Neuroscience

Articles and news from the latest research reports.

Posts tagged brain

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Researchers Identify Area of the Brain That Processes Empathy
An international team led by researchers at Mount Sinai School of Medicine in New York has for the first time shown that one area of the brain, called the anterior insular cortex, is the activity center of human empathy, whereas other areas of the brain are not. The study is published in the September 2012 issue of the journal Brain.
Empathy, the ability to perceive and share another person’s emotional state, has been described by philosophers and psychologists for centuries. In the past decade, however, scientists have used powerful functional MRI imaging to identify several regions in the brain that are associated with empathy for pain. This most recent study, however, firmly establishes that the anterior insular cortex is where the feeling of empathy originates.
“Now that we know the specific brain mechanisms associated with empathy, we can translate these findings into disease categories and learn why these empathic responses are deficient in neuropsychiatric illnesses, such as autism,” said Patrick R. Hof, MD, Regenstreif Professor and Vice-Chair, Department of Neuroscience at Mount Sinai, a co-author of the study. “This will help direct neuropathologic investigations aiming to define the specific abnormalities in identifiable neuronal circuits in these conditions, bringing us one step closer to developing better models and eventually preventive or protective strategies.”

Researchers Identify Area of the Brain That Processes Empathy

An international team led by researchers at Mount Sinai School of Medicine in New York has for the first time shown that one area of the brain, called the anterior insular cortex, is the activity center of human empathy, whereas other areas of the brain are not. The study is published in the September 2012 issue of the journal Brain.

Empathy, the ability to perceive and share another person’s emotional state, has been described by philosophers and psychologists for centuries. In the past decade, however, scientists have used powerful functional MRI imaging to identify several regions in the brain that are associated with empathy for pain. This most recent study, however, firmly establishes that the anterior insular cortex is where the feeling of empathy originates.

“Now that we know the specific brain mechanisms associated with empathy, we can translate these findings into disease categories and learn why these empathic responses are deficient in neuropsychiatric illnesses, such as autism,” said Patrick R. Hof, MD, Regenstreif Professor and Vice-Chair, Department of Neuroscience at Mount Sinai, a co-author of the study. “This will help direct neuropathologic investigations aiming to define the specific abnormalities in identifiable neuronal circuits in these conditions, bringing us one step closer to developing better models and eventually preventive or protective strategies.”

Filed under brain anterior insular cortex empathy emotion perception neuroscience psychology science

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“Grassroots” Neurons Wire and Fire Together for Dominance in the Brain 
Inside the brain, an unpredictable race—like a political campaign—is being run. Multiple candidates, each with a network of supporters, have organized themselves into various left- and right-wing clusters—like grassroots political teams working feverishly to reinforce a vision that bands them together. While scientists know that neurons in the brain anatomically organize themselves into these network camps, or clusters, the implications of such groupings on neural dynamics have remained unclear until now.
Using mathematical modeling, two researchers from the University of Pittsburgh have found that neurons team up together to sway particular outcomes in the brain and take over the nervous system in the name of their preferred action or behavior. The findings will be published in the November print issue of Nature Neuroscience. 
“Through complex mathematical equations, we organized neurons into clustered networks and immediately saw that our model produced a rich dynamic wherein neurons in the same groups were active together,” said Brent Doiron, assistant professor of mathematics.

“Grassroots” Neurons Wire and Fire Together for Dominance in the Brain

Inside the brain, an unpredictable race—like a political campaign—is being run. Multiple candidates, each with a network of supporters, have organized themselves into various left- and right-wing clusters—like grassroots political teams working feverishly to reinforce a vision that bands them together. While scientists know that neurons in the brain anatomically organize themselves into these network camps, or clusters, the implications of such groupings on neural dynamics have remained unclear until now.

Using mathematical modeling, two researchers from the University of Pittsburgh have found that neurons team up together to sway particular outcomes in the brain and take over the nervous system in the name of their preferred action or behavior. The findings will be published in the November print issue of Nature Neuroscience

“Through complex mathematical equations, we organized neurons into clustered networks and immediately saw that our model produced a rich dynamic wherein neurons in the same groups were active together,” said Brent Doiron, assistant professor of mathematics.

Filed under brain neuron neural computaion mathematical model neural dynamics neuroscience science

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Brainwave Training Boosts Network for Cognitive Control and Predicts Mind Wandering
A breakthrough study conducted in Canada has found that training of the well-known brainwave in humans, the alpha rhythm, enhances a brain network responsible for cognitive-control which correlates with reductions in mind-wandering. The training technique, termed neurofeedback, is being considered as a promising method for restoring brain function in mental disorders. Using several neuroimaging methods, a team of researchers working at the University of Western Ontario have now uncovered that functional changes within a key brain network occur directly after a 30-minute session of noninvasive, neural-based training. Dysfunction of this cognitive-control network has previously been implicated in a range of brain disorders including attentional deficit hyperactivity disorder, schizophrenia, depression and post-traumatic stress disorder.

