Neuroscience

Articles and news from the latest research reports.

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Female frogs prefer males who can multitask

From frogs to humans, selecting a mate is complicated. Females of many species judge suitors based on many indicators of health or parenting potential. But it can be difficult for males to produce multiple signals that demonstrate these qualities simultaneously.

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In a study of gray tree frogs, a team of University of Minnesota researchers discovered that females prefer males whose calls reflect the ability to multitask effectively. In this species (Hyla chrysoscelis) males produce “trilled” mating calls that consist of a string of pulses.

Typical calls can range in duration from 20-40 pulses per call and occur between 5-15 calls per minute. Males face a trade-off between call duration and call rate, but females preferred calls that are longer and more frequent, which is no simple task.

The findings were published in August issue of Animal Behavior.

"It’s kind of like singing and dancing at the same time," says Jessica Ward, a postdoctoral researcher who is lead author for the study. Ward works in the laboratory of Mark Bee, a professor in the College of Biological Sciences’ Department of Ecology, Evolution and Behavior.

The study supports the multitasking hypothesis, which suggests that females prefer males who can do two or more hard-to-do things at the same time because these are especially good quality males, Ward says. The hypothesis, which explores how multiple signals produced by males influence female behavior, is a new area of interest in animal behavior research.

By listening to recordings of 1,000 calls, Ward and colleagues learned that males are indeed forced to trade off call duration and call rate. That is, males that produce relatively longer calls only do so at relatively slower rates.

"It’s easy to imagine that we humans might also prefer multitasking partners, such as someone who can successfully earn a good income, cook dinner, manage the finances and get the kids to soccer practice on time."

The study was carried out in connection with Bee’s research goal, which is understanding how female frogs are able to distinguish individual mating calls from a large chorus of males. By comparison, humans, especially as we age, lose the ability to distinguish individual voices in a crowd. This phenomenon, called the “cocktail party” problem, is often the first sign of a diminishing ability to hear. Understanding how frogs hear could lead to improved hearing aids.

(Source: www1.umn.edu)

Filed under multitasking mating frogs animal behavior psychology neuroscience science

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Autistic kids who best peers at math show different brain organization 
Children with autism and average IQs consistently demonstrated superior math skills compared with nonautistic children in the same IQ range, according to a study by researchers at the Stanford University School of Medicine and Lucile Packard Children’s Hospital.
“There appears to be a unique pattern of brain organization that underlies superior problem-solving abilities in children with autism,” said Vinod Menon, PhD, professor of psychiatry and behavioral sciences and a member of the Child Health Research Institute at Packard Children’s.
The autistic children’s enhanced math abilities were tied to patterns of activation in a particular area of their brains — an area normally associated with recognizing faces and visual objects.
Menon is senior author of the study, published online Aug. 17 in Biological Psychiatry. Postdoctoral scholar Teresa luculano, PhD, is the lead author.
Children with autism have difficulty with social interactions, especially interpreting nonverbal cues in face-to-face conversations. They often engage in repetitive behaviors and have a restricted range of interests.
But in addition to such deficits, children with autism sometimes exhibit exceptional skills or talents, known as savant abilities. For example, some can instantly recall the day of the week of any calendar date within a particular range of years — for example, that May 21, 1982, was a Friday. And some display superior mathematical skills.
“Remembering calendar dates is probably not going to help you with academic and professional success,” Menon said. “But being able to solve numerical problems and developing good mathematical skills could make a big difference in the life of a child with autism.”
The idea that people with autism could employ such skills in jobs, and get satisfaction from doing so, has been gaining ground in recent years.
The participants in the study were 36 children, ages 7 to 12. Half had been diagnosed with autism. The other half was the control group. Each group had 14 boys and four girls. (Autism disproportionately affects boys.) All participants had IQs in the normal range and showed normal verbal and reading skills on standardized tests administered as part of the recruitment process for the study. But on the standardized math tests that were administered, the children with autism outperformed children in the control group.
After the math test, researchers interviewed the children to assess which types of problem-solving strategies each had used: Simply remembering an answer they already knew; counting on their fingers or in their heads; or breaking the problem down into components — a comparatively sophisticated method called decomposition. The children with autism displayed greater use of decomposition strategies, suggesting that more analytic strategies, rather than rote memory, were the source of their enhanced abilities.
Then, the children worked on solving math problems while their brain activity was measured in an MRI scanner, in which they had to lie down and remain still. The brain scans of the autistic children revealed an unusual pattern of activity in the ventral temporal occipital cortex, an area specialized for processing visual objects, including faces.
“Our findings suggest that altered patterns of brain organization in areas typically devoted to face processing may underlie the ability of children with autism to develop specialized skills in numerical problem solving,” Iuculano said.
“These findings not only empirically confirm that high-functioning children with autism have especially strong number-problem-solving abilities, but show that this cognitive strength in math is based on different patterns of functional brain organization,” said Carl Feinstein, MD, director of the Center for Autism and Related Disorders at Packard Children’s and professor of psychiatry and behavioral sciences at the School of Medicine. He was not involved in the study.
Menon added that previous research “has focused almost exclusively on weaknesses in children with autism. Our study supports the idea that the atypical brain development in autism can lead, not just to deficits, but also to some remarkable cognitive strengths. We think this can be reassuring to parents.”
The research team is now gathering data from a larger group of children with autism to learn more about individual differences in their mathematical abilities. Menon emphasized that not all children with autism have superior math abilities, and that understanding the neural basis of variations in problem-solving abilities is an important topic for future research.
(Image: Corbis)

