Neuroscience

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Single Neuron Observations Mark Steps in Alzheimer’s Disease

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

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Mini-sensor Measures Magnetic Activity in Human Brain

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

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Experiment shows visual cortex in women quiets when viewing porn

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

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Researchers Show How Social Interaction and Teamwork Lead to Human Intelligence

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

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Researcher Says Distinct God Spot in the Brain Does Not Exist

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

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Changing brains for the better; article documents benefits of multiple practices

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

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Brain changes may hamper decision-Making in old age

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

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Brain Scans Can Predict Weight Gain and Sexual Activity, Research Shows

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

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Parkinson’s Protein Causes Disease Spread in Animal Model

ScienceDaily (Apr. 17, 2012) — Last year, researchers from the Perelman School of Medicine at the University of Pennsylvania found that small amounts of a misfolded brain protein can be taken up by healthy neurons, replicating within them to cause neurodegeneration. The protein, alpha-synuclein (a-syn), is commonly found in the brain, but forms characteristic clumps called Lewy bodies, in neurons of patients with Parkinson’s disease (PD) and other neurodegenerative disorders. They found that abnormal forms of a-syn called fibrils acted as “seeds” that induced normal a-syn to misfold and form aggregates.

These images show the brainstem from a control animal (top) and an animal injected with pathologic alpha-synuclein. Brown spots are immunostaining using an antibody specifically recognizing an abnormal form of alpha-synuclein. (Credit: Kelvin C. Luk, Ph.D., Perelman School of Medicine, University of Pennsylvania.)

In earlier studies at other institutions, when fetal nerve cells were transplanted into the brains of PD patients, some of the transplanted cells developed Lewy bodies. This suggested that the corrupted form of a-syn could somehow be transmitted from diseased neurons to healthy ones.

Now, in a follow-up study published in the Journal of Experimental Medicine, the team, led by senior author Virginia M.-Y Lee, PhD, director of the Center for Neurodegenerative Disease Research and professor of Pathology and Laboratory Medicine, showed that brain tissue from a PD mouse model, as well as synthetically produced a-syn fibrils, injected into young, symptom-free PD mice led to spreading of a-syn pathology. By three months after a single injection, neurons containing abnormal a-syn clumps were detected throughout the mouse brains. The inoculated mice died between 100 to 125 days post-inoculation, out of their typical two-year life span.

"We think the spreading is via white-matter tracks through brain neural network connections," explains Lee. "This study will open new opportunities for novel Parkinson’s disease therapies."

One of the remaining questions is how, once inside a neuron, does the misfolded a-syn protein spread from cell to cell.

"It’s like a biochemical chain reaction," says first author Kelvin C. Luk, Ph.D., research associate, in the CNDR. Once inside the confines of a neuron, the misfolded a-syn recruits normally shaped a-syn protein that is present in the cell, causing them to eventually misfold. This occurs along the axons and dendrites (neuronal extensions that reach other neurons), leading to a dramatic accumulation of the abnormal protein. The misshapen a-syn then invades other neurons when they reach the synapse, the small space between neurons.

This transmission process is remarkably similar to what is seen in prions, the protein agents responsible for conditions such as transmissible spongiform encephalopathies ( mad cow disease). However, the researchers are quick to caution that there is no evidence that Parkinson’s or any related neurodegenerative diseases is either infectious or acquired.

The accumulation of misfolded proteins is a fundamental pathogenic process in neurodegenerative diseases, but the factors that trigger aggregation of a-syn are poorly understood.

The Penn team saw that misfolded a-syn propagated along major central nervous system pathways, reaching regions far beyond injection sites. What’s more, they showed for the first time that synthetically produced a-syn fibrils are sufficient to initiate a vicious cycle of Lewy body formation and transmission of the misfolded a-syn in mice.

The study demonstrates just how the Parkinson’s disease protein can spread in a patient’s brain in terms of uptake into a healthy neuron, expansion within the cell, and finally release to a neighboring neuron.

"Knowing this mechanism allows for possible immunotherapies to interrupt the chain reaction by stopping the mutant protein from spreading at the synapse," says Lee.

"Shedding light on how a-synuclein contributes to Parkinson’s disease and related Lewy body disorders is of significant interest both for understanding these diseases and developing potential treatments," said Beth-Anne Sieber, Ph.D., of the National Institute of Neurological Disorders and Stroke (NINDS), part of the National Institutes of Health. "This study provides evidence for the progressive, pathological spread of a-synuclein through the brain."

Source: Science Daily

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Researchers at the University of Cambridge have developed a simple mathematical model of the brain which provides a remarkably complete statistical account of the complex web of connections between various brain regions.  Their findings have been published this week in the journal Proceedings of the National Academy of Sciences (PNAS).

Source: medicalxpress.com

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