Neuroscience

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Posts tagged schizophrenia

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“Noisy” Memory in Schizophrenia

The inability to ignore irrelevant stimuli underlies the impaired working memory and cognition often experienced by individuals diagnosed with schizophrenia, reports a new study in the current issue of Biological Psychiatry.

Our brains are usually good at focusing on the information that we are trying to learn and filtering out the “noise” or thoughts that aren’t relevant. However, memory impairment in schizophrenia may be related in part to a problem with this filtering process, which Dr. Teal Eich at Columbia University and her colleagues studied.

“Our assumption was that understanding the impairments in the component processes of working memory – the ability to hold and manipulate information in the mind – among patients with schizophrenia could be fundamental to understanding not only cognitive function in the disorder, which is widespread and has debilitating consequences, but also the disorder itself,” Eich explained.

The researchers recruited patients with schizophrenia and a control group of healthy volunteers to complete an item recognition task in the laboratory while undergoing a functional magnetic resonance imaging scan. In particular, they focused on analyzing potential activation differences in the ventro-lateral prefrontal cortex (VLPFC), a region of the brain implicated in working memory.

The design of the task allowed for the assessment of the various components of working memory: 1) maintaining the memory itself, 2) inhibiting or ignoring irrelevant information, and 3) during memory retrieval, controlling the interference of irrelevant information.

While simply maintaining the memory, both groups showed a similar degree of activation in the VLPFC. During the inhibition phase, VLPFC activity is expected to decrease, which was indeed observed in the healthy group, but not in the patients. Finally, during interference control, patients performed worse and showed increased VLPFC activation compared to the healthy volunteers. Overall, the patients showed altered VLPFC functioning and significant impairments in their ability to control working memory.

“Our findings show that these patients have a specific deficit in inhibiting information in working memory, leading to impaired distinctions between relevant and irrelevant thoughts,” said Eich. “This result may provide valuable insights into the potential brain mechanisms underlying the reasons why these affected individuals are unable to control or put out of mind certain thoughts or ideas.”

This study adds to a growing literature suggesting that cognitive functions require both the activation of one set of regions and the inhibition of others. The failure to suppress activation may be just as disruptive to cortical functions as deficits in cortical activation.

Many years ago, the pioneering scientist Patricia Goldman-Rakic and her colleagues showed that the inhibition of regional prefrontal cortical activity was dependent upon the integrity of the GABA (gamma-aminobutyric acid) system in the brain, a chemical system with abnormalities associated with schizophrenia.

“We need to determine whether the cortical inhibitory deficits described in this study can be attributed to particular brain chemical signaling abnormalities,” said Dr. John Krystal, Editor of Biological Psychiatry. “If so, this type of study could be used to guide therapeutic strategies to enhance working memory function.”

(Source: elsevier.com)

Filed under schizophrenia working memory prefrontal cortex neuroimaging cognitive function neuroscience science

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Working to Loosen the Grip of Severe Mental Illness

A neuroscientist at Rutgers University-Newark says the human brain operates much the same whether active or at rest – a finding that could provide a better understanding of schizophrenia, bipolar disorder and other serious mental health conditions that afflict an estimated 13.6 million Americans.

In newly published research in the journal Neuron, Michael Cole, an assistant professor at the Center for Molecular and Behavioral Neuroscience, determined that the underlying brain architecture of a person at rest is basically the same as that of a person performing a variety of tasks.

This is important to the study of mental illness because it is easier to analyze a brain at rest, says Cole, who made the discovery using functional magnetic resonance imaging (fMRI). 

“We can now observe people relaxing in the scanner and be confident that what we see is there all the time,” says Cole, who initially feared his team might find that the brain reorganizes itself for every task. “If that had been the case, we would have had less hope that we could understand mental illness in our lifetime.”

Instead, Cole says, scientists can now make their search for causes of mental illness more focused – and he suggests at least one target of opportunity. The prefrontal cortex is a portion of the brain involved in high level thinking, as well as remembering what a person’s goal is and the task being performed.

Cole says it would be useful to explore whether connectivity between the prefrontal cortex and other areas of the brain is altered – while the brain is at rest – in people with severe mental illness. “And then we can finally say something fundamental,” he predicts, “about what’s different about the brain’s functional network in schizophrenia and other conditions.”

Those differences, in turn, could explain certain symptoms. For instance, what if a patient has visual hallucinations because poor connectivity between the prefrontal cortex and the portion of the brain that governs sight causes the hallucinations to override what the eyes actually see? Cole suggests that’s just one of the questions that analysis of the brain at rest might help to answer. Others include a person’s debilitating beliefs, such as overly negative self-assessment when depressed.

Opportunities to find better ways to improve patients’ lives might then follow. Cole notes that current medications for severe mental illness, when they help at all, typically do not relieve cognitive symptoms. It is possible the drugs will reduce hallucinations or depressing thoughts, but patients continue to have difficulty concentrating on the task at hand, and often find it hard to find or hold a job. Cole says that even solving that one issue would be a major step forward – and he hopes his new work has helped advance science toward achieving this goal.