Autistic kids who best peers at math show different brain organization

Children with autism and average IQs consistently demonstrated superior math skills compared with nonautistic children in the same IQ range, according to a study by researchers at the Stanford University School of Medicine and Lucile Packard Children’s Hospital.

“There appears to be a unique pattern of brain organization that underlies superior problem-solving abilities in children with autism,” said Vinod Menon, PhD, professor of psychiatry and behavioral sciences and a member of the Child Health Research Institute at Packard Children’s.

The autistic children’s enhanced math abilities were tied to patterns of activation in a particular area of their brains — an area normally associated with recognizing faces and visual objects.

Menon is senior author of the study, published online Aug. 17 in Biological Psychiatry. Postdoctoral scholar Teresa luculano, PhD, is the lead author.

Children with autism have difficulty with social interactions, especially interpreting nonverbal cues in face-to-face conversations. They often engage in repetitive behaviors and have a restricted range of interests.

But in addition to such deficits, children with autism sometimes exhibit exceptional skills or talents, known as savant abilities. For example, some can instantly recall the day of the week of any calendar date within a particular range of years — for example, that May 21, 1982, was a Friday. And some display superior mathematical skills.

“Remembering calendar dates is probably not going to help you with academic and professional success,” Menon said. “But being able to solve numerical problems and developing good mathematical skills could make a big difference in the life of a child with autism.”

The idea that people with autism could employ such skills in jobs, and get satisfaction from doing so, has been gaining ground in recent years.

The participants in the study were 36 children, ages 7 to 12. Half had been diagnosed with autism. The other half was the control group. Each group had 14 boys and four girls. (Autism disproportionately affects boys.) All participants had IQs in the normal range and showed normal verbal and reading skills on standardized tests administered as part of the recruitment process for the study. But on the standardized math tests that were administered, the children with autism outperformed children in the control group.

After the math test, researchers interviewed the children to assess which types of problem-solving strategies each had used: Simply remembering an answer they already knew; counting on their fingers or in their heads; or breaking the problem down into components — a comparatively sophisticated method called decomposition. The children with autism displayed greater use of decomposition strategies, suggesting that more analytic strategies, rather than rote memory, were the source of their enhanced abilities.

Then, the children worked on solving math problems while their brain activity was measured in an MRI scanner, in which they had to lie down and remain still. The brain scans of the autistic children revealed an unusual pattern of activity in the ventral temporal occipital cortex, an area specialized for processing visual objects, including faces.

“Our findings suggest that altered patterns of brain organization in areas typically devoted to face processing may underlie the ability of children with autism to develop specialized skills in numerical problem solving,” Iuculano said.

“These findings not only empirically confirm that high-functioning children with autism have especially strong number-problem-solving abilities, but show that this cognitive strength in math is based on different patterns of functional brain organization,” said Carl Feinstein, MD, director of the Center for Autism and Related Disorders at Packard Children’s and professor of psychiatry and behavioral sciences at the School of Medicine. He was not involved in the study.

Menon added that previous research “has focused almost exclusively on weaknesses in children with autism. Our study supports the idea that the atypical brain development in autism can lead, not just to deficits, but also to some remarkable cognitive strengths. We think this can be reassuring to parents.”

The research team is now gathering data from a larger group of children with autism to learn more about individual differences in their mathematical abilities. Menon emphasized that not all children with autism have superior math abilities, and that understanding the neural basis of variations in problem-solving abilities is an important topic for future research.