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Brainwave Training Boosts Network for Cognitive Control and Predicts Mind Wandering

A breakthrough study conducted in Canada has found that training of the well-known brainwave in humans, the alpha rhythm, enhances a brain network responsible for cognitive-control which correlates with reductions in mind-wandering. The training technique, termed neurofeedback, is being considered as a promising method for restoring brain function in mental disorders. Using several neuroimaging methods, a team of researchers working at the University of Western Ontario have now uncovered that functional changes within a key brain network occur directly after a 30-minute session of noninvasive, neural-based training. Dysfunction of this cognitive-control network has previously been implicated in a range of brain disorders including attentional deficit hyperactivity disorder, schizophrenia, depression and post-traumatic stress disorder.

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Filed under brain brain waves neurofeedback neuroimaging neuroscience psychology alpha rhythm science

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Brain waves reveal video game aptitude
Scientists report that they can predict who will improve most on an unfamiliar video game by looking at their brain waves. They describe their findings in a paper in the journal Psychophysiology.
The researchers used electroencephalography (EEG) to peek at electrical activity in the brains of 39 study subjects before they trained on Space Fortress, a video game developed for cognitive research. The subjects whose brain waves oscillated most powerfully in the alpha spectrum (about 10 times per second, or 10 hertz) when measured at the front of the head tended to learn at a faster rate than those whose brain waves oscillated with less power, the researchers found. None of the subjects were daily video game players.
The EEG signal was a robust predictor of improvement on the game, said University of Illinois postdoctoral researcher and Beckman Fellow Kyle Mathewson, who led the research with psychology professors and Beckman Institute faculty members Monica Fabiani and Gabriele Gratton.
“By measuring your brain waves the very first time you play the game, we can predict how fast you’ll learn over the next month,” Mathewson said. The EEG results predicted about half of the difference in learning speeds between study subjects, he said.

Brain waves reveal video game aptitude

Scientists report that they can predict who will improve most on an unfamiliar video game by looking at their brain waves. They describe their findings in a paper in the journal Psychophysiology.

The researchers used electroencephalography (EEG) to peek at electrical activity in the brains of 39 study subjects before they trained on Space Fortress, a video game developed for cognitive research. The subjects whose brain waves oscillated most powerfully in the alpha spectrum (about 10 times per second, or 10 hertz) when measured at the front of the head tended to learn at a faster rate than those whose brain waves oscillated with less power, the researchers found. None of the subjects were daily video game players.

The EEG signal was a robust predictor of improvement on the game, said University of Illinois postdoctoral researcher and Beckman Fellow Kyle Mathewson, who led the research with psychology professors and Beckman Institute faculty members Monica Fabiani and Gabriele Gratton.

“By measuring your brain waves the very first time you play the game, we can predict how fast you’ll learn over the next month,” Mathewson said. The EEG results predicted about half of the difference in learning speeds between study subjects, he said.

Filed under brain brainwaves oscillations brain function alpha waves neuroscience psychology science

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MRI research sheds new light on nerve fibres in the brain
World-leading experts in Magnetic Resonance Imaging from The University of Nottingham’s Sir Peter Mansfield Magnetic Resonance Centre have made a key discovery which could give the medical world a new tool for the improved diagnosis and monitoring of neuro-degenerative diseases like multiple sclerosis.
The new study, published in the Proceedings of the National Academy of Science, reveals why images of the brain produced using the latest MRI techniques are so sensitive to the direction in which nerve fibres run.
The white matter of the brain is made up of billions of microscopic nerve fibres that pass information in the form of tiny electrical signals. To increase the speed at which these signals travel, each nerve fibre is encased by a sheath formed from a fatty substance, called myelin. Previous studies have shown that the appearance of white matter in magnetic resonance images depends on the angle between the nerve fibres and the direction of the very strong magnetic field used in an MRI scanner.

MRI research sheds new light on nerve fibres in the brain

World-leading experts in Magnetic Resonance Imaging from The University of Nottingham’s Sir Peter Mansfield Magnetic Resonance Centre have made a key discovery which could give the medical world a new tool for the improved diagnosis and monitoring of neuro-degenerative diseases like multiple sclerosis.

The new study, published in the Proceedings of the National Academy of Science, reveals why images of the brain produced using the latest MRI techniques are so sensitive to the direction in which nerve fibres run.

