Neuroscience

Articles and news from the latest research reports.

Posts tagged neuroscience

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Brain study aims to improve dyslexia treatment

Neuroscientist Sarah Laszlo wants to understand what’s going on in children’s brains when they’re reading. Her research may untangle some of the mysteries surrounding dyslexia and lead to new methods of treating America’s most common learning disorder.

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“The brain can reveal things that aren’t necessarily visible on the surface,” she says. “It can tell you things about what’s going wrong that you can’t find out by giving a kid a test or asking him to read out loud.”

Laszlo, who joined Binghamton’s psychology department in 2011, recently received a five-year, $400,763grant from the National Science Foundation’s Early Career Development (CAREER) Program, the agency’s most prestigious award for young researchers. The funding will enable her to conduct a five-year brain activity study of 150 children with and without dyslexia.

Rather than lumping all children with dyslexia into one group, as many previous brain-imaging studies have done, Laszlo’s project will help to establish types and degrees of the disorder.

Her lab uses electroencephalography, or EEG, as a non-invasive way to measure the electrical signals sent between brain cells when they’re communicating with each other. Study participants — kids in kindergarten through fourth grade — wear a cap outfitted with special sensors while playing a computerized reading game.

These scans produce massive amounts of data: The cap’s 10 sensors collect readings 500 times per second for 45 minutes. That’s one reason that brain activity studies are expensive and time-consuming. It’s also the reason that a study of just 150 children is the largest study of its kind.

Kara Federmeier, a professor of psychology at the University of Illinois, says it’s not just the scale of the study that’s impressive; it’s also the project’s duration. “Sarah will be able to assess how the brain transitions from immature reading processes to mature reading processes,” Federmeier says. “Her project promises to provide important, novel data that may be critical for informing educational practices about teaching reading and clinical practices for assessing reading-related difficulties.”

Why study this disorder in particular? Laszlo notes that there are significant, sometimes lifelong consequences of growing up with dyslexia. Many dyslexic children don’t do as well in school as they might otherwise, which limits their career opportunities. Some also encounter social problems. “This has the potential to help a lot of people,” she says.

Laszlo hopes to identify the brain signatures of people with dyslexia and have a clear idea of how to help them. “Once you understand what’s going on in the brain,” she says, “you can do a better job of designing treatments.”

Today, the best-case scenario is that children with dyslexia receive interventions that enable them to get up to speed on reading aloud. But they may continue to lag behind their peers when it comes to comprehension, fluency and speed. “The treatments we have now don’t always fix the underlying problem,” Laszlo says. “They just put a Band-Aid on it. And when you go to do more complicated things, like reading larger passages, the Band-Aid doesn’t help.”

How to Participate

Participants in Sarah Laszlo’s Reading Brain Project play a computerized reading game while researchers measure their brain activity. Children in kindergarten through fourth grade are eligible for the Binghamton University study and will receive $50 or an equivalent gift for their time. To sign up your child, call 607-269-7271 or e-mail readingbrain@binghamton.edu. For more details, visit www.binghamton.edu/reading-brain.

(Source: discovere.binghamton.edu)

Filed under learning disorders dyslexia neuroimaging neuroscience science

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Essential Clue to Huntington’s Disease Solution

Researchers at McMaster University have discovered a solution to a long-standing medical mystery in Huntington’s disease (HD).

HD is a brain disease that can affect 1 in about 7,000 people in mid-life, causing an increasing loss of brain cells at the centre of the brain. HD researchers have known what the exact DNA change is that causes Huntington’s disease since 1993, but what is typically seen in patients does not lead to disease in animal models. This has made drug discovery difficult.

In this week’s issue of the science journal, the Proceedings of the National Academy of Sciences, professor Ray Truant’s laboratory at McMaster University’s Department of Biochemistry and Biomedical Sciences of the Michael G. DeGroote School of Medicine reveal how they developed a way to measure the shape of the huntingtin protein, inside of cell, while still alive. They then discovered was that the mutant huntingtin protein that causes disease was changing shape. This is the first time anyone has been able to see differences in normal and disease huntingtin with DNA defects that are typical in HD patients.

