Neuroscience

Articles and news from the latest research reports.

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Brain imaging shows enhanced executive brain function in people with musical training
A controlled study using functional MRI brain imaging reveals a possible biological link between early musical training and improved executive functioning in both children and adults, report researchers at Boston Children’s Hospital. The study, appearing online June 17 in the journal PLOS ONE, uses functional MRI of brain areas associated with executive function, adjusting for socioeconomic factors.
Executive functions are the high-level cognitive processes that enable people to quickly process and retain information, regulate their behaviors, make good choices, solve problems, plan and adjust to changing mental demands.
"Since executive functioning is a strong predictor of academic achievement, even more than IQ, we think our findings have strong educational implications," says study senior investigator Nadine Gaab, PhD, of the Laboratories of Cognitive Neuroscience at Boston Children’s. "While many schools are cutting music programs and spending more and more time on test preparation, our findings suggest that musical training may actually help to set up children for a better academic future."
While it’s already clear that musical training relates to cognitive abilities, few previous studies have looked at its effects on executive functions specifically. Among these studies, results have been mixed and limited by a lack of objective brain measurements, examination of only a few aspects of executive function, lack of well-defined musical training and control groups, and inadequate adjustment for factors like socioeconomic status.
Gaab and colleagues compared 15 musically trained children, 9 to 12, with a control group of 12 untrained children of the same age. Musically trained children had to have played an instrument for at least two years in regular private music lessons. (On average, the children had played for 5.2 years and practiced 3.7 hours per week, starting at the age of 5.9.) The researchers similarly compared 15 adults who were active professional musicians with 15 non-musicians. Both control groups had no musical training beyond general school requirements.
Since family demographic factors can influence whether a child gets private music lessons, the researchers matched the musician/non-musician groups for parental education, job status (parental or their own) and family income. The groups, also matched for IQ, underwent a battery of cognitive tests, and the children also had functional MRI imaging (fMRI) of their brains during testing.
On cognitive testing, adult musicians and musically trained children showed enhanced performance on several aspects of executive functioning. On fMRI, the children with musical training showed enhanced activation of specific areas of the prefrontal cortex during a test that made them switch between mental tasks. These areas, the supplementary motor area, the pre-supplementary area and the right ventrolateral prefrontal cortex, are known to be linked to executive function.
"Our results may also have implications for children and adults who are struggling with executive functioning, such as children with ADHD or [the] elderly," says Gaab. "Future studies have to determine whether music may be utilized as a therapeutic intervention tools for these children and adults."
The researchers note that children who study music may already have executive functioning abilities that somehow attract them to music and predispose them to stick with their lessons. To establish that musical training influences executive function, and not the other way around, they hope to perform additional studies that follow children over time, assigning them to musical training at random.

Brain imaging shows enhanced executive brain function in people with musical training

A controlled study using functional MRI brain imaging reveals a possible biological link between early musical training and improved executive functioning in both children and adults, report researchers at Boston Children’s Hospital. The study, appearing online June 17 in the journal PLOS ONE, uses functional MRI of brain areas associated with executive function, adjusting for socioeconomic factors.

Executive functions are the high-level cognitive processes that enable people to quickly process and retain information, regulate their behaviors, make good choices, solve problems, plan and adjust to changing mental demands.

"Since executive functioning is a strong predictor of academic achievement, even more than IQ, we think our findings have strong educational implications," says study senior investigator Nadine Gaab, PhD, of the Laboratories of Cognitive Neuroscience at Boston Children’s. "While many schools are cutting music programs and spending more and more time on test preparation, our findings suggest that musical training may actually help to set up children for a better academic future."

While it’s already clear that musical training relates to cognitive abilities, few previous studies have looked at its effects on executive functions specifically. Among these studies, results have been mixed and limited by a lack of objective brain measurements, examination of only a few aspects of executive function, lack of well-defined musical training and control groups, and inadequate adjustment for factors like socioeconomic status.

Gaab and colleagues compared 15 musically trained children, 9 to 12, with a control group of 12 untrained children of the same age. Musically trained children had to have played an instrument for at least two years in regular private music lessons. (On average, the children had played for 5.2 years and practiced 3.7 hours per week, starting at the age of 5.9.) The researchers similarly compared 15 adults who were active professional musicians with 15 non-musicians. Both control groups had no musical training beyond general school requirements.

Since family demographic factors can influence whether a child gets private music lessons, the researchers matched the musician/non-musician groups for parental education, job status (parental or their own) and family income. The groups, also matched for IQ, underwent a battery of cognitive tests, and the children also had functional MRI imaging (fMRI) of their brains during testing.

On cognitive testing, adult musicians and musically trained children showed enhanced performance on several aspects of executive functioning. On fMRI, the children with musical training showed enhanced activation of specific areas of the prefrontal cortex during a test that made them switch between mental tasks. These areas, the supplementary motor area, the pre-supplementary area and the right ventrolateral prefrontal cortex, are known to be linked to executive function.

"Our results may also have implications for children and adults who are struggling with executive functioning, such as children with ADHD or [the] elderly," says Gaab. "Future studies have to determine whether music may be utilized as a therapeutic intervention tools for these children and adults."

The researchers note that children who study music may already have executive functioning abilities that somehow attract them to music and predispose them to stick with their lessons. To establish that musical training influences executive function, and not the other way around, they hope to perform additional studies that follow children over time, assigning them to musical training at random.