The white matter of the brain is made up of billions of microscopic nerve fibres that pass information in the form of tiny electrical signals. To increase the speed at which these signals travel, each nerve fibre is encased by a sheath formed from a fatty substance, called myelin. Previous studies have shown that the appearance of white matter in magnetic resonance images depends on the angle between the nerve fibres and the direction of the very strong magnetic field used in an MRI scanner.

Filed under brain MRI nerve fibre MS myelin sheath neuroscience science

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Neuroscientists propose a revolutionary DNA-based approach to map wiring of the whole brain
A team of neuroscientists have proposed a new and potentially revolutionary way of obtaining a neuronal connectivity map (the “connectome”) of the whole brain of the mouse. The details are set forth in an essay published October 23 in the open-access journal PLOS Biology.
The team, led by Professor Anthony Zador, Ph.D., of Cold Spring Harbor Laboratory, aims to provide a comprehensive account of neural connectivity. At present the only method for obtaining this information with high precision relies on examining individual cell-to-cell contacts (synapses) in electron microscopes. But such methods are slow, expensive and labor-intensive.
Zador and colleagues instead propose to exploit high-throughput DNA sequencing to probe the connectivity of neural circuits at the resolution of single neurons.
“Our method renders the connectivity problem in a format in which the data are readable by currently available high-throughput genome sequencing machines,” says Zador. “We propose to do this via a process we’re now developing, called BOINC: the barcoding of individual neuronal connections.”
The proposal comes at a time when a number of scientific teams in the U.S. are progressing in their efforts to map connections in the mammalian brain. These efforts use injections of tracer dyes or viruses to map neuronal connectivity at a “mesoscopic” scale—a mid-range resolution that makes it possible to follow neural fibers between brain regions.  Other groups are scaling up approaches based on electron microscopy.

Neuroscientists propose a revolutionary DNA-based approach to map wiring of the whole brain

A team of neuroscientists have proposed a new and potentially revolutionary way of obtaining a neuronal connectivity map (the “connectome”) of the whole brain of the mouse. The details are set forth in an essay published October 23 in the open-access journal PLOS Biology.

The team, led by Professor Anthony Zador, Ph.D., of Cold Spring Harbor Laboratory, aims to provide a comprehensive account of neural connectivity. At present the only method for obtaining this information with high precision relies on examining individual cell-to-cell contacts (synapses) in electron microscopes. But such methods are slow, expensive and labor-intensive.

Zador and colleagues instead propose to exploit high-throughput DNA sequencing to probe the connectivity of neural circuits at the resolution of single neurons.

“Our method renders the connectivity problem in a format in which the data are readable by currently available high-throughput genome sequencing machines,” says Zador. “We propose to do this via a process we’re now developing, called BOINC: the barcoding of individual neuronal connections.”

The proposal comes at a time when a number of scientific teams in the U.S. are progressing in their efforts to map connections in the mammalian brain. These efforts use injections of tracer dyes or viruses to map neuronal connectivity at a “mesoscopic” scale—a mid-range resolution that makes it possible to follow neural fibers between brain regions.  Other groups are scaling up approaches based on electron microscopy.

Filed under brain connectome BOINC barcoding technique DNA neuron neuroscience science

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Why Some People See Sound
Some people may actually see sounds, say researchers who found this odd ability is possible when the parts of the brain devoted to vision are small.
These findings points to a clever strategy the brain might use when vision is unreliable, investigators added.
Scientists took a closer look at the sound-induced flash illusion. When a single flash is followed by two bleeps, people sometimes also see two illusory consecutive flashes.
Past experiments revealed there are strong differences between individuals when it comes to how prone they are to this illusion. “Some would experience it almost every time a flash was accompanied by two bleeps, others would almost never see the second flash,” said researcher Benjamin de Haas, a neuroscientist at University College London.

These differences suggested to de Haas and his colleagues that maybe variations in brain anatomy were behind who saw the illusion and who did not. To find out, the researchers analyzed the brains of 29 volunteers with magnetic resonance imaging (MRI) and tested them with flashes and bleeps.
On average, the volunteers saw the illusion 62 percent of the time, although some saw it only 2 percent of the time while others saw it 100 percent of the time. They found the smaller a person’s visual cortex was — the part of the brain linked with vision —the more likely he or she experienced the illusion.
"If we both look at the same thing, we would expect our perception to be identical," de Haas told LiveScience. "Our results demonstrate that this not quite true in every situation — sometimes what you perceive depends on your individual brain anatomy."
The researchers suggest this illusion could reveal a way the brain compensates for imperfect visual circuitry.

