Neuroscience

Articles and news from the latest research reports.

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The Search for the Best Depression Treatment
Brain scans, blood samples, and other diagnostic tests could one day direct doctors to the best treatments for depression patients and uncover the biological basis of the condition. 
When someone is diagnosed with depression, patient and doctor often begin a long trial-and-error process of testing different treatments. Sometimes they work, sometimes they don’t, so patients may try several options before finding the best one. But in the future, a brain scan, blood test, or some combination could help guide doctors to the best drugs, or lead them to suggest talk therapy.
Recently, Emory University researcher Helen Mayberg reported that a PET scan, a commonly used imaging method, can reveal whether a patient will respond better to an antidepressant or cognitive behavioral therapy. And in May, Medscape reported that David Mischoulon of Massachusetts General Hospital presented findings that the amount of a particular protein in the blood of depression patients could indicate whether a patient would do better by adding a form of folic acid to his or her treatment.
A key goal of such research is to distinguish between causes of depression. “The presence of certain biomarkers might give us a clue whether [a particular patient’s] depression is truly biologically driven, or whether it is depression like sadness over an event,” says Mischoulon. “If we can identify people who have these biological bases, it might suggest these patients might do better with medications, as opposed to psychotherapies or meditation.”
According to the World Health Organization, depression is the leading cause of disability globally. Many people do not seek or do not have access to treatment, and among those who do, fewer than 40 percent of depression patients improve with the first type of treatment they try. The problem is not that treatments like antidepressants and cognitive behavioral therapy don’t work, it’s that no one treatment works for every patient. Researchers from many disciplines, from neuroscience to genomics, are studying this complex disorder, which likely represents many different conditions with unique origins and treatments. Large clinical trials to predict a patient’s response to therapy or drugs based on brain or body biomarkers could improve treatment for future patients and perhaps uncover a clearer understanding of depression’s origins.
“You see now a number of big studies on predictive biomarkers,” says Mayberg, who has pioneered pacemaker-like implants as a treatment for severe cases of depression. She’s also involved in a large study of patients who will be treated with antidepressants or cognitive behavioral therapy based on brain scans. “It’s going to be interesting over the next year or two to see how this plays out,” she says. One question will be whether researchers will be able to identify markers that are both unambiguous but also practical to test. Brain scans may be the best place to start, she says, because they focus on the origin of the condition, but once good biomarkers are identified via brain scan, surrogates found in the blood may provide a simpler and more affordable option.
One challenge for researchers is that depression is probably a conglomeration of many diseases, says Madhukar Trivedi, a University of Texas Southwestern researcher heading a large trial that is trying to distinguish patients who respond better to one type of antidepressant compared to another. “There are a lot of subtypes in depression, so any given marker, whether genetic, protein, imaging, or EEG, ends up accounting for only a small percentage of variance for any group of patients,” says Trivedi.   
If these researchers are successful, they could dramatically change how depression is treated and perhaps diagnosed. Doctors in the United States use the Diagnostic and Statistical Manual of Mental Disorders, or DSM, to diagnose depression. The diagnoses are largely based on the collection of symptoms presented or described by patients. In May, the head of the National Institute of Mental Health, Thomas Insel, announced that his institution would focus its research in areas other than the categories presented by the DSM. “Patients with mental disorders deserve better,” he said.
Bruce Cuthbert is heading the NIMH’s project to establish new ways of studying mental illness and potentially to improve future versions of the DSM by more precisely identifying the brain abnormalities in various diseases, including depression. The idea behind the project is to map out the genetic, circuit, and cognitive aspects of mental illness and to focus on individual features of disorders instead of clinical diagnoses. It could provide the information necessary to improve the DSM so that it is based on neuroscience and not just collections of symptoms. “In the future, we might define the disorders differently, or we might not. But this project will provide a framework to look at neural systems and how they operate and how that contributes to disease,” says Cuthbert.
Perhaps more immediately, the NIMH project could help researchers tune clinical trials of drugs to the right patients by focusing on discrete symptoms. For example, anhedonia, the inability to feel pleasure or seek pleasure, is a major symptom of depression, but it is also found in other patients, such as those with schizophrenia. By recruiting patients with measurable anhedonia, drug developers may be more likely to succeed in clinical trials than if they focused only on depression patients, says Cuthbert.
The NIMH project could also help to identify biomarkers of depression. “It could give us a structure to look at the pathology through different markers of the disease,” says Trivedi. “The goal is fantastic, but the proof is going to come in doing it.”

The Search for the Best Depression Treatment

Brain scans, blood samples, and other diagnostic tests could one day direct doctors to the best treatments for depression patients and uncover the biological basis of the condition.

When someone is diagnosed with depression, patient and doctor often begin a long trial-and-error process of testing different treatments. Sometimes they work, sometimes they don’t, so patients may try several options before finding the best one. But in the future, a brain scan, blood test, or some combination could help guide doctors to the best drugs, or lead them to suggest talk therapy.

Recently, Emory University researcher Helen Mayberg reported that a PET scan, a commonly used imaging method, can reveal whether a patient will respond better to an antidepressant or cognitive behavioral therapy. And in May, Medscape reported that David Mischoulon of Massachusetts General Hospital presented findings that the amount of a particular protein in the blood of depression patients could indicate whether a patient would do better by adding a form of folic acid to his or her treatment.

A key goal of such research is to distinguish between causes of depression. “The presence of certain biomarkers might give us a clue whether [a particular patient’s] depression is truly biologically driven, or whether it is depression like sadness over an event,” says Mischoulon. “If we can identify people who have these biological bases, it might suggest these patients might do better with medications, as opposed to psychotherapies or meditation.”

According to the World Health Organization, depression is the leading cause of disability globally. Many people do not seek or do not have access to treatment, and among those who do, fewer than 40 percent of depression patients improve with the first type of treatment they try. The problem is not that treatments like antidepressants and cognitive behavioral therapy don’t work, it’s that no one treatment works for every patient. Researchers from many disciplines, from neuroscience to genomics, are studying this complex disorder, which likely represents many different conditions with unique origins and treatments. Large clinical trials to predict a patient’s response to therapy or drugs based on brain or body biomarkers could improve treatment for future patients and perhaps uncover a clearer understanding of depression’s origins.

“You see now a number of big studies on predictive biomarkers,” says Mayberg, who has pioneered pacemaker-like implants as a treatment for severe cases of depression. She’s also involved in a large study of patients who will be treated with antidepressants or cognitive behavioral therapy based on brain scans. “It’s going to be interesting over the next year or two to see how this plays out,” she says. One question will be whether researchers will be able to identify markers that are both unambiguous but also practical to test. Brain scans may be the best place to start, she says, because they focus on the origin of the condition, but once good biomarkers are identified via brain scan, surrogates found in the blood may provide a simpler and more affordable option.

One challenge for researchers is that depression is probably a conglomeration of many diseases, says Madhukar Trivedi, a University of Texas Southwestern researcher heading a large trial that is trying to distinguish patients who respond better to one type of antidepressant compared to another. “There are a lot of subtypes in depression, so any given marker, whether genetic, protein, imaging, or EEG, ends up accounting for only a small percentage of variance for any group of patients,” says Trivedi.   

If these researchers are successful, they could dramatically change how depression is treated and perhaps diagnosed. Doctors in the United States use the Diagnostic and Statistical Manual of Mental Disorders, or DSM, to diagnose depression. The diagnoses are largely based on the collection of symptoms presented or described by patients. In May, the head of the National Institute of Mental Health, Thomas Insel, announced that his institution would focus its research in areas other than the categories presented by the DSM. “Patients with mental disorders deserve better,” he said.

