Neuroscience

Articles and news from the latest research reports.

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Scientists catch brain damage in the act
Scientists have uncovered how inflammation and lack of oxygen conspire to cause brain damage in conditions such as stroke and Alzheimer’s disease.
The discovery, published today in Neuron, brings researchers a step closer to finding potential targets to treat neurodegenerative disorders.
Chronic inflammation and hypoxia, or oxygen deficiency, are hallmarks of several brain diseases, but little was known about how they contribute to symptoms such as memory loss.
The study used state-of-the-art techniques that reveal the movements of microglia, the brain’s resident immune cells. Brain researcher Brian MacVicar had previously captured how they moved to areas of injury to repair brain damage.
The new study shows that the combination of inflammation and hypoxia activates microglia in a way that persistently weakens the connection between neurons. The phenomenon, known as long-term depression, has been shown to contribute to cognitive impairment in Alzheimer’s disease.
“This is a never-before-seen mechanism among three key players in the brain that interact together in neurodegenerative disorders,” says MacVicar with the Djavad Mowafaghian Centre for Brain Health at UBC and Vancouver Coastal Health Research Institute.
“Now we can use this knowledge to start identifying new potential targets for therapy.”

Scientists catch brain damage in the act

Scientists have uncovered how inflammation and lack of oxygen conspire to cause brain damage in conditions such as stroke and Alzheimer’s disease.

The discovery, published today in Neuron, brings researchers a step closer to finding potential targets to treat neurodegenerative disorders.

Chronic inflammation and hypoxia, or oxygen deficiency, are hallmarks of several brain diseases, but little was known about how they contribute to symptoms such as memory loss.

The study used state-of-the-art techniques that reveal the movements of microglia, the brain’s resident immune cells. Brain researcher Brian MacVicar had previously captured how they moved to areas of injury to repair brain damage.

The new study shows that the combination of inflammation and hypoxia activates microglia in a way that persistently weakens the connection between neurons. The phenomenon, known as long-term depression, has been shown to contribute to cognitive impairment in Alzheimer’s disease.

“This is a never-before-seen mechanism among three key players in the brain that interact together in neurodegenerative disorders,” says MacVicar with the Djavad Mowafaghian Centre for Brain Health at UBC and Vancouver Coastal Health Research Institute.

“Now we can use this knowledge to start identifying new potential targets for therapy.”

Filed under brain damage neurodegenerative diseases microglia cells hypoxia inflammation neuroscience science

163 notes

New contender for ‘fat gene’ found
Researchers may have been focusing on the wrong gene.
Scientists studying what they thought was a ‘fat gene’ seem to have been looking in the wrong place, according to research published today in Nature. It suggests instead that the real culprit is another gene that the suspected obesity gene interacts with.
In 2007, several genome studies identified mutations in a gene called FTO that were strongly associated with an increased risk of obesity and type 2 diabetes in humans. Subsequent studies in mice showed a link between the gene and body mass. So researchers, including Marcelo Nóbrega, a geneticist at the University of Chicago, thought that they had found a promising candidate for a gene that helped cause obesity.
The mutations were located in non-coding portions of FTO involved in regulating gene expression. But when Nóbrega looked closer, he found that something was amiss. These regulatory regions contained some elements that are specific for the lungs, one of the few tissues in which FTO is not expressed. “This made us pause,” he says. “Why are there regulatory elements that presumably regulate FTO in the tissue where it isn’t expressed?”
This was not the first red flag. Previous attempts to find a link between the presence of the obesity-associated mutations and the expression levels of FTO had been a “miserable failure”, he says. When Nóbrega presented his new results at meetings, he adds that many people came to him to say ‘I just knew there was something wrong here’.
So Nóbrega’s team cast the net wider, looking for genes in the broader neighbourhood of FTO whose expression matched that of the mutations, and found IRX3, a gene about half a million base pairs away. IRX3 encodes a transcription factor — a type of protein involved in regulating the expression of other genes — and is highly expressed in the brain, consistent with a role in regulating energy metabolism and eating behaviour.
When they examined the looping three-dimensional structure of the chromosome on which both genes sit in mice, zebrafish and human cells, they found that the obesity-associated regions in FTO were physically in contact with the promoter (the initial gene sequence which acts as an on/off switch) of IRX3. So the switches that turn on IRX3 are actually located far away from IRX3 itself, inside another gene. “We think of the genome as a linear thing, but it’s really a complex 3D structure that coils back onto itself,” he says.
Distant genes
IRX3 also appeared to be strongly linked with obesity. People with one of the obesity-associated mutations showed higher expression of IRX3, but not FTO, in brain tissue samples, the team found. Nóbrega and his colleagues also found that mice lacking the gene weighed 25–30% less than mice with a functional IRX3 gene; did not gain weight on a high-fat diet; were resistant to metabolic disorders such as diabetes and had more of the energy-burning cells known as brown fat. The same results were seen in mice in which the expression of IRX3 was blocked in the hypothalamus, a brain region known to regulate feeding behaviour and energy balance.
Inês Barroso, a geneticist at the Wellcome Trust Sanger Institute in Hinxton, UK, says that the work answers some of the questions around the biology of the link found in the genome-wide association studies (GWAS). “That’s always the tricky thing; a GWAS gives you an association, but it’s just a marker on the genome, it doesn’t actually say anything about which gene it’s affecting,” she says. “This strongly suggests that mediation of body mass is going to be through IRX3 rather than FTO.”
Nóbrega thinks geneticists should keep in mind this example of unexpected interactions between distant genes when dealing with genetic association studies. “There may be many other cases where people are studying the wrong gene,” he says. “We might be chasing ghosts.”