Filed under music perception cognition working memory neuroimaging neuroscience science

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Understanding the unique nature of children’s bodies and brains
With the increase in childhood obesity and the associated increase in type 2 diabetes among children and adolescents, there is growing interest in how children’s bodies process the foods they eat and how obesity and diabetes begin to develop at early ages. Two studies presented at the American Diabetes Association’s 74th Scientific Sessions® help to shed light on this topic.
One study, by researchers at the Yale School of Medicine, compared how the brains of adolescents and adults differed in their response to ingestion of a glucose drink. It found that in adolescents, glucose increased the blood flow in the regions of the brain implicated in reward-motivation and decision-making, whereas in adults, it decreased the blood flow in these regions.
"While we cannot speculate directly about how glucose ingestion may influence behavior, certainly we have shown that there are differences in how adults and adolescents respond to glucose," said lead researcher Ania Jastreboff, MD, PhD, an Assistant Professor of Medicine and Pediatrics at the Yale School of Medicine. "This is important because adolescents are the highest consumers of dietary added sugars. This is just the first step in understanding what is happening in the adolescent brain in response to consumption of sugary drinks. Ultimately, it will be important to investigate whether such exposure to sugar during adolescence impacts food and drink consumption, and whether it relates to the development of obesity."
Another study, by researchers in Germany at the University Children’s Hospital in Leipzig, compared fat cell composition and biology in lean and obese children and adolescents. They found that when children become obese, beginning as early as age six, there was an increase in the number of adipose cells, and that they are larger in size than the cells found in the bodies of lean children. The researchers also found evidence of dysfunction of the fat cells of obese children, including signs of inflammation, which can lead to insulin resistance, diabetes and other problems, such as high blood pressure.
"Our research shows that obese children start to have not only more but also larger adipocytes, or fat cells, at a very young age and that this is associated with increased inflammation and is linked to impaired metabolic function," said lead researcher Antje Körner, MD, Professor of Pediatrics and Pediatric Researcher at the Pediatric Research Center, University Children’s Hospital, Leipzig. "What we were interested in was seeing whether something was already going on with the adipose tissue itself if the children become obese at an early age, and it appears that there is. It’s important because this can contribute to the development of comorbidities of obesity in children, such as diabetes."

Understanding the unique nature of children’s bodies and brains

With the increase in childhood obesity and the associated increase in type 2 diabetes among children and adolescents, there is growing interest in how children’s bodies process the foods they eat and how obesity and diabetes begin to develop at early ages. Two studies presented at the American Diabetes Association’s 74th Scientific Sessions® help to shed light on this topic.

One study, by researchers at the Yale School of Medicine, compared how the brains of adolescents and adults differed in their response to ingestion of a glucose drink. It found that in adolescents, glucose increased the blood flow in the regions of the brain implicated in reward-motivation and decision-making, whereas in adults, it decreased the blood flow in these regions.

"While we cannot speculate directly about how glucose ingestion may influence behavior, certainly we have shown that there are differences in how adults and adolescents respond to glucose," said lead researcher Ania Jastreboff, MD, PhD, an Assistant Professor of Medicine and Pediatrics at the Yale School of Medicine. "This is important because adolescents are the highest consumers of dietary added sugars. This is just the first step in understanding what is happening in the adolescent brain in response to consumption of sugary drinks. Ultimately, it will be important to investigate whether such exposure to sugar during adolescence impacts food and drink consumption, and whether it relates to the development of obesity."

Another study, by researchers in Germany at the University Children’s Hospital in Leipzig, compared fat cell composition and biology in lean and obese children and adolescents. They found that when children become obese, beginning as early as age six, there was an increase in the number of adipose cells, and that they are larger in size than the cells found in the bodies of lean children. The researchers also found evidence of dysfunction of the fat cells of obese children, including signs of inflammation, which can lead to insulin resistance, diabetes and other problems, such as high blood pressure.

"Our research shows that obese children start to have not only more but also larger adipocytes, or fat cells, at a very young age and that this is associated with increased inflammation and is linked to impaired metabolic function," said lead researcher Antje Körner, MD, Professor of Pediatrics and Pediatric Researcher at the Pediatric Research Center, University Children’s Hospital, Leipzig. "What we were interested in was seeing whether something was already going on with the adipose tissue itself if the children become obese at an early age, and it appears that there is. It’s important because this can contribute to the development of comorbidities of obesity in children, such as diabetes."

Filed under obesity childhood obesity adipocytes glucose diabetes neuroscience science

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International study yields important clues to the genetics of epilepsy

An international team of researchers has discovered a significant genetic component of Idiopathic Generalized Epilepsy (IGE), the most common form of epilepsy. Epilepsy is a neurological disorder characterized by sudden, uncontrolled electrical discharges in the brain expressed as a seizure. The new research, published in this week’s issue of EMBO Reports, implicates a mutation in the gene for a protein, known as cotransporter KCC2.

KCC2 maintains the correct levels of chloride ions in neurons, playing a major part in regulating excitation and inhibition of neurons. The results indicate that a genetic mutation of KCC2 might be a risk factor for developing IGE.