Bruce Cuthbert is heading the NIMH’s project to establish new ways of studying mental illness and potentially to improve future versions of the DSM by more precisely identifying the brain abnormalities in various diseases, including depression. The idea behind the project is to map out the genetic, circuit, and cognitive aspects of mental illness and to focus on individual features of disorders instead of clinical diagnoses. It could provide the information necessary to improve the DSM so that it is based on neuroscience and not just collections of symptoms. “In the future, we might define the disorders differently, or we might not. But this project will provide a framework to look at neural systems and how they operate and how that contributes to disease,” says Cuthbert.

Perhaps more immediately, the NIMH project could help researchers tune clinical trials of drugs to the right patients by focusing on discrete symptoms. For example, anhedonia, the inability to feel pleasure or seek pleasure, is a major symptom of depression, but it is also found in other patients, such as those with schizophrenia. By recruiting patients with measurable anhedonia, drug developers may be more likely to succeed in clinical trials than if they focused only on depression patients, says Cuthbert.

The NIMH project could also help to identify biomarkers of depression. “It could give us a structure to look at the pathology through different markers of the disease,” says Trivedi. “The goal is fantastic, but the proof is going to come in doing it.”

Filed under depression biomarkers antidepressants CBT brain scans treatment psychology neuroscience science

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The Anorexic Brain

Neuroimaging improves understanding of eating disorder

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In a spacious hotel room not far from the beach in La Jolla, Calif., Kelsey Heenan gripped her fiancé’s hand. Heenan, a 20-year-old anorexic woman, couldn’t believe what she was hearing. Walter Kaye, director of the eating disorders program at the University of California, San Diego, was telling a handful of rapt patients and their family members what the latest brain imaging research suggested about their disorder.

It’s not your fault, he told them.

Heenan had always assumed that she was to blame for her illness. Kaye’s data told a different story. He handed out a pile of black-and-white brain scans — some showed the brains of healthy people, others were from people with anorexia nervosa. The scans didn’t look the same. “People were shocked,” Heenan says. But above all, she remembers, the group seemed to sigh in relief, breathing out years of buried guilt about the disorder. “It’s something in the way I was wired — it’s something I didn’t choose to do,” Heenan says. “It was pretty freeing to know that there could be something else going on.”

Years of psychological and behavioral research have helped scientists better understand some signs and triggers of anorexia. But that knowledge hasn’t straightened out the disorder’s tangled roots, or pointed scientists to a therapy that works for everyone. “Anorexia has a high death rate, it’s expensive to treat and people are chronically ill,” says Kaye.

Kaye’s program uses a therapy called family-based treatment, or FBT, to teach adolescents and their families how to manage anorexia. A year after therapy, about half of the patients treated with FBT recover. In the world of eating disorders, that’s success: FBT is considered one of the very best treatments doctors have. To many scientists, that just highlights how much about anorexia remains unknown.

Kaye and others are looking to the brain for answers. Using brain imaging tools and other methods to explore what’s going on in patients’ minds, researchers have scraped together clues that suggest anorexics are wired differently than healthy people. The mental brakes people use to curb impulsive instincts, for example, might get jammed in people with anorexia. Some studies suggest that just a taste of sugar can send parts of the brain barrelling into overdrive. Other brain areas appear numb to tastes — and even sensations such as pain. For people with anorexia, a sharp pang of hunger might register instead as a dull thud.

The mishmash of different brain imaging data is just beginning to highlight the neural roots of anorexia, Kaye says. But because starvation physically changes the brain, researchers can run into trouble teasing out whether glitchy brain wiring causes anorexia, or vice versa. Still, Kaye thinks understanding what’s going on in the brain may spark new treatment ideas. It may also help the eating disorder shake off some of its noxious stereotypes.

“One of the biggest problems is that people do not take this disease seriously,” says James Lock, an eating disorders researcher at Stanford University who cowrote the book on family-based treatment. “No one gets upset at a child who has cancer,” he says. “If the treatment is hard, parents still do it because they know they need to do it to make their child well.”

Pop culture often paints anorexics as willful young women who go on diets to be beautiful, he says. But, “you can’t just choose to be anorexic,” Lock adds. “The brain data may help counteract some of the mythology.”

Beyond dieting

A society that glamorizes thinness can encourage unhealthy eating behaviors in kids, scientists have shown. A 2011 study of Minnesota high school students reported that more than half of girls had dieted within the past year. Just under a sixth had used diet pills, vomiting, laxatives or diuretics.

But a true eating disorder goes well beyond an unhealthy diet. Anorexia involves malnutrition, excessive weight loss and often faulty thinking about one of the body’s most basic drives: hunger. The disorder is also rare. Less than 1 percent of girls develop anorexia. The disease crops up in boys too, but adolescent girls — especially in wealthy countries such as the U.S., Australia and Japan — are most likely to suffer from the illness.

As the disease progresses, people with anorexia become intensely afraid of getting fat and stick to extreme diets or exercise schedules to drop pounds. They also misjudge their own weight. Beyond these diagnostic hallmarks, patients’ symptoms can vary. Some refuse to eat, others binge and purge. Some live for years with the illness, others yo-yo between weight gain and loss. Though most anorexics gain back some weight within five years of becoming ill, anorexia is the deadliest of all mental disorders.

Though anorexia tends to run in families, scientists haven’t yet hammered out the suite of genes at play. Some individuals are particularly vulnerable to developing an eating disorder. In these people, stressful life changes, such as heading off to college, can tip the mental scales toward anorexia.

For decades, scientists have known that anorexic children behave a little differently. In school and sports, anorexic kids strive for perfection. Though Heenan, a former college basketball player, didn’t notice her symptoms creeping in until the end of high school, she remembers initiating strict practice regimens as a child. Starting in second grade, Heenan spent hours perfecting her jump shot, shooting the ball again and again until she had the technique exactly right — until her form was flawless.

“It’s very rare for me to see a person with anorexia in my office who isn’t a straight-A student,” Lock says. Even at an early age, people who later develop the eating disorder tend to exert an almost superhuman ability to practice, focus or study. “They will work and work and work,” says Lock. “The problem is they don’t know when to stop.”

In fact, many scientists think anorexics’ brains might be wired for willpower, for good and ill. Using new imaging tools that let scientists watch as a person’s mental gears grind through different tasks, researchers are starting to pin down how anorexic brains work overtime.

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Different wiring: Studies of the brains of people with anorexia have revealed a number of complex brain circuits that show changes in activity compared with healthy people. Medical RF, adapted by M. Atarod

Control signs

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To glimpse the circuits that govern self-control, experimental neuropsychologist Samantha Brooks uses functional magnetic resonance imaging, or fMRI, a tool that measures and maps brain activity. Last year, she and colleagues scanned volunteers as they imagined eating high-calorie foods, such as chocolate cake and French fries, or using inedible objects such as clothespins piled on a plate. One result gave Brooks a jolt. A center of self-control in anorexics’ brains sprung to life when the volunteers thought about food — but only in the women who severely restricted their calories, her team reported March 2012 in PLOS ONE.

The control center, two golf ball–sized chunks of tissue called the dorsolateral prefrontal cortex, or DLPFC, helps stamp out primitive urges. “They put a brake on your impulsive behaviors,” says Brooks, now at the University of Cape Town in South Africa.

For Brooks, discovering the DLPFC data was like finding a tiny vein of gold in a heap of granite. The control center could be the nugget that reveals how anorexics clamp down on their appetites. So she and her colleagues devised an experiment to test anorexics’ DLPFC. Using a memory task known to engage the brain region, the researchers quizzed volunteers while showing them subliminal images. The quizzes tested working memory, the mental tool that lets people hold  phone numbers in their heads while hunting for a pen and paper. Compared with healthy people, anorexics tended to get more answers right, Brooks’ team wrote June 2012 in Consciousness and Cognition. “The patients were really good,” Brooks says. “They hardly made any mistakes.”