(Source: news.rutgers.edu)

Filed under mental illness neuroimaging prefrontal cortex schizophrenia neuroscience science

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Sleep deprivation leads to symptoms of schizophrenia
Psychologists at the University of Bonn are amazed by the severe deficits caused by a sleepless night
Twenty-four hours of sleep deprivation can lead to conditions in healthy persons similar to the symptoms of schizophrenia. This discovery was made by an international team of researchers under the guidance of the University of Bonn and King’s College London. The scientists point out that this effect should be investigated more closely in persons who have to work at night. In addition, sleep deprivation may serve as a model system for the development of drugs to treat psychosis. The results have now been published in “The Journal of Neuroscience”.
In psychosis, there is a loss of contact with reality and this is associated with hallucinations and delusions. The chronic form is referred to as schizophrenia, which likewise involves thought disorders and misperceptions. Affected persons report that they hear voices, for example. Psychoses rank among the most severe mental illnesses. An international team of researchers under the guidance of the University of Bonn has now found out that after 24 hours of sleep deprivation in healthy patients, numerous symptoms were noted which are otherwise typically attributed to psychosis or schizophrenia. “It was clear to us that a sleepless night leads to impairment in the ability to concentrate,” says Prof. Dr. Ulrich Ettinger of the Cognitive Psychology Unit in the Department of Psychology at the University of Bonn. “But we were surprised at how pronounced and how wide the spectrum of schizophrenia-like symptoms was.”
The scientists from the University of Bonn, King’s College London (England) as well as the Department of Psychiatry and Psychotherapy of the University of Bonn Hospital examined a total of 24 healthy subjects of both genders aged 18 to 40 in the sleep laboratory of the Department of Psychology. In an initial run, the test subjects were to sleep normally in the laboratory. About one week later, they were kept awake all night with movies, conversation, games and brief walks. On the following morning, subjects were each asked about their thoughts and feelings. In addition, subjects underwent a measurement known as prepulse inhibition.
Unselected information leads to chaos in the brain
"Prepulse inhibition is a standard test to measure the filtering function of the brain,” explains lead author Dr. Nadine Petrovsky from Prof. Ettinger’s team. In the experiment, a loud noise is heard via headphones. As a result, the test subjects experience a startle response, which is recorded with electrodes through the contraction of facial muscles. If a weaker stimulus is emitted beforehand as a “prepulse”, the startle response is lower. “The prepulse inhibition demonstrates an important function of the brain: Filters separate what is important from what is not important and prevent sensory overload,” says Dr. Petrovsky.
In our subjects, this filtering function of the brain was significantly reduced following a sleepless night. “There were pronounced attention deficits, such as what typically occurs in the case of schizophrenia,” reports Prof. Ettinger. “The unselected flood of information led to chaos in the brain.” Following sleep deprivation, the subjects also indicated in questionnaires that they were somewhat more sensitive to light, color or brightness. Accordingly, their sense of time and sense of smell were altered and mental leaps were reported. Many of those who spent the night even had the impression of being able to read thoughts or notice altered body perception. “We did not expect that the symptoms could be so pronounced after one night spent awake,” says the psychologist from the University of Bonn.
Sleep deprivation as a model system for mental illnesses
The scientists see an important potential application for their results in research for drugs to treat psychoses. “In drug development, mental disorders like these have been simulated to date in experiments using certain active substances. However, these convey the symptoms of psychoses in only a very limited manner,” says Prof. Ettinger. Sleep deprivation may be a much better model system because the subjective symptoms and the objectively measured filter disorder are far more akin to mental illnesses. Of course, the sleep deprivation model is not harmful: After a good night’s recovery sleep, the symptoms disappear. There is also a need for research with regard to persons who regularly have to work at night. “Whether the symptoms of sleep deprivation gradually become weaker due to acclimatization has yet to be investigated,” says the psychologist from the University of Bonn.
(Image: Getty)

Sleep deprivation leads to symptoms of schizophrenia

Psychologists at the University of Bonn are amazed by the severe deficits caused by a sleepless night

Twenty-four hours of sleep deprivation can lead to conditions in healthy persons similar to the symptoms of schizophrenia. This discovery was made by an international team of researchers under the guidance of the University of Bonn and King’s College London. The scientists point out that this effect should be investigated more closely in persons who have to work at night. In addition, sleep deprivation may serve as a model system for the development of drugs to treat psychosis. The results have now been published in “The Journal of Neuroscience”.

In psychosis, there is a loss of contact with reality and this is associated with hallucinations and delusions. The chronic form is referred to as schizophrenia, which likewise involves thought disorders and misperceptions. Affected persons report that they hear voices, for example. Psychoses rank among the most severe mental illnesses. An international team of researchers under the guidance of the University of Bonn has now found out that after 24 hours of sleep deprivation in healthy patients, numerous symptoms were noted which are otherwise typically attributed to psychosis or schizophrenia. “It was clear to us that a sleepless night leads to impairment in the ability to concentrate,” says Prof. Dr. Ulrich Ettinger of the Cognitive Psychology Unit in the Department of Psychology at the University of Bonn. “But we were surprised at how pronounced and how wide the spectrum of schizophrenia-like symptoms was.”

