Neuroscience

ScienceDaily (Apr. 22, 2012) — Researchers at Columbia University Medical Center (CUMC) have identified a molecular pathway that controls the retention and release of the brain’s stem cells. The discovery offers new insights into normal and abnormal neurologic development and could eventually lead to regenerative therapies for neurologic disease and injury. The findings, from a collaborative effort of the laboratories of Drs. Anna Lasorella and Antonio Iavarone, were published April 22in the online edition of Nature Cell Biology.

Neural stem cells detaching from the vascular niche. (Credit: Anna Lasorella, CUMC /Nature Cell Biology)

The research builds on recent studies, which showed that stem cells reside in specialized niches, or microenvironments, that support and maintain them.

"From this research, we knew that when stem cells detach from their niche, they lose their identity as stem cells and begin to differentiate into specific cell types," said co-senior author Antonio Iavarone, MD, professor of Pathology and Neurology at CUMC.

"However, the pathways that regulate the interaction of stem cells with their niche were obscure," said co-senior author Anna Lasorella, MD, associate professor of Pathology and Pediatrics at CUMC and a member of the Columbia Stem Cell Initiative.

In the brain, the stem cell niche is located in an area adjacent to the ventricles, the fluid-filled spaces within the brain. Neural stem cells (NSCs) within the niche are carefully regulated, so that enough cells are released to populate specific brain areas, while a sufficient supply is kept in reserve.

In previous studies, Drs. Iavarone and Lasorella focused on molecules called Id (inhibitor of differentiation) proteins, which regulate various stem cell properties. They undertook the present study to determine how Id proteins maintain stem cell identity.

The team developed a genetically altered strain of mice in which Id proteins were silenced, or knocked down, in NSCs. In the absence of Id proteins, mice died within 24 hours of birth. Their brains showed markedly lowered NSC proliferative capacity, and their stem cell populations were reduced.

Studies of NSCs from this strain of mice revealed that Id proteins directly regulate the production of a protein called Rap1GAP, which in turn controls Rap1, one of the master regulators of cell adhesion. The researchers found that the Id-Rap1GAP-Rap1 pathway is critical for the adhesion of NSCs to their niche and for NSC maintenance. “There may be other pathways involved, but we believe this is the key pathway,” said Dr. Iavarone. “There is good reason to believe that it operates in other kinds of stem cells, and our labs are investigating this question now.”

"This is a new idea," added Dr. Lasorella. "Before this study, the prevailing wisdom was that NSCs are regulated by the niche components, conceivably through the release of chemical attractants such as cytokines. However, our findings suggest that stem cell identity relies on this mechanism."

More research needs to be done before the findings can be applied therapeutically, Dr. Iavarone said. “Multiple studies show that NSCs respond to insults such as ischemic stroke or neurodegenerative diseases. If we can understand how to manipulate the pathways that determine stem cell fate, in the future we may be able to control NSC properties for therapeutic purposes.”

"Another aspect," added Dr. Lasorella, "is to determine whether Id proteins also maintain stem cell properties in cancer stem cells in the brain. In fact, normal stem cells and cancer stem cells share properties and functions. Since cancer stem cells are difficult to treat, identifying these pathways may lead to more effective therapies for malignant brain tumors."

Stephen G. Emerson, MD, PhD, director of the Herbert Irving Comprehensive Cancer Center at NewYork-Presbyterian Hospital/Columbia University Medical Center, added that, “Understanding the pathway that allows stem cells to develop into mature cells could eventually lead to more effective, less toxic cancer treatments. This beautiful study opens up a wholly unanticipated way to think about treating brain tumors.”

Source: Science Daily

April 20th, 2012

Multiple disease-related changes progress in parallel through distinct stages.

This schematic illustration shows the experimental arrangement for in vivo two-photon calcium imaging of stimulation-evoked neuronal activity in anesthetized mice. At left, in vivo two-photon image of the visual cortex. The neurons are stained with the calcium indicator dye Oregon Green BAPTA-1 (green, OGB-1) and the astrocytes with Sulforhodamine 101 (yellow, SR101). Right, visual stimuli were projected on a screen placed in front of the eye of the mouse. Image adapted from image credited to Konnerth lab, TU Muenchen.

Studying a mouse model of Alzheimer’s disease, neuroscientists at the Technische Universitaet Muenchen have observed correlations between increases in both soluble and plaque-forming beta-amyloid – a protein implicated in the disease process – and dysfunctional developments on several levels: individual cortical neurons, neuronal circuits, sensory cognition, and behavior. Their results, published in Nature Communications, show that these changes progress in parallel and that, together, they reveal distinct stages in Alzheimer’s disease with a specific order in time.

In addition to its well known, devastating effects on memory and learning, Alzheimer’s disease can also impair a person’s sense of smell or vision. Typically these changes in sensory cognition only show themselves behaviorally when the disease is more advanced. A new study sheds light on what is happening in the brain throughout the disease process, specifically with respect to the part of the cerebral cortex responsible for integrating visual information. A team led by Prof. Arthur Konnerth, a Carl von Linde Senior Fellow of the TUM Institute for Advanced Study, has observed Alzheimer’s-related changes in the visual cortex at the single-cell level.

Using a technique called two-photon calcium imaging, the researchers recorded both spontaneous and stimulated signaling activity in cortical neurons of living mice: transgenic mice carrying mutations that cause Alzheimer’s disease in humans, and wild-type mice as a control group. By observing how neuronal signaling responded to a special kind of vision test – in which a simple grating pattern of light and dark bars moves in front of the mouse’s eye – the scientists could characterize the visual circuit as being more or less “tuned” to specific orientations and directions of movement.

Konnerth explains, “Like many Alzheimer’s patients, the diseased mice have impairments in their ability to discriminate visual objects. Our results provide important new insights on the cause that may underlie the impaired behavior, by identifying in the visual cortex a fraction of neurons with a strongly disturbed function.” And within this group, the researchers discovered, there are two subsets of neurons – both dysfunctional, but in completely different ways. One subset, thought to be the first neurons to degenerate, showed no activity at all; the other showed a pathologically high level of activity, rendering these neurons incapable of properly sensing objects in the mouse’s environment. “While around half of the neurons in the visual cortex were disturbed in one way or the other, roughly half responded normally,” notes Christine Grienberger, a doctoral candidate in Konnerth’s institute and first author of this paper. “That could have significant implications for future research in the field of Alzheimer’s disease, as our findings raise the question of whether future work only needs to target this population of neurons that are disturbed in their function.”

The in vivo single-neuron experiments were carried out for three age groups, corresponding to different stages of this progressive, degenerative disease. The results were correlated with other measurements, including soluble beta-amyloid levels and the density of beta-amyloid plaques in the brain tissue. The researchers’ findings show for the first time a progressive decline of function in cortical circuits. “An important conclusion from this study,” Konnerth says, “is that the Alzheimer’s disease-related changes on all levels – including behavior, cortical circuit dysfunction, and the density of amyloid plaques in diseased brains – progress in parallel in a distinct temporal order. In the future, the identification of such stages in patients may help researchers pinpoint stage-specific and effective therapies, with reduced levels of side effects.”

Source: Neuroscience News

April 20th, 2012

A miniature atom-based magnetic sensor developed by the National Institute of Standards and Technology (NIST) has passed an important research milestone by successfully measuring human brain activity.

NIST’s atom-based magnetic sensor, about the size of a sugar cube, can measure human brain activity. Inside the sensor head is a container of 100 billion rubidium atoms (not seen), packaged with micro-optics (a prism and a lens are visible in the center cutout). The light from a low-power infrared laser interacts with the atoms and is transmitted through the grey fiber-optic cable to register the magnetic field strength. The black and white wires are electrical connections. Image adapted from image by Knappe/NIST.

Experiments reported this week in Biomedical Optics Express verify the sensor’s potential for biomedical applications such as studying mental processes and advancing the understanding of neurological diseases.

NIST and German scientists used the NIST sensor to measure alpha waves in the brain associated with a person opening and closing their eyes as well as signals resulting from stimulation of the hand. The measurements were verified by comparing them with signals recorded by a SQUID (superconducting quantum interference device). SQUIDs are the world’s most sensitive commercially available magnetometers and are considered the “gold standard” for such experiments. The NIST mini-sensor is slightly less sensitive now but has the potential for comparable performance while offering potential advantages in size, portability and cost.

The study results indicate the NIST mini-sensor may be useful in magnetoencephalography (MEG), a noninvasive procedure that measures the magnetic fields produced by electrical activity in the brain. MEG is used for basic research on perceptual and cognitive processes in healthy subjects as well as screening of visual perception in newborns and mapping brain activity prior to surgery to remove tumors or treat epilepsy. MEG also might be useful in brain-computer interfaces.

MEG currently relies on SQUID arrays mounted in heavy helmet-shaped flasks containing cryogenic coolants because SQUIDs work best at 4 degrees above absolute zero, or minus 269 degrees Celsius. The chip-scale NIST sensor is about the size of a sugar cube and operates at room temperature, so it might enable lightweight and flexible MEG helmets. It also would be less expensive to mass produce than typical atomic magnetometers, which are larger and more difficult to fabricate and assemble.

“We’re focusing on making the sensors small, getting them close to the signal source, and making them manufacturable and ultimately low in cost,” says NIST co-author Svenja Knappe. “By making an inexpensive system you could have one in every hospital to test for traumatic brain injuries and one for every football team.”

The mini-sensor consists of a container of about 100 billion rubidium atoms in a gas, a low-power infrared laser and fiber optics for detecting the light signals that register magnetic field strength—the atoms absorb more light as the magnetic field increases. The sensor has been improved since it was used to measure human heart activity in 2010. NIST scientists redesigned the heaters that vaporize the atoms and switched to a different type of optical fiber to enhance signal clarity.

The brain experiments were carried out in a magnetically shielded facility at the Physikalisch Technische Bundesanstalt (PTB) in Berlin, Germany, which has an ongoing program in biomagnetic imaging using human subjects. The NIST sensor measured magnetic signals of about 1 picotesla (trillionths of a tesla). For comparison, the Earth’s magnetic field is 50 million times stronger (at 50 millionths of a tesla). NIST scientists expect to boost the mini-sensor’s performance about tenfold by increasing the amount of light detected. Calculations suggest an enhanced sensor could match the sensitivity of SQUIDS. NIST scientists are also working on a preliminary multi-sensor magnetic imaging system in a prelude to testing clinically relevant applications.

Source: Neuroscience News

April 20, 2012 by Bob Yirka 

(Medical Xpress) — Researchers from the University of Groningen Medical Centre in the Netherlands have found that for women at least, watching pornographic videos tends to quiet the part of the brain most heavily involved in looking at and processing things in the immediate environment, suggesting that the brain finds arousal more important during that time than is processing what is actually being seen. The team has published a paper in The Journal of Sexual Medicine describing their findings.

To find out if the primary visual cortex is essentially deactivated during sexual arousal in women, the team enlisted 12 volunteers; all women between the ages of 18 and 47, who had not yet reached menopause. Also each was on oral birth control pills which tend to flatten menstrual cycles and smooth out sexual desire and/or anxiety. Each was shown three videos, one with no sexual connotation, another with mild sexual content, and a third that was full on hard-core porn. While they were watching the videos, the women were also having their brain activity watched via PET scans, which work by measuring blood flow to the various brain regions. It is thought that more blood flow indicates that more brainwork is occurring, which implies that when the brain delegates tasks to different regions, by sending more blood, it is demonstrating that it finds certain activities more important than others.

The team found virtually no difference in brain activity in all of the women when watching the first two videos. When watching the third however, they found that blood flow to the visual cortex was reduced in all of the volunteers indicating that the brain had decided that focusing on arousal was more important than fixating on exactly what was occurring on the screen in front of them (or that women just don’t want to really see what is going on with sex). This is in direct contrast to most other visual activities which tend to cause more blood to flow to the visual cortex to process all of the information that is coming in.

The researchers also suggest their findings help explain why women who exhibit symptoms of anxiety often report sexual problems, as high anxiety is often correlated with increased blood flow to the visual cortex due to the person reacting on a nearly constant basis to visual stimuli. They point out that for people in general, the brain cannot be both anxious and aroused, it generally has to be one or the other, or neither.

Source: medicalxpress.com

April 19th, 2012

Scientists have discovered proof that the evolution of intelligence and larger brain sizes can be driven by cooperation and teamwork, shedding new light on the origins of what it means to be human.

Scientists have discovered proof that the evolution of intelligence and larger brain sizes can be driven by cooperation and teamwork, shedding new light on the origins of what it means to be human. Image adapted from Trinity College Dublin image.

The study appears online in the journal Proceedings of the Royal Society B and was led by scientists at Trinity College Dublin: PhD student, Luke McNally and Assistant Professor Dr Andrew Jackson at the School of Natural Sciences in collaboration with Dr Sam Brown of the University of Edinburgh.

The researchers constructed computer models of artificial organisms, endowed with artificial brains, which played each other in classic games, such as the ‘Prisoner’s Dilemma’, that encapsulate human social interaction.  They used 50 simple brains, each with up to 10 internal processing and 10 associated memory nodes. The brains were pitted against each other in these classic games.

The game was treated as a competition, and just as real life favours successful individuals, so the best of these digital organisms which was defined as how high they scored in the games, less a penalty for the size of their brains were allowed to reproduce and populate the next generation of organisms.

By allowing the brains of these digital organisms to evolve freely in their model the researchers were able to show that  the transition to cooperative society  leads to the strongest selection for bigger brains. Bigger brains essentially did better as cooperation increased.

The social strategies that emerge spontaneously in these bigger, more intelligent brains show complex memory and decision making. Behaviours like forgiveness, patience, deceit and Machiavellian trickery all evolve within the game as individuals try to adapt to their social environment.

“The strongest selection for larger, more intelligent brains, occurred when the social groups were first beginning to start cooperating, which then kicked off an evolutionary Machiavellian arms race of one individual trying to outsmart the other by investing in a larger brain. Our digital organisms typically start to evolve more complex ‘brains’ when their societies first begin to develop cooperation.” explained Dr Andrew Jackson.