A turbocharged working memory could help anorexics hold on to rules they set for themselves about food. “It’s like saying ‘I will only eat a salad at noon, I will only eat a salad at noon,’ over and over in your mind,” says Brooks. These mantras may become so ingrained that an anorexic person can’t escape them.

But looking at subliminal images of food distracted anorexics from the memory task. “Then they did just as well as the healthy people,” Brooks says. The results suggest that anorexic people might tap into their DLPFC control circuits when faced with food.

James Lock has also seen signs of self-control circuits gone awry in people with eating disorders. In 2011, he and colleagues scanned the brains of teenagers with different eating disorders while signaling them to push a button. While volunteers lay inside the fMRI machine, researchers flashed pictures of different letters on an interior screen. For every letter but “X,” Lock’s group told the teens to push a button. During the task, anorexic teens who obsessively cut calories tended to have more active visual circuits than healthy teens or those with bulimia, a disorder that compels people to binge and purge. The result isn’t easy to explain, says Lock. “Anorexics may just be more focused in on the task.”

Bulimics’ brains told a simpler story. When teens with bulimia saw the letter “X,” broad swaths of their brains danced with activity — more so than the healthy or calorie-cutting anorexic volunteers, Lock’s team reported in the American Journal of Psychiatry. For bulimics, controlling the impulse to push the button may take more brain power than for others, Lock says.

Though the data don’t reveal differences in self-control between anorexics and healthy people, Lock thinks that anorexics’ well-documented ability to swat away urges probably does have signatures in the brain. He notes that his study was small, and that the “healthy” people he used as a control group might have shared similarities with anorexics. “The people who tend to volunteer are generally pretty high performers,” he says. “The chances are good that my controls are a little bit more like anorexics than bulimics.”

Still, Lock’s results offered another flicker of proof that people with eating disorders might have glitches in their self-control circuits. A tight rein on urges could help steer anorexics toward illness, but the parts of their brain tuned into rewards, such as sugary snacks, may also be a little off track.

Sugar low

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When an anorexic woman unexpectedly gets a taste of sugar (yellow) or misses out on it (blue), her brain’s reward circuitry shows more activity than a healthy-weight or obese woman’s. Anorexics’ reward-processing systems may be out of order. Credit: G. Frank et al/ Neuropsychopharmacology 2012

For many anorexics, food just doesn’t taste very good. A classic symptom of the disorder is anhedonia, or trouble experiencing pleasure. Parts of Heenan’s past reflect the symptom. When she was ill, she had trouble remembering favorite dishes from childhood, for example — a blank spot common to anorexics. “I think I enjoyed some things,” she says. Beyond frozen yogurt, she can’t really rattle off a list.

After Heenan started seriously restricting her calories in college, only one aspect of food made her feel satisfied. Skipping, rather than eating, meals felt good, she says. Some of Heenan’s symptoms may have stemmed from frays in her reward wiring, the brain circuitry connecting food to pleasure. In the past few years, researchers have found that the chemicals coursing through healthy people’s reward circuits aren’t quite the same in anorexics. And studies in rodents have linked chemical changes in reward circuitry to under- and overeating.

To find out whether under- and overweight people had altered brain chemistry, eating disorder researcher Guido Frank of the University of Colorado Denver studied anorexic, healthy-weight and obese women. He and his colleagues trained volunteers to link images, such as orange or purple shapes, with the taste of a sweet solution, slightly salty water or no liquid. Then, the researchers scanned the women’s brains while showing them the shapes and dispensing tiny squirts of flavors. But the team threw in a twist: Sometimes the flavors didn’t match up with the right images.

When anorexics got an unexpected hit of sugar, a surge of activity bloomed in their brains. Obese people had the opposite response: Their brains didn’t register the surprise. Healthy-weight women fit somewhere in the middle, Frank’s team reported August 2012, in Neuropsychopharmacology. While obese people might not be sensitive to sweets anymore, a little sugar rush goes a long way for anorexics. “It’s just too much stimulation for them,” Frank says.

One of the lively regions in anorexics’ brains was the ventral striatum, a lump of nerve cells that’s part of a person’s reward circuitry. The lump picks up signals from dopamine, a chemical that rushes in when most people see a sugary treat.

Frank says that it’s possible cutting calories could sculpt a person’s brain chemistry, but he thinks some young people are just more likely to become sugar-sensitive than others. Frank suspects anorexics’ dopamine-sensing equipment might be out of alignment to begin with. And he may be onto something. Recently, researchers in Kaye’s lab at UCSD showed that the same chemical that makes people perk up when a coworker brings in a box of doughnuts might actually trigger anxiety in anorexics.

Mixed signals

Usually a rush of dopamine triggers euphoria or a boost of energy, says Ursula Bailer, a psychiatrist and neuroimaging researcher at UCSD. Anorexics don’t seem to pick up those good feelings. 

When Bailer and colleagues gave volunteers amphetamine, a drug known to trigger dopamine release, and then asked them to rate their feelings, healthy people stuck to a familiar script. The drug made them feel intensely happy, Bailer’s team described March 2012 in the International Journal of Eating Disorders. Researchers linked the volunteers’ happy feelings to a wave of dopamine flooding the brain, using an imaging technique to track the chemical’s levels.

But anorexics said something different. “People with anorexia didn’t feel euphoria — they got anxious,” Bailer says. And the more dopamine coursing through anorexics’ brains, the more anxious they felt. Anorexics’ reaction to the chemical could help explain why they steer clear of food — or at least foods that healthy people find tempting. “Anorexics don’t usually get anxious if you give them a plate of cucumbers,” Bailer says.

Beyond the anxiety finding, one other aspect of the study sticks out: Instead of examining sick patients, Bailer, Kaye and colleagues recruited women who had recovered from anorexia. By studying people whose brains are no longer starving, Kaye’s team hopes to sidestep the chicken-and-egg question of whether specific brain signatures predispose people to anorexia or whether anorexia carves those signatures in the brain.

Though Kaye says that there’s still a lot scientists don’t know about anorexia, he’s convinced it’s a disorder that starts in the brain. Compared with healthy children, anorexic children’s brains are getting different signals, he says. “Parents have to realize that it’s very hard for these kids to change.”

Kaye thinks imaging data can help families reframe their beliefs about anorexia, which might help them handle tough treatments. He thinks the data can also offer new insights into therapies tailored for anorexics’ specific traits.

Sensory underload

One trait Kaye has focused on is anorexics’ sense of awareness of their bodies. Peel back the outer lobes of the brain by the temples, and the bit that handles body awareness pops into view. These regions, little islands of tissue called the insula, are one of the first brain areas to register pain, taste and other sensations. When people hold their breath, for example, and feel the panicky claws of air hunger, “the insula lights up like crazy,” Kaye says.

Kaye and colleagues have shown that the insulas of people with anorexia seem to be somewhat dulled to sensations. In a recent study, his team strapped heat-delivering gadgets to volunteers’ arms and cranked the devices to painfully hot temperatures while measuring insula activity via fMRI.

Compared with healthy volunteers, bits of recovered anorexics’ insulas dimmed when the researchers turned up the heat. But when researchers simply warned that pain was coming, other parts of the brain region flared brightly, Kaye’s team reported in January in the International Journal of Eating Disorders. For people who have had anorexia, actually feeling pain didn’t seem as bad as anticipating it. “They don’t seem to be sensing things correctly,” says Kaye.