“We found a clear statistical association between two variants of KCC2 and severe IGE in a large French-Canadian patient sample,” said Dr. Guy Rouleau, Director of the Montreal Neurological Institute and Hospital (The Neuro) at McGill University and the McGill University Health Centre, and senior author of the study. “Our data not only corroborate recent findings by other groups but vastly extend them from genetic, physiological and biochemical standpoints.” The first authors on the paper are Dr. Kristopher Kahle, chief neurosurgery resident at Massachusetts General Hospital and post-doctoral fellow at Harvard University, and Dr. Nancy Merner, a former post-doctoral fellow in Dr. Rouleau’s laboratory and now a professor at Auburn University.

The study examined 380 French Canadians with IGE living in Montreal and Quebec City. Results were compared to data from a control group of more than 1,200 people. “KCC2 is a hot topic in neuroscience given its important role in neuronal signaling and in its potential role in neurological diseases such as epilepsy, neuropathic pain, and other diseases,” said Dr. Rouleau.

Each day in Canada, an average of 42 people learn that they have epilepsy. In 50 – 60% of cases, the cause of epilepsy is unknown. The major form of treatment is long-term drug therapy. Drugs are not a cure and can have numerous, sometimes severe, side effects. Brain surgery is recommended only when medication fails and when the seizures are confined to one area of the brain where brain tissue can be safely removed without damaging personality or function.

(Source: publications.mcgill.ca)

Filed under epilepsy KCC2 GABA genetics neuroscience science

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Strokefinder quickly differentiates bleeding strokes from clot-induced strokes
The results from the initial clinical studies involving the microwave helmet Strokefinder confirm the usefulness of microwaves for rapid and accurate diagnosis of stroke patients. This is shown in a scientific article published on Monday. Strokefinder enables earlier diagnosis than current methods, which improves the possibility to counteract brain damage.
In the article, researchers from Chalmers University of Technology, Sahlgrenska Academy and Sahlgrenska University Hospital present results from the initial patient studies completed last year. The study included 45 patients, and the results show that the technique can with great certainty differentiate bleeding strokes from clot-induced strokes in patients with acute symptoms.
Strokefinder is placed on the patient’s head where it examines the brain tissue by using microwaves. The signals are interpreted by the system to determine if the stroke is caused by a blood clot or bleeding.
“The results of this study show that we will be able to increase the number of stroke patients who receive optimal treatment when the instrument makes a diagnosis already in the ambulance,” says Mikael Persson, professor of biomedical engineering at Chalmers University of Technology. “The possibility to rule out bleeding already in the ambulance is a major achievement that will be of great benefit in acute stroke care. Equally exciting is the potential application in trauma care.
Diagnosis and treatment already in the ambulance
The initial patient studies have been performed inside hospitals, and this autumn the research groups at Chalmers and Sahlgrenska Academy will test a mobile stroke helmet on patients in ambulances.
“Our goal with Strokefinder is to diagnose and initiate treatment of stroke patients already in the ambulance,” says Mikael Elam, professor of clinical neurophysiology at Sahlgrenska University Hospital. “Since time is a critical factor for stroke treatment, the use of the instrument leads to patients suffering less extensive injury. This in turn can shorten the length of stay at hospitals and reduce the need for rehabilitation, thus providing a number of other positive consequences for both the patient and the health care system.”
Studies involving Strokefinder are currently being conducted at Sahlgrenska University Hospital and Södra Älvsborg Hospital in Borås. The research is being conducted in close collaboration between Chalmers University of Technology, Sahlgrenska Academy, Sahlgrenska University Hospital, Södra Älvsborg Hospital and MedTech West, which is a platform for collaboration in medical device R&D, with premises at Sahlgrenska University Hospital.
A new product, based on the results of the present study, has been developed, and further studies will be conducted in several countries in preparation for the CE approval that Medfield Diagnostics, a spin-off from Chalmers, expects to obtain later this year.

(Illustration: Boid)
How Strokefinder differentiates bleeding strokes from clot-induced strokes
The antennas of the helmet sequentially transmit weak microwave signals into the brain. At the same time, the receiving antennas listen for reflected signals. The brain’s different structures and substances affect the microwave scattering and reflections in different ways. The received signals give a complex pattern, which is interpreted with the help of advanced algorithms. Based on these data, the system can diagnose bleeding or a clot. Bleeding is particularly pronounced, but an area with a clot and oxygen deficiency can also be distinguished. (Watch the video).

Strokefinder quickly differentiates bleeding strokes from clot-induced strokes

The results from the initial clinical studies involving the microwave helmet Strokefinder confirm the usefulness of microwaves for rapid and accurate diagnosis of stroke patients. This is shown in a scientific article published on Monday. Strokefinder enables earlier diagnosis than current methods, which improves the possibility to counteract brain damage.

In the article, researchers from Chalmers University of Technology, Sahlgrenska Academy and Sahlgrenska University Hospital present results from the initial patient studies completed last year. The study included 45 patients, and the results show that the technique can with great certainty differentiate bleeding strokes from clot-induced strokes in patients with acute symptoms.

Strokefinder is placed on the patient’s head where it examines the brain tissue by using microwaves. The signals are interpreted by the system to determine if the stroke is caused by a blood clot or bleeding.