The idea that social interactions underlie the evolution of intelligence has been around since the mid-70s, but support for this hypothesis has come largely from correlative studies where large brains were observed in more social animals.  The authors of the current research provide the first evidence that mechanistically links decision making in social interactions with the evolution of intelligence. This study highlights the utility of evolutionary models of artificial intelligence in answering fundamental biological questions about our own origins.

“Our model differs in that we exploit the use of theoretical experimental evolution combined with artificial neural networks to actually prove that yes, there is an actual cause-and-effect link between needing a large brain to compete against and cooperate with your social group mates.”

“Our extraordinary level of intelligence defines mankind and sets us apart from the rest of the animal kingdom. It has given us the arts, science and language, and above all else the ability to question our very existence and ponder the origins of what makes us unique both as individuals and as a species,” concluded PhD student and lead author Luke McNally.

Source: Neuroscience News

April 19th, 2012

Study shows religious participation and spirituality processed in different cerebral regions.

Scientists have speculated that the human brain features a “God spot,” one distinct area of the brain responsible for spirituality. Now, University of Missouri researchers have completed research that indicates spirituality is a complex phenomenon, and multiple areas of the brain are responsible for the many aspects of spiritual experiences. Based on a previously published study that indicated spiritual transcendence is associated with decreased right parietal lobe functioning, MU researchers replicated their findings. In addition, the researchers determined that other aspects of spiritual functioning are related to increased activity in the frontal lobe.

“We have found a neuropsychological basis for spirituality, but it’s not isolated to one specific area of the brain,” said Brick Johnstone, professor of health psychology in the School of Health Professions. “Spirituality is a much more dynamic concept that uses many parts of the brain. Certain parts of the brain play more predominant roles, but they all work together to facilitate individuals’ spiritual experiences.”

In the most recent study, Johnstone studied 20 people with traumatic brain injuries affecting the right parietal lobe, the area of the brain situated a few inches above the right ear. He surveyed participants on characteristics of spirituality, such as how close they felt to a higher power and if they felt their lives were part of a divine plan. He found that the participants with more significant injury to their right parietal lobe showed an increased feeling of closeness to a higher power.

“Neuropsychology researchers consistently have shown that impairment on the right side of the brain decreases one’s focus on the self,” Johnstone said. “Since our research shows that people with this impairment are more spiritual, this suggests spiritual experiences are associated with a decreased focus on the self. This is consistent with many religious texts that suggest people should concentrate on the well-being of others rather than on themselves.”

Johnstone says the right side of the brain is associated with self-orientation, whereas the left side is associated with how individuals relate to others. Although Johnstone studied people with brain injury, previous studies of Buddhist meditators and Franciscan nuns with normal brain function have shown that people can learn to minimize the functioning of the right side of their brains to increase their spiritual connections during meditation and prayer.

In addition, Johnstone measured the frequency of participants’ religious practices, such as how often they attended church or listened to religious programs. He measured activity in the frontal lobe and found a correlation between increased activity in this part of the brain and increased participation in religious practices.

“This finding indicates that spiritual experiences are likely associated with different parts of the brain,” Johnstone said.

Written by Brad Fischer

Source: Neuroscience News

April 18, 2012

(Medical Xpress) — Practices like physical exercise, certain forms of psychological counseling and meditation can all change brains for the better, and these changes can be measured with the tools of modern neuroscience, according to a review article now online at Nature Neuroscience.

The study reflects a major transition in the focus of neuroscience from disease to well being, says first author Richard Davidson, professor of psychology at University of Wisconsin-Madison.

The brain is constantly changing in response to environmental factors, he says, and the article “reflects one of the first efforts to apply this conceptual framework to techniques to enhance qualities that we have not thought of as skills, like well-being. Modern neuroscience research leads to the inevitable conclusion that we can actually enhance well-being by training that induces neuroplastic changes in the brain.”

"Neuroplastic" changes affect the number, function and interconnections of cells in the brain, usually due to external factors.

Although the positive practices reviewed in the article were not designed using the tools and theories of modern neuroscience, “these are practices which cultivate new connections in the brain and enhance the function of neural networks that support aspects of pro-social behavior, including empathy, altruism, kindness,” says Davidson, who directs the Center for Investigating Healthy Minds at UW-Madison.

The review, co-written with Bruce McEwen of Rockefeller University, begins by considering how social stressors can harm the brain. The massive neglect of children in orphanages in Romania did not just have psychological impacts; it created measurable changes in their brains, Davidson says. “Such studies provide an important foundation for understanding the opposite effects of interventions designed to promote wellbeing.”

Davidson says his work has been shaped by his association with the Dalai Lama, who asked him in the 1990s, “Why can’t we use the same rigorous tools of neuroscience to investigate kindness, compassion and wellbeing?”

Davidson, who has explored the neurological benefits of meditation, says, “meditation is one of many different techniques, and not necessarily the best for all people. Cognitive therapy, developed in modern psychology, is one of most empirically validated treatments for depression and counteracting the effects of stress.”

Overall, Davidson says, the goal is “to use what we know about the brain to fine-tune interventions that will improve well-being, kindness, altruism. Perhaps we can develop more targeted, focused interventions that take advantage of the mechanisms of neuroplasticity to induce specific changes in specific brain circuits.”

Brains change all the time, Davidson emphasizes. “You cannot learn or retain information without a change in the brain. We all know implicitly that in order to develop expertise in any complex domain, to become an accomplished musician or athlete, requires practice, and that causes new connections to form in the brain. In extreme cases, specific parts of the brain enlarge or contract in response to our experience.”

Scientific documentation for the benefits of brain training may have broader social impacts, says Davidson. “If you go back to the 1950s, the majority of middle-class citizens in Western countries did not regularly engage in physical exercise. It was because of scientific research that established the importance of physical exercise in promoting health and well-being that more people now engage in regular physical exercise. I think mental exercise will be regarded in a similar way 20 years from now.

"Rather than think of the brain as a static organ, or one that just degenerates with age, it’s better understood as an organ that is constantly reshaping itself, is being continuously influenced, wittingly or not, by the forces around us," says Davidson, author of the new book "The Emotional Life of Your Brain." "We can take responsibility for our own brains. They are not pawns to external influences; we can be more pro-active in shaping the positive influences on the brain."

Provided by University of Wisconsin-Madison 

Source: medicalxpress.com

April 17, 2012

(HealthDay) — The ability to make decisions in new situations declines with age, apparently because of changes in the brain’s white matter, a new imaging study says.

The researchers asked 25 adults, aged 21 to 85, to perform a learning task involving money and also undergo MRI brain scans.

They found that age-related declines in decision-making are associated with the weakening of two specific white-matter pathways that connect an area called the medial prefrontal cortex (located in the cerebral cortex) with two other areas deeper in the brain, called the thalamus and the ventral striatum.

The medial prefrontal cortex is involved in decision-making, the ventral striatum is involved in emotional and motivational aspects of behavior, and the thalamus is a highly connected relay center.

"The evidence that this decline in decision-making is associated with white-matter integrity suggests that there may be effective ways to intervene," study first author Gregory Samanez-Larkin, a postdoctoral fellow in Vanderbilt University’s psychology department and Institute of Imaging Science in Nashville, Tenn., said in a university news release. "Several studies have shown that white-matter connections can be strengthened by specific forms of cognitive training."

The study was published April 11 in the Journal of Neuroscience. 

Source: medicalxpress.com

ScienceDaily (Apr. 17, 2012) — At a time when obesity has become epidemic in American society, Dartmouth scientists have found that functional magnetic resonance imaging (fMRI) brain scans may be able to predict weight gain. In a study published April 18, 2012, in The Journal of Neuroscience, the researchers demonstrated a connection between fMRI brain responses to appetite-driven cues and future behavior.

Raspberry cheesecake. The people whose brains responded more strongly to food cues were the people who went on to gain more weight six months later, researchers said. (Credit: © JJAVA / Fotolia)

"This is one of the first studies in brain imaging that uses the responses observed in the scanner to predict important, real-world outcomes over a long period of time," says Todd Heatherton, the Lincoln Filene Professor in Human Relations in the department of psychological and brain sciences and a coauthor on the study. "Using brain activity to predict a consequential behavior outside the scanner is pretty novel."

Using fMRI, the researchers targeted a region of the brain known as the nucleus accumbens, often referred to as the brain’s “reward center,” in a group of incoming first-year college students. While undergoing scans, the subjects viewed images of animals, environmental scenes, appetizing food items, and people. Six months later, their weight and responses to questionnaires regarding interim sexual behavior were compared with their previously recorded weight and brain scan data.

"The people whose brains responded more strongly to food cues were the people who went on to gain more weight six months later," explains Kathryn Demos, first author on the paper. Demos, who conducted the research as part of her doctoral dissertation at Dartmouth, is currently on the research faculty at the Warren Alpert Medical School of Brown University.

The correlation between strong food image brain responses and weight gain was also present for sexual images and activity. “Just as cue reactivity to food images was investigated as potential predictors of weight gain, cue reactivity to sexual images was used to predict sexual desire,” the authors report.

The paper stresses “material specificity,” noting that the participants who responded to food images gained weight but did not engage in more sexual behavior, and vice versa. The authors go on to say that none of the non-food images predicted weight gain.

Heatherton and William Kelley, associate professor of psychological and brain science and a senior author on the paper, have a longstanding interest in psychological theories of self-regulation, also called self-control or willpower.

"We seek to understand situations in which people face temptations and try to not act on them," says Kelley.

The researchers note that the first step toward controlling cravings may be an awareness of how much you are affected by specific triggers in the environment, such as the arrival of the dessert tray in a restaurant.

"You need to actively be thinking about the behavior you want to control in order to regulate it," remarks Kelley. "Self-regulation requires a lot of conscious effort."

Source: Science Daily

April 13th, 2012
By Kay H. Brodersen 

Researchers at ETH Zurich and the University of Zurich identify a new method of unerringly detecting the presence of pathophysiological changes in the brain.

Brain model (left) depicting brain activity stimulated by speech processing (yellow). The new method allows for the mathematical modeling of interactions between regions within the brain (right). The prism represents the transition or “Generative Embedding.” Image adapted from pr image by Brodersen KH/ ETH Zurich.

The new method was developed in order to gain a mechanistic understanding of schizophrenia and other spectrum disorders, which will lead to more accurate diagnoses and more effective treatments.

When mathematical genius John Nash was diagnosed with schizophrenia, the chance for recovery was slim. Medicine in the 1960’s simply had no convincing explanations for his condition. Alarmingly, things don’t look much better nowadays: depression, addiction, schizophrenia, and other spectrum disorders remain among the toughest challenges for medicine. This is because they are caused by complicated and largely unknown interactions between genes and the environment. Different disease mechanisms may underlie similar, or even identical, symptoms. This means that the effect of any given drug may vary hugely across individuals, resulting in trial-and-error treatment. In addition, conditions whose biological basis is not well-understood may be perceived as particularly stigmatizing.

Most spectrum disorders lack a physiological definition altogether; they are simply described in terms of particular symptoms. This is problematic when these symptoms are caused by different disease mechanisms. Conversely, existing disease classifications frequently group patients with disjoint symptoms under the same label: a person with delusions and disorganized thought, for instance, can be diagnosed with schizophrenia, just as somebody else suffering from hallucinations and movement problems. Examples such as this one show that the development of more specific diagnoses and more effective treatment will require a mechanistic understanding of the pathophysiological mechanisms underlying spectrum disorders.

One step in this direction has recently been made by Kay Henning Brodersen and Klaas Enno Stephan at ETH Zurich and the University of Zurich. Within the framework of the SystemsX.ch project ‘Neurochoice’, the two researchers investigate how insights gained from mathematical models of decision making and underlying brain function can be translated into clinical applications. “Put simply, we develop ‘mathematical microscopes’ that allow us to estimate physiological or computational quantities that cannot be measured directly,” says Klaas Enno Stephan, director of the newly founded Translational Neuromodeling Unit (TNU) in Zurich. “This allows us to obtain more accurate classifications and gain deeper mechanistic insights into the underlying condition than previous attempts.”

To demonstrate the plausibility of their idea, the two scientists collaborated with a clinical team led by Alex Leff at University College London. They analysed brain activity from two groups of participants: one group of stroke patients that suffered from language impairments; and one group of healthy volunteers. While undergoing functional magnetic resonance imaging (fMRI), participants were asked to passively listen to speech. A mathematical model was then used to assess, separately within each participant, how brain regions involved in speech processing interacted. Notably, none of the brain regions included in the model had been affected by the stroke in the patients.

The researchers then asked whether it was possible to automatically detect the presence of a remote lesion from patterns of brain connectivity in the healthy part of the brain. “Using our model of brain function, we were able to diagnose patients with an accuracy of 98%,” says Brodersen, first author of the study. “This became possible by tying together dynamic causal models of neuronal dynamics with mathematical techniques from machine learning and Bayesian inference.” In contrast to subtle spectrum disorders, of course, this initial proof-of-principle study concerned a rather salient clinical condition, that is, language impairments caused by a stroke. In the future, Stephan and Brodersen therefore plan to investigate whether their approach might work equally well for those diseases where contemporary medicine is struggling, such as schizophrenia, depression, and addiction. The two researchers hope that their approach will help dissect these spectrum disorders into pathophysiologically well-defined subgroups. Identifying such subgroups would provide an important step towards more specific diagnoses and may eventually predict the most effective treatment for an individual patient.

Source: Neuroscience News

April 11, 2012

A vast majority of cells in the brain are glial, yet our understanding of how they are generated, a process called gliogenesis, has remained enigmatic. Researchers at Baylor College of Medicine have identified a novel transcripitonal cascade that controls these formative stages of gliogenesis and answered the longstanding question of how glial cells are generated from neural stem cells.

The findings appear in the current edition of Neuron.

"Most people are familiar with neurons, cells that process and transmit information in the brain. Glial cells, on the other hand, make-up about 80 percent of the cells in the brain and function by providing trophic support to neruons, participating in neurotransmission, myelin sheaths for axons, and comprise the blood brain barrier," said Dr. Benjamin Deneen, assistant professor of neuroscience at BCM. "Importantly, glia have been linked to numerous CNS pathologies, from brain tumors and spinal cord injury and several neurological disorders including, Retts Syndrome, ALS, and Multiple Sclerosis. Therefore deciphering how glial cells are generated is key to understanding brain function during health and disease."