If anorexics can’t detect sensations like pain properly, they may also have trouble picking up other signals from the body, such as hunger. Typically when people get hungry, their insulas rev up to let them know. And in healthy hungry people, a taste of sugar really gets the insula excited. For anorexics, this hunger-sensing part of the brain seems numb. Parts of the insula barely perked up when recovered anorexic volunteers tasted sugar, Kaye’s team showed this June in the American Journal of Psychiatry. The findings “may help us understand why people can starve themselves and not get hungry,” Kaye says.

Though the brain region that tells people they’re hungry might have trouble detecting sweet signals, some reward circuits seem to overreact to the same cues. Combined with a tendency to swap happiness for anxiety, and a mental vise grip on behavior, anorexics might have just enough snags in their brain wiring to tip them toward disease.

Now, Kaye’s group hopes to tap neuroimaging data for new treatment ideas. One day, he thinks doctors might be able to help anorexics “train” their insulas using biofeedback. With real-time brain scanning, patients could watch as their insulas struggle to pick up sugar signals, and then practice strengthening the response. More effective treatment options could potentially spare anorexics the relapses many patients suffer.

Heenan says she’s one of the lucky ones. Four years have passed since she first saw the anorexic brain images at UCSD. In the months following her treatment, Heenan and her family worked together to rebuild her relationship with food. At first, her fiancé picked out all her meals, but step by step, Heenan earned autonomy over her diet. Today, Heenan, a coordinator for Minneapolis’ public schools, is married and has a new puppy. “Life can be good,” she says. “Life can be fun. I want other people to know the freedom that I do.”

Searching for treatments

The bowl of pasta sitting in front of Kelsey Heenan didn’t look especially scary.

Spaghetti, chopped asparagus and chunks of chicken glistened in an olive oil sauce. Usually, such savory fare might make a person’s mouth water. But when Heenan’s fiancé served her a portion, she started sobbing. “You can’t do this to me,” she told him. “I thought you loved me!”

Heenan was confronting her “fear foods” at the Eating Disorders Center for Treatment and Research at UCSD. Therapists in her treatment program, Intensive Multi-Family Therapy, spend five days teaching anorexic patients and families about the disorder and how to encourage healthy eating. “There’s no blame,” says Christina Wierenga, a clinical neuropsychologist at UCSD. “The focus is just on having the parent refeed the child.” Therapists lay out healthy meals and portion sizes for teens, bolster parents’ self-confidence and hammer home the dangers of not eating. Heenan compares the experience to boot camp. But by the end of her time at the center, she says, “I was starting to see glimpses of what life could be like as a healthy person.”

Treatment options for anorexia include a broad mix of behavioral and medication-based therapies. Most don’t work very well, and many lack the support of evidence-based trials. Hospitalizing patients can boost short-term weight gain, “but when people go home they lose all the weight again,” says Stanford University’s James Lock, one of the architects of family-based treatment. That treatment is currently considered the most effective therapy for adolescent anorexics.

In a 2010 clinical trial, half of teens who underwent FBT maintained a normal weight a year after therapy. In contrast, only a fifth of teens treated with adolescent-focused individual therapy, which aims to help kids cope with emotions without using starvation, hit the healthy weight goal.

Few good options exist for adult anorexics, a group notorious for dropping out of therapy. New work hints that cognitive remediation therapy, or CRT, which uses cognitive exercises to change anorexics’ behaviors, has potential. After two months of CRT, only 13 percent of patients abandoned treatment, and most regained some weight, Lock and colleagues reported in the April International Journal of Eating Disorders. Researchers still need to find out, however, if CRT helps patients keep weight on long-term.

(Source: sciencenews.org)

Filed under anorexia nervosa neuroimaging brain scans eating disorders psychology neuroscience science

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New drugs to find the right target to fight Alzheimer’s disease

Next-generation drugs designed to fight Alzheimer’s disease look very promising. Scientists have unveiled the mechanisms behind two classes of compound currently being tested in clinical trials. They have also identified a likely cause of early-onset hereditary forms of the disease.

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The future is looking good for drugs designed to combat Alzheimer’s disease. EPFL scientists have unveiled how two classes of drug compounds currently in clinical trials work to fight the disease. Their research suggests that these compounds target the disease-causing peptides with high precision and with minimal side-effects. At the same time, the scientists offer a molecular explanation for early-onset hereditary forms of Alzheimer’s, which can strike as early as thirty years of age. The conclusions of their research, which has been published in the journal Nature Communications, are very encouraging regarding the future of therapeutic means that could keep Alzheimer’s disease in check.

Alzheimer’s disease is characterized by an aggregation of small biological molecules known as amyloid peptides. We all produce these molecules; they play an essential antioxidant role. But in people with Alzheimer’s disease, these peptides aggregate in the brain into toxic plaques – called “amyloid plaques” – that destroy the surrounding neurons.

The process starts with a long protein, “APP”, which is located across the neuron’s membrane. This protein is cut into several pieces by an enzyme, much like a ribbon is cut by scissors. The initial cut generates a smaller intracellular protein that plays a useful role in the neuron. Another cut releases the rest of APP outside the cell – this part is the amyloid peptide.

For reasons not yet well understood, APP protein can be cut in several different places, producing amyloid peptides that are of varying lengths. Only the longer forms of the amyloid peptide carry the risk of aggregating into plaques, and people with Alzheimer’s disease produce an abnormally high number of these.

A favorite Alzheimer’s target: gamma secretase

The two next-generation classes of compound that are currently in clinical trials target an enzyme that cuts APP, known as gamma secretase. Until now, our understanding of the mechanism involved has been lacking. But with this work, the EPFL researchers were able to shed some more light on it by determining how the drug compounds affect gamma secretase and its cutting activity.

In most forms of Alzheimer’s, abnormally large quantities of the long amyloid peptide 42 – named like that because it contains 42 amino acids – are formed. The drug compounds change the location where gamma secretase cuts the APP protein, thus producing amyloid peptide 38 instead of 42, which is shorter and does not aggregate into neurotoxic plaques.

Compared to previous therapeutic efforts, this is considerable progress. In 2010, Phase III clinical trials had to be abandoned, because the compound being tested inhibited gamma-secretase’s function across the board, meaning that the enzyme was also deactivated in essential cellular differentiation processes, resulting to side-effects like in gastrointestinal bleeding and skin cancer.

“Scientists have been trying to target gamma secretase to treat Alzheimer’s for over a decade,” explains Patrick Fraering, senior author on the study and Merck Serono Chair of Neurosciences at EPFL. “Our work suggests that next-generation molecules, by modulating rather than inhibiting the enzyme, could have few, if any, side-effects. It is tremendously encouraging.”

New insights into hereditary forms of the disease

During their investigation, the scientists also identified possible causes behind some hereditary forms of Alzheimer’s disease. Early-onset Alzheimer’s can appear as early as thirty years of age, with a life expectancy of only a few years. In vitro experiments and numerical simulations show that in early-onset patients, mutations in the APP protein gene modify the way by which APP is cut by the gamma-secretase enzyme. This results in overproduction of amyloid peptide 42, which then aggregates into amyloid plaques.

This research illuminates much that is unknown about Alzheimer’s disease. “We have obtained extraordinary knowledge about how gamma secretase can be modulated,” explains co-author Dirk Beher, scientific chief officer of Asceneuron, a spin-off of Merck Serono, the biopharmaceutical division of Merck KGaA, Darmstadt, Germany. “This knowledge will be invaluable for developing even better targeted drugs to fight the disease.”

(Source: actu.epfl.ch)

Filed under alzheimer's disease amyloid plaques dementia medicine neuroscience science

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New Findings Could Help Improve Development of Drugs for Addiction

Scientists from the Florida campus of The Scripps Research Institute have described findings that could enable the development of more effective drugs for addiction with fewer side effects.