The scientists from the University of Bonn, King’s College London (England) as well as the Department of Psychiatry and Psychotherapy of the University of Bonn Hospital examined a total of 24 healthy subjects of both genders aged 18 to 40 in the sleep laboratory of the Department of Psychology. In an initial run, the test subjects were to sleep normally in the laboratory. About one week later, they were kept awake all night with movies, conversation, games and brief walks. On the following morning, subjects were each asked about their thoughts and feelings. In addition, subjects underwent a measurement known as prepulse inhibition.

Unselected information leads to chaos in the brain

"Prepulse inhibition is a standard test to measure the filtering function of the brain,” explains lead author Dr. Nadine Petrovsky from Prof. Ettinger’s team. In the experiment, a loud noise is heard via headphones. As a result, the test subjects experience a startle response, which is recorded with electrodes through the contraction of facial muscles. If a weaker stimulus is emitted beforehand as a “prepulse”, the startle response is lower. “The prepulse inhibition demonstrates an important function of the brain: Filters separate what is important from what is not important and prevent sensory overload,” says Dr. Petrovsky.

In our subjects, this filtering function of the brain was significantly reduced following a sleepless night. “There were pronounced attention deficits, such as what typically occurs in the case of schizophrenia,” reports Prof. Ettinger. “The unselected flood of information led to chaos in the brain.” Following sleep deprivation, the subjects also indicated in questionnaires that they were somewhat more sensitive to light, color or brightness. Accordingly, their sense of time and sense of smell were altered and mental leaps were reported. Many of those who spent the night even had the impression of being able to read thoughts or notice altered body perception. “We did not expect that the symptoms could be so pronounced after one night spent awake,” says the psychologist from the University of Bonn.

Sleep deprivation as a model system for mental illnesses

The scientists see an important potential application for their results in research for drugs to treat psychoses. “In drug development, mental disorders like these have been simulated to date in experiments using certain active substances. However, these convey the symptoms of psychoses in only a very limited manner,” says Prof. Ettinger. Sleep deprivation may be a much better model system because the subjective symptoms and the objectively measured filter disorder are far more akin to mental illnesses. Of course, the sleep deprivation model is not harmful: After a good night’s recovery sleep, the symptoms disappear. There is also a need for research with regard to persons who regularly have to work at night. “Whether the symptoms of sleep deprivation gradually become weaker due to acclimatization has yet to be investigated,” says the psychologist from the University of Bonn.

(Image: Getty)

Filed under sleep deprivation schizophrenia mental illness psychosis prepulse inhibition neuroscience science

125 notes

Schizophrenia-Associated Gene Variation Affects Brain Cell Development

Johns Hopkins researchers have begun to connect the dots between a schizophrenia-linked genetic variation and its effect on the developing brain. As they report July 3 in the journal Cell Stem Cell, their experiments show that the loss of a particular gene alters the skeletons of developing brain cells, which in turn disrupts the orderly layers those cells would normally form.

image

(Image caption: Left, human neural stem cells form rosettes as they grow into different cell types, with ringlike patterns of PKCλ protein in the center. A neural rosette with a 15q11.2 microdeletion, a risk factor for schizophrenia, appears disorganized and lacks the ringlike PKCλ protein structure, right, suggesting that this risk factor acts early in the neurodevelopmental process. Credit: Ki-Jun Yoon/Johns Hopkins Medicine)

“This is an important step toward understanding what physically happens in the developing brain that puts people at risk of schizophrenia,” says Guo-li Ming, M.D., Ph.D., a professor of neurology and neuroscience in the Johns Hopkins University School of Medicine’s Institute for Cell Engineering.

While no single genetic mutation is known to cause schizophrenia, so-called genome wide association studies have identified variations that are more common in people with the condition than in the general population. One of these is a missing piece from an area of the genome labeled 15q11.2. “While the deletion is linked to schizophrenia, having extra copies of this part of the genome raises the risk of autism,” notes Ming.

For the new study, Ming’s research group, along with that of her husband and collaborator, neurology and neuroscience professor Hongjun Song, Ph.D., used skin cells from people with schizophrenia who were missing part of 15q11.2 on one of their chromosomes. (Because everyone carries two copies of their genome, the patients each had an intact copy of 15q11.2 as well.)

The researchers grew the human skin cells in a dish and coaxed them to become induced pluripotent stem cells, and then to form neural progenitor cells, a kind of stem cell found in the developing brain.

“Normally, neural progenitors will form orderly rings when grown in a dish, but those with the deletion didn’t,” Ming says. To find out which of the four known genes in the missing piece of the genome were responsible for the change, the researchers engineered groups of progenitors that each produced less protein than normal from one of the suspect genes. The crucial ingredient in ring formation turned out to be a gene called CYFIP1.