They went on to show that they can measure this shape change in cells derived from the skin cells of living Huntington’s disease patients.

“With mouse models, we know that some drugs can stop, and even reverse Huntington’s disease, but now we know exactly why,” said Truant. “The huntingtin protein has to take on a precise shape, in order to do its job in the cell. In Huntington’s disease, the right parts of the protein can’t line up to work properly. It’s like trying to use a paperclip after someone has bent it out of shape.”

The research also shows that the shape of disease huntingtin protein can be changed back to normal with chemicals that are in development as drugs for HD.  “We can refold the paper clip,” said Truant.

The methods they developed have been scaled up and used for large scale robotic drug screening, which is now ongoing with a pharmaceutical company. They are looking for drugs that can enter the brain more easily. Furthermore, they can tell if the shape of huntingtin has been corrected in patients undergoing drug trials, without relying on years to know if the HD is affected yet.

This research was a concerted effort from many sources: funding from the Canadian Foundation Institute and the Ontario Innovation Trust for an $11M microscopy centre at McMaster in 2006, ongoing support from the Canadian Institutes of Health Research, and important funding from the Toronto-based Krembil Foundation. The project was initiated with charity grant support from the Huntington Society of Canada, which allowed them to show this method was promising for further support.

The last piece of the puzzle was from the Huntington’s disease patient community, with skin cell donations from living patients and unaffected spouses that allowed the team to look at real human disease.

More information about Huntington’s Disease can be found at HDBuzz.net, a global website in eleven languages that takes primary published research articles and explains them to plain language to more than 300,000 non-scientists per month.

There are eight other diseases that have a similar DNA defects as Huntington’s disease, Truant’s group is now using similar tools to develop assays to measure shape changes in those diseases, to see if this shapeshifting is common in other diseases.

(Source: newswise.com)

Filed under huntington's disease huntingtin protein DNA defects neurodegeneration neuroscience science

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A possible blood test for Alzheimer’s disease?
A new blood test can be used to discriminate between people with Alzheimer’s disease and healthy controls. It’s hoped the test, described in the open access journal Genome Biology, could one day be used to help diagnose the disease and other degenerative disorders.
Alzheimer’s disease, the most common form of dementia, can only be diagnosed with certainty at autopsy, so the hunt is on to find reliable, non-invasive biomarkers for diagnosis in the living. Andreas Keller and colleagues focused on microRNAs (miRNAs), small non-coding RNA molecules known to influence the way genes are expressed, and which can be found circulating in bodily fluids including blood.
The team, from Saarland University and Siemens Healthcare highlighted and tested a panel of 12 miRNAs, levels of which were found to be different amongst a small sample of Alzheimer’s patients and healthy controls. In a much bigger sample, the test reliably distinguished between the two groups.
Decent biomarkers need to be accurate, sensitive (able to correctly identify people with the disease) and specific (able to correctly pinpoint people without the disease). The new test scores over 90% on all three measures. But whilst the test shows obvious promise, it still needs to be validated for clinical use, and may eventually work best when combined with other standard diagnostic tools, such as imaging, the authors say.
As people with other brain disorders can sometimes show Alzheimer’s-like symptoms, the team also looked for the miRNA signature in other patient groups. The test distinguished controls from people with various psychological disorders, such as schizophrenia and depression, with over 95% accuracy, and from patients with other neurodegenerative disorders, such as mild cognitive impairment and Parkinson’s disease, with lower accuracy. It also discriminated between  Alzheimer’s patients and patients with other neurodegenerative disorders, with an accuracy of around 75%. But by tweaking the miRNAs used in the test, accuracy could be improved.
The work builds on previous studies highlighting the potential of miRNAs as blood-based biomarkers for many diseases, including numerous cancers, and suggests that miRNAs could yield useful biomarkers for various brain disorders. But it also sheds light on the mechanisms underpinning Alzheimer’s disease. Two of the miRNAs are known involved in amyloid precursor protein processing, which itself is involved in the formation of plaques, a classic hallmark of Alzheimer’s disease.  And many of the miRNAs are believed to influence the growth and shape of neurons in the developing brain.
(Image: Reuters)

A possible blood test for Alzheimer’s disease?