As researchers began investigating glial development in chicks they started by going backwards – examing what steps were needed before the glial cells matured. They discovered that glial cells are specified in neural stem cells when the transcription factor NFIA is induced.

Taking another step back in the transcriptional cascade, they looked for what triggered NFIA induction.

"By comparing mouse and chick regulatory sequences we were able to perform enhancer screening in the chick to identify regulatory elements with activity that resembled NFIA induction. This method allowed us to pinpoint Sox9," said Peng Kang, postdoctoral associate in the Center for Stem Cell and Regenerative Medicine at BCM. "Subsequently, we found that Sox9 doesn’t just induce NFIA expression, it also associates with NFIA, forming a complex."

Just after the initiation of gliogenesis this complex was discovered to co-regulate a subset of genes that play important roles in mitochondria energy metabolism and glial precursor migration.

"Sox9 induces NFIA expression during glial initiation and then binds NFIA to drive lineage progression by cooperatively regulating a genetic program that controls cell migration and energy metabolism, two key processes associated with cellular differentiation," said Deneen. "We now need to ask what other proteins contribute to this process, and how does the nature of this complex evolve during astro-glial lineage progression."

Additionally, these findings may also help researchers to understand how certain brain tumors might begin to form, as these same developmental processes and proteins are found in both adult and pediatric brain tumors. A more comprehensive understanding how this regulatory cascade operates during development, could eventually lead to better treatment targets for brain tumors.

Provided by Baylor College of Medicine

Source: medicalxpress.com

April 11, 2012

No matter what novel objects we come to behold, our brains effortlessly take us from an initial “What’s that?” to “Oh, that old thing” after a few casual encounters. In research that helps shed light on the malleability of this recognition process, Brown University neuroscientists have teased apart the potentially different roles that two distinct cell types may play.

In a study published in the journal Neuron, the researchers document that this kind of learning is based in the inferior temporal cortex (ITC), a brain area buried deep in the skull. Scientists already knew the area was important for visual recognition of familiar items, but they hadn’t figured out the steps required to move from novelty to familiarity, a process they refer to as “plasticity.”

"We know little about that because of the level at which this plasticity is taking place," said senior author David Sheinberg, professor of neuroscience and a member of the Brown Institute for Brain Science. "The inner workings made up of individual neurons make it very hard to actually track what’s going on at that level."

Working with two monkeys, in whom they monitored single neuron activity using tiny microelectrodes, Sheinberg and graduate student Luke Woloszyn tracked the firing patterns of individual neurons in the ITC while monkeys viewed 125 objects they had been trained to recognize and 125 others that they had never seen before.

The scientists found that the two major classes of cells found in the brain, excitatory and inhibitory, responded differently depending on what the monkeys saw. Excitatory neurons were especially active when the monkeys saw a preferred familiar object — the familiar image, out of the 125 such images, that the cell “liked” best. Although the particular preferred familiar image varied across the sample of neurons, almost every excitatory cell had at least one familiar image to which it responded more robustly than its preferred novel image, Sheinberg said. Inhibitory neurons, meanwhile, were much more active when the monkeys saw any novel image, independent of the object’s actual identity. 

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April 11, 2012

(Medical Xpress) — An abnormally low level of a protein in certain nerve cells is linked to movement problems that characterize the deadly childhood disorder spinal muscular atrophy, new research in animals suggests.

Spinal muscular atrophy, or SMA, is caused when a child’s motor neurons – nerve cells that send signals from the spinal cord to muscles – produce insufficient amounts of what is called survival motor neuron protein, or SMN. This causes motor neurons to die, leading to muscle weakness and the inability to move.

Though previous research has established the disease’s genetic link to SMN in motor neurons, scientists haven’t yet uncovered how this lack of SMN does so much damage. Some children with the most severe form of the disease die before age 2.

A research team led by Ohio State University scientists showed in zebrafish that when SMN is missing – in cells throughout the body as well as in motor neurons specifically – levels of a protein called plastin 3 also decrease.

When the researchers added plastin 3 back to motor neurons in zebrafish that were genetically altered so they couldn’t produce SMN, the zebrafish regained most of their swimming abilities movement that had been severely limited by their reduced SMN. These findings tied the presence of plastin 3 – alone, without SMN – to the recovery of lost movement.

The recovery was not complete. Fish without SMN in their cells still eventually died, so the addition of plastin 3 alone is not a therapeutic option. But further defining this protein’s role increases understanding of how spinal muscular atrophy develops.

“What all is lost when SMN is lost? That’s something we’re still struggling with,” said Christine Beattie, associate professor of neuroscience at Ohio State and lead author of the study.

“We think part of the motor neuron defects that are seen in spinal muscular atrophy are caused by this decrease in plastin 3 we get when SMN is lowered. And when we add plastin 3 back to motor neurons we can rescue defects that are seen when SMN is decreased, suggesting that a decrease in plastin 3 is contributing to some of the disease’s characteristics.” 

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April 11, 2012

A recent study finds that a new compound reverses many of the major symptoms associated with Fragile X syndrome (FXS), the most common form of inherited intellectual disability and a leading cause of autism. The paper, published by Cell Press in the April 12 issue of the journal Neuron, describes the exciting observation that the FXS correction can occur in adult mice, after the symptoms of the condition have already been established.

Fragile X patients suffer from a complex set of neuropsychiatric symptoms of varying severity which include anxiety, hyperactivity, learning and memory deficits, low IQ, social and communication deficits, and seizures. Previous research has suggested that inhibition of mGlu5, a subtype of receptor for the excitatory neurotransmitter glutamate, may be useful for ameliorating many of the major symptoms of the disease.

The new study, a collaboration between a group at F. Hoffmann-La Roche Ltd. in Switzerland, led by Dr. Lothar Lindemann, and a group at the Picower Institute for Learning at the Massachusetts Institute of Technology, led by Dr. Mark Bear, used a newly developed mGlu5 inhibitor called CTEP to examine whether pharmacologic inhibition of mGlu5 could reverse FXS symptoms.

The researchers used a mouse model of FXS and administered CTEP after the brain had matured. “We found that even when treatment with CTEP was started in adult mice, it reduced a wide range of FXS symptoms, including learning and memory deficits and auditory hypersensitivity, as well as morphological changes and signaling abnormalities characteristic of the disease,” reports Dr. Lindemann.

Although the CTEP drug itself is not being developed for humans, the findings have significance for human FXS. “The most important implications of our study are that many aspects of FXS are not caused by an irreversible disruption of brain development, and that correction of the altered glutamate signaling can provide widespread therapeutic benefit,” explains Dr. Bear.

The researchers agree that future work may shed light on treatment of FXS in humans. “It will be of great interest to see whether treatment of FXS in human patients can be addressed in a similar broad fashion and with a similar magnitude as was suggested by our preclinical data,” conclude Dr. Lindemann and Dr. Bear. “We anticipate that disturbed signaling can be corrected with other small molecule therapies targeting mGlu5 that are currently being used in human clinical trials.”

Provided by Cell Press

Source: medicalxpress.com

April 11, 2012

The discovery, using state-of-the-art informatics tools, increases the likelihood that it will be possible to predict much of the fundamental structure and function of the brain without having to measure every aspect of it. That in turn makes the Holy Grail of modelling the brain in silico — the goal of the proposed Human Brain Project — a more realistic, less Herculean, prospect.

“It is the door that opens to a world of predictive biology,” says Henry Markram. Credit: EPFL

"It is the door that opens to a world of predictive biology," says Henry Markram, the senior author on the study, which is published this week in PLoS ONE.

Within a cortical column, the basic processing unit of the mammalian brain, there are roughly 300 different neuronal types. These types are defined both by their anatomical structure and by their electrical properties, and their electrical properties are in turn defined by the combination of ion channels they present—the tiny pores in their cell membranes through which electrical current passes, which make communication between neurons possible.

Scientists would like to be able to predict, based on a minimal set of experimental data, which combination of ion channels a neuron presents. They know that genes are often expressed together, perhaps because two genes share a common promoter—the stretch of DNA that allows a gene to be transcribed and, ultimately, translated into a functioning protein—or because one gene modifies the activity of another. The expression of certain gene combinations is therefore informative about a neuron’s characteristics, and Georges Khazen and co-workers hypothesised that they could extract rules from gene expression patterns to predict those characteristics.

They took a dataset that Prof Markram and others had collected a few years ago, in which they recorded the expression of 26 genes encoding ion channels in different neuronal types from the rat brain. They also had data classifying those types according to a neuron’s morphology, its electrophysiological properties and its position within the six, anatomically distinct layers of the cortex. They found that, based on the classification data alone, they could predict those previously measured ion channel patterns with 78 per cent accuracy. And when they added in a subset of data about the ion channels to the classification data, as input to their data-mining programme, they were able to boost that accuracy to 87 per cent for the more commonly occurring neuronal types.

"This shows that it is possible to mine rules from a subset of data and use them to complete the dataset informatically," says one of the study’s authors, Felix Schürmann. "Using the methods we have developed, it may not be necessary to measure every single aspect of the behaviour you’re interested in." Once the rules have been validated in similar but independently collected datasets, for example, they could be used to predict the entire complement of ion channels presented by a given neuron, based simply on data about that neuron’s morphology, its electrical behaviour and a few key genes that it expresses.

Researchers could also use such rules to explore the roles of different genes in regulating transcription processes. And importantly, if rules exist for ion channels, they are also likely to exist for other aspects of brain organisation. For example, the researchers believe it will be possible to predict where synapses are likely to form in neuronal networks, based on information about the ratio of neuronal types in that network. Knowledge of such rules could therefore usher in a new era of predictive biology, and accelerate progress towards understanding and modelling the brain.

Provided by Ecole Polytechnique Federale de Lausanne

Source: medicalxpress.com

April 10, 2012

Scientists report that they have mapped the physical architecture of intelligence in the brain. Theirs is one of the largest and most comprehensive analyses so far of the brain structures vital to general intelligence and to specific aspects of intellectual functioning, such as verbal comprehension and working memory.

A new study found that specific structures, primarily on the left side of the brain, are vital to general intelligence and executive function (the ability to regulate and control behavior). Brain regions that are associated with general intelligence and executive function are shown in color, with red indicating common areas, orange indicating regions specific to general intelligence, and yellow indicating areas specific to executive function. Credit: Aron Barbey

Their study, published in Brain: A Journal of Neurology, is unique in that it enlisted an extraordinary pool of volunteer participants: 182 Vietnam veterans with highly localized brain damage from penetrating head injuries.

"It’s a significant challenge to find patients (for research) who have brain damage, and even further, it’s very hard to find patients who have focal brain damage," said University of Illinois neuroscience professor Aron Barbey, who led the study. Brain damage – from stroke, for example – often impairs multiple brain areas, he said, complicating the task of identifying the cognitive contributions of specific brain structures.

But the very focal brain injuries analyzed in the study allowed the researchers “to draw inferences about how specific brain structures are necessary for performance,” Barbey said. “By studying how damage to particular brain regions produces specific forms of cognitive impairment, we can map the architecture of the mind, identifying brain structures that are critically important for specific intellectual abilities.”

The researchers took CT scans of the participants’ brains and administered an extensive battery of cognitive tests. They pooled the CT data to produce a collective map of the cortex, which they divided into more than 3,000 three-dimensional units called voxels. By analyzing multiple patients with damage to a particular voxel or cluster of voxels and comparing their cognitive abilities with those of patients in whom the same structures were intact, the researchers were able to identify brain regions essential to specific cognitive functions, and those structures that contribute significantly to intelligence.

"We found that general intelligence depends on a remarkably circumscribed neural system," Barbey said. "Several brain regions, and the connections between them, were most important for general intelligence."

These structures are located primarily within the left prefrontal cortex (behind the forehead), left temporal cortex (behind the ear) and left parietal cortex (at the top rear of the head) and in “white matter association tracts” that connect them. (Watch a video about the findings.)

The researchers also found that brain regions for planning, self-control and other aspects of executive function overlap to a significant extent with regions vital to general intelligence.

The study provides new evidence that intelligence relies not on one brain region or even the brain as a whole, Barbey said, but involves specific brain areas working together in a coordinated fashion.

"In fact, the particular regions and connections we found support an emerging body of neuroscience evidence indicating that intelligence depends on the brain’s ability to integrate information from verbal, visual, spatial and executive processes," he said.

The findings will “open the door to further investigations into the biological basis of intelligence, exploring how the brain, genes, nutrition and the environment together interact to shape the development and continued evolution of the remarkable intellectual abilities that make us human,” Barbey said.

Provided by University of Illinois at Urbana-Champaign

Source: medicalxpress.com

April 9, 2012 by Stuart Mason Dambrot      

(Medical Xpress) — The link between dreaming and rapid eye movement (REM) sleep are well understood – but the fact that consciousness is reduced during nonrapid eye movement (NREM) sleep is not. Recently, scientists in the Cyclotron Research Centre at the University of Liège, in Liège, Belgium, and the Institut National de la Santé et de la Recherche Médicale at the Université Pierre et Marie Curie in Paris, and the Functional Neuroimaging Unit at the Montreal Geriatrics Institute, investigated NREM sleep with the hypothesis that this phenomenon is associated with increased modularity of the brain’s functional activity during these periods. Using functional clustering – which estimates how integration is hierarchically organized within and across the constituent parts of a system they found that while in NREM sleep, hierarchically-organized large-scale neural networks were disaggregated into smaller independent modules. The researchers concluded that this difference could reduce the ability of the brain to integrate information, thereby accounting for the decreased consciousness experienced during NREM sleep.

