Neuroscience

Articles and news from the latest research reports.

Posts tagged neuroimaging

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Brain research provides clues to what makes people think and behave differently
Differences in the physical connections of the brain are at the root of what make people think and behave differently from one another. Researchers reporting in the February 6 issue of the Cell Press journal Neuron shed new light on the details of this phenomenon, mapping the exact brain regions where individual differences occur. Their findings reveal that individuals’ brain connectivity varies more in areas that relate to integrating information than in areas for initial perception of the world.
"Understanding the normal range of individual variability in the human brain will help us identify and potentially treat regions likely to form abnormal circuitry, as manifested in neuropsychiatric disorders," says senior author Dr. Hesheng Liu, of the Massachusetts General Hospital.
Dr. Liu and his colleagues used an imaging technique called resting-state functional magnetic resonance imaging to examine person-to-person variability of brain connectivity in 23 healthy individuals five times over the course of six months.
The researchers discovered that the brain regions devoted to control and attention displayed a greater difference in connectivity across individuals than the regions dedicated to our senses like touch and sight. When they looked at other published studies, the investigators found that brain regions previously shown to relate to individual differences in cognition and behavior overlap with the regions identified in this study to have high variability among individuals. The researchers were therefore able to pinpoint the areas of the brain where variable connectivity causes people to think and behave differently from one another.
Higher rates of variability across individuals were also displayed in regions of the brain that have undergone greater expansion during evolution. “Our findings have potential implications for understanding brain evolution and development,” says Dr. Liu. “This study provides a possible linkage between the diversity of human abilities and evolutionary expansion of specific brain regions,” he adds.

Brain research provides clues to what makes people think and behave differently

Differences in the physical connections of the brain are at the root of what make people think and behave differently from one another. Researchers reporting in the February 6 issue of the Cell Press journal Neuron shed new light on the details of this phenomenon, mapping the exact brain regions where individual differences occur. Their findings reveal that individuals’ brain connectivity varies more in areas that relate to integrating information than in areas for initial perception of the world.

"Understanding the normal range of individual variability in the human brain will help us identify and potentially treat regions likely to form abnormal circuitry, as manifested in neuropsychiatric disorders," says senior author Dr. Hesheng Liu, of the Massachusetts General Hospital.

Dr. Liu and his colleagues used an imaging technique called resting-state functional magnetic resonance imaging to examine person-to-person variability of brain connectivity in 23 healthy individuals five times over the course of six months.

The researchers discovered that the brain regions devoted to control and attention displayed a greater difference in connectivity across individuals than the regions dedicated to our senses like touch and sight. When they looked at other published studies, the investigators found that brain regions previously shown to relate to individual differences in cognition and behavior overlap with the regions identified in this study to have high variability among individuals. The researchers were therefore able to pinpoint the areas of the brain where variable connectivity causes people to think and behave differently from one another.

Higher rates of variability across individuals were also displayed in regions of the brain that have undergone greater expansion during evolution. “Our findings have potential implications for understanding brain evolution and development,” says Dr. Liu. “This study provides a possible linkage between the diversity of human abilities and evolutionary expansion of specific brain regions,” he adds.

Filed under brain brain circuitry brain evolution neuroimaging neuropsychiatric disorders neuroscience science

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Imaging Biomarker Predicts Response to Rapid Antidepressant
A telltale boost of activity at the back of the brain while processing emotional information predicted whether depressed patients would respond to an experimental rapid-acting antidepressant, a National Institutes of Health study has found.
“We have discovered a potential neuroimaging biomarker that may eventually help to personalize treatment selection by revealing brain-based differences between patients,” explained Maura Furey, Ph.D., of NIH’s National Institute of Mental Health (NIMH).
Furey, NIMH’s Carlos Zarate, M.D., and colleagues, reported on their functional magnetic resonance imaging (fMRI) study of a pre-treatment biomarker for the antidepressant response to scopolamine, Jan. 30, 2013, online in JAMA Psychiatry.
Scopolamine, better known as a treatment for motion sickness, has been under study since Furey and colleagues discovered its fast-acting antidepressant properties in 2006. Unlike ketamine, scopolamine works through the brain’s acetylcholine chemical messenger system. The NIMH team’s research has demonstrated that by blocking receptors for acetylcholine on neurons, scopolamine can lift depression in many patients within a few days; conventional antidepressants typically take weeks to work. But not all patients respond, spurring interest in a predictive biomarker.
The acetylcholine system plays a pivotal role in working memory, holding information in mind temporarily, but appears to act by influencing the processing of information rather than through memory. Imaging studies suggest that visual working memory performance can be enhanced by modulating acetylcholine-induced activity in the brain’s visual processing area, called the visual cortex, when processing information that is important to the task. Since working memory performance can predict response to conventional antidepressants and ketamine, Furey and colleagues turned to a working memory task and imaging visual cortex activity as potential tools to identify a biomarker for scopolamine response.
Depressed patients have a well-known tendency to process and remember negative emotional information. The researchers propose that this bias stems from dysregulated acetylcholine systems in some patients. They reasoned that such patients would show aberrant visual cortex activity in response to negative emotional features of a working memory task. They also expected to find that patients with more dysfunctional acetylcholine systems would respond better to scopolamine treatment.