(Image: Corbis)

Filed under autism ASD mathematical skills brain differences brain activity neuroimaging neuroscience psychology science

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Remembering to Remember Supported by Two Distinct Brain Processes
You plan on shopping for groceries later and you tell yourself that you have to remember to take the grocery bags with you when you leave the house. Lo and behold, you reach the check-out counter and you realize you’ve forgotten the bags.
Remembering to remember — whether it’s grocery bags, appointments, or taking medications — is essential to our everyday lives. New research sheds light on two distinct brain processes that underlie this type of memory, known as prospective memory.
The research is published in Psychological Science, a journal of the Association for Psychological Science.
To investigate how prospective memory is processed in the brain, psychological scientist Mark McDaniel of Washington University in St. Louis and colleagues had participants lie in an fMRI scanner and asked them to press one of two buttons to indicate whether a  word that popped up on a screen was a member of a designated category. In addition to this ongoing activity, participants were asked to try to remember to press a third button whenever a special target popped up. The task was designed to tap into participants’ prospective memory, or their ability to remember to take certain actions in response to specific future events.
When McDaniel and colleagues analyzed the fMRI data, they observed that two distinct brain activation patterns emerged when participants made the correct button press for a special target.
When the special target was not relevant to the ongoing activity — such as a syllable like “tor” — participants seemed to rely on top-down brain processes supported by the prefrontal cortex. In order to answer correctly when the special syllable flashed up on the screen, the participants had to sustain their attention and monitor for the special syllable throughout the entire task. In the grocery bag scenario, this would be like remembering to bring the grocery bags by constantly reminding yourself that you can’t forget them.
When the special target was integral to the ongoing activity—such as a whole word, like “table” — participants recruited a different set of brain regions, and they didn’t show sustained activation in these regions. The findings suggest that remembering what to do when the special target was a whole word didn’t require the same type of top-down monitoring. Instead, the target word seemed to act as an environmental cue that prompted participants to make the appropriate response – like reminding yourself to bring the grocery bags by leaving them near the front door.
“These findings suggest that people could make use of several different strategies to accomplish prospective memory tasks,” says McDaniel.
McDaniel and colleagues are continuing their research on prospective memory, examining how this phenomenon might change with age.
(Image: Shutterstock)

Remembering to Remember Supported by Two Distinct Brain Processes

You plan on shopping for groceries later and you tell yourself that you have to remember to take the grocery bags with you when you leave the house. Lo and behold, you reach the check-out counter and you realize you’ve forgotten the bags.

Remembering to remember — whether it’s grocery bags, appointments, or taking medications — is essential to our everyday lives. New research sheds light on two distinct brain processes that underlie this type of memory, known as prospective memory.

The research is published in Psychological Science, a journal of the Association for Psychological Science.

To investigate how prospective memory is processed in the brain, psychological scientist Mark McDaniel of Washington University in St. Louis and colleagues had participants lie in an fMRI scanner and asked them to press one of two buttons to indicate whether a  word that popped up on a screen was a member of a designated category. In addition to this ongoing activity, participants were asked to try to remember to press a third button whenever a special target popped up. The task was designed to tap into participants’ prospective memory, or their ability to remember to take certain actions in response to specific future events.

When McDaniel and colleagues analyzed the fMRI data, they observed that two distinct brain activation patterns emerged when participants made the correct button press for a special target.

When the special target was not relevant to the ongoing activity — such as a syllable like “tor” — participants seemed to rely on top-down brain processes supported by the prefrontal cortex. In order to answer correctly when the special syllable flashed up on the screen, the participants had to sustain their attention and monitor for the special syllable throughout the entire task. In the grocery bag scenario, this would be like remembering to bring the grocery bags by constantly reminding yourself that you can’t forget them.

When the special target was integral to the ongoing activity—such as a whole word, like “table” — participants recruited a different set of brain regions, and they didn’t show sustained activation in these regions. The findings suggest that remembering what to do when the special target was a whole word didn’t require the same type of top-down monitoring. Instead, the target word seemed to act as an environmental cue that prompted participants to make the appropriate response – like reminding yourself to bring the grocery bags by leaving them near the front door.

“These findings suggest that people could make use of several different strategies to accomplish prospective memory tasks,” says McDaniel.

McDaniel and colleagues are continuing their research on prospective memory, examining how this phenomenon might change with age.

(Image: Shutterstock)

Filed under prospective memory fMRI brain activity prefrontal cortex memory psychology neuroscience science

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Making the Brain Take Notice of Faces in Autism

A new study in Biological Psychiatry explores the influence of oxytocin

Difficulty in registering and responding to the facial expressions of other people is a hallmark of autism spectrum disorder (ASD). Relatedly, functional imaging studies have shown that individuals with ASD display altered brain activations when processing facial images.