(A) The six networks extracted during wakefulness. (B) Levels of brain hierarchical integration. (C) Increases in functional clustering ratio in the brain and the six networks (all significant with a probability >0.95). Networks: dATT, dorsal attentional; DM, default mode; EC, executive control; MOT, sensorimotor; SAL, salience; VIS, visual. Copyright © PNAS, doi: 10.1073/pnas.111113310

Led by Pierre Maquet at the Cyclotron Research Centre and Habib Benali at the Institut National de la Santé et de la Recherche Médicale, the team faced a fundamental challenge in framing their research. Maquet first notes that there is currently no consensus on what consciousness really is, let alone how it arises.

“For many years,” he explains to Medical Xpress, “Giulio Tononi put forward the hypothesis that consciousness is related to the ability of the brain to integrate information. Our objective was simply to test this hypothesis, using novel tools allowing for the computation of information exchange within the brain and a set of EEG/fMRI data recorded in the same individuals during wakefulness and deep NREM sleep.” The latter state, he adds, is arguably the condition associated with the most reduce conscious content in normal human volunteers.

Maquet notes that the team used methods devised by Benali. “These allow us to measure the hierarchical organization of integration – i.e., information. The data itself,” he continues, “were acquired in Liège. Conducting simultaneous EEG/fMRI recordings in sleeping volunteers is not that easy.” Moreover, he notes, in practice, their findings are only one small step toward a better understanding of consciousness – and, for that matter, unconsciousness.

“The results were rather unexpected in that the amount of information exchanged in the brain actually increased during sleep. However, the patterns of exchange between regions were different than during wakefulness. Essentially, there was an increased information exchange within small clusters of mainly homologous brain areas whereas communication between clusters significantly decreased during sleep.” Thus, he points out, the data support their hypothesis.

The team has already defined the next steps in their research, says Maquet, who acknowledges that fMRI suffers from a rather sluggish signal. “The next step is to apply the methods to EEG, which has a much better time resolution.” He also states that it might it be possible to transition to in silico modeling, and that there are attempts in this direction in some laboratories.

A key advantage of the team’s approach was relying on functional clustering rather than so-called total integration in neural network analysis. “This is a big question,” states Maquet. “We don’t know what is the information exchanged within clusters, and I don’t see any technique that could currently answer this question in humans. More generally,” he adds, “it is thought that NREM sleep is regulated by the homeostasis of synaptic strength, and perhaps by neuronal energy metabolism.” These assumptions, he concludes, are being studied in animal models.

Source: medicalxpress.com

April 9, 2012

The part of the brain we use when engaging in egalitarian behavior may also be linked to a larger sense of morality, researchers have found. Their conclusions, which offer scientific support for Adam Smith’s theories of morality, are based on experimental research published in the latest issue of the Proceedings of the National Academy of Sciences.

The study, coming seven months after the start of the Occupy Wall Street Movement, which has been aimed at addressing income inequality, was conducted by researchers from: New York University’s Wilf Family Department of Politics; the University of Toronto; the University of California, San Diego; the University of California, Davis; and the University of Nebraska, Lincoln.

Previous scholarship has established that two areas of the brain are active when we behave in an egalitarian manner—the ventromedial prefrontal cortex (vmPFC) and the insular cortex, which are two neurological regions previously shown to be related to social preferences such as altruism, reciprocity, fairness, and aversion to inequality. Less clear, however, is how these parts of the brain may also be connected to egalitarian behavior in a group setting.

To explore this possibility, the researchers conducted an experiment in which individuals played a game to gauge brain activity in decision-making. In the “random income game” participants in a group are randomly assigned a level of income and the group is assigned to one of three income distributions. Subjects are shown the income of all members of their group, including their own, on a computer screen. Individuals are then asked if they wish to pay a cost in order to increase or decrease the incomes of group members. Subjects are told they may keep the money they don’t give away to the others shown on their screen, so there is a strong incentive not to part with any of the money already allocated to them. Nonetheless, the researchers found that the study’s subjects frequently sought to reallocate resources so the money was more equally distributed among the group members.

During this period, the researchers gauged the subjects’ neurological activity through functional magnetic resonance imaging (fMRI). As shown in previous studies, the researchers found significant activity in the brain’s vmPFC and insular cortex.

But to get at a more detailed understanding of neurological activity during these behaviors, they also examined whether activations in these areas were associated with two additional measures of egalitarian preferences elicited outside of the fMRI. As part of a survey, subjects were asked their level of agreement or disagreement to six questions, which included: “Our society should do whatever is necessary to make sure that everyone has an equal opportunity to succeed” and “This country would be better off if we worried less about how equal people are.” In addition, subjects completed a series of decision-making tasks asking them to split money with another anonymous person. The choices individuals make in this task are a measure of egalitarian behavior.

The researchers found that these two measures of egalitarian preferences were significantly associated with activations in the insular cortex, but not with the vmPFC.

This particular result is a potentially profound one as the insular cortex is also the part of the brain that processes the relationship of the individual with respect to her or his environment. In other words, egalitarian behavior may not exist in isolation, neurologically speaking, but, rather, be part of a larger process that stems from altruism and a sense of the larger social good.

Adam Smith, in The Theory of Moral Sentiments, expressed this perspective in his 18th-century essay.

"Adam Smith contended that moral sentiments like egalitarianism derived from a ‘fellow-feeling’ that would increase with our level of sympathy for others, predicting not merely aversion to inequity, but also our propensity to engage in egalitarian behaviors," the researchers wrote. "The evidence here supports such an interpretation—our results suggest that it is the brain mechanisms involved in experiencing the emotional and social states of self and others that appear to be driving egalitarian behaviors. This conclusion is consistent with a broader view of the insular cortex as a neural substrate that processes the relationship of the individual with respect to his or her environment."

Provided by New York University 

Source: medicalxpress.com

April 5th, 2012

Discovery of key link between circadian rhythms and metabolism may lead to new therapies for sleep disorders and diabetes.

The discovery of a major gear in the biological clock that tells the body when to sleep and metabolize food may lead to new drugs to treat sleep problems and metabolic disorders, including diabetes.

Scientists at the Salk Institute for Biological Studies, led by Ronald M. Evans, a professor in Salk’s Gene Expression Laboratory, showed that two cellular switches found on the nucleus of mouse cells, known as REV-ERB-α and REV-ERB-β, are essential for maintaining normal sleeping and eating cycles and for metabolism of nutrients from food.

The findings, reported March 29 in Nature, describe a powerful link between circadian rhythms and metabolism and suggest a new avenue for treating disorders of both systems, including jet lag, sleep disorders, obesity and diabetes.

“This fundamentally changes our knowledge about the workings of the circadian clock and how it orchestrates our sleep-wake cycles, when we eat and even the times our bodies metabolize nutrients,” says Evans. “Nuclear receptors can be targeted with drugs, which suggests we might be able to target REV-ERB-α and β to treat disorders of sleep and metabolism.”

Nurses, emergency personnel and others who work shifts that alter the normal 24-hour cycle of waking and sleeping are at much higher risk for a number of diseases, including metabolic disorders such as diabetes. To address this, scientists are trying to understand precisely how the biological clock works and uncover possible targets for drugs that could adjust the circadian rhythm in people with sleep disorders and circadian-associated metabolic disorders.

In mammals, the circadian timing system is orchestrated by a central clock in the brain and subsidiary clocks in most other organs. The master clock in the brain is set by light and determines the overall diurnal or nocturnal preference of an animal, including sleep-wake cycles and feeding behavior.

Scientists knew that two genes, BMAL1 and CLOCK, worked together at the core of the clock’s molecular machinery to activate the network of circadian genes. In this way, BMAL1 acts like the accelerator on a car, activating genes to rev up our physiology each morning so that we are alert, hungry and physically active.

Prior to this work REV-ERB-α and β were thought to play only a minor role in these cycles, possibly working together to slow CLOCK-BMAL1 activity to make minor adjustments to keep the clock running on time.

However, genetic studies of two genes with similar functions can be very difficult and thus the real importance of REV-ERB-α and β remained mysterious.

The Salk scientists got around this hurdle by developing mice in which both genes could be turned off in the liver at any point by giving them an estrogen derivative called tamoxifen. Now mice could develop normally to adulthood, at which point the scientists could turn off REV-ERB-α and REV-ERB-β in their livers—an organ crucial to maintaining the correct balance of sugar and fat in blood—to see what effects it had on circadian rhythms and metabolism.

“When we turned off both receptors, the animal’s biological clocks went haywire,” says Han Cho, first author on the paper and a postdoctoral researcher in Evan’s laboratory. “The mice started running on their exercise wheels when they should have been resting. This suggested REV-ERB-α and REV-ERB-β aren’t an auxiliary system that makes minor adjustments, but an integral part of the clock’s core mechanism. Without them, the clock can’t function properly.”

Digging more deeply into the clockworks, the Salk scientists mapped out the genes that the REV-ERBs control to keep the body operating on the right schedule, finding that they overlap with hundreds of the same genes controlled by CLOCK and BMAL1. This and other findings suggested that the REV-ERBs, act as a break on the genes BMAL1 activates.

“We thought that the core of the clock was an accelerator, and that all REV-ERB-α and REV-ERB-β did was to pull the foot off that pedal,” says Evans. “What we’ve shown is that these receptors act directly as a break to slow clock activity. Now we’ve got a accelerator and a break, each equally important in creating the daily rhythm of the clock.”

The scientists also found that the REV-ERBs control the activity of hundreds of genes involved metabolism, including those responsible for controlling levels of fats and bile. The mice in which REV-ERB-α and REV-ERB-β were turned off had high levels of fat and sugar in their blood—common problems in people with metabolic disorders.

“This explains how our cellular metabolism is tied to daylight cycles determined by the movements of the sun and the earth,” says Satchidananda Panda, an associate professor in Salk’s Regulatory Biology Laboratory and co-author on the paper. “Now we want to find ways of leveraging this mechanism to fix a person’s metabolic rhythms when they are disrupted by travel, shift work or sleep disorders.”

Source: Neuroscience News

April 5th, 2012

Yale researchers show in detail how three genes within human embryonic stem cells regulate development, a finding that increases understanding of how to grow these cells for therapeutic purposes.

This process, described in the April 6 issue of the journal Cell Stem Cell, is different in humans than in mice, highlighting the importance of research using human embryonic stem cells.

“It is difficult to deduce from the mouse how these cells work in humans,” said Natalia Ivanova, assistant professor of genetics in the Yale Stem Cell Center and senior author of the study. “Human networks organize themselves quite differently.”

Embryonic stem cells form soon after conception and are special because each cell can become any type of cell in the body. Cells become increasingly specialized as development progresses, losing the ability to become other cell types — except for the renewal of a few new stem cells. Scientists want to understand the processes of self-renewal and differentiation in order to treat a host of diseases characterized by damaged cells such as Parkinson’s disease, spinal cord injury, heart disease, and Alzheimer’s.

Scientists have identified three genes active in early development — Nanog, Oct 4, and Sox 2 — as essential to maintaining the stem cell’s ability to self-renew and prevent premature differentiation into the “wrong” type of cells. Because of restrictions on the use of human embryonic stem cells, much of the investigation into how these genes work has been done in mice.

The new study shows that human embryonic cells operate in fundamentally different ways in humans than in mouse cells. In humans, for instance, Nanog pairs with Oct 4 to regulate differentiation of so-called neuro-ectoderm cells, a lineage that gives rise to neurons and other central nervous system cells. Sox 2, by contrast, inhibits the differentiation of mesoderm — a lineage that gives rise to muscles and many other tissue types. Oct 4 cooperates with the other genes and is crucial in the regulation of all four early cell lineages: ectoderm, mesoderm, and endoderm — which gives rise to gut and glands such as liver and pancreas — as well as the creation of new stem cells. The self-renewal of stem cells has been implicated in several forms of cancer.

Ivanova stresses that many other genes must be involved in regulation of these early developmental changes, and her lab is investigating that question now.

Source: Neuroscience News

April 4, 2012

Brain pacemakers have a long-term effect in patients with the most severe depression. This has now been proven by scientists from the Bonn University Medical Center. Eleven patients took part in the study over a period of two to five years. A lasting reduction in symptoms of more than 50 percent was seen in nearly half of the subjects. The results are now being presented in the current edition of the journal Neuropsychopharmacology.

People with severe depression are constantly despondent, lacking in drive, withdrawn and no longer feel joy. Most suffer from anxiety and the desire to take their own life. Approximately one out of every five people in Germany suffers from depression in the course of his/her life – sometimes resulting in suicide. People with depression are frequently treated with psychotherapy and medication. “However, many patients are not helped by any therapy,” says Prof. Dr. Thomas E. Schläpfer from the Bonn University Medical Center for Psychiatry and Psychotherapy. “Many spend more than ten years in bed – not because they are tired, but because they have no drive at all and they are unable to get up.”

One possible alternative is “deep brain stimulation,” in which electrodes are implanted in the patient’s brain. The target point is the nucleus accumbens - an area of the brain known as the gratification center. There, a weak electrical current stimulates the nerve cells. Brain pacemakers of this type are often used today by neurosurgeons and neurologists to treat ongoing muscle tremors in Parkinson’s disease.

A 2009 study proved an antidepressive effect

In 2009, the Bonn scientists were able to establish that brain pacemakers also demonstrate an effect in the most severely depressed patients. Ten subjects who underwent implantation of electrodes in the nucleus accumbens all experienced relief of symptoms. Half of the subjects had a particularly noticeable response to the stimulation by the electrodes.

"In the current study, we investigated whether these effects last over the long term or whether the effects of the deep brain stimulation gradually weaken in patients," says Prof. Schläpfer. There are always relapses in the case of psychotherapy or drug treatment. Many patients had already undergone up to 60 treatments with psychotherapy, medications and electroconvulsive therapy, to no avail. "By contrast, in the case of deep brain stimulation, the clinical improvement continues steadily for many years." The scientists observed a total of eleven patients over a period of two to five years. "Those who initially responded to the deep brain stimulation are still responding to it even today," says the Bonn psychiatrist, summarizing the results. During the study, one patient committed suicide. "That is very unfortunate," says Prof. Schläpfer. "However, this cannot always be prevented in the case of patients with very severe depression."

he current study shows that the positive effects last for years

Even after a short amount of time, the study participants demonstrated an improvement in symptoms. “The intensity of the anxiety symptoms decreased and the subjects’ drive improved,” reports the psychiatrist. “After many years of illness, some were even able to work again.” With the current publication, the scientists have now demonstrated that the positive effects do not decrease over a longer period of time. “An improvement in symptoms was recorded for all subjects; for nearly half of the subjects, the extent of the symptoms was more than 50 percent below that of the baseline, even years after the start of treatment,” says Prof. Schläpfer. “There were no serious adverse effects of the therapy recorded.”