Imaging Biomarker Predicts Response to Rapid Antidepressant

A telltale boost of activity at the back of the brain while processing emotional information predicted whether depressed patients would respond to an experimental rapid-acting antidepressant, a National Institutes of Health study has found.

“We have discovered a potential neuroimaging biomarker that may eventually help to personalize treatment selection by revealing brain-based differences between patients,” explained Maura Furey, Ph.D., of NIH’s National Institute of Mental Health (NIMH).

Furey, NIMH’s Carlos Zarate, M.D., and colleagues, reported on their functional magnetic resonance imaging (fMRI) study of a pre-treatment biomarker for the antidepressant response to scopolamine, Jan. 30, 2013, online in JAMA Psychiatry.

Scopolamine, better known as a treatment for motion sickness, has been under study since Furey and colleagues discovered its fast-acting antidepressant properties in 2006. Unlike ketamine, scopolamine works through the brain’s acetylcholine chemical messenger system. The NIMH team’s research has demonstrated that by blocking receptors for acetylcholine on neurons, scopolamine can lift depression in many patients within a few days; conventional antidepressants typically take weeks to work. But not all patients respond, spurring interest in a predictive biomarker.

The acetylcholine system plays a pivotal role in working memory, holding information in mind temporarily, but appears to act by influencing the processing of information rather than through memory. Imaging studies suggest that visual working memory performance can be enhanced by modulating acetylcholine-induced activity in the brain’s visual processing area, called the visual cortex, when processing information that is important to the task. Since working memory performance can predict response to conventional antidepressants and ketamine, Furey and colleagues turned to a working memory task and imaging visual cortex activity as potential tools to identify a biomarker for scopolamine response.

Depressed patients have a well-known tendency to process and remember negative emotional information. The researchers propose that this bias stems from dysregulated acetylcholine systems in some patients. They reasoned that such patients would show aberrant visual cortex activity in response to negative emotional features of a working memory task. They also expected to find that patients with more dysfunctional acetylcholine systems would respond better to scopolamine treatment.

Filed under depression antidepressants scopolamine biomarker neuroimaging acetylcholine system neuroscience science

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Response and recovery in the brain may predict well-being
It has long been known that the part of the brain called the amygdala is responsible for recognition of a threat and knowing whether to fight or flee from the danger.
Now, using functional magnetic resonance imaging, or fMRI, scientists at the Center for Investigating Healthy Minds at the University of Wisconsin-Madison Waisman Center are watching the duration of the amygdala response in the brains of healthy people when exposed to negative images. How long the recovery takes may be an indicator of personality traits like neuroticism.
Recently published in the journal Social Cognitive and Affective Neuroscience, the study specifically examines how the amygdala responds and recovers from negative stimuli. One of the more primitive parts of the mammalian brain, the amygdala is central to processing emotion, including activating changes in the body that often accompany emotion. In terms of its evolutionary function, this region of the brain is part of a circuit that is key to our sense of fear recognition and alertness to danger.
While the role of the amygdala has been understood and well documented, the time course for the response-recovery process has never been investigated, nor observed, until the recent advance of fMRI analysis methods.
"Past studies looking at the temporal unfolding of emotional responses have focused on reports of emotional experience obtained from interviews and questionnaires," says Tammi Kral, research specialist at the Center for Investigating Healthy Minds and an author of the paper. "This study is different because it looks at the temporal activity in the brain via fMRI."
Through the lens of fMRI, scientists can measure the activation in the amygdala as it reacts to negative stimuli, and the subsequent recovery after the stimulus ends. This study shows that while the initial reactivity of the amygdala does not predict personality traits, a sluggish response-recovery time may be a predictor of neuroticism.
"People’s responses to negative emotional stimuli, and their ability to regulate those responses, can be a major factor in depression, anxiety and other psychological disorders," says Kral. "In the case of depression, the person is often ruminating, perseverating — they’re unable to let go of the negative experience."
The study could have clinical applications because it implies that changing the way people recover from negative occurrences may be a good way to improve their emotional well-being. Research from other groups also supports the idea that individual differences in emotional recovery affect overall well-being.