A new blood test can be used to discriminate between people with Alzheimer’s disease and healthy controls. It’s hoped the test, described in the open access journal Genome Biology, could one day be used to help diagnose the disease and other degenerative disorders.

Alzheimer’s disease, the most common form of dementia, can only be diagnosed with certainty at autopsy, so the hunt is on to find reliable, non-invasive biomarkers for diagnosis in the living. Andreas Keller and colleagues focused on microRNAs (miRNAs), small non-coding RNA molecules known to influence the way genes are expressed, and which can be found circulating in bodily fluids including blood.

The team, from Saarland University and Siemens Healthcare highlighted and tested a panel of 12 miRNAs, levels of which were found to be different amongst a small sample of Alzheimer’s patients and healthy controls. In a much bigger sample, the test reliably distinguished between the two groups.

Decent biomarkers need to be accurate, sensitive (able to correctly identify people with the disease) and specific (able to correctly pinpoint people without the disease). The new test scores over 90% on all three measures. But whilst the test shows obvious promise, it still needs to be validated for clinical use, and may eventually work best when combined with other standard diagnostic tools, such as imaging, the authors say.

As people with other brain disorders can sometimes show Alzheimer’s-like symptoms, the team also looked for the miRNA signature in other patient groups. The test distinguished controls from people with various psychological disorders, such as schizophrenia and depression, with over 95% accuracy, and from patients with other neurodegenerative disorders, such as mild cognitive impairment and Parkinson’s disease, with lower accuracy. It also discriminated between  Alzheimer’s patients and patients with other neurodegenerative disorders, with an accuracy of around 75%. But by tweaking the miRNAs used in the test, accuracy could be improved.

The work builds on previous studies highlighting the potential of miRNAs as blood-based biomarkers for many diseases, including numerous cancers, and suggests that miRNAs could yield useful biomarkers for various brain disorders. But it also sheds light on the mechanisms underpinning Alzheimer’s disease. Two of the miRNAs are known involved in amyloid precursor protein processing, which itself is involved in the formation of plaques, a classic hallmark of Alzheimer’s disease.  And many of the miRNAs are believed to influence the growth and shape of neurons in the developing brain.

(Image: Reuters)

Filed under blood test alzheimer's disease dementia microRNAs neurodegenerative diseases neuroscience science

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Splice this: End-to-end annealing demonstrated in neuronal neurofilaments
While popularly publicized neuroscience research focuses on structural and functional connectomes, timing patterns of axonal spikes, neural plasticity, and other areas of inquiry, the intraneuronal environment also receives a great deal of investigative attention.
One example is the study of cytoskeletal polymers called neurofilaments –intermediate filaments of nerve cells that and a major component of the neuronal cytoskeleton believed to provide the axon with structural support. Neurofilaments are transported into axons where they accumulate during development, causing the axons to expand in girth. This is important because the cross-sectional area of an axon influences the rate of propagation of the nerve impulse. The space-filling properties of these polymers are maximized by spoke-like projection domains called side-arms that function to space the polymers apart. Once in the axons these polymers (which are barely 10 nm in diameter) can grow to reach remarkably long lengths – 100,000 nm (0.1 mm) or more – but how they attain such lengths and how their length is regulated is not known. Recently, scientists at The Ohio State University – who previously showed that neurofilaments and vimentin filaments expressed in nonneuronal cell lines can lengthen by joining ends in a process known as end-to-end annealing – demonstrated robust and efficient end-to-end annealing of neurofilaments in nerve cells. In additions, the researchers reported evidence for a neurofilament-severing mechanism.
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Splice this: End-to-end annealing demonstrated in neuronal neurofilaments

While popularly publicized neuroscience research focuses on structural and functional connectomes, timing patterns of axonal spikes, neural plasticity, and other areas of inquiry, the intraneuronal environment also receives a great deal of investigative attention.