The long-term effect is now confirmed with the current study. How precisely the electrical stimulation is able to alter the function of the nucleus accumbens is not yet known. “Research is still needed in this area,” says Prof. Schläpfer. “Using imaging techniques, it was proven that the electrodes actually activate the nucleus accumbens.” The deep brain stimulation method may signify hope for people who suffer from the most severe forms of depressive diseases. “However, it will still take quite a bit of time before this therapeutic method becomes a part of standard clinical practice,” says the Bonn scientist.

Provided by University of Bonn 

Source: medicalxpress.com

April 4, 2012

Awakening from anesthesia is often associated with an initial phase of delirious struggle before the full restoration of awareness and orientation to one’s surroundings. Scientists now know why this may occur: primitive consciousness emerges first. Using brain imaging techniques in healthy volunteers, a team of scientists led by Adjunct Professor Harry Scheinin, M.D. from the University of Turku, Finland in collaboration with investigators from the University of California, Irvine, have now imaged the process of returning consciousness after general anesthesia. The emergence of consciousness was found to be associated with activations of deep, primitive brain structures rather than the evolutionary younger neocortex.

This image shows one returning from oblivion — imaging the neural core of consciousness. Positron emission tomography (PET) findings show that the emergence of consciousness after anesthesia is associated with activation of deep, phylogenetically old brain structures rather than the neocortex. Left: Sagittal (top) and axial (bottom) sections show activation in the anterior cingulate cortex (i), thalamus (ii) and the brainstem (iii) locus coeruleus/parabrachial area overlaid on magnetic resonance image (MRI) slices. Right: Cortical renderings show no evident activations. Credit: Turku PET Center

These results may represent an important step forward in the scientific explanation of human consciousness.

"We expected to see the outer bits of brain, the cerebral cortex (often thought to be the seat of higher human consciousness), would turn back on when consciousness was restored following anesthesia. Surprisingly, that is not what the images showed us. In fact, the central core structures of the more primitive brain structures including the thalamus and parts of the limbic system appeared to become functional first, suggesting that a foundational primitive conscious state must be restored before higher order conscious activity can occur" Scheinin said.

Twenty young healthy volunteers were put under anesthesia in a brain scanner using either dexme-detomidine or propofol anesthetic drugs. The subjects were then woken up while brain activity pictures were being taken. Dexmedetomidine is used as a sedative in the intensive care unit setting and propofol is widely used for induction and maintenance of general anesthesia. Dexmedetomidineinduced unconsciousness has a close resemblance to normal physiological sleep, as it can be reversed with mild physical stimulation or loud voices without requiring any change in the dosing of the drug. This unique property was critical to the study design, as it enabled the investigators to separate the brain activity changes associated with the changing level of consciousness from the drugrelated effects on the brain. The staterelated changes in brain activity were imaged with positron emission tomography (PET).

The emergence of consciousness, as assessed with a motor response to a spoken command, was associated with the activation of a core network involving subcortical and limbic regions that became functionally coupled with parts of frontal and inferior parietal cortices upon awakening from dexme-detomidine-induced unconsciousness. This network thus enabled the subjective awareness of the external world and the capacity to behaviorally express the contents of consciousness through voluntary responses.

Interestingly, the same deep brain structures, i.e. the brain stem, thalamus, hypothalamus and the anterior cingulate cortex, were activated also upon emergence from propofol anesthesia, suggesting a common, drugindependent mechanism of arousal. For both drugs, activations seen upon regaining consciousness were thus mostly localized in deep, phylogenetically old brain structures rather than in the neocortex.

The researchers speculate that because current depth-of-anesthesia monitoring technology is based on cortical electroencephalography (EEG) measurement (i.e., measuring electrical signals on the sur-face of the scalp that arise from the brain’s cortical surface), their results help to explain why these devices fail in differentiating the conscious and unconscious states and why patient awareness during general anesthesia may not always be detected. The results presented here also add to the current understanding of anesthesia mechanisms and form the foundation for developing more reliable depth-of-anesthesia technology.

The anesthetized brain provides new views into the emergence of consciousness. Anesthetic agents are clinically useful for their remarkable property of being able to manipulate the state of consciousness. When given a sufficient dose of an anesthetic, a person will lose the precious but mysterious capacity of being aware of one’s own self and the surrounding world, and will sink into a state of oblivion. Conversely, when the dose is lightened or wears off, the brain almost magically recreates a subjective sense of being as experience and awareness returns. The ultimate nature of consciousness remains a mystery, but anesthesia offers a unique window for imaging internal brain activity when the subjective phenomenon of consciousness first vanishes and then re-emerges. This study was designed to give the clearest picture so far of the internal brain processes involved in this phenomenon.

The results may also have broader implications. The demonstration of which brain mechanisms are involved in the emergence of the conscious state is an important step forward in the scientific explanation of consciousness. Yet, much harder questions remain. How and why do these neural mechanisms create the subjective feeling of being, the awareness of self and environment the state of being conscious?

Provided by Academy of Finland

Source: medicalxpress.com

April 3rd, 2012

Working in mice, scientists at Washington University School of Medicine in St. Louis have devised a treatment that prevents the optic nerve injury that occurs in glaucoma, a neurodegenerative disease that is a leading cause of blindness.

Researchers increased the resistance of optic nerve cells to damage by repeatedly exposing the mice to low levels of oxygen similar to those found at high altitudes. The stress of the intermittent low-oxygen environment induces a protective response called tolerance that makes nerve cells — including those in the eye — less vulnerable to harm.

The study, published online in Molecular Medicine, is the first to show that tolerance induced by preconditioning can protect against a neurodegenerative disease.

Stress is typically thought of as a negative phenomenon, but senior author Jeffrey M. Gidday, PhD, associate professor of neurological surgery and ophthalmology, and others have previously shown that the right kinds of stress, such as exercise and low-oxygen environments, can precondition cells and induce changes that make them more resistant to injury and disease.

Scientists previously thought tolerance in the central nervous system only lasted for a few days. But last year Gidday developed a preconditioning protocol that extended the effects of tolerance from days to months. By exposing mice to hypoxia, or low oxygen concentrations, several times over a two-week period, Gidday and colleagues triggered an extended period of tolerance. After preconditioning ended, the brain was protected from stroke damage for at least 8 weeks.

“Once we discovered tolerance could be extended, we wondered whether this protracted period of injury resistance could also protect against the slow, progressive loss of neurons that characterizes neurodegenerative diseases,” Gidday says.

To find out, Gidday turned to an animal model of glaucoma, a condition linked to increases in the pressure of the fluid that fills the eye. The only treatments for glaucoma are drugs that reduce this pressure; there are no therapies designed to protect the retina and optic nerves from harm.

Scientists classify glaucoma as a neurodegenerative disease based on how slowly and progressively it kills retinal ganglion cells. The bodies of these cells are located in the retina of the eye; their branches or axons come together in bundles and form the optic nerves. Scientists don’t know if damage begins in the bodies or axons of the cells, but as more and more retinal ganglion cells die, patients experience peripheral vision loss and eventually become blind.

For the new study, Yanli Zhu, MD, research instructor in neurosurgery, induced glaucoma in mice by tying off vessels that normally allow fluid to drain from the eye. This causes pressure in the eye to increase. Zhu then assessed how many cell bodies and axons of retinal ganglion cells were intact after three or 10 weeks.

The investigators found that normal mice lost an average of 30 percent of their retinal ganglion cell bodies after 10 weeks of glaucoma. But mice that received the preconditioning before glaucoma-inducing surgery lost only 3 percent of retinal ganglion cell bodies.

“We also showed that preconditioned mice lost significantly fewer retinal ganglion cell axons,” Zhu says.

Gidday is currently investigating which genes are activated or repressed by preconditioning. He hopes to identify the changes in gene activity that make cells resistant to damage.

“Previous research has shown that there are literally hundreds of survival genes built into our DNA that are normally inactive,” Gidday says. “When these genes are activated, the proteins they encode can make cells much less vulnerable to a variety of injuries.”

Identifying specific survival genes should help scientists develop drugs that can activate them, according to Gidday.

Neurologists are currently conducting clinical trials to see if stress-induced tolerance can reduce brain damage after acute injuries like stroke, subarachnoid hemorrhage or trauma.

Gidday hopes his new finding will promote studies of tolerance’s potential usefulness in animal models of Parkinson’s disease, Alzheimer’s disease and other neurodegenerative conditions.

“Neurons in the central nervous system appear to be hard-wired for survival,” Gidday says. “This is one of the first steps in establishing a framework for how we can take advantage of that metaphorical wiring and use positive stress to help treat a variety of neurological diseases.”

Source: Neuroscience News

April 3, 2012

Researchers at the University of Montreal’s Sainte-Justine Hospital have identified how neural cells like those in our bodies are able to build up resistance to opioid pain drugs within hours. Humans have known about the usefulness of opioids, which are often harvested from poppy plants, for centuries, but we have very little insight into how they lose their effectiveness in the hours, days and weeks following the first dose.

"Our study revealed cellular and molecular mechanisms within our bodies that enables us to develop resistance to this medication, or what scientists call drug tolerance," lead author Dr. Graciela Pineyro explained. "A better understanding of these mechanisms will enable us to design drugs that avoid tolerance and produce longer therapeutic responses."

The research team looked at how drug molecules would interact with molecules called “receptors” that exist in every cell in our body. Receptors, as the name would suggest, receive “signals” from the chemicals that they come into contact with, and the signals then cause the various cells to react in different ways. They sit on the cell wall, and wait for corresponding chemicals known as receptor ligands to interact with them. “Until now, scientists have believed that ligands acted as ‘on- off’ switches for these receptors, all of them producing the same kind of effect with variations in the magnitude of the response they elicit,” Pineyro explained. “We now know that drugs that activate the same receptor do not always produce the same kind of effects in the body, as receptors do not always recognize drugs in the same way. Receptors will configure different drugs into specific signals that will have different effects on the body.”

Pineyro is attempting to tease the “painkilling” function of opioids from the part that triggers mechanisms that enable tolerance to build up. “My laboratory and my work are mostly structured around rational drug design, and trying to define how drugs produce their desired and non desired effects, so as to avoid the second, Pineyro said. “If we can understand the chemical mechanisms by which drugs produce therapeutic and undesired side effects, we will be able to design better drugs.”

Once activated by a drug, receptors move from the surface of the cell to its interior, and once they have completed this ‘journey’, they can either be destroyed or return to the surface and used again through a process known as “receptor recycling.” By comparing two types of opioids – DPDPE and SNC-80 – the researchers found that the ligands that encouraged recycling produced less analgesic tolerance than those that didn’t. “We propose that the development of opioid ligands that favour recycling could be away of producing longer-acting opioid analgesics,” Pineyro said.

Provided by University of Montreal

Source: medicalxpress.com

April 3, 2012

Epilepsy affects 50 million people worldwide, but in a third of these cases, medication cannot keep seizures from occurring. One solution is to shoot a short pulse of electricity to the brain to stamp out the seizure just as it begins to erupt. But brain implants designed to do this have run into a stubborn problem: too many false alarms, triggering unneeded treatment. To solve this, Johns Hopkins biomedical engineers have devised new seizure detection software that, in early testing, significantly cuts the number of unneeded pulses of current that an epilepsy patient would receive.

Sridevi Sarma’s research focuses on a system with three components: electrodes implanted in the brain, which are connected by wires to a neurostimulator or battery pack, and a sensing device, also located in the brain implant, which detects when a seizure is starting and activates the current to stop it. Credit: Greg Stanley/JHU

Sridevi V. Sarma, an assistant professor of biomedical engineering, is leading this effort to improve anti-seizure technology that sends small amounts of current into the brain to control seizures.

"These devices use algorithms — a series of mathematical steps —to figure out when to administer the treatment," Sarma said. "They’re very good at detecting when a seizure is about to happen, but they also produce lots of false positives, sometimes hundreds in one day. If you introduce electric current to the brain too often, we don’t know what the health impacts might be. Also, too many false alarms can shorten the life of the battery that powers the device, which must be replaced surgically."

Her new software was tested on real-time brain activity recordings collected from four patients with drug-resistant epilepsy who experienced seizures while being monitored. In a study published recently in the journal Epilepsy & Behavior, Sarma’s team reported that its system yielded superior results, including flawless detection of actual seizures and up to 80 percent fewer alarms when a seizure was not occurring. Although the testing was not conducted on patients in a clinical setting, the results were promising.

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ScienceDaily (Apr. 3, 2012) — Depressed individuals with a tendency to ruminate on negative thoughts, i.e. to repeatedly think about particular negative thoughts or memories, show different patterns of brain network activation compared to healthy individuals, report scientists of a new study in Biological Psychiatry.

The risk for depression is increased in individuals with a tendency towards negative ruminations, but patterns of autobiographic memory also may be predictive of depression.

When asked to recall specific events, some individuals have a tendency to recall broader categories of events instead of specific events. This is termed overgeneral memory and, like those who tend to ruminate, these individuals also have a higher risk of developing depression.

These self-referential activities engage a network of brain regions called the default mode network, or DMN. Prior studies using imaging techniques have already shown that the DMN activates abnormally in individuals with depression, but the relationship between DMN activity and depressive ruminations was not clear.

In this new report, Dr. Shuqiao Yao of Central South University in Hunan, China and colleagues evaluated DMN functional connectivity in untreated young adults experiencing their first episode of major depression and healthy volunteers. Each participant underwent a brain scan and completed tests to measure their levels of rumination and overgeneral memory.

As expected, the depressed patients exhibited higher levels of rumination and overgeneral memory than did the control subjects. They also observed increased functional connectivity in the anterior medial cortex regions and decreased functional connectivity in the posterior medial cortex regions in depressed patients compared with control subjects.