Response and recovery in the brain may predict well-being

It has long been known that the part of the brain called the amygdala is responsible for recognition of a threat and knowing whether to fight or flee from the danger.

Now, using functional magnetic resonance imaging, or fMRI, scientists at the Center for Investigating Healthy Minds at the University of Wisconsin-Madison Waisman Center are watching the duration of the amygdala response in the brains of healthy people when exposed to negative images. How long the recovery takes may be an indicator of personality traits like neuroticism.

Recently published in the journal Social Cognitive and Affective Neuroscience, the study specifically examines how the amygdala responds and recovers from negative stimuli. One of the more primitive parts of the mammalian brain, the amygdala is central to processing emotion, including activating changes in the body that often accompany emotion. In terms of its evolutionary function, this region of the brain is part of a circuit that is key to our sense of fear recognition and alertness to danger.

While the role of the amygdala has been understood and well documented, the time course for the response-recovery process has never been investigated, nor observed, until the recent advance of fMRI analysis methods.

"Past studies looking at the temporal unfolding of emotional responses have focused on reports of emotional experience obtained from interviews and questionnaires," says Tammi Kral, research specialist at the Center for Investigating Healthy Minds and an author of the paper. "This study is different because it looks at the temporal activity in the brain via fMRI."

Through the lens of fMRI, scientists can measure the activation in the amygdala as it reacts to negative stimuli, and the subsequent recovery after the stimulus ends. This study shows that while the initial reactivity of the amygdala does not predict personality traits, a sluggish response-recovery time may be a predictor of neuroticism.

"People’s responses to negative emotional stimuli, and their ability to regulate those responses, can be a major factor in depression, anxiety and other psychological disorders," says Kral. "In the case of depression, the person is often ruminating, perseverating — they’re unable to let go of the negative experience."

The study could have clinical applications because it implies that changing the way people recover from negative occurrences may be a good way to improve their emotional well-being. Research from other groups also supports the idea that individual differences in emotional recovery affect overall well-being.

Filed under amygdala emotional response personality traits neuroimaging neuroscience psychology science

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Pioneering research helps to unravel the brain’s vision secrets
A new study led by scientists at the Universities of York and Bradford has identified the two areas of the brain responsible for our perception of orientation and shape.
Using sophisticated imaging equipment at York Neuroimaging Centre (YNiC), the research found that the two neighbouring areas of the cortex — each about the size of a 5p coin and known as human visual field maps — process the different types of visual information independently.
The scientists, from the Department of Psychology at York and the Bradford School of Optometry & Vision Science established how the two areas worked by subjecting them to magnetic fields for a short period which disrupted their normal brain activity. The research which is reported in Nature Neuroscience represents an important step forward in understanding how the brain processes visual information.
Attention now switches to a further four areas of the extra-striate cortex which are also responsible for visual function but whose specific individual roles are unknown.
The study was designed by Professor Tony Morland, of York’s Department of Psychology and the Hull York Medical School, and Dr Declan McKeefry, of the Bradford School of Optometry and Vision Science at the University of Bradford. It was undertaken as part of a PhD by Edward Silson at York.
Researchers used functional magnetic resonance imaging (fMRI) equipment at YNiC to pinpoint the two brain areas, which they subsequently targeted with magnetic fields that temporarily disrupt neural activity. They found that one area had a specialised and causal role in processing orientation while neural activity in the other underpinned the processing of shape defined by differences in curvature.
(Photo: Image courtesy of Brian A. Wandell, Serge O. Dumoulin and Alyssa A. Brewer)

Pioneering research helps to unravel the brain’s vision secrets

A new study led by scientists at the Universities of York and Bradford has identified the two areas of the brain responsible for our perception of orientation and shape.