The team then altered the genomes of neural progenitors in mouse embryos so that they made less of the protein created by CYFIP1. The brain cells of the fetal mice turned out to have similar defects in structure to those in the dish-grown human cells. The reason, the team found, is that CYFIP1 plays a role in building the skeleton that gives shape to each cell, and its loss affects spots called adherens junctions where the skeletons of two neighboring cells connect.

Having less CYFIP1 protein also caused some neurons in the developing mice to end up in the wrong layer within the brain. “During development, new neurons get in place by ‘climbing’ the tendrils of neural progenitor cells,” Ming says. “We think that disrupted adherens junctions don’t provide a stable enough anchor for neural progenitors, so the ‘rope’ they form doesn’t quite get new neurons to the right place.”

The researchers say they also found that CYFIP1 is part of a complex of proteins called WAVE, which is key to building the cellular skeleton.

Many people with a CYFIP1 deletion do not get schizophrenia, so the team suspected the condition was more likely to arise in people with a second defect in the WAVE complex.

Analyzing data from genomewide association studies, they found a variation in the WAVE complex signaling gene ACTR2/Arp2 that, combined with the CYFIP1 deletion, increased the risk of schizophrenia more than either genetic change by itself.

In adding to science’s understanding of schizophrenia, the study also shows how other mental illnesses might be similarly investigated, the researchers say. “Using induced pluripotent stem cells from people with schizophrenia allowed us to see how their genes affected brain development,” says Song. “Next, we’d like to investigate what effects remain in the mature brain.”

(Source: hopkinsmedicine.org)

Filed under brain cells 15q11.2 schizophrenia CYFIP1 pluripotent stem cells neuroscience science

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Schizophrenia and cannabis use may share common genes

Genes that increase the risk of developing schizophrenia may also increase the likelihood of using cannabis, according to a new study led by King’s College London, published today in Molecular Psychiatry

Previous studies have identified a link between cannabis use and schizophrenia, but it has remained unclear whether this association is due to cannabis directly increasing the risk of the disorder.

image

The new results suggest that part of this association is due to common genes, but do not rule out a causal relationship between cannabis use and schizophrenia risk. 

The study is a collaboration between King’s and the Queensland Institute of Medical Research in Australia, partly funded by the UK Medical Research Council (MRC). 

Mr Robert Power, lead author from the MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre at the Institute of Psychiatry at King’s, says: “Studies have consistently shown a link between cannabis use and schizophrenia. We wanted to explore whether this is because of a direct cause and effect, or whether there may be shared genes which predispose individuals to both cannabis use and schizophrenia.”

Cannabis is the most widely used illicit drug in the world, and its use is higher amongst people with schizophrenia than in the general population. Schizophrenia affects approximately 1 in 100 people and people who use cannabis are about twice as likely to develop the disorder. The most common symptoms of schizophrenia are delusions (false beliefs) and auditory hallucinations (hearing voices). Whilst the exact cause is unknown, a combination of physical, genetic, psychological and environmental factors can make people more likely to develop the disorder.

Previous studies have identified a number of genetic risk variants associated with schizophrenia, each of these slightly increasing an individual’s risk of developing the disorder.  

The new study included 2,082 healthy individuals of whom 1,011 had used cannabis. Each individual’s ‘genetic risk profile’ was measured – that is, the number of genes related to schizophrenia each individual carried. 

The researchers found that people genetically pre-disposed to schizophrenia were more likely to use cannabis, and use it in greater quantities than those who did not possess schizophrenia risk genes.

Power says: “We know that cannabis increases the risk of schizophrenia. Our study certainly does not rule this out, but it suggests that there is likely to be an association in the other direction as well – that a pre-disposition to schizophrenia also increases your likelihood of cannabis use.”

“Our study highlights the complex interactions between genes and environments when we talk about cannabis as a risk factor for schizophrenia. Certain environmental risks, such as cannabis use, may be more likely given an individual’s innate behaviour and personality, itself influenced by their genetic make-up. This is an important finding to consider when calculating the economic and health impact of cannabis.”

(Source: kcl.ac.uk)

Filed under schizophrenia cannabis genes genetics neuroscience science

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Scientists tie social behavior to activity in specific brain circuit

A team of Stanford University investigators has linked a particular brain circuit to mammals’ tendency to interact socially. Stimulating this circuit — one among millions in the brain — instantly increases a mouse’s appetite for getting to know a strange mouse, while inhibiting it shuts down its drive to socialize with the stranger.

image

The new findings, published June 19 in Cell, may throw light on psychiatric disorders marked by impaired social interaction such as autism, social anxiety, schizophrenia and depression, said the study’s senior author, Karl Deisseroth, MD, PhD, a professor of bioengineering and of psychiatry and behavioral sciences. The findings are also significant in that they highlight not merely the role of one or another brain chemical, as pharmacological studies tend to do, but rather the specific components of brain circuits involved in a complex behavior. A combination of cutting-edge techniques developed in Deisseroth’s laboratory permitted unprecedented analysis of how brain activity controls behavior.