Among the depressed subjects, an interesting pattern of dissociation emerged. The increased connectivity in anterior regions was positively associated with rumination, while the decreased connectivity in posterior regions was negatively associated with overgeneral memory.

Dr. Yao commented on the importance of these findings: “In the future, resting-state network activity in the brain will provide useful models for investigating network features of cognitive dysfunction in psychopathology.”

"As we dig deeper in brain imaging studies, we are becoming increasingly interested in the activity of brain circuits rather than single brain regions," said Dr. John Krystal, Editor of Biological Psychiatry. “Although it is a more complicated process, studying brain circuits may provide greater insight into symptoms, such as depressive ruminations. The current study nicely illustrates how altered activity at different sites within a brain network may be related to different features of depression.”

Source: Science Daily

April 3, 2012 By Miles O’ Brien and Jon Baime

(Medical Xpress) — It’s a chilling thought—losing the sense of sight because of severe injury or damage to the brain’s visual cortex. But, is it possible to train a damaged or injured brain to “see” again after such a catastrophic injury? Yes, according to Tony Ro, a neuroscientist at the City College of New York, who is artificially recreating a condition called blindsight in his lab.

"Blindsight is a condition that some patients experience after having damage to the primary visual cortex in the back of their brains. What happens in these patients is they go cortically blind, yet they can still discriminate visual information, albeit without any awareness." explains Ro.

[Video]

While no one is ever going to say blindsight is 20/20, Ro says it holds tantalizing clues to the architecture of the brain. “There are a lot of areas in the brain that are involved with processing visual information, but without any visual awareness.” he points out. “These other parts of the brain receive input from the eyes, but they’re not allowing us to access it consciously.”

With support from the National Science Foundation’s (NSF) Directorate for Social, Behavioral and Economic Sciences, Ro is developing a clearer picture of how other parts of the brain, besides the visual cortex, respond to visual stimuli.

In order to recreate blindsight, Ro must find a volunteer who is willing to temporarily be blinded by having a powerful magnetic pulse shot right into their visual cortex. The magnetic blast disables the visual cortex and blinds the person for a split second. “That blindness occurs very shortly and very rapidly—on the order of one twentieth of a second or so,” says Ro.

On the day of Science Nation’s visit to Ro’s lab in the Hamilton Heights section of Manhattan, volunteer Lei Ai is seated in a small booth in front of a computer with instructions to keep his eyes on the screen. A round device is placed on the back of Ai’s head. Then, the booth is filled with the sound of consistent clicks, about two seconds apart. Each click is a magnetic pulse disrupting the activity in his visual cortex, blinding him. Just as the pulse blinds him, a shape, such as a diamond or a square, flashes onto a computer screen in front of him.

Ro says that 60 to nearly 100 percent of the time, test subjects report back the shape correctly. “They’ll be significantly above chance levels at discriminating those shapes, even though they’re unaware of them. Sometimes they’re nearly perfect at it,” he adds.

Ro observes what happens to other areas of Ai’s brain during the instant he is blinded and a shape is flashed on the screen. While the blindness wears off immediately with no lasting effects, according to Ro, the findings are telling. “There are likely to be a lot of alternative visual pathways that go into the brain from our eyes that process information at unconscious levels,” he says.

Ro believes understanding and mapping those alternative pathways might be the key to new rehabilitative therapies. “We have a lot of soldiers returning home who have a lot of brain damage to visual areas of the brain. We might be able to rehabilitate these patients,” he says. And that’s something worth looking into.

Provided by National Science Foundation

Source: medicalxpress.com

April 3, 2012

The brains of people with anorexia and obesity are wired differently, according to new research. Neuroscientists for the first time have found that how our brains respond to food differs across a spectrum of eating behaviors – from extreme overeating to food deprivation. This study is one of several new approaches to help better understand and ultimately treat eating disorders and obesity.

Eating disorders have the highest mortality rate of any mental illness. And more than two-thirds of the U.S. population are overweight or obese – a health factor associated with cardiovascular issues, diabetes, and cancer. “This body of work not only increases our understanding of the relationship between food and brain function but can also inform weight loss programs,” says Laura Martin of Hoglund Brain Imaging Center at the University of Kansas Medical Center, one of several researchers whose work being presented today at a meeting of cognitive neuroscientists in Chicago.

"One of the most intriguing aspects of these studies of the brain on food," Martin says, is that they show "consistent activations of reward areas of the brain that are also implicated in studies of addiction." However, how those reward areas respond to food differs between people depending on their eating behaviors, according to the new brain imaging study by Laura Holsen of Harvard Medical School and Brigham and Women’s Hospital and colleagues.

Holsen’s team conducted fMRI brain scans of individuals with one of three eating conditions – anorexia nervosa, simple obesity, and Prader-Willi syndrome (extreme obesity) – as well as healthy control subjects. When hungry, those with anorexia, who severely restrict their food intake, showed substantially decreased responses to various pictures of food in regions of their brains associated with reward and pleasure. For those who chronically overeat, there were significantly increased responses in those same brain regions.

"Our findings provide evidence of an overall continuum relating food intake behavior and weight outcomes to food reward circuitry activity," Holsen says. Her work also has implications, she says, for everyday eating decisions in healthy individuals. "Even in individuals who do not have eating disorders, there are areas of the brain that assist in evaluating the reward value of different foods, which in turn plays a role in the decisions we make about which foods to eat."

Kyle Simmons of the Laureate Institute studies the neural mechanisms that govern such everyday eating decisions. His work with fMRI scans has found that as soon as people see food, their brains automatically gather information about how they think it will taste and how that will make them feel. The brain scans showed an apparent overlap in the region on the insula that responds to seeing food pictures and the region of the insula that processes taste, the “primary gustatory cortex.”

Simmons is currently expanding this work to better understand the differences in taste preferences between lean, healthy individuals and obese ones. “We simply don’t know yet if differences exist between lean and obese participants,” he says. “And knowing which brain regions underlie inferences about food taste and reward is critical if we are going to develop efficacious interventions for obesity and certain eating disorders, both of which are associated with enormous personal and public health costs.”

Provided by Cognitive Neuroscience Society

Source: medicalxpress.com

April 2, 2012

New research confirms that childhood onset temporal lobe epilepsy has a significant impact on brain aging. Study findings published in Epilepsia, a peer-reviewed journal of the International League Against Epilepsy (ILAE), show age-accelerated ventricular expansion outside the normal range in this patient population.

According to the Centers for Disease Control and Prevention (CDC), epilepsy affects nearly 2 million Americans. Temporal lobe epilepsy is the most common form of partial epilepsy, with 60% of all patients having this form of the disease. Previous evidence suggests that patients with childhood onset epilepsy have significant cognitive and developmental deficiencies, which continue into adulthood, particularly in those resistant to antiepileptic drugs.

Prior imaging studies of patients with temporal lobe epilepsy have shown abnormalities in brain structure in hippocampus, in thalamus and other subcortical structures, and also in cortical and white matter volume. However, there is limited knowledge of the effects of aging on these structural changes.

To characterize differences in brain structure and patterns of age-related change, Dr. Bruce Hermann and colleagues from the University of Wisconsin-Madison recruited 55 patients with chronic temporal lobe epilepsy and 53 healthy controls for their study. Participants were between the ages of 14 and 60, with patients having mean age of onset of epilepsy in childhood/adolescence. Magnetic resonance imaging (MRI) was used to measure cortical thickness, area and volume in the brains of all subjects.

In participants with epilepsy, there were extensive abnormalities in brain structure, involving subcortical regions, cerebellum and cortical gray matter thickness and volume in the temporal and extratemporal lobes. Furthermore, researchers found that increasing chronological age was associated with progressive changes in cortical, subcortical and cerebellar regions for both epilepsy subjects and healthy controls. The pattern of change was similar for both groups, but epilepsy patients always showed more extensive abnormalities. In particular, epilepsy patients displayed age-accelerated expansion of the lateral and third ventricles. “The anatomic abnormalities in patients with epilepsy indicate a significant neurodevelopmental impact,” said Dr. Hermann.

"Patients with epilepsy are burdened with significant neurodevelopmental challenges due to these cumulative brain abnormalities," concludes Dr. Hermann. "The consequences of these anatomical changes for epilepsy patients as they progress into elder years remain unknown and further study of the adverse effects in those of older chronological age is needed."

Provided by Wiley

Source: medicalxpress.com

April 2, 2012

One of the most frustrating challenges for some stroke patients can be the inability to find and speak words even if they know what they want to say. Speech therapy is laborious and can take months. New research is seeking to cut that time significantly, with the help of non-invasive brain stimulation.

"Non-invasive brain stimulation can allow painless, inexpensive, and apparently safe method for cognitive improvement with with potential long term efficacy," says Roi Cohen Kadosh of the University of Oxford. Recent results, presented this week at a meeting of cognitive neuroscientists in Chicago, offer exciting possibilities for improving variety of abilities – from speech to memory to numerical proficiency.

A focus of many of these studies is tDCS – transcranial direct current stimulation. In tDCS, researchers apply weak electrical currents to the head via electrodes for a short period of time, for example 20 minutes. The currents pass through the skull and alter spontaneous neural activity. Some types of stimulation excite the neurons, while others suppress them. Subjects usually feel only a slight tingling for less than 30 seconds. The effects of tDCS can last for up to 12 months, Cohen Kadosh says, “most likely due to molecular and cellular changes that are important mechanisms implementing learning and memory.”

Stimulating speech recovery

For Jenny Crinion of University College London, who is both a neuroscientist and clinical speech and language therapist, the interest in tDCS sprang from a desire to help stroke patients through their long recovery. While speech therapy works well at improving speech following aphasic stroke, it can be frustratingly slow. She hopes to pair brain-stimulation interventions with proven language-rehabilitation methods, Crinion says, “such that the same maximum recovery is ultimately achieved as with therapy alone but with fewer hours of rehab.”

Crinion’s current work focuses on understanding how tDCS affects the areas of the brain involved in speech production. She paired an fMRI picture-naming study with a 6-week-long tDCS and word-finding treatment study to see if brain stimulation could improve stroke patients’ speech both immediately after treatment and three months later. In the picture-naming task, people were presented with pictures of simple, everyday words such as car and asked to name them as quickly and accurately as possible.

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April 2, 2012

Sleep plays a powerful role in preserving our memories. But while recent research shows that wakefulness may cloud memories of negative or traumatic events, a new study has found that wakefulness also degrades positive memories. Sleep, it seems, protects positive memories just as it does negative ones, and that has important implications for the treatment of post-traumatic stress disorder.

"The study of how sleep helps us remember and process emotional information is still young," says Alexis Chambers of the University of Notre Dame. Past work has focused on the role of negative memories for sleep, in particular how insomnia is a healthy biological response for people to reduce negative memories and emotions associated with a traumatic event.

Two new studies presented this week at a meeting of cognitive neuroscientists in Chicago are exploring the flip side: how sleep treats the positive. “Only if we investigate all the possibilities within this field will we ever fully understand the processes underlying our sleep, memory, and emotions,” Chambers says.

Protecting the positive

To test how sleep affects positive memories, Rebecca Spencer of the University of Massachusetts, Amherst, and her colleagues split 70 young adults into two groups, one that got to sleep overnight and one that had to stay awake. Both groups viewed images of positive items, such as puppies and flowers, and neutral items, such as furniture or dinner plates. The researchers then tested the participants’ memories of and emotional reactions to the images 12 hours later, after either the period of sleep or wake.

They found that “sleep enhances our emotionally positive memories while these memories decay over wake,” Spencer says. “Positive memories may even be prioritized for processing during sleep.” But while people remembered the positive images more than the neutral ones, their emotional response to the positive images did not change over sleep versus wake. “It doesn’t matter if you went to sleep or stayed awake – what you thought was a ‘9’ – really great – you still think is a ‘9’,” she says. 

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April 2, 2012

(Medical Xpress) — A research team including University of Wyoming neurobiologist Jeff Woodbury has discovered a new technique to determine how the touch sensory system is organized in hairy skin, providing a new understanding of the sense of touch.

The journal Cell’s cover story features research findings by University of Wyoming neurobiologist Jeff Woodbury. He was part of a research team that is providing a new understanding of the sense of touch.

Their findings were selected to appear as the feature and cover article in Cell, one of the pre-eminent international journals in the biological sciences.

The research provides the first picture of how nerve cells that carry signals from hair on the skin are organized. Unlike all other senses, the skin is least amenable to study and has remained the most poorly understood.

"We have described the system that is in place to help explain how sensory information is processed to perceive the sense of touch," says Woodbury, an associate professor in the UW Department of Zoology and Physiology. He was part of a multidisciplinary research team led by David Ginty from Johns Hopkins University. Colleen Cassidy, a doctoral student in Woodbury’s lab, was a co-author of the study, which also included colleagues from the Howard Hughes Medical Institute at Rockefeller University, University of Pennsylvania and University of Pittsburgh.

"We have also been able to identify how combinations of nerve cells respond to fine-tactile stimuli, so we can now really begin to tease apart the circuitry of touch sensation," Woodbury adds. "One of the real breakthroughs is that, for the first time in more than 200 years of study, we now know the specific functions of some of the many different kinds of nerve endings in the skin. This is truly exciting and a major advance."

Mice have several different types of hair follicles in their coat, each of which is linked to the central nervous system by low-threshold wire-like nerve cells that stretch all the way to the spinal cord. There, the myriad signals carried from the skin are integrated, processed and sent to the brain.

This network of nerve endings in the skin of most hairy mammals, including humans, allows them to perceive fine tactile sensations, such as a drop of rain or an insect landing on their skin. The researchers now have a better understanding of how this complex system is organized. Before this discovery, Woodbury says there was no way to see how all of these different nerve cells were arranged — both in the skin and at the top of the spinal cord, where they end up.

The study, Woodbury says, opens doors to understanding not only touch, but skin senses such as temperature detection and pain.