Using sophisticated imaging equipment at York Neuroimaging Centre (YNiC), the research found that the two neighbouring areas of the cortex — each about the size of a 5p coin and known as human visual field maps — process the different types of visual information independently.

The scientists, from the Department of Psychology at York and the Bradford School of Optometry & Vision Science established how the two areas worked by subjecting them to magnetic fields for a short period which disrupted their normal brain activity. The research which is reported in Nature Neuroscience represents an important step forward in understanding how the brain processes visual information.

Attention now switches to a further four areas of the extra-striate cortex which are also responsible for visual function but whose specific individual roles are unknown.

The study was designed by Professor Tony Morland, of York’s Department of Psychology and the Hull York Medical School, and Dr Declan McKeefry, of the Bradford School of Optometry and Vision Science at the University of Bradford. It was undertaken as part of a PhD by Edward Silson at York.

Researchers used functional magnetic resonance imaging (fMRI) equipment at YNiC to pinpoint the two brain areas, which they subsequently targeted with magnetic fields that temporarily disrupt neural activity. They found that one area had a specialised and causal role in processing orientation while neural activity in the other underpinned the processing of shape defined by differences in curvature.

(Photo: Image courtesy of Brian A. Wandell, Serge O. Dumoulin and Alyssa A. Brewer)

Filed under brain perception orientation visual information object recognition neuroimaging neuroscience science

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New research uncovers the neural mechanism underlying drug cravings
Addiction may result from abnormal brain circuitry in the frontal cortex, the part of the brain that controls decision-making. Researchers from the RIKEN Center for Molecular Imaging Science in Japan collaborating with colleagues from the Montreal Neurological Institute of McGill University in Canada report today that the lateral and orbital regions of the frontal cortex interact during the response to a drug-related cue and that aberrant interaction between the two frontal regions may underlie addiction. Their results are published today in the journal Proceedings of the National Academy of Sciences of the USA.
Cues such as the sight of drugs can induce cravings and lead to drug-seeking behaviors and drug use. But cravings are also influenced by other factors, such as drug availability and self-control. To investigate the neural mechanisms involved in cue-induced cravings the researchers studied the brain activity of a group of 10 smokers, following exposure to cigarette cues under two different conditions of cigarette availability. In one experiment cigarettes were available immediately and in the other they were not. The researchers combined a technique called transcranial magnetic stimulation (TMS) with functional magnetic resonance imaging (fMRI).
The results demonstrate that in smokers the orbitofrontal cortex (OFC) tracks the level of craving while the dorsolateral prefrontal cortex (DPFC) is responsible for integrating drug cues and drug availability. Moreover, the DPFC has the ability to suppress activity in the OFC when the cigarette is unavailable. When the DPFC was inactivated using TMS, both craving and craving-related signals in the OFC became independent of drug availability.
The authors of the study conclude that the DLPFC incorporates drug cues and knowledge on drug availability to modulate the value signals it transmits to the OFC, where this information is transformed into drug-seeking action.
"We demonstrate that in smokers, cravings build up in the OFC upon processing of cigarette cues and availability by the DFPC. What is surprising is that this is a neural circuit involved in decision making and self-control, that normally guides individuals to optimal behaviors in daily life." Explains Dr. Hayashi, from RIKEN, who designed and conducted the fMRI and TMS experiments.
"This research uncovers the brain circuitry responsible for self-control during reward-seeking choices. It is also consistent with the view that drug addiction is a pathology of decision making." According to Dr. Alain Dagher, a neurologist at the Montreal Neurological Institute.
These findings will help understand the neural basis of addiction and may contribute to a therapeutic approach for addiction.
(Image: New Jersey Addiction Assistance)

New research uncovers the neural mechanism underlying drug cravings

Addiction may result from abnormal brain circuitry in the frontal cortex, the part of the brain that controls decision-making. Researchers from the RIKEN Center for Molecular Imaging Science in Japan collaborating with colleagues from the Montreal Neurological Institute of McGill University in Canada report today that the lateral and orbital regions of the frontal cortex interact during the response to a drug-related cue and that aberrant interaction between the two frontal regions may underlie addiction. Their results are published today in the journal Proceedings of the National Academy of Sciences of the USA.