The hormone oxytocin plays a vital role in the social interactions of both animals and humans. In fact, multiple studies conducted with healthy volunteers have provided evidence for beneficial effects of oxytocin in terms of increased trust, improved emotion recognition, and preference for social stimuli.

This combination of scientific work led German researchers to hypothesize about the influence of oxytocin in ASD. Dr. Gregor Domes, from the University of Freiburg and first author of the new study, explained: “In the present study, we were interested in the question of whether a single dose of oxytocin would change brain responses to social compared to non-social stimuli in individuals with autism spectrum disorder.”

They found that oxytocin did show an effect on social processing in the individuals with ASD, “suggesting that oxytocin may help to treat a basic brain function that goes awry in autism spectrum disorders,” commented Dr. John Krystal, Editor of Biological Psychiatry.

To conduct this study, they recruited fourteen individuals with ASD and fourteen control volunteers, all of whom completed a face- and house-matching task while undergoing imaging scans. Each participant completed this task and scanning procedure twice, once after receiving a nasal spray containing oxytocin and once after receiving a nasal spray containing placebo. The order of the sprays was randomized, and the tests were administered one week apart.

Using two sets of stimuli in the matching task, one of faces and one of houses, allowed the researchers to not only compare the effects of the oxytocin and placebo administrations, but also allowed them to discriminate findings between specific effects to only social stimuli and non-specific effects to more general brain processing.

What they found was intriguing. The data indicate that oxytocin specifically increases responses of the amygdala to social stimuli in individuals with ASD. The amygdala, the authors explain, “has been associated with processing of emotional stimuli, threat-related stimuli, face processing, and vigilance for salient stimuli”.

This finding suggests oxytocin might promote the salience of social stimuli in ASD. Increased salience of social stimuli might support behavioral training of social skills in ASD.

These data support the idea that oxytocin may be a promising approach in the treatment of ASD and could stimulate further research, even clinical trials, on the exploration of oxytocin as an add-on treatment for individuals with autism spectrum disorder.

(Source: alphagalileo.org)

Filed under oxytocin autism ASD amygdala face processing social cognition neuroscience science

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Cell memory mechanism discovered

The cells in our bodies can divide as often as once every 24 hours, creating a new, identical copy. DNA binding proteins called transcription factors are required for maintaining cell identity. They ensure that daughter cells have the same function as their mother cell, so that for example muscle cells can contract or pancreatic cells can produce insulin. However, each time a cell divides the specific binding pattern of the transcription factors is erased and has to be restored in both mother and daughter cells. Previously it was unknown how this process works, but now scientists at Karolinska Institutet have discovered the importance of particular protein rings encircling the DNA and how these function as the cell’s memory.

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The DNA in human cells is translated into a multitude of proteins required for a cell to function. When, where and how proteins are expressed is determined by regulatory DNA sequences and a group of proteins, known as transcription factors, that bind to these DNA sequences. Each cell type can be distinguished based on its transcription factors, and a cell can in certain cases be directly converted from one type to another, simply by changing the expression of one or more transcription factors. It is critical that the pattern of transcription factor binding in the genome be maintained. During each cell division, the transcription factors are removed from DNA and must find their way back to the right spot after the cell has divided. Despite many years of intense research, no general mechanism has been discovered which would explain how this is achieved.

"The problem is that there is so much DNA in a cell that it would be impossible for the transcription factors to find their way back within a reasonable time frame. But now we have found a possible mechanism for how this cellular memory works, and how it helps the cell remember the order that existed before the cell divided, helping the transcription factors find their correct places", explains Jussi Taipale, professor at Karolinska Institutet and the University of Helsinki, and head of the research team behind the discovery.

The results are now being published in the scientific journal Cell. The research group has produced the most complete map yet of transcription factors in a cell. They found that a large protein complex called cohesin is positioned as a ring around the two DNA strands that are formed when a cell divides, marking virtually all the places on the DNA where transcription factors were bound. Cohesin encircles the DNA strand as a ring does around a piece of string, and the protein complexes that replicate DNA can pass through the ring without displacing it. Since the two new DNA strands are caught in the ring, only one cohesin is needed to mark the two, thereby helping the transcription factors to find their original binding region on both DNA strands.

"More research is needed before we can be sure, but so far all experiments support our model," says Martin Enge, assistant professor at Karolinska Institutet.

Transcription factors play a pivotal role in many illnesses, including cancer as well as many hereditary diseases. The discovery that virtually all regulatory DNA sequences bind to cohesin may also end up having more direct consequences for patients with cancer or hereditary diseases. Cohesin would function as an indicator of which DNA sequences might contain disease-causing mutations.