Deisseroth, the D.H. Chen Professor and a member of the interdisciplinary Stanford Bio-X institute, is a practicing psychiatrist who sees patients with severe social deficits. “People with autism, for example, often have an outright aversion to social interaction,” he said. They can find socializing — even mere eye contact — painful.

Deisseroth pioneered a brain-exploration technique, optogenetics, that involves selectively introducing light-receptor molecules to the surfaces of particular nerve cells in a living animal’s brain and then carefully positioning, near the circuit in question, the tip of a lengthy, ultra-thin optical fiber (connected to a laser diode at the other end) so that the photosensitive cells and the circuits they compose can be remotely stimulated or inhibited at the turn of a light switch while the animal remains free to move around in its cage.

Monitoring activity in real time

Using optogenetics and other methods he and his associates have invented, Deisseroth and his associates were able to both manipulate and monitor activity in specific nerve-cell clusters, and the fiber tracts connecting them, in mice’s brains in real time while the animals were exposed to either murine newcomers or inanimate objects in various laboratory environments. The mice’s behavioral responses were captured by video and compared with simultaneously recorded brain-circuit activity.

In some cases, the researchers observed activity in various brain centers and nerve-fiber tracts connecting them as the mice variously examined or ignored one another. Other experiments involved stimulating or inhibiting impulses within those circuits to see how these manipulations affected the mice’s social behavior.

To avoid confusing simple social interactions with mating- and aggression-related behaviors, the researchers restricted their experiments to female mouse pairs.

The scientists first examined the relationship between the mice’s social interactions and a region in the brain stem called the ventral tegmental area. The VTA is a key node in the brain’s reward circuitry, which produces sensations of pleasure in response to success in such survival-improving activities as eating, mating or finding a warm shelter in a cold environment.

The VTA transmits signals to other centers throughout the brain via tracts of fibers that secrete chemicals, including one called dopamine, at contact points abutting nerve cells within these faraway centers. When dopamine lands on receptors on those nerve cells, it can set off signaling activity within them.

Abnormal activity in the VTA has been linked to drug abuse and depression, for example. But much less is known about this brain center’s role in social behavior, and it had not previously been possible to observe or control activity along its connections during social behavior.

Deisseroth and his colleagues used mice whose dopamine-secreting, or dopaminergic, VTA nerve cells had been bioengineered to express optogenetic control proteins that could set off or inhibit signaling in the cells in response to light. They observed that enhancing activity in these cells increased a mouse’s penchant for social interaction. When a newcomer was introduced into its cage, it came, it saw, it sniffed. Inhibiting the dopaminergic VTA cells had the opposite effect: The host lost much of its interest in the guest.

Only social interaction affected

On the other hand, such manipulations of the VTA’s dopaminergic cells had no effect on the mice’s penchant for exploring novel objects (a golf ball, for example) placed in their cages. Nor did it change their overall propensity to move around. The effect appeared to be specific for social interaction.

Finding out exactly which dopaminergic projections from the VTA, traveling to which remote brain structures, were carrying the signals that generate exploratory social behavior required designing a new monitoring methodology. The signals traveling along such projections are extremely weak and confounded by background noise, especially when located deep within the brains of ambulatory animals. Deisseroth’s group overcame this by developing a highly sensitive technology capable of plucking these tiny signals out of the surrounding noise. The new technique, called fiber photometry, is a sophisticated way of measuring calcium flux, which invariably accompanies signaling activity along the fibers projecting from nerve cells.

Using a combination of optogenetics and fiber photometry, the investigators were able to demonstrate that a particular tract projecting from the VTA to a mid-brain structure called the nucleus accumbens (also strongly implicated in the reward system) was the relevant conduit carrying the impetus to social interaction in the mice.

A third technological trick helped determine which recipient nerve cells within the nucleus accumbens were involved in the social-behavior circuitry. That structure’s two types of dopamine-responsive cells are differentiated by the types of dopamine receptors, referred to as D1 and D2, on their surfaces. The team performed experiments in animals bioengineered so that the normally D1-containing cells instead expressed a modified, light-inducible version of that receptor. These experiments, along with complementary experiments blocking the D1 receptors with specific drug antagonists, showed that the D1 nucleus-accumbens nerve cells were mediating the changes in social behavior. Tripping off those receptors, either by optogenetically inducing incoming tracts to deliver dopamine to these receptors, or by directly stimulating light-activated forms of these receptors on the target cells, enhanced mice’s social exploration.

Helping to see how social behavior can go wrong

“Every behavior presumably arises from a pattern of activity in the brain, and every behavioral malfunction arises from malfunctioning circuitry,” said Deisseroth, who is also co-director of Stanford’s Cracking the Neural Code Program. “The ability, for the first time, to pinpoint a particular nerve-cell projection involved in the social behavior of a living, moving animal will greatly enhance our ability to understand how social behavior operates, and how it can go wrong.”