New contender for ‘fat gene’ found

Researchers may have been focusing on the wrong gene.

Scientists studying what they thought was a ‘fat gene’ seem to have been looking in the wrong place, according to research published today in Nature. It suggests instead that the real culprit is another gene that the suspected obesity gene interacts with.

In 2007, several genome studies identified mutations in a gene called FTO that were strongly associated with an increased risk of obesity and type 2 diabetes in humans. Subsequent studies in mice showed a link between the gene and body mass. So researchers, including Marcelo Nóbrega, a geneticist at the University of Chicago, thought that they had found a promising candidate for a gene that helped cause obesity.

The mutations were located in non-coding portions of FTO involved in regulating gene expression. But when Nóbrega looked closer, he found that something was amiss. These regulatory regions contained some elements that are specific for the lungs, one of the few tissues in which FTO is not expressed. “This made us pause,” he says. “Why are there regulatory elements that presumably regulate FTO in the tissue where it isn’t expressed?”

This was not the first red flag. Previous attempts to find a link between the presence of the obesity-associated mutations and the expression levels of FTO had been a “miserable failure”, he says. When Nóbrega presented his new results at meetings, he adds that many people came to him to say ‘I just knew there was something wrong here’.

So Nóbrega’s team cast the net wider, looking for genes in the broader neighbourhood of FTO whose expression matched that of the mutations, and found IRX3, a gene about half a million base pairs away. IRX3 encodes a transcription factor — a type of protein involved in regulating the expression of other genes — and is highly expressed in the brain, consistent with a role in regulating energy metabolism and eating behaviour.

When they examined the looping three-dimensional structure of the chromosome on which both genes sit in mice, zebrafish and human cells, they found that the obesity-associated regions in FTO were physically in contact with the promoter (the initial gene sequence which acts as an on/off switch) of IRX3. So the switches that turn on IRX3 are actually located far away from IRX3 itself, inside another gene. “We think of the genome as a linear thing, but it’s really a complex 3D structure that coils back onto itself,” he says.

Distant genes

IRX3 also appeared to be strongly linked with obesity. People with one of the obesity-associated mutations showed higher expression of IRX3, but not FTO, in brain tissue samples, the team found. Nóbrega and his colleagues also found that mice lacking the gene weighed 25–30% less than mice with a functional IRX3 gene; did not gain weight on a high-fat diet; were resistant to metabolic disorders such as diabetes and had more of the energy-burning cells known as brown fat. The same results were seen in mice in which the expression of IRX3 was blocked in the hypothalamus, a brain region known to regulate feeding behaviour and energy balance.

Inês Barroso, a geneticist at the Wellcome Trust Sanger Institute in Hinxton, UK, says that the work answers some of the questions around the biology of the link found in the genome-wide association studies (GWAS). “That’s always the tricky thing; a GWAS gives you an association, but it’s just a marker on the genome, it doesn’t actually say anything about which gene it’s affecting,” she says. “This strongly suggests that mediation of body mass is going to be through IRX3 rather than FTO.

Nóbrega thinks geneticists should keep in mind this example of unexpected interactions between distant genes when dealing with genetic association studies. “There may be many other cases where people are studying the wrong gene,” he says. “We might be chasing ghosts.”

Filed under obesity fat gene FTO gene expression IRX3 GWAS genomics science

154 notes

(Image caption: This image shows a PC12 cell growing onto a randomly textures surface. Note how the cell is spreading out in all directions.)
Surface Characteristics Influence Cellular Growth on Semiconductor Material
Changing the texture and surface characteristics of a semiconductor material at the nanoscale can influence the way that neural cells grow on the material.
The finding stems from a study performed by researchers at North Carolina State University, the University of North Carolina at Chapel Hill and Purdue University, and may have utility for developing future neural implants.
“We wanted to know how a material’s texture and structure can influence cell adhesion and differentiation,” says Lauren Bain, lead author of a paper describing the work and a Ph.D. student in the joint biomedical engineering program at NC State and UNC-Chapel Hill. “Basically, we wanted to know if changing the physical characteristics on the surface of a semiconductor could make it easier for an implant to be integrated into neural tissue – or soft tissue generally.”
The researchers worked with gallium nitride (GaN), because it is one of the most promising semiconductor materials for use in biomedical applications. They also worked with PC12 cells, which are model cells used to mimic the behavior of neurons in lab experiments.
In the study, the researchers grew PC12 cells on GaN squares with four different surface characteristics: some squares were smooth; some had parallel grooves (resembling an irregular corduroy pattern); some were randomly textured (resembling a nanoscale mountain range); and some were covered with nanowires (resembling a nanoscale bed of nails).
Very few PC12 cells adhered to the smooth surface. And those that did adhere grew normally, forming long, narrow extensions. More PC12 cells adhered to the squares with parallel grooves, and these cells also grew normally.
About the same number of PC12 cells adhered to the randomly textured squares as adhered to the parallel grooves. However, these cells did not grow normally. Instead of forming narrow extensions, the cells flattened and spread across the GaN surface in all directions.
More PC12 cells adhered to the nanowire squares than to any of the other surfaces, but only 50 percent of the cells grew normally. The other 50 percent spread in all directions, like the cells on the randomly textured surfaces.
“This tells us that the actual shape of the surface characteristics influences the behavior of the cells,” Bain says. “It’s a non-chemical way of influencing the interaction between the material and the body. That’s something we can explore as we continue working to develop new biomedical technologies.”