"Currently we analyse DNA sequences that are directly located in genes, which constitute about three per cent of the genome. However, most mutations that have been shown to cause cancer are located outside of genes. We cannot analyse these in a reliable manner - the genome is simply too large. By only analysing DNA sequences that bind to cohesin, roughly one per cent of the genome, it would allow us to analyse an individual’s mutations and make it much easier to conduct studies to identify novel harmful mutations," Martin Enge concludes.

(Source: ki.se)

Filed under transcription factors DNA sequence hereditary diseases cohesin genetics neuroscience science

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Sympathetic Neurons Engage in “Cross Talk” With Cells in the Pancreas During Early Development

The human body is a complicated system of blood vessels, nerves, organs, tissue and cells each with a specific job to do. When all are working together, it’s a symphony of form and function as each instrument plays its intended roles.

Biologist Rejji Kuruvilla and her fellow researchers uncovered what happens when one instrument is not playing its part.

Kuruvilla along with graduate students Philip Borden and Jessica Houtz, both from the Biology Department at Johns Hopkins University’s Krieger School of Arts and Sciences, and Dr. Steven Leach from the McKusick-Nathans Institute of Genetic Medicine at the Johns Hopkins School of Medicine, recently published a paper in the journal Cell Reports exploring whether “cross-talk” or reciprocal signaling, takes place between the neurons in the sympathetic nervous system and the tissues that the nerves connect to. In this case the targeted tissue called islets, were in the pancreas.

“We knew that sympathetic neurons need molecular signals from the tissues that they connect with, to grow and survive,” said Kuruvilla. “What we did not know was whether the neurons would reciprocally signal to the target tissues to instruct them to grow and mature. It made sense to focus on the pancreas because of previous studies done in diabetic animal models where sympathetic nerves within the pancreas were found to retract early on in the disease, suggesting that dysfunction of the nerves could be an early trigger for pancreatic defects.”

The researchers spent approximately three years working with lab mice to test the various scenarios in which signaling between sympathetic neurons and islet cells might take place. The experiments focused on what effects removing the sympathetic nerves would have on pancreas development in newborn mice.

Previous studies had shown that pancreatic cells release a signal of their own, a nerve growth protein, that directs the sympathetic nerves toward the pancreas and provides necessary nutrition to sustain the nerves.

In turn, Kuruvilla’s team found that in mutant mice, the removal of the sympathetic neurons resulted in deformities in the architecture of the pancreatic islet cells and defects in insulin secretion and glucose metabolism.

Pancreatic islets are highly organized functional micro-organs with a defined size, shape and distinctive arrangement of endocrine cells. It’s this marriage of form and function that result in cells clustered close together, that creates greater, more efficient islet cell function.

However, the mutant mice, with their sympathetic neurons removed, had islet formations that were misshapen, sported lesions and developed in a patchy, uneven manner. Because of their dysfunctional islet cell development, postnatal mice did not secrete enough insulin when confronted with high glucose, and had high blood glucose levels as a result. Increased levels of blood glucose in humans is a hallmark of diabetes.

It’s known in neuroscience that the neurons in question from the sympathetic nervous system control the body’s “flight or fight” response and communicate with connected tissues by releasing a chemical messenger called norepinephrine. The release of norepinephrine also plays an important role in the development and maturation of islets, said Kuruvilla.

Using sympathetic neurons and islet cells grown together in a culture dish, the researchers observed that islet cells move toward the nerves and identified norepinephrine as the nerve signal that causes the movement of the islet cells.

“Seeing how these islet cells were responding to sympathetic neurons both in a dish and the effects of removing the nerves in a whole animal on islet shape and functions were pretty remarkable,” said Borden, lead author of the paper. “It was clear to us that sympathetic neurons were key to how islets were developing, something no one else had shown.”

Kuruvilla said these studies, identifying sympathetic nerves as a critical player in organizing pancreatic cells during development and influencing their later function, could add to a better understanding of treating diabetes in the future. The research also lends support to the value in considering the importance of external factors such as nerves and blood vessels when transplanting islet cells for the treatment of diabetes in patients.

“This study reveals interactions between two co-developing systems, sympathetic neurons and pancreatic islet cells, that has important implications for peripheral organ development, and for regeneration of these tissues following injury or disease,” said Kuruvilla.