“The results of this study show that we will be able to increase the number of stroke patients who receive optimal treatment when the instrument makes a diagnosis already in the ambulance,” says Mikael Persson, professor of biomedical engineering at Chalmers University of Technology. “The possibility to rule out bleeding already in the ambulance is a major achievement that will be of great benefit in acute stroke care. Equally exciting is the potential application in trauma care.

Diagnosis and treatment already in the ambulance

The initial patient studies have been performed inside hospitals, and this autumn the research groups at Chalmers and Sahlgrenska Academy will test a mobile stroke helmet on patients in ambulances.

“Our goal with Strokefinder is to diagnose and initiate treatment of stroke patients already in the ambulance,” says Mikael Elam, professor of clinical neurophysiology at Sahlgrenska University Hospital. “Since time is a critical factor for stroke treatment, the use of the instrument leads to patients suffering less extensive injury. This in turn can shorten the length of stay at hospitals and reduce the need for rehabilitation, thus providing a number of other positive consequences for both the patient and the health care system.”

Studies involving Strokefinder are currently being conducted at Sahlgrenska University Hospital and Södra Älvsborg Hospital in Borås. The research is being conducted in close collaboration between Chalmers University of Technology, Sahlgrenska Academy, Sahlgrenska University Hospital, Södra Älvsborg Hospital and MedTech West, which is a platform for collaboration in medical device R&D, with premises at Sahlgrenska University Hospital.

A new product, based on the results of the present study, has been developed, and further studies will be conducted in several countries in preparation for the CE approval that Medfield Diagnostics, a spin-off from Chalmers, expects to obtain later this year.

(Illustration: Boid)

How Strokefinder differentiates bleeding strokes from clot-induced strokes

The antennas of the helmet sequentially transmit weak microwave signals into the brain. At the same time, the receiving antennas listen for reflected signals. The brain’s different structures and substances affect the microwave scattering and reflections in different ways. The received signals give a complex pattern, which is interpreted with the help of advanced algorithms. Based on these data, the system can diagnose bleeding or a clot. Bleeding is particularly pronounced, but an area with a clot and oxygen deficiency can also be distinguished. (Watch the video).

Filed under brain damage stroke strokefinder microwaves medicine science

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Clever Suppression in the Brain

The hippocampus is a small structure in the brains of mammals that plays a crucial role in processing input from our senses and allows perceptions to be stored as memories. Nerve cells that inhibit the activity of other cells have now been shown to play a much larger and more complex role in these processes than previously assumed. Teams led by Prof. Dr. Marlene Bartos from the Cluster of Excellence BrainLinks-BrainTools at the University of Freiburg and Prof. Dr. Imre Vida from the Cluster of Excellence NeuroCure at the hospital Charité in Berlin report these findings in the current issue of the Journal of Neuroscience.

image

(Image caption: Three different cell types in the hippocampus (BC, HCP, and HIPP) were previously known to have different morphologies (top). New research shows that they respond to electrical stimulation (black traces) by inhibiting other nerve cells in very different patterns (bottom), allowing for more powerful information processing. Credit: BrainLinks-BrainTools)

In their study, the scientists investigated how special types of so-called interneurons build connections with each other within the hippocampus and how their function influences the network of nerve cells as a whole. Interneurons do not prompt other nerve cells to become active but, on the contrary, inhibit them. This kind of suppression plays an important role in brain activity in general. Information processing would not be possible otherwise, because a brain in which all nerve cells are active at the same time is effectively put out of order.

The hippocampus is home to a variety of different inhibitory cells, which were known so far to differ greatly in their form and function. But up to now it has been generally assumed that their actual influence on the activity of the brain structure they belong to is rather small. By combining several different experimental methods, Bartos, Vida, and their teams succeeded in showing that these cells are actually able to strongly interfere with the activity and the timing of activity patterns within the hippocampus. Moreover, the various possible combinations of connections between these different cell types show markedly different characteristics in their function. This makes the inhibition within the hippocampus much more flexible and versatile than previously assumed. The team of scientists suspects that this also makes the capability to process information within the hippocampus much bigger. The results published in this study are from experiments conducted in acute slice preparations of the hippocampus. Up next for the researchers will be the task of verifying these results within the actual brain.

(Source: pr.uni-freiburg.de)