Cues such as the sight of drugs can induce cravings and lead to drug-seeking behaviors and drug use. But cravings are also influenced by other factors, such as drug availability and self-control. To investigate the neural mechanisms involved in cue-induced cravings the researchers studied the brain activity of a group of 10 smokers, following exposure to cigarette cues under two different conditions of cigarette availability. In one experiment cigarettes were available immediately and in the other they were not. The researchers combined a technique called transcranial magnetic stimulation (TMS) with functional magnetic resonance imaging (fMRI).

The results demonstrate that in smokers the orbitofrontal cortex (OFC) tracks the level of craving while the dorsolateral prefrontal cortex (DPFC) is responsible for integrating drug cues and drug availability. Moreover, the DPFC has the ability to suppress activity in the OFC when the cigarette is unavailable. When the DPFC was inactivated using TMS, both craving and craving-related signals in the OFC became independent of drug availability.

The authors of the study conclude that the DLPFC incorporates drug cues and knowledge on drug availability to modulate the value signals it transmits to the OFC, where this information is transformed into drug-seeking action.

"We demonstrate that in smokers, cravings build up in the OFC upon processing of cigarette cues and availability by the DFPC. What is surprising is that this is a neural circuit involved in decision making and self-control, that normally guides individuals to optimal behaviors in daily life." Explains Dr. Hayashi, from RIKEN, who designed and conducted the fMRI and TMS experiments.

"This research uncovers the brain circuitry responsible for self-control during reward-seeking choices. It is also consistent with the view that drug addiction is a pathology of decision making." According to Dr. Alain Dagher, a neurologist at the Montreal Neurological Institute.

These findings will help understand the neural basis of addiction and may contribute to a therapeutic approach for addiction.

(Image: New Jersey Addiction Assistance)

Filed under frontal cortex orbitofrontal cortex brain activity addiction decision-making neuroimaging neuroscience science

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Brain structure of infants predicts language skills at 1 year
Using a brain-imaging technique that examines the entire infant brain, researchers have found that the anatomy of certain brain areas – the hippocampus and cerebellum – can predict children’s language abilities at 1 year of age.
The University of Washington study is the first to associate these brain structures with future language skills. The results are published in the January issue of the journal Brain and Language.
“The brain of the baby holds an infinite number of secrets just waiting to be uncovered, and these discoveries will show us why infants learn languages like sponges, far surpassing our skills as adults,” said co-author Patricia Kuhl, co-director of the UW’s Institute for Learning & Brain Sciences.
Children’s language skills soar after they reach their first birthdays, but little is known about how infants’ early brain development seeds that path. Identifying which brain areas are related to early language learning could provide a first glimpse of development going awry, allowing for treatments to begin earlier.
“Infancy may be the most important phase of postnatal brain development in humans,” said Dilara Deniz Can, lead author and a UW postdoctoral researcher. “Our results showing brain structures linked to later language ability in typically developing infants is a first step toward examining links to brain and behavior in young children with linguistic, psychological and social delays.”

Brain structure of infants predicts language skills at 1 year

Using a brain-imaging technique that examines the entire infant brain, researchers have found that the anatomy of certain brain areas – the hippocampus and cerebellum – can predict children’s language abilities at 1 year of age.

The University of Washington study is the first to associate these brain structures with future language skills. The results are published in the January issue of the journal Brain and Language.

“The brain of the baby holds an infinite number of secrets just waiting to be uncovered, and these discoveries will show us why infants learn languages like sponges, far surpassing our skills as adults,” said co-author Patricia Kuhl, co-director of the UW’s Institute for Learning & Brain Sciences.

Children’s language skills soar after they reach their first birthdays, but little is known about how infants’ early brain development seeds that path. Identifying which brain areas are related to early language learning could provide a first glimpse of development going awry, allowing for treatments to begin earlier.

“Infancy may be the most important phase of postnatal brain development in humans,” said Dilara Deniz Can, lead author and a UW postdoctoral researcher. “Our results showing brain structures linked to later language ability in typically developing infants is a first step toward examining links to brain and behavior in young children with linguistic, psychological and social delays.”