The study, published in the August 2, 2013 issue of the Journal of Biological Chemistry, showed in a combination of cell and animal studies that one active compound maintains a strong bias towards a single biological pathway, providing insight into what future drugs could look like.

The compound examined in the study, known as 6’- guanidinonaltrindole (6’-GNTI), targets the kappa opioid receptor (KOR). Located on nerve cells, KOR plays a role in the release of dopamine, a neurotransmitter that plays a key role in drug addiction. Drugs of abuse often cause the brain to release large amounts of dopamine, flooding the brain’s reward system and reinforcing the addictive cycle.

“There are a number of drug discovery efforts ongoing for KOR,” said Laura Bohn, a TSRI associate professor, who led the study. “The ultimate question is how this receptor should be acted upon to achieve the best therapeutic effects. Our study identifies a marker that shows how things normally happen in live neurons—a critically important secondary test to evaluate potential compounds.”

While KOR has become the focus for drug discovery efforts aimed at treating addiction and mood disorders, KOR can react to signals that originate independently from multiple biological pathways, so current drug candidates targeting KOR often produce unwanted side effects. Compounds that activate KOR can decrease the rewarding effects of abused drugs, but also induce sedation and depression.

The new findings, from studies of nerve cells in the striatum (an area of the brain involved in motor activity and higher brain function), reveal a point on the KOR signaling pathway that may prove to be an important indicator of whether drug candidates can produce effects similar to the natural biological effects.

“Standard screening assays can catch differences but those differences may not play out in live tissue,” Bohn noted. “Essentially, we have shown an important link between cell-based screening assays and what occurs naturally in animal models.”

(Source: scripps.edu)

Filed under drug addiction dopamine addiction kappa opioid receptor striatum medicine neuroscience science

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Injuries From Teen Fighting Deal a Blow to IQ 
New study explores connection between physical fights, cognitive decline
A new Florida State University study has found that adolescent boys who are hurt in just two physical fights suffer a loss in IQ that is roughly equivalent to missing an entire year of school. Girls experience a similar loss of IQ after only a single fighting-related injury.
The findings are significant because decreases in IQ are associated with lower educational achievement and occupational performance, mental disorders, behavioral problems and even longevity, the researchers said.
“It’s no surprise that being severely physically injured results in negative repercussions, but the extent to which such injuries affect intelligence was quite surprising,” said Joseph A. Schwartz, a doctoral student who conducted the study with Professor Kevin Beaver in FSU’s College of Criminology and Criminal Justice.
Their findings are outlined in the paper, “Serious Fighting-Related Injuries Produce a Significant Reduction in Intelligence,” which was published in the Journal of Adolescent Health. The study is among the first to look at the long-term effects of fighting during adolescence, a critical period of neurological development.
About 4 percent of high school students are injured as a result of a physical fight each year, the researchers said.
Schwartz and Beaver used data from the National Longitudinal Study of Adolescent Health collected between 1994 and 2002 to examine whether serious fighting-related injuries resulted in significant decreases in IQ over a 5- to 6-year time span. The longitudinal study began with a nationally representative sample of 20,000 middle and high school students who were tracked into adulthood through subsequent waves of data collection. At each wave of data collection, respondents were asked about a wide variety of topics, including personality traits, social relationships and the frequency of specific behaviors.
Perhaps not surprisingly, boys experienced a higher number of injuries from fighting than girls; however, the consequences for girls were more severe, a fact the researchers attributed to physiological differences that give males an increased ability to withstand physical trauma.
The researchers found that each fighting-related injury resulted in a loss of 1.62 IQ points for boys, while girls lost an average of 3.02 IQ points, even after controlling for changes in socio-economic status, age and race for both genders. Previous studies have indicated that missing a single year of school is associated with a loss of 2 to 4 IQ points.
The impact on IQ may be even greater when considering only head injuries, the researchers said. The data they studied took into account all fighting-related physical injuries.
The findings highlight the importance of schools and communities developing policies aimed at limiting injuries suffered during adolescence whether through fighting, bullying or contact sports, Schwartz said.
“We tend to focus on factors that may result in increases in intelligence over time, but examining the factors that result in decreases may be just as important,” he said. “The first step in correcting a problem is understanding its underlying causes. By knowing that fighting-related injuries result in a significant decrease in intelligence, we can begin to develop programs and protocols aimed at effective intervention.”

Injuries From Teen Fighting Deal a Blow to IQ

New study explores connection between physical fights, cognitive decline

A new Florida State University study has found that adolescent boys who are hurt in just two physical fights suffer a loss in IQ that is roughly equivalent to missing an entire year of school. Girls experience a similar loss of IQ after only a single fighting-related injury.

The findings are significant because decreases in IQ are associated with lower educational achievement and occupational performance, mental disorders, behavioral problems and even longevity, the researchers said.

“It’s no surprise that being severely physically injured results in negative repercussions, but the extent to which such injuries affect intelligence was quite surprising,” said Joseph A. Schwartz, a doctoral student who conducted the study with Professor Kevin Beaver in FSU’s College of Criminology and Criminal Justice.

Their findings are outlined in the paper, “Serious Fighting-Related Injuries Produce a Significant Reduction in Intelligence,” which was published in the Journal of Adolescent Health. The study is among the first to look at the long-term effects of fighting during adolescence, a critical period of neurological development.

About 4 percent of high school students are injured as a result of a physical fight each year, the researchers said.

Schwartz and Beaver used data from the National Longitudinal Study of Adolescent Health collected between 1994 and 2002 to examine whether serious fighting-related injuries resulted in significant decreases in IQ over a 5- to 6-year time span. The longitudinal study began with a nationally representative sample of 20,000 middle and high school students who were tracked into adulthood through subsequent waves of data collection. At each wave of data collection, respondents were asked about a wide variety of topics, including personality traits, social relationships and the frequency of specific behaviors.

Perhaps not surprisingly, boys experienced a higher number of injuries from fighting than girls; however, the consequences for girls were more severe, a fact the researchers attributed to physiological differences that give males an increased ability to withstand physical trauma.

The researchers found that each fighting-related injury resulted in a loss of 1.62 IQ points for boys, while girls lost an average of 3.02 IQ points, even after controlling for changes in socio-economic status, age and race for both genders. Previous studies have indicated that missing a single year of school is associated with a loss of 2 to 4 IQ points.

The impact on IQ may be even greater when considering only head injuries, the researchers said. The data they studied took into account all fighting-related physical injuries.

The findings highlight the importance of schools and communities developing policies aimed at limiting injuries suffered during adolescence whether through fighting, bullying or contact sports, Schwartz said.

“We tend to focus on factors that may result in increases in intelligence over time, but examining the factors that result in decreases may be just as important,” he said. “The first step in correcting a problem is understanding its underlying causes. By knowing that fighting-related injuries result in a significant decrease in intelligence, we can begin to develop programs and protocols aimed at effective intervention.”

Filed under cognitive decline brain injury fighting IQ adolescence neuroscience psychology science

700 notes

Study finds night owls more likely to be psychopaths
People who stay up late at night are more likely to display anti-social personality traits such as narcissism, Machiavellianism, and psychopathic tendencies, according to a study published by a University of Western Sydney researcher.

Dr Peter Jonason, from the UWS School of Social Sciences and Psychology, assessed over 250 people’s tendency to be a morning- or evening-type person to discover whether this was linked to the ‘Dark Triad’ of personality traits.

The results, published in Personality and Individual Differences, found students who were awake in the twilight hours displayed greater anti-social tendencies than those who went to bed earlier.

“Those who scored highly on the Dark Triad traits are, like many other predators such as lions and scorpions, creatures of the night,” he says.