(Image caption: This image shows a PC12 cell growing onto a randomly textures surface. Note how the cell is spreading out in all directions.)

Surface Characteristics Influence Cellular Growth on Semiconductor Material

Changing the texture and surface characteristics of a semiconductor material at the nanoscale can influence the way that neural cells grow on the material.

The finding stems from a study performed by researchers at North Carolina State University, the University of North Carolina at Chapel Hill and Purdue University, and may have utility for developing future neural implants.

“We wanted to know how a material’s texture and structure can influence cell adhesion and differentiation,” says Lauren Bain, lead author of a paper describing the work and a Ph.D. student in the joint biomedical engineering program at NC State and UNC-Chapel Hill. “Basically, we wanted to know if changing the physical characteristics on the surface of a semiconductor could make it easier for an implant to be integrated into neural tissue – or soft tissue generally.”

The researchers worked with gallium nitride (GaN), because it is one of the most promising semiconductor materials for use in biomedical applications. They also worked with PC12 cells, which are model cells used to mimic the behavior of neurons in lab experiments.

In the study, the researchers grew PC12 cells on GaN squares with four different surface characteristics: some squares were smooth; some had parallel grooves (resembling an irregular corduroy pattern); some were randomly textured (resembling a nanoscale mountain range); and some were covered with nanowires (resembling a nanoscale bed of nails).

Very few PC12 cells adhered to the smooth surface. And those that did adhere grew normally, forming long, narrow extensions. More PC12 cells adhered to the squares with parallel grooves, and these cells also grew normally.

About the same number of PC12 cells adhered to the randomly textured squares as adhered to the parallel grooves. However, these cells did not grow normally. Instead of forming narrow extensions, the cells flattened and spread across the GaN surface in all directions.

More PC12 cells adhered to the nanowire squares than to any of the other surfaces, but only 50 percent of the cells grew normally. The other 50 percent spread in all directions, like the cells on the randomly textured surfaces.

“This tells us that the actual shape of the surface characteristics influences the behavior of the cells,” Bain says. “It’s a non-chemical way of influencing the interaction between the material and the body. That’s something we can explore as we continue working to develop new biomedical technologies.”

Filed under PC12 cells gallium nitride neural implants neurons cell differentiation neuroscience science

184 notes

Nicotine Withdrawal Weakens Brain Connections Tied to Self-Control Over Cigarette Cravings

People who try to quit smoking often say that kicking the habit makes the voice inside telling them to light up even louder, but why people succumb to those cravings so often has never been fully understood.  Now, a new brain imaging study in this week’s JAMA Psychiatry from scientists in Penn Medicine and the National Institute on Drug Abuse (NIDA) Intramural Research Program shows how smokers suffering from nicotine withdrawal may have more trouble shifting from a key brain network—known as default mode, when people are in a so-called “introspective” or “self-referential” state— and into a control network, the so-called executive control network, that could help exert more conscious, self-control over cravings and to focus on quitting for good.

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The findings help validate a neurobiological basis behind why so many people trying to quit end up relapsing—up to 80 percent, depending on the type of treatment—and may lead to new ways to identify smokers at high risk for relapse who need more intensive smoking cessation therapy.  

The brain imaging study was led by researchers at University of Pennsylvania’s new Brain and Behavior Change Program, led by Caryn Lerman, PhD, who is also the deputy director of Penn’s Abramson Cancer Center, and Elliot Stein, PhD, and collaborators at NIDA. They found that smokers who abstained from cigarettes showed weakened interconnectivity between certain large-scale networks in their brains: the default mode network, the executive control network, and the salience network. They posit that this weakened connectivity reduces smokers’ ability to shift into or maintain greater influence from the executive control network, which may ultimately help maintain their quitting attempt.

“What we believe this means is that smokers who just quit have a more difficult time shifting gears from inward thoughts about how they feel to an outward focus on the tasks at hand,” said Lerman, who also serves as the Mary W. Calkins professor in the Department of Psychiatry. “It’s very important for people who are trying to quit to be able to maintain activity within the control network— to be able to shift from thinking about yourself and your inner state to focus on your more immediate goals and plan.”

Prior studies have looked at the effects of nicotine on brain interconnectivity in the resting state, that is, in the absence of any specific goal directed activity. This is the first study, however, to compare resting brain connectivity in an abstinent state and when people are smoking as usual, and then relate those changes to symptoms of craving and mental performance.

For the study, researchers conducted brain scans on 37 healthy smokers (those who smoke more than 10 cigarettes a day) ages 19 to 61 using functional magnetic resonance imaging (fMRI) in two different sessions: 24 hours after biochemically confirmed abstinence and after smoking as usual.

Imaging showed a significantly weaker connectivity between the salience network and default mode network during abstinence, compared with their sated state. Also, weakened connectivity during abstinence was linked with increases in smoking urges, negative mood, and withdrawal symptoms, suggesting that this weaker internetwork connectivity may make it more difficult for people to quit.

Establishing the strength of the connectivity between these large-scale brain networks will be important in predicting people’s ability to quit and stay quit, the authors write. Also, such connectivity could serve as a clinical biomarker to identify smokers who are most likely to respond to a particular treatment.

“Symptoms of withdrawal are related to changes in smokers’ brains, as they adjust to being off of nicotine, and this study validates those experiences as having a biological basis,” said Lerman. “The next step will be to identify in advance those smokers who will have more difficultly quitting and target more intensive treatments, based on brain activity and network connectivity.”