(Source: releases.jhu.edu)

Filed under sympathetic nervous system sympathetic neurons pancreatic cells norepinephrine neuroscience science

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Imaging in mental health and improving the diagnostic process
What are some of the most troubling numbers in mental health? Six to 10 — the number of years it can take to properly diagnose a mental health condition. Dr. Elizabeth Osuch, a Researcher at Lawson Health Research Institute and a Psychiatrist at London Health Sciences Centre and the Department of Psychiatry at Western University, is helping to end misdiagnosis by looking for a ‘biomarker’ in the brain that will help diagnose and treat two commonly misdiagnosed disorders.
Major Depressive Disorder (MDD), otherwise known as Unipolar Disorder, and Bipolar Disorder (BD) are two common disorders. Currently, diagnosis is made by patient observation and verbal history. Mistakes are not uncommon, and patients can find themselves going from doctor to doctor receiving improper diagnoses and prescribed medications to little effect.
Dr. Osuch looked to identify a ‘biomarker’ in the brain which could help optimize the diagnostic process. She examined youth who were diagnosed with either MDD or BD (15 patients in each group) and imaged their brains with an MRI to see if there was a region of the brain which corresponded with the bipolarity index (BI). The BI is a diagnostic tool which encompasses varying degrees of bipolar disorder, identifying symptoms and behavior in order to place a patient on the spectrum.
What she found was the activation of the putamen correlated positively with BD. This is the region of the brain that controls motor skills, and has a strong link to reinforcement and reward. This speaks directly to the symptoms of bipolar disorder. “The identification of the putamen in our positive correlation may indicate a potential trait marker for the symptoms of mania in bipolar disorder,” states Dr. Osuch.
In order to reach this conclusion, the study approached mental health research from a different angle. “The unique aspect of this research is that, instead of dividing the patients by psychiatric diagnoses of bipolar disorder and unipolar depression, we correlated their functional brain images with a measure of bipolarity which spans across a spectrum of diagnoses.” Dr. Osuch explains, “This approach can help to uncover a ‘biomarker’ for bipolarity, independent of the current mood symptoms or mood state of the patient.”
Moving forward Dr. Osuch will repeat the study with more patients, seeking to prove that the activation of the putamen is the start of a trend in large numbers of patients. The hope is that one day there could be a definitive biological marker which could help differentiate the two disorders, leading to a faster diagnosis and optimal care.
In using a co-relative approach, a novel method in the field, Dr. Osuch uncovered results in patients that extend beyond verbal history and observation. These results may go on to change the way mental health is diagnosed, and subsequently treated, worldwide.

Imaging in mental health and improving the diagnostic process

What are some of the most troubling numbers in mental health? Six to 10 — the number of years it can take to properly diagnose a mental health condition. Dr. Elizabeth Osuch, a Researcher at Lawson Health Research Institute and a Psychiatrist at London Health Sciences Centre and the Department of Psychiatry at Western University, is helping to end misdiagnosis by looking for a ‘biomarker’ in the brain that will help diagnose and treat two commonly misdiagnosed disorders.

Major Depressive Disorder (MDD), otherwise known as Unipolar Disorder, and Bipolar Disorder (BD) are two common disorders. Currently, diagnosis is made by patient observation and verbal history. Mistakes are not uncommon, and patients can find themselves going from doctor to doctor receiving improper diagnoses and prescribed medications to little effect.

Dr. Osuch looked to identify a ‘biomarker’ in the brain which could help optimize the diagnostic process. She examined youth who were diagnosed with either MDD or BD (15 patients in each group) and imaged their brains with an MRI to see if there was a region of the brain which corresponded with the bipolarity index (BI). The BI is a diagnostic tool which encompasses varying degrees of bipolar disorder, identifying symptoms and behavior in order to place a patient on the spectrum.

What she found was the activation of the putamen correlated positively with BD. This is the region of the brain that controls motor skills, and has a strong link to reinforcement and reward. This speaks directly to the symptoms of bipolar disorder. “The identification of the putamen in our positive correlation may indicate a potential trait marker for the symptoms of mania in bipolar disorder,” states Dr. Osuch.

In order to reach this conclusion, the study approached mental health research from a different angle. “The unique aspect of this research is that, instead of dividing the patients by psychiatric diagnoses of bipolar disorder and unipolar depression, we correlated their functional brain images with a measure of bipolarity which spans across a spectrum of diagnoses.” Dr. Osuch explains, “This approach can help to uncover a ‘biomarker’ for bipolarity, independent of the current mood symptoms or mood state of the patient.”

Moving forward Dr. Osuch will repeat the study with more patients, seeking to prove that the activation of the putamen is the start of a trend in large numbers of patients. The hope is that one day there could be a definitive biological marker which could help differentiate the two disorders, leading to a faster diagnosis and optimal care.

In using a co-relative approach, a novel method in the field, Dr. Osuch uncovered results in patients that extend beyond verbal history and observation. These results may go on to change the way mental health is diagnosed, and subsequently treated, worldwide.