Why Some People See Sound

Some people may actually see sounds, say researchers who found this odd ability is possible when the parts of the brain devoted to vision are small.

These findings points to a clever strategy the brain might use when vision is unreliable, investigators added.

Scientists took a closer look at the sound-induced flash illusion. When a single flash is followed by two bleeps, people sometimes also see two illusory consecutive flashes.

Past experiments revealed there are strong differences between individuals when it comes to how prone they are to this illusion. “Some would experience it almost every time a flash was accompanied by two bleeps, others would almost never see the second flash,” said researcher Benjamin de Haas, a neuroscientist at University College London.

These differences suggested to de Haas and his colleagues that maybe variations in brain anatomy were behind who saw the illusion and who did not. To find out, the researchers analyzed the brains of 29 volunteers with magnetic resonance imaging (MRI) and tested them with flashes and bleeps.
On average, the volunteers saw the illusion 62 percent of the time, although some saw it only 2 percent of the time while others saw it 100 percent of the time. They found the smaller a person’s visual cortex was — the part of the brain linked with vision —the more likely he or she experienced the illusion.

"If we both look at the same thing, we would expect our perception to be identical," de Haas told LiveScience. "Our results demonstrate that this not quite true in every situation — sometimes what you perceive depends on your individual brain anatomy."

The researchers suggest this illusion could reveal a way the brain compensates for imperfect visual circuitry.

Filed under brain illusion sound-induced flash illusion vision perception neuroscience psychology science

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Electrical stimulation of brain area causes strange visual illusions

A new study shows that electrical stimulation of a small patch of the brain causes illusions that only affect the perception of faces. (Matt Cardy/Getty Images)

Ron Blackwell didn’t enter the hospital expecting to see his doctor’s face melt before his eyes. But that’s exactly what happened when researchers electrically stimulated a small part of his brain, according to a study published Tuesday in the Journal of Neuroscience.

The doctor’s face did not actually melt, of course. Instead, the researchers argue, the stimulation short-circuited a brain area called the fusiform gyrus. Previous studies have linked a part of that area to face processing by showing that it becomes active when people perceive faces. But it’s hard to know just how important the area is for facial processing unless you can actually change its activity level while someone views faces.

Blackwell, an epileptic, turned out to be the perfect test case. He was in Stanford’s hospital so that doctors — including the study author, Dr. Josef Parvizi — could study his epilepsy and decide whether they could perform surgery to remove the part of the brain responsible for his seizures. As part of that procedure, Parvizi laid down a strip of electrodes on the surface of the brain. That gave him the capacity to painlessly and harmlessly stimulate the part of the brain they covered, and one of those electrodes was right over the fusiform gyrus.

Along with collaborators led by Stanford psychologist Kalanit Grill-Spector, Parvizi stimulated the area to see whether it would affect Blackwell’s perception of the doctor’s face. When he performed a sham stimulation — counting down from three and pressing a button that did nothing — Blackwell reported no change.

But when Parvizi applied voltage, strange things suddenly began to happen to Blackwell’s face perception. “You just turned into somebody else,” Blackwell said in a video that was recorded as part of the experiment. “Your face metamorphosed. Your nose got saggy, went to the left. You almost looked like somebody I’d seen before, but somebody different. That was a trip.” As soon as the electricity was turned off, Blackwell’s visualization of Parvizi’s face returned to normal.

Later, Blackwell confirmed that it was only the doctor’s face that changed — his body and hands remained the same.

Though only a single case, the experiment provides strong confirmatory evidence that the fusiform gyrus is indeed directly involved in processing face perception, and that the area is specialized for doing so.

(Source: Los Angeles Times)

Filed under brain brain stimulation fusiform gyrus face perception face recognition neuroscience psychology science

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Aggressive Brain Tumors Can Originate From a Range of Nervous System Cells 
Scientists have long believed that glioblastoma multiforme (GBM), the most aggressive type of primary brain tumor, begins in glial cells that make up supportive tissue in the brain or in neural stem cells. In a paper published October 18 in Science, however, researchers at the Salk Institute for Biological Studies have found that the tumors can originate from other types of differentiated cells in the nervous system, including cortical neurons.
GBM is one of the most devastating brain tumors that can affect humans. Despite progress in genetic analysis and classification, the prognosis of these tumors remains poor, with most patients dying within one to two years of diagnosis. The Salk researcher’s findings offer an explanation for the recurrence of GBM following treatment and suggest potential new targets to treat these deadly brain tumors.