(Source: uphs.upenn.edu)

Filed under default mode network smoking nicotine neuroimaging psychology neuroscience science

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How the brain recognizes familiar music

Research from McGill University reveals that the brain’s motor network helps people remember and recognize music that they have performed in the past better than music they have only heard. A recent study by Prof. Caroline Palmer of the Department of Psychology sheds new light on how humans perceive and produce sounds, and may pave the way for investigations into whether motor learning could improve or protect memory or cognitive impairment in aging populations. The research is published in the journal Cerebral Cortex.

“The memory benefit that comes from performing a melody rather than just listening to it, or saying a word out loud rather than just hearing or reading it, is known as the ’production effect’ on memory”, says Prof. Palmer, a Canada Research Chair in Cognitive Neuroscience of Performance. “Scientists have debated whether the production effect is due to motor memories, such as knowing the feel of a particular sequence of finger movements on piano keys, or simply due to strengthened auditory memories, such as knowing how the melody tones should sound. Our paper provides new evidence that motor memories play a role in improving listeners’ recognition of tones they have previously performed.”

image

For the study, researchers recruited twenty skilled pianists from Lyon, France. The group was asked to learn simple melodies by either hearing them several times or performing them several times on a piano. Pianists then heard all of the melodies they had learned, some of which contained wrong notes, while their brain electric signals were measured using electroencephalography (EEG). 

“We found that pianists were better at recognizing pitch changes in melodies they had performed earlier,” said the study’s first author, Brian Mathias, a McGill PhD student who conducted the work at the Lyon Neuroscience Research Centre in France with additional collaborators Drs. Barbara Tillmann and Fabien Perrin.

The team found that EEG measurements revealed larger changes in brain waves and increased motor activity for previously performed melodies than for heard melodies about 200 milliseconds after the wrong notes. This reveals that the brain quickly compares incoming auditory information with motor information stored in memory, allowing us to recognize whether a sound is familiar.

“This paper helps us understand ‘experiential learning’, or ‘learning by doing’, and offers pedagogical and clinical implications,” said Mathias, “The role of the motor system in recognizing music, and perhaps also speech, could inform education theory by providing strategies for memory enhancement for students and teachers.”

(Source: mcgill.ca)

Filed under music memory motor learning EEG brainwaves learning neuroscience science

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Restoring Order in the Brain

Alzheimer’s disease is the most widespread degenerative neurological disorder in the world. Over five million Americans live with it, and one in three senior citizens will die with the disease or a similar form of dementia. While memory loss is a common symptom of Alzheimer’s, other behavioral manifestations — depression, loss of inhibition, delusions, agitation, anxiety, and aggression — can be even more challenging for victims and their families to live with.

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Now Prof. Daniel Offen and Dr. Adi Shruster of Tel Aviv University’s Sackler School of Medicine have discovered that by reestablishing a population of new cells in the part of the brain associated with behavior, some symptoms of Alzheimer’s disease significantly decreased or were reversed altogether.

The research, published in the journal Behavioural Brain Research, was conducted on mouse models; it provides a promising target for Alzheimer’s symptoms in human beings as well.

"Until 15 years ago, the common belief was that you were born with a finite number of neurons. You would lose them as you aged or as the result of injury or disease," said Prof. Offen, who also serves as Chief Scientific Officer at BrainStorm, a biotech company at the forefront of innovative stem cell research. "We now know that stem cells can be used to regenerate areas of the brain."

Speeding up recovery

After introducing stem cells in brain tissue in the laboratory and seeing promising results, Prof. Offen leveraged the study to mice with Alzheimer’s disease-like symptoms. The gene (Wnt3a) was introduced in the part of the mouse brain that controls behavior, specifically fear and anxiety, in the hope that it would contribute to the formation of genes that produce new brain cells.

According to Prof. Offen, untreated Alzheimer’s mice would run heedlessly into an unfamiliar and dangerous area of their habitats instead of assessing potential threats, as healthy mice do. Once treated with the gene that increased new neuron population, however, the mice reverted to assessing their new surroundings first, as usual.

"Normal mice will recognize the danger and avoid it. Mice with the disease, just like human patients, lose their sense of space and reality," said Prof. Offen. "We first succeeded in showing that new neuronal cells were produced in the areas injected with the gene. Then we succeeded in showing diminished symptoms as a result of this neuron repopulation."

"The loss of inhibition is a cause of great embarrassment for most patients and relatives of patients with Alzheimer’s," said Prof. Offen. "Often, patients take off their pants in public, having no sense of their surroundings. We saw parallel behavior in animal models with Alzheimer’s."

Next: Memory

After concluding that increased stem cell production in a certain area of the brain had a positive effect on behavioral deficits of Alzheimer’s, Prof. Offen has moved to research into the area of the brain that controls memory. He and his team are currently exploring it in the laboratory and are confident that the results of the new study will be similar.

"Although there are many questions to answer before this research produces practical therapies, we are very optimistic about the results and feel this is a promising direction for Alzheimer’s research," said Prof. Offen.