Filed under depression biomarker bipolar disorder neuroimaging psychology neuroscience science

86 notes

Worms May Shed Light on Human Ability to Handle Chronic Stress

New research at Rutgers University may help shed light on how and why nervous system changes occur and what causes some people to suffer from life-threatening anxiety disorders while others are better able to cope.

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Maureen Barr, a professor in the Department of Genetics, and a team of researchers, found that the architectural structure of the six sensory brain cells in the roundworm, responsible for receiving information, undergo major changes and become much more elaborate when the worm is put into a high stress environment.

Scientists have known for some time that changes in the tree-like dendrite structures that connect neurons in the human brain and enable our thought processes to work properly can occur under extreme stress, alter brain cell development and result in anxiety disorders like depression and Post Traumatic Stress Disorder affecting millions of Americans each year.

What scientists don’t understand for sure, Barr says, is the cause behind these molecular changes in the brain.

“This type of research provides us necessary clues that ultimately could lead to the development of drugs to help those suffering with severe anxiety disorders,” Barr says.

In the study published today in Current Biology, scientists at Rutgers have identified six sensory nerve cells in the tiny, transparent roundworm, known as the C. elegans and an enzyme called KPC-1/furin which triggers a chemical reaction in humans that is needed for essential life functions like blood-clotting. 

While the enzyme also appears to play a role in the growth of tumors and the activation of several types of virus and diseases in humans, in the roundworm the enzyme enables its simple neurons to morph into new elaborately branched shapes when placed under adverse conditions.

Normally, this one-millimeter long worm develops from an embryo through four larval stages before molting into a reproductive adult. Put it under stressful conditions of overcrowding, starvation and high temperature and the worm transforms into an alternative larval stage known as the dauer that becomes so stress-resistant it can survive almost anything – including the Space Shuttle Columbia disaster in 2003 of which they were the only living things to survive.  

“These worms that normally have a short life cycle turn into super worms when they go into the dauer stage and can live for months, although they are no longer able to reproduce,” Barr says.

What is so interesting to Barr is that when a perceived threat is over, these tiny creatures and their IL2 neurons transform back to a normal lifespan and reproductive state like nothing had ever happened. Under a microscope, the complicated looking tree-like connectors that receive information are pruned back and the worm appears as it did before the trauma occurred.

This type of neural reaction differs in humans who can suffer from extreme anxiety months or even years after the traumatic event even though they are no longer in a threatening situation.   

The ultimate goal, Barr says, is to determine how and why the nervous system responds to stress. By identifying molecular pathways that regulate neuronal remodeling, scientists may apply this knowledge to develop future therapeutics.

(Source: news.rutgers.edu)

Filed under chronic stress PTSD anxiety C. elegans KPC-1/furin neuroscience science

76 notes

Human eye movements for vision are remarkably adaptable

When something gets in the way of our ability to see, we quickly pick up a new way to look, in much the same way that we would learn to ride a bike, according to a new study published in the Cell Press journal Current Biology on August 15.

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Our eyes are constantly on the move, darting this way and that four to five times per second. Now researchers have found that the precise manner of those eye movements can change within a matter of hours. This discovery by researchers from the University of Southern California might suggest a way to help those with macular degeneration better cope with vision loss.

"The system that controls how the eyes move is far more malleable than the literature has suggested," says Bosco Tjan of the University of Southern California. "We showed that people with normal vision can quickly adjust to a temporary occlusion of their foveal vision by adapting a consistent point in their peripheral vision as their new point of gaze."

The fovea refers to the small, center-most portion of the retina, which is responsible for our high-resolution vision. We move our eyes to direct the fovea to different parts of a scene, constructing a picture of the world around us. In those with age-related macular degeneration, progressive loss of foveal vision leads to visual impairment and blindness.

In the new study, MiYoung Kwon, Anirvan Nandy, and Tjan simulated a loss of foveal vision in six normally sighted young adults by blocking part of a visual scene with a gray disc that followed the individuals’ eye gaze. Those individuals were then asked to complete demanding object-following and visual-search tasks. Within three hours of working on those tasks, people showed a remarkably fast and spontaneous adjustment of eye movements. Once developed, that change in their “point of gaze” was retained over a period of weeks and was reengaged whenever their foveal vision was blocked.

Tjan and his team say they were surprised by the rate of this adjustment. They note that patients with macular degeneration frequently do adapt their point of gaze, but in a process that takes months, not days or hours. They suggest that practice with a visible gray disc like the one used in the study might help speed that process of visual rehabilitation along. The discovery also reveals that the oculomotor (eye movement) system prefers control simplicity over optimality.