Filed under memory hippocampus interneurons brain activity neuroscience science

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(Image caption: Brain scans show high activity in the medial prefrontal cortex (top) and striatum (bottom) while playing a competitive game. UC Berkeley and UIUC researchers have now found genetic variations in dopamine-regulating genes in the prefrontal cortex and striatum associated with differences in belief learning and reinforcement learning, respectively. Credit: Ming Hsu)
Your genes affect your betting behavior
Investors and gamblers take note: your betting decisions and strategy are determined, in part, by your genes.
Researchers from the University of California, Berkeley, National University of Singapore and University of Illinois at Urbana-Champaign (UIUC) have shown that betting decisions in a simple competitive game are influenced by the specific variants of dopamine-regulating genes in a person’s brain.
Dopamine is a neurotransmitter – a chemical released by brain cells to signal other brain cells – that is a key part of the brain’s reward and pleasure-seeking system. Dopamine deficiency leads to Parkinson’s disease, while disruption of the dopamine network is linked to numerous psychiatric and neurodegenerative disorders, including schizophrenia, depression and dementia.
While previous studies have shown the important role of the neurotransmitter dopamine in social interactions, this is the first study tying these interactions to specific genes that govern dopamine functioning.
“This study shows that genes influence complex social behavior, in this case strategic behavior,” said study leader Ming Hsu, an assistant professor of marketing in UC Berkeley’s Haas School of Business and a member of the Helen Wills Neuroscience Institute. “We now have some clues about the neural mechanisms through which our genes affect behavior.”
The implications for business are potentially vast but unclear, Hsu said, though one possibility is training workforces to be more strategic. But the findings could significantly affect our understanding of diseases involving dopamine, such as schizophrenia, as well as disorders of social interaction, such as autism.
“When people talk about dopamine dysfunction, schizophrenia is one of the first diseases that come to mind,” Hsu said, noting that the disease involves a very complex pattern of social and decision making deficits. “To the degree that we can better understand ubiquitous social interactions in strategic settings, it may help us understand how to characterize and eventually treat the social deficits that are symptoms of diseases like schizophrenia.”
Hsu, UIUC graduate student Eric Set and their colleagues, including Richard P. Ebstein and Soo Hong Chew from the National University of Singapore, will publish their findings the week of June 16 in the online early edition of the Proceedings of the National Academy of Sciences.
Two brain areas involved in competition
Hsu established two years ago that when people engage in competitive social interactions, such as betting games, they primarily call upon two areas of the brain: the medial prefrontal cortex, which is the executive part of the brain, and the striatum, which deals with motivation and is crucial for learning to acquire rewards. Functional magnetic resonance imaging (fMRI) scans showed that people playing these games displayed intense activity in these areas.
“If you think of the brain as a computing machine, these are areas that take inputs, crank them through an algorithm, and translate them into behavioral outputs,” Hsu said. “What is really interesting about these areas is that both are innervated by neurons that use dopamine.”
Hsu and Set of UIUC’s Department of Economics wanted to determine which genes involved in regulating dopamine concentrations in these brain areas were associated with strategic thinking, so they enlisted as subjects a group of 217 undergraduates at the National University of Singapore, all of whom had had their genomes scanned for some 700,000 genetic variants. The researchers focused on only 143 variants within 12 genes involved in regulating dopamine. Some of the 12 are primarily involved in regulating dopamine in the prefrontal cortex, while others primarily regulate dopamine in the striatum.
The competition was a game called patent race, commonly used by social scientists to study social interactions. It involves one person betting, via computer, with an anonymous opponent.
“We know from brain imaging studies that when people compete against one another, they actually engage in two distinct types of learning processes,” Set said, referring to Hsu’s 2012 study. “One type involves learning purely from the consequences of your own actions, called reinforcement learning. The other is a bit more sophisticated, called belief learning, where people try to make a mental model of the other players, in order to anticipate and respond to their actions.”
Trial-and-error learning vs belief learning
Using a mathematical model of brain function during competitive social interactions, Hsu and Set correlated performance in reinforcement learning and belief learning with different variants or mutations of the 12 dopamine-related genes, and discovered a distinct difference.
They found that differences in belief learning – the degree to which players were able to anticipate and respond to the actions of others, or to imagine what their competitor is thinking and respond strategically – was associated with variation in three genes which primarily affect dopamine functioning in the medial prefrontal cortex.
In contrast, differences in trial-and-error reinforcement learning – how quickly they forget past experiences and how quickly they change strategy – was associated with variation in two genes that primarily affect striatal dopamine.
Hsu said that the findings correlate well with previous brain studies showing that the prefrontal cortex is involved in belief learning, while the striatum is involved in reinforcement learning.
“We were surprised by the degree of overlap, but it hints at the power of studying the neural and genetic levels under a single mathematical framework, which is only beginning in this area,” he said.
Hsu is currently collaborating with other scientists to correlate career achievements in older adults with genes and performance on competitive games, to see which brain regions and types of learning are most important for different kinds of success in life.

(Image caption: Brain scans show high activity in the medial prefrontal cortex (top) and striatum (bottom) while playing a competitive game. UC Berkeley and UIUC researchers have now found genetic variations in dopamine-regulating genes in the prefrontal cortex and striatum associated with differences in belief learning and reinforcement learning, respectively. Credit: Ming Hsu)

Your genes affect your betting behavior

Investors and gamblers take note: your betting decisions and strategy are determined, in part, by your genes.

Researchers from the University of California, Berkeley, National University of Singapore and University of Illinois at Urbana-Champaign (UIUC) have shown that betting decisions in a simple competitive game are influenced by the specific variants of dopamine-regulating genes in a person’s brain.

Dopamine is a neurotransmitter – a chemical released by brain cells to signal other brain cells – that is a key part of the brain’s reward and pleasure-seeking system. Dopamine deficiency leads to Parkinson’s disease, while disruption of the dopamine network is linked to numerous psychiatric and neurodegenerative disorders, including schizophrenia, depression and dementia.

While previous studies have shown the important role of the neurotransmitter dopamine in social interactions, this is the first study tying these interactions to specific genes that govern dopamine functioning.

“This study shows that genes influence complex social behavior, in this case strategic behavior,” said study leader Ming Hsu, an assistant professor of marketing in UC Berkeley’s Haas School of Business and a member of the Helen Wills Neuroscience Institute. “We now have some clues about the neural mechanisms through which our genes affect behavior.”