(Source: aftau.org)

Filed under alzheimer's disease neurogenesis genetics animal model neuroscience science

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Substance in Humans is Effective Fighting Stroke Damage
A molecular substance that occurs naturally in humans and rats was found to “substantially reduce” brain damage after an acute stroke and contribute to a better recovery, according to a newly released animal study by researchers at Henry Ford Hospital.
The study, published online before print in Stroke, the journal of the American Heart Association, was the first ever to show that the peptide AcSDKP provides neurological protection when administered one to four hours after the onset of an ischemic stroke.
This type of stroke occurs when an artery to the brain is blocked by a blood clot, cutting off oxygen and killing brain tissue with crippling or fatal results.
“Stroke is a leading cause of death and disability worldwide,” said Li Zhang, M.D., a researcher at Henry Ford and lead author of the study. “Our data showed that treatment of acute stroke with AcSDKP alone or in combination with tPA substantially reduced neurovascular damage and improved neurological outcome.”
Commonly called a “clot-buster,” tPA, or tissue plasminogen activator, is the only FDA-approved treatment for acute stroke.

However, tPA must be given shortly after the onset of stroke to provide the best results. It also has the potential to cause a brain hemorrhage.

The Henry Ford study found that this narrow “therapeutic window” is extended for up to four hours after stroke and the therapeutic benefit of tPA is amplified when tPA is combined with AcSDKP. Further, the researchers discovered that AcSDKP alone is an effective treatment if given up to one hour after the brain attack.

The researchers tested the actions of both substances on laboratory rats in which acute stroke had been induced. It was already known that the peptide AcSDKP provides anti-inflammatory effects and helps protect the heart when used to treat a variety of cardiovascular diseases. The Henry Ford scientists reasoned that the peptide may have similar neurological benefits.

Significantly, they found that AcSDKP can readily cross the so-called “blood brain barrier” that blocks other neuroprotective substances.

A battery of behavioral tests was given to the lab rats both before and after stroke was induced to measure the effects of AcSDKP administered alone one hour after onset and combined with tPA four hours after stroke.

Besides finding that both methods “robustly” decreased neurological damage associated with stroke, they did so without increasing the incidence of brain hemorrhage or the formation of additional blood clots.

“With the increased use of clot-busting therapy in patients with acute stroke, both the safety and effectiveness of the combined treatment shown in our study should encourage the development of clinical trials of AcSDKP with tPA,” Dr. Zhang says.

Substance in Humans is Effective Fighting Stroke Damage

A molecular substance that occurs naturally in humans and rats was found to “substantially reduce” brain damage after an acute stroke and contribute to a better recovery, according to a newly released animal study by researchers at Henry Ford Hospital.

The study, published online before print in Stroke, the journal of the American Heart Association, was the first ever to show that the peptide AcSDKP provides neurological protection when administered one to four hours after the onset of an ischemic stroke.

This type of stroke occurs when an artery to the brain is blocked by a blood clot, cutting off oxygen and killing brain tissue with crippling or fatal results.

“Stroke is a leading cause of death and disability worldwide,” said Li Zhang, M.D., a researcher at Henry Ford and lead author of the study. “Our data showed that treatment of acute stroke with AcSDKP alone or in combination with tPA substantially reduced neurovascular damage and improved neurological outcome.”

Commonly called a “clot-buster,” tPA, or tissue plasminogen activator, is the only FDA-approved treatment for acute stroke.

However, tPA must be given shortly after the onset of stroke to provide the best results. It also has the potential to cause a brain hemorrhage.

The Henry Ford study found that this narrow “therapeutic window” is extended for up to four hours after stroke and the therapeutic benefit of tPA is amplified when tPA is combined with AcSDKP. Further, the researchers discovered that AcSDKP alone is an effective treatment if given up to one hour after the brain attack.

The researchers tested the actions of both substances on laboratory rats in which acute stroke had been induced. It was already known that the peptide AcSDKP provides anti-inflammatory effects and helps protect the heart when used to treat a variety of cardiovascular diseases. The Henry Ford scientists reasoned that the peptide may have similar neurological benefits.

Significantly, they found that AcSDKP can readily cross the so-called “blood brain barrier” that blocks other neuroprotective substances.

A battery of behavioral tests was given to the lab rats both before and after stroke was induced to measure the effects of AcSDKP administered alone one hour after onset and combined with tPA four hours after stroke.

Besides finding that both methods “robustly” decreased neurological damage associated with stroke, they did so without increasing the incidence of brain hemorrhage or the formation of additional blood clots.

“With the increased use of clot-busting therapy in patients with acute stroke, both the safety and effectiveness of the combined treatment shown in our study should encourage the development of clinical trials of AcSDKP with tPA,” Dr. Zhang says.

Filed under stroke tissue plasminogen activator blood brain barrier ischemia neuroscience science