Filed under brain cerebellum hippocampus neuroimaging language science

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Research Reveals Exactly How the Human Brain Adapts to Injury
For the first time, scientists at Carnegie Mellon University’s Center for Cognitive Brain Imaging (CCBI) have used a new combination of neural imaging methods to discover exactly how the human brain adapts to injury. The research, published in Cerebral Cortex, shows that when one brain area loses functionality, a “back-up” team of secondary brain areas immediately activates, replacing not only the unavailable area but also its confederates.
“The human brain has a remarkable ability to adapt to various types of trauma, such as traumatic brain injury and stroke, making it possible for people to continue functioning after key brain areas have been damaged,” said Marcel Just, the D. O. Hebb Professor of Psychology at CMU and CCBI director. “It is now clear how the brain can naturally rebound from injuries and gives us indications of how individuals can train their brains to be prepared for easier recovery. The secret is to develop alternative thinking styles, the way a switch-hitter develops alternative batting styles. Then, if a muscle in one arm is injured, they can use the batting style that relies more on the uninjured arm.”
For the study, Just, Robert Mason, senior research psychologist at CMU, and Chantel Prat, assistant professor of psychology at the University of Washington, used functional magnetic resonance imaging (fMRI) to study precisely how the brains of 16 healthy adults adapted to the temporary incapacitation of the Wernicke area, the brain’s key region involved in language comprehension. They applied Transcranial Magnetic Stimulation (TMS) in the middle of the fMRI scan to temporarily disable the Wernicke area in the participants’ brains. The participants, while in the MRI scanner, were performing a sentence comprehension task before, during and after the TMS was applied. Normally, the Wernicke area is a major player in sentence comprehension.
The research team used the fMRI scans to measure how the brain activity changed immediately following stimulation to the Wernicke area. The results showed that as the brain function in the Wernicke area decreased following the application of TMS, a “back-up” team of secondary brain areas immediately became activated and coordinated, allowing the individual’s thought process to continue with no decrease in comprehension performance.
The brain’s back-up team consisted of three types of brain regions: (1) contralateral areas —areas that are in the mirror-image location of the brain; (2) areas that are right next to the impaired area; and (3) a frontal executive area.
“The first two types of back-up areas have similar brain capabilities as the impaired Wernicke area, although they are less efficient at the capability,” Just said. “The third area plays a strategic role as in responding to the initial impairment and recruiting back-up areas with similar capabilities.”
Additionally, the research showed that impairing the Wernicke area also negatively affected the cortical partners with which the Wernicke area had been working. “Thinking is a network function,” Just explained. “When a key node of a network is impaired, the network that is closely collaborating with the impaired node is also impaired. People do their thinking with groups of brain areas, not with single brain areas.”
Mason, the study’s lead author, noted that following the TMS, the impaired area and its partners gradually returned to their previous levels of coordinated activity, while the back-up team of brain areas was still in place. “This means, that for some period of time, there were two cortical teams operating simultaneously, explaining why performance is sometimes improved by TMS,” he said.
This research builds on Just’s previous research on brain resilience after stroke and brain training to remediate dyslexia. The studies are motivated by a computational theory, called 4CAPS, that provides an account of how autonomous brain systems dynamically self-organize themselves in response to changing circumstances, which the researchers believe to be the basis of fluid intelligence.

Research Reveals Exactly How the Human Brain Adapts to Injury

For the first time, scientists at Carnegie Mellon University’s Center for Cognitive Brain Imaging (CCBI) have used a new combination of neural imaging methods to discover exactly how the human brain adapts to injury. The research, published in Cerebral Cortex, shows that when one brain area loses functionality, a “back-up” team of secondary brain areas immediately activates, replacing not only the unavailable area but also its confederates.

“The human brain has a remarkable ability to adapt to various types of trauma, such as traumatic brain injury and stroke, making it possible for people to continue functioning after key brain areas have been damaged,” said Marcel Just, the D. O. Hebb Professor of Psychology at CMU and CCBI director. “It is now clear how the brain can naturally rebound from injuries and gives us indications of how individuals can train their brains to be prepared for easier recovery. The secret is to develop alternative thinking styles, the way a switch-hitter develops alternative batting styles. Then, if a muscle in one arm is injured, they can use the batting style that relies more on the uninjured arm.”