"For people pursuing a fast life strategy like that embodied by the Dark Triad traits, it’s better to occupy and exploit a lowlight environment where others are sleeping and have diminished cognitive functioning."

Dr Jonason says there may be an evolutionary basis for the link between anti-social behaviour and a preference to being awake late at night.

“There is likely to be a co-evolutionary arms race between cheaters and those who wish to detect and punish them, and the Dark Triad traits may represent specialized adaptations to avoid detection,” he says.

“The features of the night - a low-light environment where others are sleeping - may facilitate the casual sex, mate-poaching, and risk-taking the Dark Triad traits are linked to.”

“Indeed, most crimes and most sexual activity peak at night, suggesting just such a link.”

Dr Jonason adds that far more work is needed, but these results represent an important advance in behavioural ecological and evolutionary psychological models of the Dark Triad, as well as ‘darker’ aspects of human nature and personality.

Study finds night owls more likely to be psychopaths

People who stay up late at night are more likely to display anti-social personality traits such as narcissism, Machiavellianism, and psychopathic tendencies, according to a study published by a University of Western Sydney researcher.

Dr Peter Jonason, from the UWS School of Social Sciences and Psychology, assessed over 250 people’s tendency to be a morning- or evening-type person to discover whether this was linked to the ‘Dark Triad’ of personality traits.

The results, published in Personality and Individual Differences, found students who were awake in the twilight hours displayed greater anti-social tendencies than those who went to bed earlier.

“Those who scored highly on the Dark Triad traits are, like many other predators such as lions and scorpions, creatures of the night,” he says.

"For people pursuing a fast life strategy like that embodied by the Dark Triad traits, it’s better to occupy and exploit a lowlight environment where others are sleeping and have diminished cognitive functioning."

Dr Jonason says there may be an evolutionary basis for the link between anti-social behaviour and a preference to being awake late at night.

“There is likely to be a co-evolutionary arms race between cheaters and those who wish to detect and punish them, and the Dark Triad traits may represent specialized adaptations to avoid detection,” he says.

“The features of the night - a low-light environment where others are sleeping - may facilitate the casual sex, mate-poaching, and risk-taking the Dark Triad traits are linked to.”

“Indeed, most crimes and most sexual activity peak at night, suggesting just such a link.”

Dr Jonason adds that far more work is needed, but these results represent an important advance in behavioural ecological and evolutionary psychological models of the Dark Triad, as well as ‘darker’ aspects of human nature and personality.

Filed under personality traits anti-social personality traits psychopathy narcissism mental health psychology neuroscience science

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Baby owls sleep like baby humans
Researchers at the Max Planck Institute for Ornithology and the University of Lausanne have discovered that the sleeping patterns of baby birds are similar to that of baby mammals. What is more, the sleep of baby birds appears to change in the same way as it does in humans. Studying barn owls in the wild, the researchers discovered that this change in sleep is strongly correlated with the expression of a gene involved in producing dark, melanic feather spots, a trait known to covary with behavioral and physiological traits in adult owls. These findings raise the intriguing possibility that sleep-related developmental processes in the brain contribute to the link between melanism and other traits observed in adult barn owls and other animals.
Sleep in mammals and birds consists of two phases, REM sleep (“Rapid Eye Movement Sleep”) and non-REM sleep. We experience our most vivid dreams during REM sleep, a paradoxical state characterized by awake-like brain activity. Despite extensive research, REM sleep’s purpose remains a mystery. One of the most salient features of REM sleep is its preponderance early in life. A variety of mammals spend far more time in REM sleep during early life than when they are adults. For example, as newborns, half of our time asleep is spent in REM sleep, whereas last night REM sleep probably encompassed only 20-25% percent of your time snoozing.Although birds are the only non-mammalian group known to clearly engage in REM sleep, it has been unclear whether sleep develops in the same manner in baby birds. Consequently, Niels Rattenborg of the MPIO, Alexandre Roulin of Unil, and their PhD student Madeleine Scriba, reexamined this question in a population of wild barn owls. They used an electroencephalogram (EEG) and movement data logger in conjunction with minimally invasive EEG sensors designed for use in humans, to record sleep in 66 owlets of varying age. During the recordings, the owlets remained in their nest box and were fed normally by their parents. After having their sleep patterns recorded for up to five days, the logger was removed. All of the owlets subsequently fledged and returned at normal rates to breed in the following year, indicating that there were no long-term adverse effects of eves-dropping on their sleeping brains.
Despite lacking significant eye movements (a trait common to owls), the owlets spent large amounts of time in REM sleep. “During this sleep phase, the owlets’ EEG showed awake-like activity, their eyes remained closed, and their heads nodded slowly”, reports Madeleine Scriba from the University of Lausanne (see video). Importantly, the researchers discovered that just as in baby humans, the time spent in REM sleep declined as the owlets aged.
In addition, the team examined the relationship between sleep and the expression of a gene in the feather follicles involved in producing dark, melanic feather spots. “As in several other avian and mammalian species, we have found that melanic spotting in owls covaries with a variety of behavioral and physiological traits, many of which also have links to sleep, such as immune system function and energy regulation”, notes Alexander Roulin from the University of Lausanne. Indeed, the team found that owlets expressing higher levels of the gene involved in melanism had less REM sleep than expected for their age, suggesting that their brains were developing faster than in owlets expressing lower levels of this gene. In line with this interpretation, the enzyme encoded by this gene also plays a role in producing hormones (thyroid and insulin) involved in brain development.
Although additional research is needed to determine exactly how sleep, brain development, and pigmentation are interrelated, these findings nonetheless raise several intriguing questions. Does variation in sleep during brain development influence adult brain organization? If so, does this contribute to the link between behavioral and physiological traits and melanism observed in adult owls? Do sleep and pigmentation covary in adult owls, and if so how does this influence their behavior and physiology? Finally, Niels Rattenborg from the Max Planck Institute for Ornithology in Seewiesen hopes that “this naturally occurring variation in REM sleep during a period of brain development can be used to reveal exactly what REM sleep does for the developing brain in baby owls, as well as humans.”

Baby owls sleep like baby humans

Researchers at the Max Planck Institute for Ornithology and the University of Lausanne have discovered that the sleeping patterns of baby birds are similar to that of baby mammals. What is more, the sleep of baby birds appears to change in the same way as it does in humans. Studying barn owls in the wild, the researchers discovered that this change in sleep is strongly correlated with the expression of a gene involved in producing dark, melanic feather spots, a trait known to covary with behavioral and physiological traits in adult owls. These findings raise the intriguing possibility that sleep-related developmental processes in the brain contribute to the link between melanism and other traits observed in adult barn owls and other animals.

Sleep in mammals and birds consists of two phases, REM sleep (“Rapid Eye Movement Sleep”) and non-REM sleep. We experience our most vivid dreams during REM sleep, a paradoxical state characterized by awake-like brain activity. Despite extensive research, REM sleep’s purpose remains a mystery. One of the most salient features of REM sleep is its preponderance early in life. A variety of mammals spend far more time in REM sleep during early life than when they are adults. For example, as newborns, half of our time asleep is spent in REM sleep, whereas last night REM sleep probably encompassed only 20-25% percent of your time snoozing.Although birds are the only non-mammalian group known to clearly engage in REM sleep, it has been unclear whether sleep develops in the same manner in baby birds. Consequently, Niels Rattenborg of the MPIO, Alexandre Roulin of Unil, and their PhD student Madeleine Scriba, reexamined this question in a population of wild barn owls. They used an electroencephalogram (EEG) and movement data logger in conjunction with minimally invasive EEG sensors designed for use in humans, to record sleep in 66 owlets of varying age. During the recordings, the owlets remained in their nest box and were fed normally by their parents. After having their sleep patterns recorded for up to five days, the logger was removed. All of the owlets subsequently fledged and returned at normal rates to breed in the following year, indicating that there were no long-term adverse effects of eves-dropping on their sleeping brains.