496 notes

Gesturing with hands is a powerful tool for children’s math learning
Children who use their hands to gesture during a math lesson gain a deep understanding of the problems they are taught, according to new research from University of Chicago’s Department of Psychology.
Previous research has found that gestures can help children learn. This study in particular was designed to answer whether abstract gesture can support generalization beyond a particular problem and whether abstract gesture is a more effective teaching tool than concrete action.
“We found that acting gave children a relatively shallow understanding of a novel math concept, whereas gesturing led to deeper and more flexible learning,” explained the study’s lead author, Miriam A. Novack, a PhD student in psychology.
The study, “From action to abstraction: Using the hands to learn math,” is published online by Psychological Science.
The researchers taught third-grade children a strategy for solving one type of mathematical equivalence problem, for example, 4 + 2 + 6 = ____ + 6. They then tested the students on similar mathematical equivalence problems to determine how well they understood the underlying principle.
The researchers randomly assigned 90 children to conditions in which they learned using different kinds of physical interaction with the material. In one group, children picked up magnetic number tiles and put them in the proper place in the formula. For example, for the problem 4 + 2 + 6 = ___ + 6, they picked up the 4 and 2 and placed them on a magnetic whiteboard. Another group mimed that action without actually touching the tiles, and a third group was taught to use abstract gestures with their hands to solve the equations. In the abstract gesture group, children were taught to produce a V-point gesture with their fingers under two of the numbers, metaphorically grouping them, followed by pointing a finger at the blank in the equation.
The children were tested before and after solving each problem in the lesson, including problems that required children to generalize beyond what they had learned in grouping the numbers. For example, they were given problems that were similar to the original one, but had different numbers on both sides of the equation.
Children in all three groups learned the problems they had been taught during the lesson. But only children who gestured during the lesson were successful on the generalization problems.
“Abstract gesture was most effective in encouraging learners to generalize the knowledge they had gained during instruction, action least effective, and concrete gesture somewhere in between,” said senior author Susan Goldin-Meadow, the Beardsley Ruml Distinguished Service Professor in Psychology. “Our findings provide the first evidence that gesture not only supports learning a task at hand but, more importantly, leads to generalization beyond the task. Children appear to learn underlying principles from their actions only insofar as those actions can be interpreted symbolically.”

Gesturing with hands is a powerful tool for children’s math learning

Children who use their hands to gesture during a math lesson gain a deep understanding of the problems they are taught, according to new research from University of Chicago’s Department of Psychology.

Previous research has found that gestures can help children learn. This study in particular was designed to answer whether abstract gesture can support generalization beyond a particular problem and whether abstract gesture is a more effective teaching tool than concrete action.

“We found that acting gave children a relatively shallow understanding of a novel math concept, whereas gesturing led to deeper and more flexible learning,” explained the study’s lead author, Miriam A. Novack, a PhD student in psychology.

The study, “From action to abstraction: Using the hands to learn math,” is published online by Psychological Science.

The researchers taught third-grade children a strategy for solving one type of mathematical equivalence problem, for example, 4 + 2 + 6 = ____ + 6. They then tested the students on similar mathematical equivalence problems to determine how well they understood the underlying principle.

The researchers randomly assigned 90 children to conditions in which they learned using different kinds of physical interaction with the material. In one group, children picked up magnetic number tiles and put them in the proper place in the formula. For example, for the problem 4 + 2 + 6 = ___ + 6, they picked up the 4 and 2 and placed them on a magnetic whiteboard. Another group mimed that action without actually touching the tiles, and a third group was taught to use abstract gestures with their hands to solve the equations. In the abstract gesture group, children were taught to produce a V-point gesture with their fingers under two of the numbers, metaphorically grouping them, followed by pointing a finger at the blank in the equation.

The children were tested before and after solving each problem in the lesson, including problems that required children to generalize beyond what they had learned in grouping the numbers. For example, they were given problems that were similar to the original one, but had different numbers on both sides of the equation.

Children in all three groups learned the problems they had been taught during the lesson. But only children who gestured during the lesson were successful on the generalization problems.

“Abstract gesture was most effective in encouraging learners to generalize the knowledge they had gained during instruction, action least effective, and concrete gesture somewhere in between,” said senior author Susan Goldin-Meadow, the Beardsley Ruml Distinguished Service Professor in Psychology. “Our findings provide the first evidence that gesture not only supports learning a task at hand but, more importantly, leads to generalization beyond the task. Children appear to learn underlying principles from their actions only insofar as those actions can be interpreted symbolically.”