"Touch is ultimately felt in the brain; it alerts us that something is going on," he says. "We have identified the logic of how this system is organized. We now know that each individual hair is a distinct sensory organ, and each one will detect different forces. A broad spectrum of frequencies within a given stimulus are ultimately recombined and analyzed until we become aware that something has happened, like a drop of rain or a light breeze."

Once the different sensory neurons are identified, researchers could test hypotheses about the role of these cells in the process of sensation.

"For example, researchers could study the animal, in the presence or absence of each of the different types of sensory cells, to determine differences in the animal’s behavior," Woodbury says. "It will be possible to shut them off, take them out of the picture, to see how the animal responds to different types of stimulation. The key to understanding any system is first to gain a marker to identify all the different components, and we have made a major step in that direction."

Provided by University of Wyoming

Source: medicalxpress.com

April 2, 2012

New research published in the April issue of The Journal of Nuclear Medicine reveals that systemic inflammation causes an increase in depressive symptoms and metabolic changes in the parts of the brain responsible for mood and motivation. With this finding, researchers can begin to test potential treatments for depression for patients that experience symptoms that are related to inflammation in the body or within the brain.

Multiple studies in rodents have shown that inflammation in the body has effects on the brain. This has also been shown in a few human studies—both through measurements of behavioral changes and brain imaging—when subjects were engaged in various computer tasks. The study “Glucose Metabolism in the Insula and Cingulate Is Affected by Systemic Inflammation in Humans,” however, for the first time measured brain activity when subjects were at rest.

"In the study we used F-18 fluorodeoxyglucose (FDG) positron emission tomography (PET), which can accurately measure glucose metabolism in the brain, to determine which brain regions responded to systemic inflammation. Since the subjects were at rest, the changes we observed in the brain can only attributed to systemic inflammation," noted Jonas Hannestad, MD, PhD, lead author of the article.

In the study, nine healthy individuals received a double-blind endotoxin (which elicits systemic inflammation and mild depressive symptoms such as fatigue and reduced social interest) and placebo on different days. After administration, F-18 FDG PET was used to measure the differences in the cerebral metabolic rate of glucose in the insula, cingulate and amygdala regions of the brain. Behavior changes were also primarily assessed on the Montgomery-Asberg Depression Rating Scale (MADRS).

A statistical analysis of the results showed that endotoxin administration was associated with a higher normalized glucose metabolism (NMG) in the insula and lower NMG in the cingulate compared to the placebo; there was no significant difference in the NMG in the amygdala. Seven of nine subjects had an increase in NMG in the insula and a decrease in NMG in the cingulate, and all nine subjects had a decrease in NMG in the right anterior cingulate, suggesting that systemic inflammation induces fundamental physiologic changes in regional brain glucose metabolism. In addition, the MADRS increased for each subject after endotoxin administration, whereas no significant change was noted with the placebo.

Most researchers agree that depression is not a homogeneous disease, but rather that there are multiple mechanisms that can lead to similar symptoms. “If we can show that a subtype of depression is caused in part by inflammation,” said Hannestad, “we can test the ability of treatments that reduce inflammation in only patients in whom we believe inflammation plays a role. In the future, I expect that researchers in this field will be able to develop more precise PET measures that can be used to distinguish between, for instance, a person with ‘inflammatory depression’ and a person with another kind of depression. PET could then be used as diagnostic biomarker to separate subtypes of depression and as a therapeutic biomarker to detect the response to treatment.”

Nearly 17 percent of adults experience depression at some point over their lifetime, with 30.4 percent of cases classified as severe, according to the U.S. National Institute of Mental Health. Fifty-seven percent of adults with depression report receiving treatment in the past 12 months, although 37.8 percent receive minimally adequate treatment.

Provided by Society of Nuclear Medicine

Source: medicalxpress.com

April 2, 2012

A team of University of Pittsburgh mathematicians is using computational models to better understand how the structure of neural variability relates to such functions as short-term memory and decision making. In a paper published online April 2 in Proceedings of the National Academy of Sciences (PNAS), the Pitt team examines how fluctuations in brain activity can impact the dynamics of cognitive tasks.

Previous recordings of neural activity during simple cognitive tasks show a tremendous amount of trial-to-trial variability. For example, when a person was instructed to hold the same stimulus in working, or short-term, memory during two separate trials, the brain cells involved in the task showed very different activity during the two trials.

"A big challenge in neuroscience is translating variability expressed at the cellular and brain-circuit level with that in cognitive behaviors," said Brent Doiron, assistant professor of mathematics in Pitt’s Kenneth P. Dietrich School of Arts and Sciences and the project’s principal investigator. "It’s a fact that short-term memory degrades over time. If you try to recall a stored memory, there likely will be errors, and these cognitive imperfections increase the longer that short-term memory is engaged."

Doiron explains that brain cells increase activity during short-term memory functions. But this activity randomly drifts over time as a result of stochastic (or chance) forces in the brain. This drifting is what Doiron’s team is trying to better understand.

"As mathematicians, what we’re really trying to do is relate the structure and dynamics of this stochastic variability of brain activity to the variability in cognitive performance," said Doiron. "Linking the variability at these two levels will give important clues about the neural mechanisms that support cognition."

Using a combination of statistical mechanics and nonlinear system theory, the Pitt team examined the responses of a model of a simplified memory network proposed to be operative in the prefrontal cortex. When sources of neural variability were distributed over the entire network, as opposed to only over subsections, the performance of the memory network was enhanced. This helped the Pitt team make the prediction published in PNAS, that brain wiring affects how neural networks contend with—and ultimately express—variability in memory and decision making.

Recently, experimental neurosciencists are getting a better understanding of how the brain is wired, and theories like those published in PNAS by Doiron’s group give a context for their findings within a cognitive framework. The Doiron group plans to apply the general principle of linking brain circuitry to neural variability in a variety of sensory, motor, and memory/decision-making frameworks.

Provided by University of Pittsburgh

Source: medicalxpress.com

April 2nd, 2012

Therapy to mend parts of the brain damaged by strokes has moved a step closer, thanks to research at Monash University’s Australian Regenerative Medicine Institute (ARMI) and the Florey Neuroscience Institutes (FNI).

Scientists, James Bourne and Jihane Homman-Ludiye, of ARMI, and Tobias Merson, of FNI, have discovered precursor cells in the visual processing region of the brains of young marmoset monkeys which can form new brain cells in a culture dish.

The work, published recently in the journal, PLoS One, raises the possibility of new therapies for victims of brain injuries such as stroke.

Commenting on the work, Stem Cells Australia’s Professor Martin Pera said “These results, which point strongly to the existence of stem cells in the primate cortex, have important implications for understanding normal brain function and add to a growing body of evidence that stem or progenitor cells may participate in the repair of injuries to this critical region of the brain.”

The team isolated a type of cell from the brain tissue of two-week-old marmoset monkeys, which have similar brains to humans.

They exposed the cells to various combinations of growth factors – proteins that promote cell proliferation – to see if the cells would multiply and form neurons in the culture dish.

Some of the cells started to multiply to form clusters of cells called neurospheres – the forerunners of mature brain cells – when treated with two specific growth factors. This puts them in a class of cells called neural progenitors. Like stem cells, these cells can convert into specialist cells to form various tissues.

It was once thought that our full complement of brain cells was fixed at birth. That view has been toppled in recent decades with the discovery of stem cells in the human brain that can form new neurons in adulthood, said Dr Merson, a neuroscientist.

But until now, those cells have been thought to be limited to two regions of the brain, including the hippocampus, which is involved in memory and learning.

The team’s breakthrough suggests that cells with the ability to form new neurons after birth are much more widespread in the brain. The cells under investigation in this latest research were isolated from the primary visual cortex, the brain structure at the back of the head involved in the processing of stimuli from the eyes. “This structure is very big in humans and other primates and is often affected by brain injury,” Dr Bourne said.

“Our results support the view that this region of the brain has the potential to generate new neurons at later stages than once thought,” Dr Merson said. “We were surprised at how easily we were able to generate the proliferating neurospheres. We were able to propagate them, and keep them in culture for up to a year.”

He said other regions of the brain involved in sensory processing could harbour similar cells.

The scientists plan further research to see if the production of new neurons after birth occurs naturally in the primary visual cortex, and whether the mechanism could be activated after injury.

“It could be plausible to manipulate the progenitor cells to produce more neurons,” Dr Bourne said.

Source: Neuroscience News

ScienceDaily (Apr. 2, 2012) — Scientists from the Florida campus of The Scripps Research Institute have shown in animal models that the loss of memory that comes with aging is not necessarily a permanent thing.

In a new study published this week in an advance, online edition of the journal Proceedings of the National Academy of Science, Ron Davis, chair of the Department of Neuroscience at Scripps Florida, and Ayako Tonoki-Yamaguchi, a research associate in Davis’s lab, took a close look at memory and memory traces in the brains of both young and old fruit flies.

What they found is that like other organisms — from mice to humans — there is a defect that occurs in memory with aging. In the case of the fruit fly, the ability to form memories lasting a few hours (intermediate-term memory) is lost due to age-related impairment of the function of certain neurons. Intriguingly, the scientists found that stimulating those same neurons can reverse these age-related memory defects.

"This study shows that once the appropriate neurons are identified in people, in principle at least, one could potentially develop drugs to hit those neurons and rescue those memories affected by the aging process," Davis said. "In addition, the biochemistry underlying memory formation in fruit flies is remarkably conserved with that in humans so that everything we learn about memory formation in flies is likely applicable to human memory and the disorders of human memory."

While no one really understands what is altered in the brain during the aging process, in the current study the scientists were able to use functional cellular imaging to monitor the changes in the fly’s neuron activity before and after learning.

"We are able to peer down into the fly brain and see changes in the brain," Davis said. "We found changes that appear to reflect how intermediate-term memory is encoded in these neurons."

Olfactory memory, which was used by the scientists, is the most widely studied form of memory in fruit flies — basically pairing an odor with a mild electric shock. These tactics produce short-term memories that persist for around a half-hour, intermediate-term memory that lasts a few hours, and long-term memory that persists for days.

The team found that in aged animals, the signs of encoded memory were absent after a few hours. In that way, the scientists also learned exactly which neurons in the fly are altered by aging to produce intermediate-term memory impairment. This advance, Davis notes, should greatly help scientists understand how aging alters neuronal function.

Intriguingly, the scientists took the work a step further and stimulated these neurons to see if the memory could be rescued. To do this, the scientists placed either cold-activated or heat-activated ion channels in the neurons known to become defective with aging and then used cold or heat to stimulate them. In both cases, the intermediate-term memory was successfully rescued.

Source: Science Daily

ScienceDaily (Apr. 2, 2012) — An international team of researchers involving the University of Adelaide has made a major discovery that could lead to more effective treatment of severe pain using morphine.

Morphine is an extremely important drug for pain relief, but it can lead to a range of side-effects — such as patients developing tolerance to morphine and increased sensitivity to pain. Until now, how this occurs has remained a mystery.

The team from the University of Colorado and University of Adelaide has shown for the first time how opioid drugs, such as morphine, create an inflammatory response in the brain — by activating an immune receptor in the brain.

They have also demonstrated how this brain immune receptor can be blocked, laying the groundwork for the development of new therapeutic drugs that improve the effectiveness of morphine while reducing many of its problematic side effects.

The results of this research are published April 2 in the Proceedings of the National Academy of Sciences (PNAS).

"Because morphine is considered to be such an important drug in the management of moderate to severe pain in patients right around the world, we believe these results will have far-reaching benefits," says study co-author Dr Mark Hutchinson, ARC Research Fellow in the University of Adelaide’s School of Medical Sciences.

Dr Hutchinson’s team, including University of Adelaide colleague Professor Andrew Somogyi, conducted studies in mice to validate the work done at the University of Colorado by the teams of Assistant Professor Hubert Yin and Professor Linda Watkins.

"For some time it’s been assumed that the inflammatory response from morphine was being caused via the classical opioid receptors," says Dr Hutchinson.

"However, we found instead that morphine binds to an immune receptor complex called toll-like receptor 4 (TLR4), and importantly this occurs in a very similar way to how this receptor detects bacteria.

"Our experiments in mice have shown that if this relationship with the immune receptor is disrupted, it will prevent the inflammatory response.

"This is an exciting result because it opens up possibilities for future drugs that promote the beneficial actions of morphine while negating some of the harmful side effects. This could lead to major advances in patient and palliative care," he says.

Source: Science Daily

ScienceDaily (Apr. 2, 2012) — As computer scientists this year celebrate the 100_th anniversary of the birth of the mathematical genius Alan Turing, who set out the basis for digital computing in the 1930s to anticipate the electronic age, they still quest after a machine as adaptable and intelligent as the human brain.

Now, computer scientist Hava Siegelmann of the University of Massachusetts Amherst, an expert in neural networks, has taken Turing’s work to its next logical step. She is translating her 1993 discovery of what she has dubbed “Super-Turing” computation into an adaptable computational system that learns and evolves, using input from the environment in a way much more like our brains do than classic Turing-type computers. She and her post-doctoral research colleague Jeremie Cabessa report on the advance in the current issue of Neural Computation.

"This model is inspired by the brain," she says. "It is a mathematical formulation of the brain’s neural networks with their adaptive abilities." The authors show that when the model is installed in an environment offering constant sensory stimuli like the real world, and when all stimulus-response pairs are considered over the machine’s lifetime, the Super Turing model yields an exponentially greater repertoire of behaviors than the classical computer or Turing model. They demonstrate that the Super-Turing model is superior for human-like tasks and learning.

"Each time a Super-Turing machine gets input it literally becomes a different machine," Siegelmann says. "You don’t want this for your PC. They are fine and fast calculators and we need them to do that. But if you want a robot to accompany a blind person to the grocery store, you’d like one that can navigate in a dynamic environment. If you want a machine to interact successfully with a human partner, you’d like one that can adapt to idiosyncratic speech, recognize facial patterns and allow interactions between partners to evolve just like we do. That’s what this model can offer."

Classical computers work sequentially and can only operate in the very orchestrated, specific environments for which they were programmed. They can look intelligent if they’ve been told what to expect and how to respond, Siegelmann says. But they can’t take in new information or use it to improve problem-solving, provide richer alternatives or perform other higher-intelligence tasks.