Despite lacking significant eye movements (a trait common to owls), the owlets spent large amounts of time in REM sleep. “During this sleep phase, the owlets’ EEG showed awake-like activity, their eyes remained closed, and their heads nodded slowly”, reports Madeleine Scriba from the University of Lausanne (see video). Importantly, the researchers discovered that just as in baby humans, the time spent in REM sleep declined as the owlets aged.

In addition, the team examined the relationship between sleep and the expression of a gene in the feather follicles involved in producing dark, melanic feather spots. “As in several other avian and mammalian species, we have found that melanic spotting in owls covaries with a variety of behavioral and physiological traits, many of which also have links to sleep, such as immune system function and energy regulation”, notes Alexander Roulin from the University of Lausanne. Indeed, the team found that owlets expressing higher levels of the gene involved in melanism had less REM sleep than expected for their age, suggesting that their brains were developing faster than in owlets expressing lower levels of this gene. In line with this interpretation, the enzyme encoded by this gene also plays a role in producing hormones (thyroid and insulin) involved in brain development.

Although additional research is needed to determine exactly how sleep, brain development, and pigmentation are interrelated, these findings nonetheless raise several intriguing questions. Does variation in sleep during brain development influence adult brain organization? If so, does this contribute to the link between behavioral and physiological traits and melanism observed in adult owls? Do sleep and pigmentation covary in adult owls, and if so how does this influence their behavior and physiology? Finally, Niels Rattenborg from the Max Planck Institute for Ornithology in Seewiesen hopes that “this naturally occurring variation in REM sleep during a period of brain development can be used to reveal exactly what REM sleep does for the developing brain in baby owls, as well as humans.”

Filed under birds sleep brain development sleep patterns gene expression melanism neuroscience science

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Alcoholism Could Be Linked to a Hyper-Active Brain Dopamine System

Those vulnerable to alcoholism may experience an unusually large response in the brain’s reward-seeking pathway when they take a drink

Research from McGill University suggests that people who are vulnerable to developing alcoholism exhibit a distinctive brain response when drinking alcohol, according to a new study by Prof. Marco Leyton, of McGill University’s Department of Psychiatry. Compared to people at low risk for alcohol-use problems, those at high risk showed a greater dopamine response in a brain pathway that increases desire for rewards. These findings, published in the journal Alcoholism: Clinical & Experimental Research, could help shed light on why some people are more at risk of suffering from alcoholism and could mark an important step toward the development of treatment options.

“There is accumulating evidence that there are multiple pathways to alcoholism, each associated with a distinct set of personality traits and neurobiological features”, said Prof. Leyton, a researcher in the Mental Illness and Addiction axis at the Research Institute of the McGill University Health Centre (RI-MUHC). “These individual differences likely influence a wide range of behaviors, both positive and problematic. Our study suggests that a tendency to experience a large dopamine response when drinking alcohol might contribute to one (or more) of these pathways.”

For the study, researchers recruited 26 healthy social drinkers (18 men, 8 women), 18 to 30 years of age, from the Montreal area. The higher-risk subjects were then identified based on personality traits and having a lower intoxication response to alcohol (they did not feel as drunk despite having drunk the same amount). Finally, each participant underwent two positron emission tomography (PET) brain scan exams after drinking either juice or alcohol (about 3 drinks in 15 minutes).

“We found that people vulnerable to developing alcoholism experienced an unusually large brain dopamine response when they took a drink,” said Leyton. “This large response might energize reward-seeking behaviors and counteract the sedative effects of alcohol. Conversely, people who experience minimal dopamine release when they drink might find the sedative effects of alcohol especially pronounced.”

“Although preliminary, the results are compelling,” said Dr. Leyton. “A much larger body of research has identified a role for dopamine in reward-seeking behaviors in general. For example, in both laboratory animals and people, increased dopamine transmission seems to enhance the attractiveness of reward-related stimuli. This effect likely contributes to why having one drink increases the probability of getting a second one – the alcohol-induced dopamine response makes the second drink look all the more desirable. If some people are experiencing unusually large dopamine responses to alcohol, this might put them at risk.”

“People with loved ones struggling with alcoholism often want to know two things: How did they develop this problem? And what can be done to help? Our study helps us answer the first question by furthering our understanding of the causes of addictions. This is an important step toward developing treatments and preventing the disorder in others.”

(Source: newswise.com)

Filed under alcoholism reward system dopamine brain response neuroscience science

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Largest neuronal network simulation achieved using K computer
By exploiting the full computational power of the Japanese supercomputer, K computer, researchers from the RIKEN HPCI Program for Computational Life Sciences, the Okinawa Institute of Technology Graduate University (OIST) in Japan and Forschungszentrum Jülich in Germany have carried out the largest general neuronal network simulation to date.
The simulation was made possible by the development of advanced novel data structures for the simulation software NEST. The relevance of the achievement for neuroscience lies in the fact that NEST is open-source software freely available to every scientist in the world.
Using NEST, the team, led by Markus Diesmann in collaboration with Abigail Morrison both now with the Institute of Neuroscience and Medicine at Jülich, succeeded in simulating a network consisting of 1.73 billion nerve cells connected by 10.4 trillion synapses. To realize this feat, the program recruited 82,944 processors of the K computer.  The process took 40 minutes to complete the simulation of 1 second of neuronal network activity in real, biological, time.
Although the simulated network is huge, it only represents 1% of the neuronal network in the brain. The nerve cells were randomly connected and the simulation itself was not supposed to provide new insight into the brain - the purpose of the endeavor was to test the limits of the simulation technology developed in the project and the capabilities of K. In the process, the researchers gathered invaluable experience that will guide them in the construction of novel simulation software.
This achievement gives neuroscientists a glimpse of what will be possible in the future, with the next generation of computers, so called exa-scale computers.
“If peta-scale computers like the K computer are capable of representing 1% of the network of a human brain today, then we know that simulating the whole brain at the level of the individual nerve cell and its synapses will be possible with exa-scale computers hopefully available within the next decade,” explains Diesmann.
Memory of 250.000 PCs
Simulating a large neuronal network and a process like learning requires large amounts of computing memory.  Synapses, the structures at the interface between two neurons, are constantly modified by neuronal interaction and simulators need to allow for these modifications.
More important than the number of neurons in the simulated network is the fact that during the simulation each synapse between excitatory neurons was supplied with 24 bytes of memory. This enabled an accurate mathematical description of the network.
In total, the simulator coordinated the use of about 1 petabyte of main memory, which corresponds to the aggregated memory of 250.000 PCs.
NEST
NEST is a widely used, general-purpose neuronal network simulation software available to the community as open source. The team ensured that their optimizations were of general character, independent of a particular hardware or neuroscientific problem. This will enable neuroscientists to use the software to investigate neuronal systems using normal laptops, computer clusters or, for the largest systems, supercomputers, and easily exchange their model descriptions.
A large, international project
Work on optimizing NEST for the K computer started in 2009 while the supercomputer was still under construction. Shin Ishii, leader of the brain science projects on K at the time, explains that: “Having access to the established supercomputers at Jülich, JUGENE and JUQUEEN, was essential, to prepare for K and cross-check results.”
Mitsuhisa Sato, of the RIKEN Advanced Institute for Computer Science, points out that: “Many researchers at many different Japanese and European institutions have been involved in this project, but the dedication of Jun Igarashi now at OIST, Gen Masumoto now at the RIKEN Advanced Center for Computing and Communication, Susanne Kunkel and Moritz Helias now at Forschungszentrum Jülich was key to the success of the endeavor.”
Paving the way for future projects
Kenji Doya of OIST, currently leading a project aiming to understand the neural control of movement and the mechanism of Parkinson’s disease, says: “The new result paves the way for combined simulations of the brain and the musculoskeletal system using the K computer. These results demonstrate that neuroscience can make full use of the existing peta-scale supercomputers.”
The achievement on K provides new technology for brain research in Japan and is encouraging news for the Human Brain Project (HBP) of the European Union, scheduled to start this October. The central supercomputer for this project will be based at Forschungszentrum Jülich.
The researchers in Japan and Germany are planning on continuing their successful collaboration in the upcoming era of exa-scale systems.