Filed under mathematics learning psychology neuroscience science

170 notes

Researchers Model a Key Breaking Point Involved in Traumatic Brain Injury 
Even the mildest form of a traumatic brain injury, better known as a concussion, can deal permanent, irreparable damage. Now, an interdisciplinary team of researchers at the University of Pennsylvania is using mathematical modeling to better understand the mechanisms at play in this kind of injury, with an eye toward protecting the brain from its long-term consequences.
Their recent findings, published in the Biophysical Journal, shed new light on the mechanical properties of a critical brain protein and its role in the elasticity of axons, the long, tendril-like part of brain cells. This protein, known as tau, helps explain the apparent contradiction this elasticity presents. If axons are so stretchy, why do they break under the strain of a traumatic brain injury?    
Tau’s own elastic properties reveal why rapid impacts deal permanent damage to structures within axons, when applying the same force more slowly causes them to safely stretch. This understanding can now be used to make computer models of the brain more realistic and potentially can be applied toward tau-related diseases, such as Alzheimer’s.
The team consists of Vivek Shenoy, professor of materials science and engineering in the School of Engineering and Applied Science, Hossein Ahmadzadeh, a member of Shenoy’s lab, and Douglas Smith, professor of neurosurgery in Penn’s Perelman School of Medicine and director of the Penn Center for Brain Injury and Repair. 
“One of the main things you see in the brains of patients who have died because of a TBI is swellings along the axons,” Shenoy said. “Inside axons are microtubules, which act like tracks for transporting molecular cargo along the axon. When they break, there’s an interruption in the flow of this cargo and it starts to accumulate, which is why you get these swellings.”  
Smith had previously studied the mechanical properties of axons as a whole. By patterning axons in culture in parallel tracts, Smith and his colleagues could apply a stretch to the axons at different forces and speeds and measure how they responded.
“What we saw is that with slow loading rates, axons can stretch up to at least 100 percent with no signs of damage,” Smith said. “But at faster rates, axons start displaying the same swellings you see in the TBI patients. This process occurs even with relatively short stretch at fast rates. So the rate at which stretch is applied is the important component, such as occurs during rapid movement of the brain and stretching of axons due to head impact from a fall, assault or automobile crash.”
This observation still did not explain to researchers why microtubules, the stiffest part of the axon, were the parts that were breaking. To solve that puzzle, the researchers had to delve even deeper into their structure.
Microtubules are closely packed together inside axons, somewhat like a bundle of straws. Binding the individual straws together is the protein tau. Other biophysical modelers had previously accounted for the geometry and elastic properties of the axon during a stretching injury based on Smith’s work but did not have good data for representing tau’s role in the overall behavior of the system when it is loaded with stress over different lengths of time. 
“You need to know the elastic properties of tau,” Shenoy said, “because when you load the microtubules with stress, you load the tau as well. How these two parts distribute the stress between them is going to have major impact on the system as a whole.”
Shenoy and his colleagues had a sense of tau’s elastic properties but did not have hard numbers until a 2011 experiment from a Swiss and German research team physically stretched out lengths of tau by plucking it with the tip of an atomic force microscope.
“This experiment demonstrated that tau is viscoelastic,” Shenoy said. “Like Silly Putty, when you add stress to it slowly, it stretches a lot. But if you add stress to it rapidly, like in an impact, it breaks.”
This behavior is because the strands of tau protein are coiled up and bonded to themselves in different places. Pulled slowly, those bonds can come undone, lengthening the strand without breaking it. 
“The damage in traumatic brain injury occurs when the microtubules stretch but the tau doesn’t, as they can’t stretch as far,” Shenoy said. “If you’re in a situation where the tau doesn’t stretch, such as what happens in fast strain rates, then all the strain will transfer to the microtubules and cause them to break.”
With a comprehensive model of the tau-microtubule system, the researchers were able to boil down the outcome of rapid stress loading to equations with only a handful of variables. This mathematical understanding allowed the researchers to produce a phase diagram that shows the dividing line between strain rates that leave permanent damage versus safe and reversible loading and unloading of stress.
“Predicting what kind of impacts will cause these strain rates is still a complicated problem,” Shenoy said. “I might be able to measure the force of the impact when it hits someone’s head, but that force then has to make its way down to the axons, which depends on a lot of different things.
“You need a multiscale model, and our work will be an input to those models on the smallest scale.”
In the longer term, knowing the parameters that lead to irreversible damage could lead to better understanding of brain injuries and diseases and to new preventive measures. It may even be possible to design drugs that alter microtubule stability and elasticity of axons in traumatic brain injury; Smith’s group has demonstrated that treatment with the microtubule-stabilizing drug taxol reduced the extent of axon swellings and degeneration after stretch injury.    
“Intriguingly, it may be no coincidence that tau is also the same protein that forms neurofibrillary tangles, one of the hallmark brain pathologies of chronic traumatic encephalopathy, or CTE, which is linked to a history of concussions and higher levels of TBI,” said Smith. “Uncovering the role of tau at the time of trauma may provide insight into how it is involved in long-term degenerative processes.”

Researchers Model a Key Breaking Point Involved in Traumatic Brain Injury

Even the mildest form of a traumatic brain injury, better known as a concussion, can deal permanent, irreparable damage. Now, an interdisciplinary team of researchers at the University of Pennsylvania is using mathematical modeling to better understand the mechanisms at play in this kind of injury, with an eye toward protecting the brain from its long-term consequences.

Their recent findings, published in the Biophysical Journal, shed new light on the mechanical properties of a critical brain protein and its role in the elasticity of axons, the long, tendril-like part of brain cells. This protein, known as tau, helps explain the apparent contradiction this elasticity presents. If axons are so stretchy, why do they break under the strain of a traumatic brain injury?    

Tau’s own elastic properties reveal why rapid impacts deal permanent damage to structures within axons, when applying the same force more slowly causes them to safely stretch. This understanding can now be used to make computer models of the brain more realistic and potentially can be applied toward tau-related diseases, such as Alzheimer’s.

The team consists of Vivek Shenoy, professor of materials science and engineering in the School of Engineering and Applied Science, Hossein Ahmadzadeh, a member of Shenoy’s lab, and Douglas Smith, professor of neurosurgery in Penn’s Perelman School of Medicine and director of the Penn Center for Brain Injury and Repair. 

“One of the main things you see in the brains of patients who have died because of a TBI is swellings along the axons,” Shenoy said. “Inside axons are microtubules, which act like tracks for transporting molecular cargo along the axon. When they break, there’s an interruption in the flow of this cargo and it starts to accumulate, which is why you get these swellings.”  

Smith had previously studied the mechanical properties of axons as a whole. By patterning axons in culture in parallel tracts, Smith and his colleagues could apply a stretch to the axons at different forces and speeds and measure how they responded.

“What we saw is that with slow loading rates, axons can stretch up to at least 100 percent with no signs of damage,” Smith said. “But at faster rates, axons start displaying the same swellings you see in the TBI patients. This process occurs even with relatively short stretch at fast rates. So the rate at which stretch is applied is the important component, such as occurs during rapid movement of the brain and stretching of axons due to head impact from a fall, assault or automobile crash.”

This observation still did not explain to researchers why microtubules, the stiffest part of the axon, were the parts that were breaking. To solve that puzzle, the researchers had to delve even deeper into their structure.

Microtubules are closely packed together inside axons, somewhat like a bundle of straws. Binding the individual straws together is the protein tau. Other biophysical modelers had previously accounted for the geometry and elastic properties of the axon during a stretching injury based on Smith’s work but did not have good data for representing tau’s role in the overall behavior of the system when it is loaded with stress over different lengths of time. 