One example is the study of cytoskeletal polymers called neurofilaments –intermediate filaments of nerve cells that and a major component of the neuronal cytoskeleton believed to provide the axon with structural support. Neurofilaments are transported into axons where they accumulate during development, causing the axons to expand in girth. This is important because the cross-sectional area of an axon influences the rate of propagation of the nerve impulse. The space-filling properties of these polymers are maximized by spoke-like projection domains called side-arms that function to space the polymers apart. Once in the axons these polymers (which are barely 10 nm in diameter) can grow to reach remarkably long lengths – 100,000 nm (0.1 mm) or more – but how they attain such lengths and how their length is regulated is not known. Recently, scientists at The Ohio State University – who previously showed that neurofilaments and vimentin filaments expressed in nonneuronal cell lines can lengthen by joining ends in a process known as end-to-end annealing – demonstrated robust and efficient end-to-end annealing of neurofilaments in nerve cells. In additions, the researchers reported evidence for a neurofilament-severing mechanism.

Read more

Filed under neurofilaments nerve cells nerve impulse axons neuroscience science

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Impaired visual signals might contribute to schizophrenia symptoms
By observing the eye movements of schizophrenia patients while playing a simple video game, a University of British Columbia researcher has discovered a potential explanation for some of their symptoms, including difficulty with everyday tasks.
The research, published in a recent issue of the Journal of Neuroscience, shows that, compared to healthy controls, schizophrenia patients had a harder time tracking a moving dot on the computer monitor with their eyes and predicting its trajectory. But the impairment of their eye movements was not severe enough to explain the difference in their predictive performance, suggesting a breakdown in their ability to interpret what they saw.
Lead author Miriam Spering, an assistant professor of ophthalmology and visual sciences, says the patients were having trouble generating or using an “efference copy” – a signal sent from the eye movement system in the brain indicating how much, and in what direction, their eyes have moved. The efference copy helps validate visual information from the eyes.
"An impaired ability to generate or interpret efference copies means the brain cannot correct an incomplete perception," says Spering, who conducted the dot-tracking experiments as a postdoctoral fellow at New York University, and is now conducting similar studies at UBC. The brain might fill in the blanks by extrapolating from prior experience, contributing to psychotic symptoms, such as hallucinations.
My vision would be a mobile device that patients could use to practice that skill, so they could more easily do common tasks that involve motion perception, such as walking along a crowded sidewalk.
"But just as a person might, through practice, improve their ability to predict the trajectory of a moving dot, a person might be able to improve their ability to generate or use that efference copy," Spering says. "My vision would be a mobile device that patients could use to practice that skill, so they could more easily do common tasks that involve motion perception, such as walking along a crowded sidewalk."

Impaired visual signals might contribute to schizophrenia symptoms

By observing the eye movements of schizophrenia patients while playing a simple video game, a University of British Columbia researcher has discovered a potential explanation for some of their symptoms, including difficulty with everyday tasks.

The research, published in a recent issue of the Journal of Neuroscience, shows that, compared to healthy controls, schizophrenia patients had a harder time tracking a moving dot on the computer monitor with their eyes and predicting its trajectory. But the impairment of their eye movements was not severe enough to explain the difference in their predictive performance, suggesting a breakdown in their ability to interpret what they saw.

Lead author Miriam Spering, an assistant professor of ophthalmology and visual sciences, says the patients were having trouble generating or using an “efference copy” – a signal sent from the eye movement system in the brain indicating how much, and in what direction, their eyes have moved. The efference copy helps validate visual information from the eyes.

"An impaired ability to generate or interpret efference copies means the brain cannot correct an incomplete perception," says Spering, who conducted the dot-tracking experiments as a postdoctoral fellow at New York University, and is now conducting similar studies at UBC. The brain might fill in the blanks by extrapolating from prior experience, contributing to psychotic symptoms, such as hallucinations.