The implications for business are potentially vast but unclear, Hsu said, though one possibility is training workforces to be more strategic. But the findings could significantly affect our understanding of diseases involving dopamine, such as schizophrenia, as well as disorders of social interaction, such as autism.

“When people talk about dopamine dysfunction, schizophrenia is one of the first diseases that come to mind,” Hsu said, noting that the disease involves a very complex pattern of social and decision making deficits. “To the degree that we can better understand ubiquitous social interactions in strategic settings, it may help us understand how to characterize and eventually treat the social deficits that are symptoms of diseases like schizophrenia.”

Hsu, UIUC graduate student Eric Set and their colleagues, including Richard P. Ebstein and Soo Hong Chew from the National University of Singapore, will publish their findings the week of June 16 in the online early edition of the Proceedings of the National Academy of Sciences.

Two brain areas involved in competition

Hsu established two years ago that when people engage in competitive social interactions, such as betting games, they primarily call upon two areas of the brain: the medial prefrontal cortex, which is the executive part of the brain, and the striatum, which deals with motivation and is crucial for learning to acquire rewards. Functional magnetic resonance imaging (fMRI) scans showed that people playing these games displayed intense activity in these areas.

“If you think of the brain as a computing machine, these are areas that take inputs, crank them through an algorithm, and translate them into behavioral outputs,” Hsu said. “What is really interesting about these areas is that both are innervated by neurons that use dopamine.”

Hsu and Set of UIUC’s Department of Economics wanted to determine which genes involved in regulating dopamine concentrations in these brain areas were associated with strategic thinking, so they enlisted as subjects a group of 217 undergraduates at the National University of Singapore, all of whom had had their genomes scanned for some 700,000 genetic variants. The researchers focused on only 143 variants within 12 genes involved in regulating dopamine. Some of the 12 are primarily involved in regulating dopamine in the prefrontal cortex, while others primarily regulate dopamine in the striatum.

The competition was a game called patent race, commonly used by social scientists to study social interactions. It involves one person betting, via computer, with an anonymous opponent.

“We know from brain imaging studies that when people compete against one another, they actually engage in two distinct types of learning processes,” Set said, referring to Hsu’s 2012 study. “One type involves learning purely from the consequences of your own actions, called reinforcement learning. The other is a bit more sophisticated, called belief learning, where people try to make a mental model of the other players, in order to anticipate and respond to their actions.”

Trial-and-error learning vs belief learning

Using a mathematical model of brain function during competitive social interactions, Hsu and Set correlated performance in reinforcement learning and belief learning with different variants or mutations of the 12 dopamine-related genes, and discovered a distinct difference.

They found that differences in belief learning – the degree to which players were able to anticipate and respond to the actions of others, or to imagine what their competitor is thinking and respond strategically – was associated with variation in three genes which primarily affect dopamine functioning in the medial prefrontal cortex.

In contrast, differences in trial-and-error reinforcement learning – how quickly they forget past experiences and how quickly they change strategy – was associated with variation in two genes that primarily affect striatal dopamine.

Hsu said that the findings correlate well with previous brain studies showing that the prefrontal cortex is involved in belief learning, while the striatum is involved in reinforcement learning.

“We were surprised by the degree of overlap, but it hints at the power of studying the neural and genetic levels under a single mathematical framework, which is only beginning in this area,” he said.

Hsu is currently collaborating with other scientists to correlate career achievements in older adults with genes and performance on competitive games, to see which brain regions and types of learning are most important for different kinds of success in life.

Filed under dopamine genes prefrontal cortex striatum learning neuroscience science

345 notes

ucsdhealthsciences:

Getting Rid of Old MitochondriaSome neurons turn to neighbors to help take out the trash
It’s broadly assumed that cells degrade and recycle their own old or damaged organelles, but researchers at University of California, San Diego School of Medicine, The Johns Hopkins University School of Medicine and Kennedy Krieger Institute have discovered that some neurons transfer unwanted mitochondria – the tiny power plants inside cells – to supporting glial cells called astrocytes for disposal. 
The findings, published in the June 17 online Early Edition of PNAS, suggest some basic biology may need revising, but they also have potential implications for improving the understanding and treatment of many neurodegenerative and metabolic disorders.
“It does call into question the conventional assumption that cells necessarily degrade their own organelles. We don’t yet know how generalized this process is throughout the brain, but our work suggests it’s probably widespread,” said Mark H. Ellisman, PhD, Distinguished Professor of Neurosciences, director of the National Center for Microscopy and Imaging Research (NCMIR) at UC San Diego and co-senior author of the study with Nicholas Marsh-Armstrong, PhD, in the Department of Neuroscience at Johns Hopkins University and the Hugo W. Moser Research Institute at Kennedy Krieger Institute in Baltimore.
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ucsdhealthsciences:

Getting Rid of Old Mitochondria
Some neurons turn to neighbors to help take out the trash

It’s broadly assumed that cells degrade and recycle their own old or damaged organelles, but researchers at University of California, San Diego School of Medicine, The Johns Hopkins University School of Medicine and Kennedy Krieger Institute have discovered that some neurons transfer unwanted mitochondria – the tiny power plants inside cells – to supporting glial cells called astrocytes for disposal. 

The findings, published in the June 17 online Early Edition of PNAS, suggest some basic biology may need revising, but they also have potential implications for improving the understanding and treatment of many neurodegenerative and metabolic disorders.