"Gaze control by the oculomotor system, although highly automatic, is malleable in the same sense that motor control of the limbs is malleable," Tjan says. "This finding is potentially very good news for people who lose their foveal vision due to macular diseases. It may be possible to create the right conditions for the oculomotor system to quickly adjust," Kwon adds.

(Source: eurekalert.org)

Filed under eye movements vision loss macular degeneration fovea foveal vision neuroscience science

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Dragonflies can see by switching “on” and “off”
Researchers at the University of Adelaide have discovered a novel and complex visual circuit in a dragonfly’s brain that could one day help to improve vision systems for robots.
Dr Steven Wiederman and Associate Professor David O’Carroll from the University’s Centre for Neuroscience Research have been studying the underlying processes of insect vision and applying that knowledge in robotics and artificial vision systems.
Their latest discovery, published this month in The Journal of Neuroscience, is that the brains of dragonflies combine opposite pathways - both an ON and OFF switch - when processing information about simple dark objects.
"To perceive the edges of objects and changes in light or darkness, the brains of many animals, including insects, frogs, and even humans, use two independent pathways, known as ON and OFF channels," says lead author Dr Steven Wiederman.
"Most animals will use a combination of ON switches with other ON switches in the brain, or OFF and OFF, depending on the circumstances. But what we show occurring in the dragonfly’s brain is the combination of both OFF and ON switches. This happens in response to simple dark objects, likely to represent potential prey to this aerial predator.
"Although we’ve found this new visual circuit in the dragonfly, it’s possible that many other animals could also have this circuit for perceiving various objects," Dr Wiederman says.
The researchers were able to record their results directly from ‘target-selective’ neurons in dragonflies’ brains. They presented the dragonflies with moving lights that changed in intensity, as well as both light and dark targets.
"We discovered that the responses to the dark targets were much greater than we expected, and that the dragonfly’s ability to respond to a dark moving target is from the correlation of opposite contrast pathways: OFF with ON," Dr Wiederman says.
"The exact mechanisms that occur in the brain for this to happen are of great interest in visual neurosciences generally, as well as for solving engineering applications in target detection and tracking. Understanding how visual systems work can have a range of outcomes, such as in the development of neural prosthetics and improvements in robot vision.
"A project is now underway at the University of Adelaide to translate much of the research we’ve conducted into a robot, to see if it can emulate the dragonfly’s vision and movement. This project is well underway and once complete, watching our autonomous dragonfly robot will be very exciting," he says.

Dragonflies can see by switching “on” and “off”

Researchers at the University of Adelaide have discovered a novel and complex visual circuit in a dragonfly’s brain that could one day help to improve vision systems for robots.

Dr Steven Wiederman and Associate Professor David O’Carroll from the University’s Centre for Neuroscience Research have been studying the underlying processes of insect vision and applying that knowledge in robotics and artificial vision systems.

Their latest discovery, published this month in The Journal of Neuroscience, is that the brains of dragonflies combine opposite pathways - both an ON and OFF switch - when processing information about simple dark objects.

"To perceive the edges of objects and changes in light or darkness, the brains of many animals, including insects, frogs, and even humans, use two independent pathways, known as ON and OFF channels," says lead author Dr Steven Wiederman.

"Most animals will use a combination of ON switches with other ON switches in the brain, or OFF and OFF, depending on the circumstances. But what we show occurring in the dragonfly’s brain is the combination of both OFF and ON switches. This happens in response to simple dark objects, likely to represent potential prey to this aerial predator.

"Although we’ve found this new visual circuit in the dragonfly, it’s possible that many other animals could also have this circuit for perceiving various objects," Dr Wiederman says.

The researchers were able to record their results directly from ‘target-selective’ neurons in dragonflies’ brains. They presented the dragonflies with moving lights that changed in intensity, as well as both light and dark targets.

"We discovered that the responses to the dark targets were much greater than we expected, and that the dragonfly’s ability to respond to a dark moving target is from the correlation of opposite contrast pathways: OFF with ON," Dr Wiederman says.

"The exact mechanisms that occur in the brain for this to happen are of great interest in visual neurosciences generally, as well as for solving engineering applications in target detection and tracking. Understanding how visual systems work can have a range of outcomes, such as in the development of neural prosthetics and improvements in robot vision.

"A project is now underway at the University of Adelaide to translate much of the research we’ve conducted into a robot, to see if it can emulate the dragonfly’s vision and movement. This project is well underway and once complete, watching our autonomous dragonfly robot will be very exciting," he says.

Filed under visual processing vision neural circuitry robotics neuroscience science

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