Largest neuronal network simulation achieved using K computer

By exploiting the full computational power of the Japanese supercomputer, K computer, researchers from the RIKEN HPCI Program for Computational Life Sciences, the Okinawa Institute of Technology Graduate University (OIST) in Japan and Forschungszentrum Jülich in Germany have carried out the largest general neuronal network simulation to date.

The simulation was made possible by the development of advanced novel data structures for the simulation software NEST. The relevance of the achievement for neuroscience lies in the fact that NEST is open-source software freely available to every scientist in the world.

Using NEST, the team, led by Markus Diesmann in collaboration with Abigail Morrison both now with the Institute of Neuroscience and Medicine at Jülich, succeeded in simulating a network consisting of 1.73 billion nerve cells connected by 10.4 trillion synapses. To realize this feat, the program recruited 82,944 processors of the K computer.  The process took 40 minutes to complete the simulation of 1 second of neuronal network activity in real, biological, time.

Although the simulated network is huge, it only represents 1% of the neuronal network in the brain. The nerve cells were randomly connected and the simulation itself was not supposed to provide new insight into the brain - the purpose of the endeavor was to test the limits of the simulation technology developed in the project and the capabilities of K. In the process, the researchers gathered invaluable experience that will guide them in the construction of novel simulation software.

This achievement gives neuroscientists a glimpse of what will be possible in the future, with the next generation of computers, so called exa-scale computers.

“If peta-scale computers like the K computer are capable of representing 1% of the network of a human brain today, then we know that simulating the whole brain at the level of the individual nerve cell and its synapses will be possible with exa-scale computers hopefully available within the next decade,” explains Diesmann.

Memory of 250.000 PCs

Simulating a large neuronal network and a process like learning requires large amounts of computing memory.  Synapses, the structures at the interface between two neurons, are constantly modified by neuronal interaction and simulators need to allow for these modifications.

More important than the number of neurons in the simulated network is the fact that during the simulation each synapse between excitatory neurons was supplied with 24 bytes of memory. This enabled an accurate mathematical description of the network.

In total, the simulator coordinated the use of about 1 petabyte of main memory, which corresponds to the aggregated memory of 250.000 PCs.

NEST

NEST is a widely used, general-purpose neuronal network simulation software available to the community as open source. The team ensured that their optimizations were of general character, independent of a particular hardware or neuroscientific problem. This will enable neuroscientists to use the software to investigate neuronal systems using normal laptops, computer clusters or, for the largest systems, supercomputers, and easily exchange their model descriptions.

A large, international project

Work on optimizing NEST for the K computer started in 2009 while the supercomputer was still under construction. Shin Ishii, leader of the brain science projects on K at the time, explains that: “Having access to the established supercomputers at Jülich, JUGENE and JUQUEEN, was essential, to prepare for K and cross-check results.”

Mitsuhisa Sato, of the RIKEN Advanced Institute for Computer Science, points out that: “Many researchers at many different Japanese and European institutions have been involved in this project, but the dedication of Jun Igarashi now at OIST, Gen Masumoto now at the RIKEN Advanced Center for Computing and Communication, Susanne Kunkel and Moritz Helias now at Forschungszentrum Jülich was key to the success of the endeavor.”

Paving the way for future projects

Kenji Doya of OIST, currently leading a project aiming to understand the neural control of movement and the mechanism of Parkinson’s disease, says: “The new result paves the way for combined simulations of the brain and the musculoskeletal system using the K computer. These results demonstrate that neuroscience can make full use of the existing peta-scale supercomputers.”

The achievement on K provides new technology for brain research in Japan and is encouraging news for the Human Brain Project (HBP) of the European Union, scheduled to start this October. The central supercomputer for this project will be based at Forschungszentrum Jülich.

The researchers in Japan and Germany are planning on continuing their successful collaboration in the upcoming era of exa-scale systems.

Filed under AI ANNs neural networks K computer NEST technology neuroscience science

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A new tool for brain research

Physicists and neuroscientists from The University of Nottingham and University of Birmingham have unlocked one of the mysteries of the human brain, thanks to new research using functional Magnetic Resonance Imaging (fMRI) and electroencephalography (EEG).

image

The work will enable neuroscientists to map a kind of brain function that up to now could not be studied, allowing a more accurate exploration of how both healthy and diseased brains work.

Functional MRI is commonly used to study how the brain works, by providing spatial maps of where in the brain external stimuli, such as pictures and sounds, are processed. The fMRI scan does this by detecting indirect changes in the brain’s blood flow in response to changes in electrical signalling during the stimulus.

Combining techniques

A signal change that happens after the stimulus has stopped is also observed with the fMRI scan. This is called the post-stimulus signal and up until now it has not been used to study how the brain works because its origin was uncertain.

In novel experiments, the research team has now combined fMRI techniques with EEG, which measures electrical activity in the brain, to show that the post-stimulus signal also actually reflects changes in brain signalling.

18 healthy volunteers were monitored by using EEG to measure the electrical activity generated by their brains’ neurons (the signalling cells) while simultaneously recording fMRI measurements. A stimulus of electrical pulses was used to activate the part of the brain that controls movement in the right thumb.

The scientists then compared the EEG and fMRI signals and found that they both vary in the same way after the stimulus stops. This provides compelling evidence that the post-stimulus fMRI signal is a measure of neuronal activity rather than just changes in the brain’s blood flow. Curiously, the team also found the post-stimulus fMRI signal was not consistent, even though the stimulus input to the brain was the same each time. This natural variability in the brain response was also reflected by the EEG activity and the researchers suggest that this signal might help the brain make the transition from processing stimuli back to their internal thoughts in different ways.

New window

Dr Karen Mullinger from The University of Nottingham’s Sir Peter Mansfield Magnetic Resonance Centre said: “This work opens a new window of time in the fMRI signal in which we can look at what the brain is doing. It may also open up new research avenues in exploring the function of the healthy brain and the study of neurological diseases.”

Dr Stephen Mayhew from Birmingham University Imaging Centre said “We do not know what the exact role of the post-stimulus activity is or why this response is not always consistent when the stimulus input to the brain is the same. We have already secured funding through the Birmingham-Nottingham Strategic Collaboration Fund to continue this research into further understanding of human brain function using combinations of neuroimaging methods.”

Director of the Sir Peter Mansfield Magnetic Resonance Centre, Professor Peter Morris, said: “Functional magnetic resonance imaging is the main tool available to cognitive neuroscientists for the investigation of human brain function. The demonstration in this paper, that the secondary fMRI response (the post-stimulus undershoot) is not simply a passive blood flow response, but is directly related to synchronous neural activity, as measured with EEG, heralds an exciting new chapter in our understanding of the workings of the human mind.”

The work has been funded by the Medical Research Council (MRC), Engineering and Physical Science Research Council (EPSRC), The University of Nottingham Anne McLaren Fellowships and University of Birmingham Fellowship and is published in the Proceedings of the National Academy of Sciences (PNAS).

(Source: nottingham.ac.uk)

Filed under neuroimaging fMRI EEG brain function brain activity neurological diseases neuroscience science

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