“It does call into question the conventional assumption that cells necessarily degrade their own organelles. We don’t yet know how generalized this process is throughout the brain, but our work suggests it’s probably widespread,” said Mark H. Ellisman, PhD, Distinguished Professor of Neurosciences, director of the National Center for Microscopy and Imaging Research (NCMIR) at UC San Diego and co-senior author of the study with Nicholas Marsh-Armstrong, PhD, in the Department of Neuroscience at Johns Hopkins University and the Hugo W. Moser Research Institute at Kennedy Krieger Institute in Baltimore.

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ucsdhealthsciences:

How Our Brains Store Recent Memories, Cell by Single CellFindings may shed light on how to treat neurological conditions like Alzheimer’s and epilepsy
Confirming what neurocomputational theorists have long suspected, researchers at the Dignity Health Barrow Neurological Institute in Phoenix, Ariz. and University of California, San Diego School of Medicine report that the human brain locks down episodic memories in the hippocampus, committing each recollection to a distinct, distributed fraction of individual cells.
The findings, published in the June 16 Early Edition of PNAS, further illuminate the neural basis of human memory and may, ultimately, shed light on new treatments for diseases and conditions that adversely affect it, such as Alzheimer’s disease and epilepsy.
“To really understand how the brain represents memory, we must understand how memory is represented by the fundamental computational units of the brain – single neurons – and their networks,” said Peter N. Steinmetz, MD, PhD, program director of neuroengineering at Barrow and senior author of the study. “Knowing the mechanism of memory storage and retrieval is a critical step in understanding how to better treat the dementing illnesses affecting our growing elderly population.”
Steinmetz, with first author John T. Wixted, PhD, Distinguished Professor of Psychology, Larry R. Squire, PhD, professor in the departments of neurosciences, psychiatry and psychology, both at UC San Diego, and colleagues, assessed nine patients with epilepsy whose brains had been implanted with electrodes to monitor seizures. The monitoring recorded activity at the level of single neurons.
The patients memorized a list of words on a computer screen, then viewed a second, longer list that contained those words and others. They were asked to identify words they had seen earlier, and to indicate how well they remembered them. The observed difference in the cell-firing activity between words seen on the first list and those not on the list clearly indicated that cells in the hippocampus were representing the patients’ memories of the words.
The researchers found that recently viewed words were stored in a distributed fashion throughout the hippocampus, with a small fraction of cells, about 2 percent, responding to any one word and a small fraction of words, about 3 percent, producing a strong change in firing in these cells.
"Intuitively, one might expect to find that any neuron that responds to one item from the list would also respond to the other items from the list, but our results did not look anything like that. The amazing thing about these counterintuitive findings is that they could not be more in line with what influential neurocomputational theorists long ago predicted must be true," said Wixted.
Although only a small fraction of cells coded recent memory for any one word, the scientists said the absolute number of cells coding memory for each word was large nonetheless – on the order of hundreds of thousands at least. Thus, the loss of any one cell, they noted, would have a negligible impact on a person’s ability to remember specific words recently seen.
Ultimately, the scientists said their goal is to fully understand how the human brain forms and represents memories of places and things in everyday life, which cells are involved and how those cells are affected by illness and disease. The researchers will next attempt to determine whether similar coding is involved in memories of pictures of people and landmarks and how hippocampal cells representing memory are impacted in patients with more severe forms of epilepsy.
Pictured: Human neuron showing actin formation in response to stimulation. Michael A. Colicos, UC San Diego

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How Our Brains Store Recent Memories, Cell by Single Cell
Findings may shed light on how to treat neurological conditions like Alzheimer’s and epilepsy

Confirming what neurocomputational theorists have long suspected, researchers at the Dignity Health Barrow Neurological Institute in Phoenix, Ariz. and University of California, San Diego School of Medicine report that the human brain locks down episodic memories in the hippocampus, committing each recollection to a distinct, distributed fraction of individual cells.

The findings, published in the June 16 Early Edition of PNAS, further illuminate the neural basis of human memory and may, ultimately, shed light on new treatments for diseases and conditions that adversely affect it, such as Alzheimer’s disease and epilepsy.

“To really understand how the brain represents memory, we must understand how memory is represented by the fundamental computational units of the brain – single neurons – and their networks,” said Peter N. Steinmetz, MD, PhD, program director of neuroengineering at Barrow and senior author of the study. “Knowing the mechanism of memory storage and retrieval is a critical step in understanding how to better treat the dementing illnesses affecting our growing elderly population.”

Steinmetz, with first author John T. Wixted, PhD, Distinguished Professor of Psychology, Larry R. Squire, PhD, professor in the departments of neurosciences, psychiatry and psychology, both at UC San Diego, and colleagues, assessed nine patients with epilepsy whose brains had been implanted with electrodes to monitor seizures. The monitoring recorded activity at the level of single neurons.

The patients memorized a list of words on a computer screen, then viewed a second, longer list that contained those words and others. They were asked to identify words they had seen earlier, and to indicate how well they remembered them. The observed difference in the cell-firing activity between words seen on the first list and those not on the list clearly indicated that cells in the hippocampus were representing the patients’ memories of the words.

The researchers found that recently viewed words were stored in a distributed fashion throughout the hippocampus, with a small fraction of cells, about 2 percent, responding to any one word and a small fraction of words, about 3 percent, producing a strong change in firing in these cells.