My vision would be a mobile device that patients could use to practice that skill, so they could more easily do common tasks that involve motion perception, such as walking along a crowded sidewalk.

"But just as a person might, through practice, improve their ability to predict the trajectory of a moving dot, a person might be able to improve their ability to generate or use that efference copy," Spering says. "My vision would be a mobile device that patients could use to practice that skill, so they could more easily do common tasks that involve motion perception, such as walking along a crowded sidewalk."

Filed under schizophrenia eye movements motion perception neuroscience science

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Keeping your balance

It happens to all of us at least once each winter in Montreal. You’re walking on the sidewalk and before you know it you are slipping on a patch of ice hidden under a dusting of snow. Sometimes you fall. Surprisingly often you manage to recover your balance and walk away unscathed. McGill researchers now understand what’s going on in the brain when you manage to recover your balance in these situations. And it is not just a matter of good luck.

Prof. Kathleen Cullen and her PhD student Jess Brooks of the Dept of Physiology have been able to identify a distinct and surprisingly small cluster of cells deep within the brain that react within milliseconds to readjust our movements when something unexpected happens, whether it is slipping on ice or hitting a rock when skiing. What is astounding is that each individual neuron in this tiny region that is smaller than a pin’s head displays the ability to predict and selectively respond to unexpected motion.

This finding both overturns current theories about how we learn to maintain our balance as we move through the world, and also has significant implications for understanding the neural basis of motion sickness.

Scientists have theorized for some time that we fine-tune our movements and maintain our balance, thanks to a neural library of expected motions that we gain through “sensory conflicts” and errors. “Sensory conflicts” occur when there is a mismatch between what we think will happen as we move through the world and the sometimes contradictory information that our senses provide to us about our movements.

This kind of “sensory conflict” may occur when our bodies detect motion that our eyes cannot see (such as during plane, ocean or car travel), or when our eyes perceive motion that our bodies cannot detect (such as during an IMAX film, when the camera swoops at high speed over the edge of steep cliffs and deep into gorges and valleys while our bodies remain sitting still). These “sensory conflicts” are also responsible for the feelings of vertigo and nausea that are associated with motion sickness.

But while the areas of the brain involved in estimating spatial orientation have been identified for some time, until now, no one has been able to either show that distinct neurons signaling “sensory conflicts” existed, nor demonstrate exactly how they work. “We’ve known for some time that the cerebellum is the part of the brain that takes in sensory information and then causes us to move or react in appropriate ways,” says Prof. Cullen. “But what’s really exciting is that for the first time we show very clearly how the cerebellum selectively encodes unexpected motion, to then send our body messages that help us maintain our balance. That it is such a very exact neural calculation is exciting and unexpected.”

By demonstrating that these “sensory conflict” neurons both exist and function by making choices “on the fly” about which sensory information to respond to, Cullen and her team have made a significant advance in our understanding of how the brain works to keep our bodies in balance as we move about.

The research was done by recording brain activity in macaque monkeys who were engaged in performing specific tasks while at the same time being unexpectedly moved around by flight-simulator style equipment.

(Source: eurekalert.org)

Filed under motion sickness balance neurons cerebellum motor activity motion neuroscience science