(Source: med.stanford.edu)

Filed under social interaction brain activity autism schizophrenia optogenetics fiber photometry neuroscience science

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Children at risk for mental disorders experience communication breakdown in brain networks supporting attention
Attention deficits are central to psychiatric disorders such as schizophrenia or bipolar disorder, and are thought to precede the presentation of the illnesses. A new study led by Wayne State University School of Medicine researcher Vaibhav Diwadkar, Ph.D. suggests that the brain network interactions between regions that support attention are dysfunctional in children and adolescents at genetic risk for developing schizophrenia and bipolar disorder.
“The brain network mechanisms that mediate these deficits are poorly understood, and have rarely been tackled using complex image analytic methods that focus on how brain regions communicate,” said Dr. Diwadkar, associate professor of psychiatry and behavioral neurosciences and co-director of the department’s Brain Imaging Research Division
The desire to understand dysfunctional brain mechanisms motivated Dr. Diwadkar and his team of colleagues and WSU medical students in the study titled, “Dysfunction and dysconnection in cortical-striatal networks during sustained attention: genetic risk for schizophrenia or bipolar disorder and its impact on brain network function,” featured in the May issue of Frontiers in Psychiatry.
The study is clinically significant because the estimated lifetime incidence of schizophrenia or bipolar disorder in the groups studied is approximately 10-20 times what is generally observed. “We believe that genetic risk may confer vulnerability for dysfunctional brain network communication. This abnormal network communication in turn might amplify risk for psychiatric illnesses. By identifying markers of network dysfunction we believe we can elucidate these mechanisms of risk. This knowledge may in turn increase focus on possible premeditative intervention strategies,” Dr. Diwadkar said.
The researchers identified dysfunctional brain mechanisms of sustained attention using functional Magnetic Resonance Imaging data and complex modeling of fMRI signals. Data were collected in 46 children and adolescents ages 8 to 20, half at genetic risk for schizophrenia or bipolar disorder by virtue of having one or both parents with either illness. During the 20-minute fMRI, participants completed a sustained attention task, adapted to engage specific brain regions.
The researchers induced variations in the degree of demand on these brain regions – a method of assessing how genetic risk might impair the brain’s ability to respond to attention challenges –by varying task difficulty. Increased attention demand led to increased engagement in the typical control group. The genetically at-risk group did not respond the same. Instead, interactions between the dorsal anterior cingulate, a principal control region in the brain, and the basal ganglia were highly dysfunctional in that group, suggesting impaired communication between specific brain networks.
The study indicates that brain networks supporting basic psychological functions such as attention do not communicate appropriately in young individuals at genetic risk for illnesses such as schizophrenia or bipolar disorder.
“Genetics and neurodevelopment are inextricably linked. How psychiatric illnesses emerge from their combination is a central question in medicine. Analytic tools developed in the last few years offer the promise of answers at the level of how these processes impact brain network communication,” Dr. Diwadkar said.

Children at risk for mental disorders experience communication breakdown in brain networks supporting attention

Attention deficits are central to psychiatric disorders such as schizophrenia or bipolar disorder, and are thought to precede the presentation of the illnesses. A new study led by Wayne State University School of Medicine researcher Vaibhav Diwadkar, Ph.D. suggests that the brain network interactions between regions that support attention are dysfunctional in children and adolescents at genetic risk for developing schizophrenia and bipolar disorder.

“The brain network mechanisms that mediate these deficits are poorly understood, and have rarely been tackled using complex image analytic methods that focus on how brain regions communicate,” said Dr. Diwadkar, associate professor of psychiatry and behavioral neurosciences and co-director of the department’s Brain Imaging Research Division

The desire to understand dysfunctional brain mechanisms motivated Dr. Diwadkar and his team of colleagues and WSU medical students in the study titled, “Dysfunction and dysconnection in cortical-striatal networks during sustained attention: genetic risk for schizophrenia or bipolar disorder and its impact on brain network function,” featured in the May issue of Frontiers in Psychiatry.

The study is clinically significant because the estimated lifetime incidence of schizophrenia or bipolar disorder in the groups studied is approximately 10-20 times what is generally observed. “We believe that genetic risk may confer vulnerability for dysfunctional brain network communication. This abnormal network communication in turn might amplify risk for psychiatric illnesses. By identifying markers of network dysfunction we believe we can elucidate these mechanisms of risk. This knowledge may in turn increase focus on possible premeditative intervention strategies,” Dr. Diwadkar said.

The researchers identified dysfunctional brain mechanisms of sustained attention using functional Magnetic Resonance Imaging data and complex modeling of fMRI signals. Data were collected in 46 children and adolescents ages 8 to 20, half at genetic risk for schizophrenia or bipolar disorder by virtue of having one or both parents with either illness. During the 20-minute fMRI, participants completed a sustained attention task, adapted to engage specific brain regions.

The researchers induced variations in the degree of demand on these brain regions – a method of assessing how genetic risk might impair the brain’s ability to respond to attention challenges –by varying task difficulty. Increased attention demand led to increased engagement in the typical control group. The genetically at-risk group did not respond the same. Instead, interactions between the dorsal anterior cingulate, a principal control region in the brain, and the basal ganglia were highly dysfunctional in that group, suggesting impaired communication between specific brain networks.