For the study, Just, Robert Mason, senior research psychologist at CMU, and Chantel Prat, assistant professor of psychology at the University of Washington, used functional magnetic resonance imaging (fMRI) to study precisely how the brains of 16 healthy adults adapted to the temporary incapacitation of the Wernicke area, the brain’s key region involved in language comprehension. They applied Transcranial Magnetic Stimulation (TMS) in the middle of the fMRI scan to temporarily disable the Wernicke area in the participants’ brains. The participants, while in the MRI scanner, were performing a sentence comprehension task before, during and after the TMS was applied. Normally, the Wernicke area is a major player in sentence comprehension.

The research team used the fMRI scans to measure how the brain activity changed immediately following stimulation to the Wernicke area. The results showed that as the brain function in the Wernicke area decreased following the application of TMS, a “back-up” team of secondary brain areas immediately became activated and coordinated, allowing the individual’s thought process to continue with no decrease in comprehension performance.

The brain’s back-up team consisted of three types of brain regions: (1) contralateral areas —areas that are in the mirror-image location of the brain; (2) areas that are right next to the impaired area; and (3) a frontal executive area.

“The first two types of back-up areas have similar brain capabilities as the impaired Wernicke area, although they are less efficient at the capability,” Just said. “The third area plays a strategic role as in responding to the initial impairment and recruiting back-up areas with similar capabilities.”

Additionally, the research showed that impairing the Wernicke area also negatively affected the cortical partners with which the Wernicke area had been working. “Thinking is a network function,” Just explained. “When a key node of a network is impaired, the network that is closely collaborating with the impaired node is also impaired. People do their thinking with groups of brain areas, not with single brain areas.”

Mason, the study’s lead author, noted that following the TMS, the impaired area and its partners gradually returned to their previous levels of coordinated activity, while the back-up team of brain areas was still in place. “This means, that for some period of time, there were two cortical teams operating simultaneously, explaining why performance is sometimes improved by TMS,” he said.

This research builds on Just’s previous research on brain resilience after stroke and brain training to remediate dyslexia. The studies are motivated by a computational theory, called 4CAPS, that provides an account of how autonomous brain systems dynamically self-organize themselves in response to changing circumstances, which the researchers believe to be the basis of fluid intelligence.

Filed under brain brain activity TBI neuroimaging brain injury Wernicke area neuroscience science

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Big Picture: Inside the Brain
The Spring 2013 issue of Big Picture, Inside the Brain, is now available online. This issue, explores the technologies that are helping us to understand the brain, including magnetic resonance imaging (MRI) and computed tomography (CT).
About the cover:
This photograph, taken by Robert Ludlow, shows the surface (cortex) of a human brain belonging to an epileptic patient. The image displays the bright red arteries that supply the brain with nutrients and oxygen and the purple veins that remove deoxygenated blood. This photograph was taken before an intracranial electrode recording procedure for epilepsy, in which electrical activity is measured from the exposed surface of the brain. To find out more about Robert’s image and its creation, view this video on the UCL Institute of Neurology’s website. (Wellcome Image Awards 2012)

Big Picture: Inside the Brain

The Spring 2013 issue of Big Picture, Inside the Brain, is now available online. This issue, explores the technologies that are helping us to understand the brain, including magnetic resonance imaging (MRI) and computed tomography (CT).

About the cover:

This photograph, taken by Robert Ludlow, shows the surface (cortex) of a human brain belonging to an epileptic patient. The image displays the bright red arteries that supply the brain with nutrients and oxygen and the purple veins that remove deoxygenated blood. This photograph was taken before an intracranial electrode recording procedure for epilepsy, in which electrical activity is measured from the exposed surface of the brain. To find out more about Robert’s image and its creation, view this video on the UCL Institute of Neurology’s website. (Wellcome Image Awards 2012)

Filed under Big Picture magazine brain neuroimaging structural imaging functional imaging neuroscience education science

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Cell Loss in the Brain Relates to Variations in Individual Symptoms in Huntington’s Disease

Scientists have wrestled to understand why Huntington’s disease, which is caused by a single gene mutation, can produce such variable symptoms. An authoritative review by a group of leading experts summarizes the progress relating cell loss in the striatum and cerebral cortex to symptom profile in Huntington’s disease, suggesting a possible direction for developing targeted therapies. The article is published in the latest issue of the Journal of Huntington’s Disease.