In 1948, Turing himself predicted another kind of computation that would mimic life itself, but he died without developing his concept of a machine that could use what he called “adaptive inference.” In 1993, Siegelmann, then at Rutgers, showed independently in her doctoral thesis that a very different kind of computation, vastly different from the “calculating computer” model and more like Turing’s prediction of life-like intelligence, was possible. She published her findings in Science and in a book shortly after.

"I was young enough to be curious, wanting to understand why the Turing model looked really strong," she recalls. "I tried to prove the conjecture that neural networks are very weak and instead found that some of the early work was faulty. I was surprised to find out via mathematical analysis that the neural models had some capabilities that surpass the Turing model. So I re-read Turing and found that he believed there would be an adaptive model that was stronger based on continuous calculations."

Each step in Siegelmann’s model starts with a new Turing machine that computes once and then adapts. The size of the set of natural numbers is represented by the notation aleph-zero, ℵ₀, representing also the number of different infinite calculations possible by classical Turing machines in a real-world environment on continuously arriving inputs. By contrast, Siegelmann’s most recent analysis demonstrates that Super-Turing computation has 2^ℵ0, possible behaviors. “If the Turing machine had 300 behaviors, the Super-Turing would have 2³⁰⁰, more than the number of atoms in the observable universe,” she explains.

The new Super-Turing machine will not only be flexible and adaptable but economical. This means that when presented with a visual problem, for example, it will act more like our human brains and choose salient features in the environment on which to focus, rather than using its power to visually sample the entire scene as a camera does. This economy of effort, using only as much attention as needed, is another hallmark of high artificial intelligence, Siegelmann says.

"If a Turing machine is like a train on a fixed track, a Super-Turing machine is like an airplane. It can haul a heavy load, but also move in endless directions and vary its destination as needed. The Super-Turing framework allows a stimulus to actually change the computer at each computational step, behaving in a way much closer to that of the constantly adapting and evolving brain," she adds.

Siegelmann and two colleagues recently were notified that they will receive a grant to make the first ever Super-Turing computer, based on Analog Recurrent Neural Networks. The device is expected to introduce a level of intelligence not seen before in artificial computation.

Source: Science Daily

ScienceDaily (Apr. 2, 2012) — Testosterone, the primary male sex hormone, appears to have antidepressant properties, but the exact mechanisms underlying its effects have remained unclear. Nicole Carrier and Mohamed Kabbaj, scientists at Florida State University, are actively working to elucidate these mechanisms.

They’ve discovered that a specific pathway in the hippocampus, a brain region involved in memory formation and regulation of stress responses, plays a major role in mediating testosterone’s effects, according to their new report in Biological Psychiatry.

Compared to men, women are twice as likely to suffer from an affective disorder like depression. Men with hypogonadism, a condition where the body produces no or low testosterone, also suffer increased levels of depression and anxiety. Testosterone replacement therapy has been shown to effectively improve mood.

Although it may seem that much is already known, it is of vital importance to fully characterize how and where these effects are occurring so that scientists can better target the development of future antidepressant therapies.

To advance this goal, the scientists performed multiple experiments in neutered adult male rats. The rats developed depressive-like behaviors that were reversed with testosterone replacement.

They also “identified a molecular pathway called MAPK/ERK2 (mitogen activated protein kinase/ extracellular regulated kinase 2) in the hippocampus that plays a major role in mediating the protective effects of testosterone,” said Kabbaj.

This suggests that the proper functioning of ERK2 is necessary before the antidepressant effects of testosterone can occur. It also suggests that this pathway may be a promising target for antidepressant therapies.

Kabbaj added, “Interestingly, the beneficial effects of testosterone were not associated with changes in neurogenesis (generation of new neurons) in the hippocampus as it is the case with other classical antidepressants like imipramine (Tofranil) and fluoxetine (Prozac).”

In results published elsewhere by the same group, testosterone has shown beneficial effects only in male rats, not in female rats.

Source: Science Daily

ScienceDaily (Apr. 2, 2012) — Why do some persons succumb to post-traumatic stress disorder (PTSD) while others who suffered the same ordeal do not? A new UCLA study sheds light on the answer.

UCLA scientists have linked two genes involved in serotonin production to a higher risk of developing PTSD. Published in the April 3 online edition of the Journal of Affective Disorders, the findings suggest that susceptibility to PTSD is inherited, pointing to new ways of screening for and treating the disorder.

"People can develop post-traumatic stress disorder after surviving a life-threatening ordeal like war, rape or a natural disaster," explained lead author Dr. Armen Goenjian, a research professor of psychiatry at the Semel Institute for Neuroscience and Human Behavior at UCLA. "If confirmed, our findings could eventually lead to new ways to screen people at risk for PTSD and target specific medicines for preventing and treating the disorder."

PTSD can arise following child abuse, terrorist attacks, sexual or physical assault, major accidents, natural disasters or exposure to war or combat. Symptoms include flashbacks, feeling emotionally numb or hyper-alert to danger, and avoiding situations that remind one of the original trauma.

Goenjian and his colleagues extracted the DNA of 200 adults from several generations of 12 extended families who suffered PTSD symptoms after surviving the devastating 1988 earthquake in Armenia.

In studying the families’ genes, the researchers found that persons who possessed specific variants of two genes were more likely to develop PTSD symptoms. Called TPH1 and TPH2, these genes control the production of serotonin, a brain chemical that regulates mood, sleep and alertness — all of which are disrupted in PTSD.

"We suspect that the gene variants produce less serotonin, predisposing these family members to PTSD after exposure to violence or disaster," said Goenjian. "Our next step will be to try and replicate the findings in a larger, more heterogeneous population."

Affecting about 7 percent of Americans, PTSD has become a pressing health issue for a large percentage of war veterans returning from Iraq and Afghanistan. The UCLA team’s discovery could be used to help screen persons who may be at risk for developing PTSD.

"A diagnostic tool based upon TPH1 and TPH2 could enable military leaders to identify soldiers who are at higher risk of developing PTSD, and reassign their combat duties accordingly," observed Goenjian. "Our findings may also help scientists uncover alternative treatments for the disorder, such as gene therapy or new drugs that regulate the chemicals responsible for PTSD symptoms."

According to Goenjian, pinpointing genes connected with PTSD symptoms will help neuroscientists classify the disorder based on brain biology instead of clinical observation. Psychiatrists currently rely on a trial and error approach to identify the best medication for controlling an individual patient’s symptoms.

Serotonin is the target of the popular antidepressants known as SSRIs, or selective serotonin re-uptake inhibitors, which prolong the effect of serotonin in the brain by slowing its absorption by brain cells. More physicians are prescribing SSRIs to treat psychiatric disease beyond depression, including PTSD and obsessive compulsive disorder.

Source: Science Daily

April 1, 2012

Rutgers scientists think they have found a way to prevent and possibly reverse the most debilitating symptoms of a rare, progressive childhood degenerative disease that leaves children with slurred speech, unable to walk, and in a wheelchair before they reach adolescence.

In today’s online edition of Nature Medicine, Karl Herrup, chair of the Department of Cell Biology and Neuroscience in the School of Arts and Sciences provides new information on why this genetic disease attacks the cerebellum – a part of the brain that controls movement coordination, equilibrium, and muscle tone – and other regions of the brain.

Using mouse and human brain tissue studies, Herrup and his colleagues at Rutgers found that in the brain tissue of young adults who died from ataxia-telangiectasia, or A-T disease, a protein known as HDAC4 was in the wrong place. HDAC4 is known to regulate bone and muscle development, but it is also found in the nerve cells of the brain. The protein that is defective in A-T, they discovered, plays a critical role in keeping HDAC4 from ending up in the nucleus of the nerve cell instead of in the cytoplasm where it belongs. In a properly working nerve cell, the HDAC4 in the cytoplasm helps to prevent nerve cell degeneration; however, in the brain tissue of young adults who had died from A-T disease, the protein was in the nucleus where it attacked the histones – the small proteins that coat and protect the DNA.

"What we have found is a double-edged sword," said Herrup. "While the HDAC4 protein protected a neuron’s function when it was in the cytoplasm, it was lethal in the nucleus."

To prove this point, Rutgers scientists analyzed mice, genetically engineered with the defective protein found in children with A-T, as well as wild mice. The animals were tested on a rotating rod to measure their motor coordination. While the normal mice were able to stay on the rod without any problems for five to six minutes, the mutant mice fell off within 15 to 20 seconds.

After being treated with trichostation A (TSA), a chemical compound that inhibits the ability of HDAC4 to modify proteins, they found that the mutant mice were able to stay on the rotating rod without falling off – almost as long as the normal mice.

Although the behavioral symptoms and brain cell loss in the engineered mice are not as severe as in humans, all of the biochemical signs of cell stress were reversed and the motor skills improved dramatically in the mice treated with TSA. This outcome proves that brain cell function could be restored, Herrup said.

"The caveat here is that we have fixed a mouse brain with less devastation and fewer problems than seen in a child with A-T disease," said Herrup. "But what this mouse data says is that we can take existing cells that are on their way to death and restore their function."

Neurological degeneration is not the only life-threatening effect associated with this genetic disease. A-T disease – which occurs in an estimated 1 in 40,000 births – causes the immune system to break down and leaves children extremely susceptible to cancers such as leukemia or lymphoma. There is no known cure and most die in their teens or early 20s. According to the AT Children’s Project, many of those who die at a young age might not have been properly diagnosed, which may, in fact, make the disease even more common.

Herrup says although this discovery does not address all of the related medical conditions associated with the disease, saving existing brain cells – even those that are close to death – and restoring life-altering neurological functions would make a tremendous improvement in the lives of these children.

"We can never replace cells that are lost," said Herrup. "But what these mouse studies indicate is that we can take the cells that remain in the brains of these children and make them work better. This could improve the quality of life for these kids by unimaginable amounts."

Additionally, Herrup says, the research might provide insight into other neurodegenerative diseases. “If this is found to be true, then the work we’ve done on this rare disease of childhood may have a much wider application in helping to treat other diseases of the nervous system, even those that affect the elderly, like Alzheimer’s,” he said.

Provided by Rutgers University 

Source: medicalxpress.com

March 30th, 2012

A new animal model of nerve injury has brought to light a critical role of an enzyme called Nmnat in nerve fiber maintenance and neuroprotection. Understanding biological pathways involved in maintaining healthy nerves and clearing away damaged ones may offer scientists targets for drugs to mitigate neurodegenerative diseases such as Huntington’s and Parkinson’s, as well as aid in situations of acute nerve damage, such as spinal cord injury.

University of Pennsylvanian biologists developed the model in the adult fruit fly, Drosophila melanogaster.

“We are using the basic power of the fly to learn about how neurons are damaged in acute injury situations,” said Nancy Bonini, senior author of the research and a professor in the Department of Biology at Penn. “Our work indicates that Nmnat may be key.”

The research was published in Current Biology. First author on the study is postdoctoral researcher Yanshan Fang, with additional contributions from postdoctoral researcher Lorena Soares and research technicians Xiuyin Teng and Melissa Geary, all of Penn’s Department of Biology.

When a nerve suffers an acute injury — as might be caused by a penetrating wound, for example, or a broken bone that damages nearby tissues — the long projection of the nerve cell, called the axon, can become injured and degenerate. The process by which it disintegrates is known as Wallerian or Wallerian-like degeneration and is an active, orderly process.

Though this function of eliminating damaged nerve cells is crucial, biologists do not have a clear understanding of all of the molecular signaling pathways that govern the process.

Bonini’s lab has previously focused on chronic neurodegenerative diseases but made this foray into acute nerve injury to determine if mechanistic overlaps exist between acute axon injury and chronic neurodegeneration. They first searched for an appropriate nerve tract to target and identified the wing of adult flies as a prime option.

The fly wing is not only translucent and a site of lengthy nerve fibers that can be easily observed, but it can also be cut to cause injury without killing the fly. That way, the researchers can follow the animal’s response to nerve injury for weeks.

Using various reagents to manipulate the fly’s genetic traits, the team confirmed that the cut wing nerve underwent Wallerian degeneration. They then tested versions of Nmnat and another protein called Wld^S, all of which had previously been shown to protect nerves from degeneration, to see if any of these might stop the process. All significantly delayed neurodegeneration. Even a form of Nmnat that hadn’t worked in other animal models suppressed degeneration, although to a lesser extent.

“That indicates that our assay is really sensitive,” Bonini said. “This sensitivity could help us identify genes that have moderate although important functionality at protecting against nerve degeneration.”

Their investigations into the wing nerve also showed that the degenerating axon “died back,” fragmenting first from the axon terminals, the side farthest from the nerve cell body—a pattern similar to what has been seen in other disorders.

Doing more genetic tinkering, the researchers showed that when the animal’s own Nmnat was depleted, the nerves fragmented in the same way as if the axon was physically cut. And when Nmnat and the other “rescue” proteins were added back to these genetically modified flies, they were able to block degeneration, highlighting that Nmnat is critical to maintaining healthy axons.

In a final set of experiments, the biologists sought to narrow where in the nerve cells Nmnat might be working. They focused on mitochondria, the powerhouses of cells. When they created a genetic line of flies that blocked mitochondria from entering the axon fibers, the nerve tract degenerated, again, in a dying-back fashion. Yet now Wld^S and Nmnat failed to prevent axon degeneration, suggesting that those proteins may act on and require the presence of axonal mitochondria to maintain healthy nerves in normal flies.

Flipping that scenario around, they looked to see what happened to the mitochondria of flies upon nerve injury. When they cut the wing nerve axons, the mitochondria rapidly disappeared. Yet they can largely preserve the mitochrondria by increasing expression of Nmnat.

Their results, taken together with the findings of other studies, suggest that Nmnat may stabilize mitochondria in some way in order to keep axons in a healthy state.

“We have some hope that these proteins or their activity may someday serve as drug targets or could provide the foundation for a therapeutic advance,” Bonini said. “But right now, my hope is that the power of the fly model will open up a lot of new directions of research and new pathways that could be targets for development in the future.”

Source: Neuroscience News