The study indicates that brain networks supporting basic psychological functions such as attention do not communicate appropriately in young individuals at genetic risk for illnesses such as schizophrenia or bipolar disorder.

“Genetics and neurodevelopment are inextricably linked. How psychiatric illnesses emerge from their combination is a central question in medicine. Analytic tools developed in the last few years offer the promise of answers at the level of how these processes impact brain network communication,” Dr. Diwadkar said.

Filed under attention mental illness schizophrenia bipolar disorder neuroscience science

262 notes

New Evidence Links Air Pollution to Autism, Schizophrenia

New research from the University of Rochester Medical Center describes how exposure to air pollution early in life produces harmful changes in the brains of mice, including an enlargement of part of the brain that is seen in humans who have autism and schizophrenia.  

As in autism and schizophrenia, the changes occurred predominately in males. The mice also performed poorly in tests of short-term memory, learning ability, and impulsivity.

The new findings are consistent with several recent studies that have shown a link between air pollution and autism in children. Most notably, a 2013 study in JAMA Psychiatry reported that children who lived in areas with high levels of traffic-related air pollution during their first year of life were three times as likely to develop autism.

“Our findings add to the growing body of evidence that air pollution may play a role in autism, as well as in other neurodevelopmental disorders,” said Deborah Cory-Slechta, Ph.D., professor of Environmental Medicine at the University of Rochester and lead author of the study, published in the journal Environmental Health Perspectives.

In three sets of experiments, Cory-Slechta and her colleagues exposed mice to levels of air pollution typically found in mid-sized U.S. cities during rush hour. The exposures were conducted during the first two weeks after birth, a critical time in the brain’s development. The mice were exposed to polluted air for four hours each day for two four-day periods.

In one group of mice, the brains were examined 24 hours after the final pollution exposure. In all of those mice, inflammation was rampant throughout the brain, and the lateral ventricles — chambers on each side of the brain that contain cerebrospinal fluid — were enlarged two-to-three times their normal size.

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“When we looked closely at the ventricles, we could see that the white matter that normally surrounds them hadn’t fully developed,” said Cory-Slechta. “It appears that inflammation had damaged those brain cells and prevented that region of the brain from developing, and the ventricles simply expanded to fill the space.”

The problems were also observed in a second group of mice 40 days after exposure and in another group 270 days after exposure, indicating that the damage to the brain was permanent. Brains of mice in all three groups also had elevated levels of glutamate, a neurotransmitter, which is also seen in humans with autism and schizophrenia.

Most air pollution is made up mainly of carbon particles that are produced when fuel is burned by power plants, factories, and cars. For decades, research on the health effects of air pollution has focused on the part of the body where the damage is most obvious — the lungs. That research began to show that different-sized particles produce different effects.  Larger particles — the ones regulated by the Environmental Protection Agency (EPA) — are actually the least harmful because they are coughed up and expelled.  But many researchers believe that smaller particles known as ultrafine particles —  which are not regulated by the EPA — are more dangerous, because they are small enough to travel deep into the lungs and be absorbed into the bloodstream, where they can produce toxic effects throughout the body.

That assumption led Cory-Slechta to design a set of experiments that would show whether ultrafine particles have a damaging effect on the brain, and if so, to reveal the mechanism by which they inflict harm. Her study published today is the first scientific work to do both.

“I think these findings are going to raise new questions about whether the current regulatory standards for air quality are sufficient to protect our children,” said Cory-Slechta.

(Source: urmc.rochester.edu)

Filed under schizophrenia autism air pollution health science

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Biologists pave the way for improved epilepsy treatments

University of Toronto biologists leading an investigation into the cells that regulate proper brain function, have identified and located the key players whose actions contribute to afflictions such as epilepsy and schizophrenia. The discovery is a major step toward developing improved treatments for these and other neurological disorders.

“Neurons in the brain communicate with other neurons through synapses, communication that can either excite or inhibit other neurons,” said Professor Melanie Woodin in the Department of Cell and Systems Biology at the University of Toronto (U of T), lead investigator of a study published today in Cell Reports. “An imbalance among the levels of excitation and inhibition – a tip towards excitation, for example – causes improper brain function and can produce seizures. We identified a key complex of proteins that can regulate excitation-inhibition balance at the cellular level.”

This complex brings together three key proteins – KCC2, Neto2 and GluK2 – required for inhibitory and excitatory synaptic communication. KCC2 is required for inhibitory impulses, GluK2 is a receptor for the main excitatory transmitter glutamate, and Neto2 is an auxiliary protein that interacts with both KCC2 and GluK2. The discovery of the complex of three proteins is pathbreaking as it was previously believed that KCC2 and GluK2 were in separate compartments of the cell and acted independently of each other.

“Finding that they are all directly interacting and can co-regulate each other’s function reveals for the first time a system that can mediate excitation-inhibition balance among neurons themselves,” said Vivek Mahadevan, a PhD candidate in Woodin’s group and lead author of the study.