"One of the reasons for the lack of clinical advances in GBMs has been the insufficient understanding of the underlying mechanisms by which these tumors originate and progress," says Inder Verma, a professor in Salk’s Laboratory of Genetics and the Irwin and Joan Jacobs Chair in Exemplary Life Science.
To better understand this process, Verma’s team harnessed the power of modified viruses, called lentiviruses, to disable powerful tumor suppressor genes that regulate the growth of cells and inhibit the development of tumors. With these tumor suppressors deactivated, cancerous cells are given free rein to grow out of control.

Aggressive Brain Tumors Can Originate From a Range of Nervous System Cells

Scientists have long believed that glioblastoma multiforme (GBM), the most aggressive type of primary brain tumor, begins in glial cells that make up supportive tissue in the brain or in neural stem cells. In a paper published October 18 in Science, however, researchers at the Salk Institute for Biological Studies have found that the tumors can originate from other types of differentiated cells in the nervous system, including cortical neurons.

GBM is one of the most devastating brain tumors that can affect humans. Despite progress in genetic analysis and classification, the prognosis of these tumors remains poor, with most patients dying within one to two years of diagnosis. The Salk researcher’s findings offer an explanation for the recurrence of GBM following treatment and suggest potential new targets to treat these deadly brain tumors.

"One of the reasons for the lack of clinical advances in GBMs has been the insufficient understanding of the underlying mechanisms by which these tumors originate and progress," says Inder Verma, a professor in Salk’s Laboratory of Genetics and the Irwin and Joan Jacobs Chair in Exemplary Life Science.

To better understand this process, Verma’s team harnessed the power of modified viruses, called lentiviruses, to disable powerful tumor suppressor genes that regulate the growth of cells and inhibit the development of tumors. With these tumor suppressors deactivated, cancerous cells are given free rein to grow out of control.

Filed under brain tumors nervous system glial cells lentiviruses neuroscience science

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How Does the Brain Process Art?

New imaging techniques are mapping the locations of our aesthetic response

In Michelangelo’s Expulsion from Paradise, a fresco panel on the ceiling of the Sistine Chapel, the fallen-from-grace Adam wards off a sword-wielding angel, his eyes averted from the blade and his wrist bent back defensively. It is a gesture both wretched and beautiful. But what is it that triggers the viewer’s aesthetic response—the sense that we’re right there with him, fending off blows?

Recently, neuroscientists and an art historian asked ten subjects to examine the wrist detail from the painting, and—using a technique called trans­cranial magnetic stimulation (TMS)—monitored what happened in their brains. The researchers found that the image excited areas in the primary motor cortex that controlled the observers’ own wrists.

“Just the sight of the raised wrist causes an activation of the muscle,” reports David Freedberg, the Columbia University art history professor involved in the study. This connection explains why, for instance, viewers of Degas’ ballerinas sometimes report that they experience the sensation of dancing—the brain mirrors actions depicted on the canvas.

Freedberg’s study is part of the new but growing field of neuroaesthetics, which explores how the brain processes a work of art. The discipline emerged 12 years ago with publication of British neuroscientist Semir Zeki’s book, Inner Vision: An Exploration of Art and the Brain. Today, related studies depend on increasingly sophisticated brain-imaging techniques, including TMS and functional magnetic resonance imaging (fMRI), which maps blood flow and oxygenation in the brain. Scientists might monitor an observer’s reaction to a classical sculpture, then warp the sculpture’s body proportions and observe how the viewer’s response changes. Or they might probe what occurs when the brain contemplates a Chinese landscape painting versus an image of a simple, repetitive task.

Ulrich Kirk, a neuroscientist at the Virginia Tech Carilion Research Institute, is also interested in artworks’ contexts. Would a viewer respond the same way to a masterpiece enshrined in the Louvre if he beheld the same work displayed in a less exalted setting, such as a garage sale? In one experiment, Kirk showed subjects a series ofimages—some, he explained, were fine artwork; others were created by Photoshop. In reality, none were Photoshop-generated; Kirk found that different areas of viewers’ brains fired up when he declared an image to be “art.”

Kirk also hopes one day to plumb the brains of artists themselves. “You might be able to image creativity as it happens, by putting known artists in the fMRI,” he says.

Others, neuroscientists included, worry that neuroscience offers a reductionist perspective. Vilayanur Ramachandran, a neuroscientist at the University of California at San Diego, says that neuro­aesthetics undoubtedly “enriches our understanding of human aesthetic experience.” However, he adds, “We have barely scratched the sur­face…the quintessence of art, and of genius, still eludes us—and may elude us forever.”

(Source: smithsonianmag.com)

Filed under art brain neuroimaging neuroscience psychology TMS fMRI science neuro­aesthetics

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