“You need to know the elastic properties of tau,” Shenoy said, “because when you load the microtubules with stress, you load the tau as well. How these two parts distribute the stress between them is going to have major impact on the system as a whole.”

Shenoy and his colleagues had a sense of tau’s elastic properties but did not have hard numbers until a 2011 experiment from a Swiss and German research team physically stretched out lengths of tau by plucking it with the tip of an atomic force microscope.

“This experiment demonstrated that tau is viscoelastic,” Shenoy said. “Like Silly Putty, when you add stress to it slowly, it stretches a lot. But if you add stress to it rapidly, like in an impact, it breaks.”

This behavior is because the strands of tau protein are coiled up and bonded to themselves in different places. Pulled slowly, those bonds can come undone, lengthening the strand without breaking it. 

“The damage in traumatic brain injury occurs when the microtubules stretch but the tau doesn’t, as they can’t stretch as far,” Shenoy said. “If you’re in a situation where the tau doesn’t stretch, such as what happens in fast strain rates, then all the strain will transfer to the microtubules and cause them to break.”

With a comprehensive model of the tau-microtubule system, the researchers were able to boil down the outcome of rapid stress loading to equations with only a handful of variables. This mathematical understanding allowed the researchers to produce a phase diagram that shows the dividing line between strain rates that leave permanent damage versus safe and reversible loading and unloading of stress.

“Predicting what kind of impacts will cause these strain rates is still a complicated problem,” Shenoy said. “I might be able to measure the force of the impact when it hits someone’s head, but that force then has to make its way down to the axons, which depends on a lot of different things.

“You need a multiscale model, and our work will be an input to those models on the smallest scale.”

In the longer term, knowing the parameters that lead to irreversible damage could lead to better understanding of brain injuries and diseases and to new preventive measures. It may even be possible to design drugs that alter microtubule stability and elasticity of axons in traumatic brain injury; Smith’s group has demonstrated that treatment with the microtubule-stabilizing drug taxol reduced the extent of axon swellings and degeneration after stretch injury.    

“Intriguingly, it may be no coincidence that tau is also the same protein that forms neurofibrillary tangles, one of the hallmark brain pathologies of chronic traumatic encephalopathy, or CTE, which is linked to a history of concussions and higher levels of TBI,” said Smith. “Uncovering the role of tau at the time of trauma may provide insight into how it is involved in long-term degenerative processes.”

Filed under TBI brain injury concussion tau protein microtubules neuroscience science

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Outside the body our memories fail us

New research from Karolinska Institutet and Umeå University in Sweden demonstrates for the first time that there is a close relationship between body perception and the ability to remember. For us to be able to store new memories from our lives, we need to feel that we are in our own body. According to researchers, the results could be of major importance in understanding the memory problems that psychiatric patients often exhibit.

The memories of what happened on the first day of school are an example of an episodic memory. How these memories are created and how the role that the perception of one’s own body has when storing memories has long been inconclusive. Swedish researchers can now demonstrate that volunteers who experience an exciting event whilst perceiving an illusion of being outside their own body exhibit a form of memory loss.

“It is already evident that people who have suffered psychiatric conditions in which they felt that they were not in their own body have fragmentary memories of what actually occurred”, says Loretxu Bergouignan, principal author of the current study. “We wanted to see how this manifests itself in healthy subjects.”

The study, which is published in the scientific journal PNAS, involved a total of 84 students reading about and undergoing four oral questioning sessions. To make these sessions extra memorable, an actor (Peter Bergared) took up the role of examiner – a (fictional) very eccentric professor at Karolinska Institutet. Two of the interrogations were perceived from a first person perspective from their own bodies in the usual way, while the participants in the other two sessions experienced a created illusion of being outside their own body. In both cases, the participants wore virtual reality goggles and earphones. One week later, they either underwent memory testing where they had to recall the events and provide details about what had happened, in which order, and what they felt, or they had to try to remember the events while they underwent brain imaging with functional magnetic resonance imaging (fMRI).

It then turned out that the participants remembered the ‘out-of-body’ interrogations significantly worse than those experienced from the normal ‘In body’ perspective. This was the case despite the fact that they responded equally well to the questions from each situation and also indicated that they experienced the same level of emotion. The fMRI scans further revealed a crucial difference in activity in the portion of the temporal lobe – the hippocampus – that is known to be central for episodic memories.

“When they tried to remember what happened during the interrogations experienced out-of-body, activity in the hippocampus was eliminated, unlike when they remembered the other situations. However, we could see activity in the frontal lobe cortex, so they were really making an effort to remember”, says professor Henrik Ehrsson, the research group leader behind the study. 

The researchers’ interpretation of the results is that there is a close relationship between body experience and memory. Our brain constantly creates the experience of one’s own body in space by combining information from multiple senses: sight, hearing, touch, and more. When a memory is created, it is the task of the hippocampus to link all the information found in the cerebral cortex into a unified memory for further long-term storage. During the experience of being outside one’s body, this memory storage process is disturbed, whereupon the brain creates fragmentary memories instead.

“We believe that this new knowledge may be important for future research on memory disorders in a number of psychiatric conditions such as post-traumatic stress disorder, borderline personality disorder and certain psychoses where patients have dissociative experiences,” says Loretxu Bergouignan.

(Source: news.cision.com)

Filed under hippocampus frontal lobe body perception memory neuroimaging neuroscience science

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