Mahadevan and fellow researchers made the discovery via biochemistry, fluorescence imaging and electrophysiology experiments on mice brains. The most fruitful technique was the application of an advanced sensitive gel system to determine native protein complexes in neurons, called Blue Native PAGE. The process provided the biochemical conditions necessary to preserve the protein complexes that normally exist in neurons. Blue Native PAGE is advantageous over standard gel electrophoresis, where proteins are separated from their normal protein complexes based on their molecular weights.

“The results reveal the proteins that can be targeted by drug manufacturers in order to reset imbalances that occur in neurological disorders such as epilepsy, autism spectrum disorder, schizophrenia and neuropathic pain,” said Woodin. “There is no cure for epilepsy; the best available treatments only control its effects, such as convulsions and seizures. We can now imagine preventing them from occurring in the first place.”

“It was the cellular mechanisms that determine the excitation-inhibition balance that needed to be identified. Now that we know the key role played by KCC2 in moderating excitatory activity, further research can be done into its occasional dysfunction and how it can also be regulated by excitatory impulses,” said Mahadevan.

(Source: media.utoronto.ca)

Filed under epilepsy hippocampal neurons schizophrenia neurons neuroscience science

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Brain circuit problem likely sets stage for the “voices” that are symptom of schizophrenia

St. Jude Children’s Research Hospital scientists have identified problems in a connection between brain structures that may predispose individuals to hearing the “voices” that are a common symptom of schizophrenia. The work appears in the June 6 issue of the journal Science.

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(Image: Getty Images)

Researchers linked the problem to a gene deletion. This leads to changes in brain chemistry that reduce the flow of information between two brain structures involved in processing auditory information.

The research marks the first time that a specific circuit in the brain has been linked to the auditory hallucinations, delusions and other psychotic symptoms of schizophrenia. The disease is a chronic, devastating brain disorder that affects about 1 percent of Americans and causes them to struggle with a variety of problems, including thinking, learning and memory.

The disrupted circuit identified in this study solves the mystery of how current antipsychotic drugs ease symptoms and provides a new focus for efforts to develop medications that quiet “voices” but cause fewer side effects.

“We think that reducing the flow of information between these two brain structures that play a central role in processing auditory information sets the stage for stress or other factors to come along and trigger the ‘voices’ that are the most common psychotic symptom of schizophrenia,” said the study’s corresponding author Stanislav Zakharenko, M.D., Ph.D., an associate member of the St. Jude Department of Developmental Neurobiology. “These findings also integrate several competing models regarding changes in the brain that lead to this complex disorder.”

The work was done in a mouse model of the human genetic disorder 22q11 deletion syndrome. The syndrome occurs when part of chromosome 22 is deleted and individuals are left with one rather than the usual two copies of about 25 genes. About 30 percent of individuals with the deletion syndrome develop schizophrenia, making it one of the strongest risk factors for the disorder. DNA is the blueprint for life. Human DNA is organized into 23 pairs of chromosomes that are found in nearly every cell.

Earlier work from Zakharenko’s laboratory linked one of the lost genes, Dgcr8, to brain changes in mice with the deletion syndrome that affect a structure important for learning and memory. They found evidence that the same mechanism was at work in patients with schizophrenia. Dgcr8 carries instructions for making small molecules called microRNAs that help regulate production of different proteins.

For this study, researchers used state-of-the-art tools to link the loss of Dgcr8 to changes that affect a different brain structure, the auditory thalamus. For decades antipsychotic drugs have been known to work by binding to a protein named the D2 dopamine receptor (Drd2). The binding blocks activity of the chemical messenger dopamine. Until now, however, how that quieted the “voices” of schizophrenia was unclear.

Working in mice with and without the 22q11 deletion, researchers showed that the strength of the nerve impulse from neurons in the auditory thalamus was reduced in mice with the deletion compared to normal mice. Electrical activity in other brain regions was not different.

Investigators showed that Drd2 levels were elevated in the auditory thalamus of mice with the deletion, but not in other brain regions. When researchers checked Drd2 levels in tissue from the same structure collected from 26 individuals with and without schizophrenia, scientists reported that protein levels were higher in patients with the disease.

As further evidence of Drd2’s role in disrupting signals from the auditory thalamus, researchers tested neurons in the laboratory from different brain regions of mutant and normal mice by adding antipsychotic drugs haloperidol and clozapine. Those drugs work by targeting Drd2. Originally nerve impulses in the mutant neurons were reduced compared to normal mice. But the nerve impulses were almost universally enhanced by antipsychotics in neurons from mutant mice, but only in neurons from the auditory thalamus.

When researchers looked more closely at the missing 22q11 genes, they found that mice that lacked the Dgcr8 responded to a loud noise in a similar manner as schizophrenia patients. Treatment with haloperidol restored the normal startle response in the mice, just as the drug does in patients.

Studying schizophrenia and other brain disorders advances understanding of normal brain development and the missteps that lead to various catastrophic diseases, including pediatric brain tumors and other problems.

(Source: stjude.org)

Filed under schizophrenia auditory cortex auditory hallucinations 22q11 deletion syndrome genetics neuroscience science

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