Huntington’s disease (HD) is an inherited progressive neurological disorder for which there is presently no cure. It is caused by a dominant mutation in the HD gene leading to expression of mutant huntingtin (HTT) protein. Expression of mutant HTT causes subtle changes in cellular functions, which ultimately results in jerking, uncontrollable movements, progressive psychiatric difficulties, and loss of mental abilities.

Although it is caused by a single gene, there are major variations in the symptoms of HD. The pattern of symptoms shown by each individual during the course of the disease can differ considerably and present as varying degrees of movement disturbances, cognitive decline, and mood and behavioral changes. Disease duration is typically between ten and twenty years.

Recent investigations have focused on what the presence of the defective gene does to various structures in the brain and understanding the relationship between changes in the brain and the variability in symptom profiles in Huntington’s disease.

Analyses of post-mortem human HD tissue suggest that the variation in clinical symptoms in HD is strongly associated with the variable pattern of neurodegeneration in two major regions of the brain, the striatum and the cerebral cortex. The neurodegeneration of the striatum generally follows an ordered and topographical distribution, but comparison of post-mortem human HD tissue and in vivo neuroimaging techniques reveal that the disease produces a striking bilateral atrophy of the striatum, which in these recent studies has been found to be highly variable.

“What is especially interesting is that recent findings suggest that the pattern of striatal cell death shows regional differences between cases in the functionally and neurochemically distinct striosomal and matrix compartments of the striatum which correspond with symptom variation,” says author Richard L.M. Faull, MB, ChB, PhD, DSc, Director of the Centre for Brain Research, University of Auckland, New Zealand.

“Our own recent detailed quantitative study using stereological cell counting in the post-mortem human HD cortex has complemented and expanded the neuroimaging studies by providing a cortical cellular basis of symptom heterogeneity in HD,” continues Dr Faull. “In particular, HD cases which were dominated by motor dysfunction showed a major total cell loss (28% loss) in the primary motor cortex but no cell loss in the limbic cingulate cortex, whereas cases where mood symptoms predominated showed a total of 54% neuronal loss in the limbic cingulate cortex but no cell loss in the motor cortex. This suggests that the variable neuronal loss and alterations in the circuitry of the primary motor cortex and anterior cingulate cortex associated with the variable compartmental pattern of cell degeneration in the striatum contribute to the differential impairments of motor and mood functions in HD.”

The authors note that there are still questions to be answered in the field of HD pathology, such as, how and when pathological neuronal loss occurs; whether the progressive loss of neurons in the striatum is the primary process or is consequential to cortical cell dysfunction; and how these changes relate to symptom profiles.

“What is clear however is that the diverse symptoms of HD patients appear to relate to the heterogeneity of cell loss in both the striatum and cerebral cortex,” the authors conclude. “While there is currently no cure, this contemporary evidence suggests that possible genetic therapies aimed at HD gene silencing should be directed towards intervention at both the cerebral cortex and the striatum in the human brain. This poses challenging problems requiring the application of gene silencing therapies to quite widespread regions of the forebrain which may be assisted via CSF delivery systems using gene suppression agents that cross the CSF/brain barrier.”

(Source: iospress.nl)

Filed under huntington’s disease neurodegeneration cell loss neuroimaging cognitive decline neuroscience science

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Neural Pointillism: Lighting Up the Brain in Psychedelic Relief

During the last decade, researchers have labored intensively to find new methods to photograph the complex networks of nerve cells that make up the brain and spinal cord, an attempt to overcome the severe limitations of earlier imaging technologies. The emerging science of connectomics, intended to map such connections, will be made possible by deploying these techniques.

In 2007, Jeff Lichtman, Joshua Sanes and colleagues at Harvard University came up with one of the most notable examples of the new brain-cell imaging methods. Brainbow lights up neurons in about 100 different hues, enabling a precise tracking of neural circuitry and synapses, the gaps between brain cells.

Scientists engineer a mouse or another model animal with a gene that randomly causes each neuron to express differing amounts of a red, green or blue fluorescent protein, producing a palette of varying pastel-like colors. Slices of tissue are photographed and recombined to produce detailed imagery of the brain’s structural topography. (The original discovery of what is called green fluorescent protein by Martin Chalfie, Osamu Shinomura and Roger Y. Tsien, from which these new multi-colored fluorescent proteins are derived, was awarded the 2008 Nobel Prize in Chemistry.)

Filed under brain nerve cells neuroimaging brainbow connectomics neuroscience science

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