"Intuitively, one might expect to find that any neuron that responds to one item from the list would also respond to the other items from the list, but our results did not look anything like that. The amazing thing about these counterintuitive findings is that they could not be more in line with what influential neurocomputational theorists long ago predicted must be true," said Wixted.

Although only a small fraction of cells coded recent memory for any one word, the scientists said the absolute number of cells coding memory for each word was large nonetheless – on the order of hundreds of thousands at least. Thus, the loss of any one cell, they noted, would have a negligible impact on a person’s ability to remember specific words recently seen.

Ultimately, the scientists said their goal is to fully understand how the human brain forms and represents memories of places and things in everyday life, which cells are involved and how those cells are affected by illness and disease. The researchers will next attempt to determine whether similar coding is involved in memories of pictures of people and landmarks and how hippocampal cells representing memory are impacted in patients with more severe forms of epilepsy.

Pictured: Human neuron showing actin formation in response to stimulation. Michael A. Colicos, UC San Diego

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Hunting down the trigger for Parkinson’s: failing dopamine pump damages brain cells

A study group at the Medical University of Vienna’s Centre for Brain Research has investigated the function of an intracellular dopamine pump in Parkinson’s patients compared to a healthy test group. It turned out that this pump is less effective at pumping out dopamine and storing it in the brain cells of Parkinson’s sufferers. If dopamine is not stored correctly, however, it can cause self-destruction of the affected nerve cells.

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In the brain, dopamine mediates the exchange of information between different neurons and, to help it do this, it is continuously reformed at the contact points between the corresponding nerve cells. It is stored in structures known as vesicles (intracellular bubbles) and it is released when required. In people with Parkinson’s disease, the death of these nerve cells causes a lack of dopamine, and this in turn causes the familiar movement problems such as motor retardation, stiffness of the muscles and tremors.

More than 50 years ago, in the Institute of Pharmacology at the University of Vienna (now the MedUni Vienna), Herbert Ehringer and Oleh Hornykiewicz discovered that Parkinson’s disease is caused by a lack of dopamine in certain regions of the brain. This discovery enabled Hornykiewicz to introduce the amino acid L-DOPA into the treatment of Parkinson’s to substitute the dopamine and make the symptoms of the condition manageable for years.

The reasons for the death of nerve cells in Parkinson’s disease are not yet fully understood, however, which is why it is still not possible to prevent the disease from developing. Nevertheless, dopamine itself, if it is not stored correctly in vesicles, can cause self-destruction of the affected nerve cells.

Now, a further step forward has been taken in the research into the causes of this disease: a study at the MedUni Vienna’s Centre for Brain Research, led by Christian Pifl and the now 87-year-old Oleh Hornykiewicz, compared the brains of deceased Parkinson’s patients with those of a neurologically healthy control group. For the first time, it was possible to prepare the dopamine-storing vesicles from the brains so that their ability to store dopamine by pumping it in could be measured in quantitative terms.

It turned out that the pumps in the vesicles of Parkinson’s sufferers pumped the dopamine out less efficiently. “This pump deficiency and the associated reduction in dopamine storage capacity of the Parkinson’s vesicles could lead to dopamine collecting in the nerve cells, developing its toxic effect and destroying the nerve cells,” explains Christian Pifl.

(Source: meduniwien.ac.at)

Filed under parkinson's disease dopamine striatum nerve cells neuroscience science

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Anxious Children have Bigger “Fear Centers” in the Brain

The amygdala is a key “fear center” in the brain. Alterations in the development of the amygdala during childhood may have an important influence on the development of anxiety problems, reports a new study in the current issue of Biological Psychiatry.

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Researchers at the Stanford University School of Medicine recruited 76 children, 7 to 9 years of age, a period when anxiety-related traits and symptoms can first be reliably identified. The children’s parents completed assessments designed to measure the anxiety levels of the children, and the children then underwent non-invasive magnetic resonance imaging (MRI) scans of brain structure and function.

The researchers found that children with high levels of anxiety had enlarged amygdala volume and increased connectivity with other brain regions responsible for attention, emotion perception, and regulation, compared to children with low levels of anxiety. They also developed an equation that reliably predicted the children’s anxiety level from the MRI measurements of amygdala volume and amygdala functional connectivity.

The most affected region was the basolateral portion of the amygdala, a subregion of the amygdala implicated in fear learning and the processing of emotion-related information.

“It is a bit surprising that alterations to the structure and connectivity of the amygdala were so significant in children with higher levels of anxiety, given both the young age of the children and the fact that their anxiety levels were too low to be observed clinically,” commented Dr. Shaozheng Qin, first author on this study.

Dr. John Krystal, Editor of Biological Psychiatry, commented, “It is critical that we move from these interesting cross-sectional observations to longitudinal studies, so that we can separate the extent to which larger and better connected amygdalae are risk factors or consequences of increased childhood anxiety.”

“However, our study represents an important step in characterizing altered brain systems and developing predictive biomarkers in the identification for young children at risk for anxiety disorders,” Qin added. “Understanding the influence of childhood anxiety on specific amygdala circuits, as identified in our study, will provide important new insights into the neurodevelopmental origins of anxiety in humans.”

(Source: elsevier.com)

Filed under amygdala anxiety fear children emotion psychology neuroscience science

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