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A neural code for navigation
Neurons in the rat brain use a preexisting set of firing sequences to encode future navigational experiences
Specialized neurons called place cells, located in the hippocampus region of the brain, fire when an animal is in a particular location in its environment, and it is the linear sequence of their firing that encodes in the brain movement trajectories from one location to another. Building on previous work, George Dragoi and Susumu Tonegawa from the RIKEN–MIT Center for Neural Circuit Genetics have now shown that place cells have a preexisting inventory of firing sequences that they can use to encode multiple novel routes of exploration.
Specific sequences of place cells are known to encode spatial experiences, but it has been debated whether such sequences are formed during a new experience or preformed and adapted to specific experiences when required. Dragoi and Tonegawa recently showed that ‘future’ place cells fire in sequence while the animal is asleep, prior to experiencing a novel environment, and that animals use this preexisting neuronal firing pattern to rapidly learn how to navigate their surroundings.
To confirm and investigate this mechanism further, the researchers first recorded the neuronal activity of place cells in rats during one hour of sleep. Next, they monitored this activity during movement along a track that the rat had not previously explored, and later recorded it during movement along the same track with two additional lengths separated by right-angle turns. They then correlated the temporal pattern of place cell activity recorded during sleep with the spatial pattern of activity recorded while the animals were freely exploring the longer track.
The researchers found that the sequences of place cell activity were unique for each of the three lengths of the track and matched those recorded during sleep. “We had observed the same sequences as independent clusters of correlated temporal sequences during the preceding sleep period,” explains Dragoi. 
The results suggest that rapid encoding of particular trajectories within novel environments is achieved during exploration by selecting from a set of preexisting temporal sequences that fired during sleep. In other words, hippocampal place cells appear to be prearranged into sets of sequential firing cells that can be adapted rapidly to encode for multiple spatial trajectories that the animal could undertake in its surroundings. Based on their data, Dragoi and Tonegawa predict that the sets of hippocampal place cells could encode for at least 15 unique future spatial experiences. In addition, their findings could explain the role that the hippocampus plays in humans in imagining future encounters within our own complex environment.

A neural code for navigation

Neurons in the rat brain use a preexisting set of firing sequences to encode future navigational experiences

Specialized neurons called place cells, located in the hippocampus region of the brain, fire when an animal is in a particular location in its environment, and it is the linear sequence of their firing that encodes in the brain movement trajectories from one location to another. Building on previous work, George Dragoi and Susumu Tonegawa from the RIKEN–MIT Center for Neural Circuit Genetics have now shown that place cells have a preexisting inventory of firing sequences that they can use to encode multiple novel routes of exploration.

Specific sequences of place cells are known to encode spatial experiences, but it has been debated whether such sequences are formed during a new experience or preformed and adapted to specific experiences when required. Dragoi and Tonegawa recently showed that ‘future’ place cells fire in sequence while the animal is asleep, prior to experiencing a novel environment, and that animals use this preexisting neuronal firing pattern to rapidly learn how to navigate their surroundings.

To confirm and investigate this mechanism further, the researchers first recorded the neuronal activity of place cells in rats during one hour of sleep. Next, they monitored this activity during movement along a track that the rat had not previously explored, and later recorded it during movement along the same track with two additional lengths separated by right-angle turns. They then correlated the temporal pattern of place cell activity recorded during sleep with the spatial pattern of activity recorded while the animals were freely exploring the longer track.

The researchers found that the sequences of place cell activity were unique for each of the three lengths of the track and matched those recorded during sleep. “We had observed the same sequences as independent clusters of correlated temporal sequences during the preceding sleep period,” explains Dragoi. 

The results suggest that rapid encoding of particular trajectories within novel environments is achieved during exploration by selecting from a set of preexisting temporal sequences that fired during sleep. In other words, hippocampal place cells appear to be prearranged into sets of sequential firing cells that can be adapted rapidly to encode for multiple spatial trajectories that the animal could undertake in its surroundings. Based on their data, Dragoi and Tonegawa predict that the sets of hippocampal place cells could encode for at least 15 unique future spatial experiences. In addition, their findings could explain the role that the hippocampus plays in humans in imagining future encounters within our own complex environment.

Filed under neuronal activity navigation place cells animal model hippocampus neuroscience science

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Isolated Psychiatric Episodes Rare, but Possible, in Common Form of Autoimmune Encephalitis

A small percentage of people diagnosed with a mysterious neurological condition may only experience psychiatric changes - such as delusional thinking, hallucinations, and aggressive behavior - according to a new study by researchers in the Perelman School of Medicine at the University of Pennsylvania. In addition, people who had previously been diagnosed with this disease, called anti-NMDA receptor (anti-NMDAR) encephalitis, had relapses that only involved psychiatric behavior. In an article published Online First in JAMA Neurology, researchers suggest that, while isolated psychiatric episodes are rare in anti-NMDAR encephalitis cases, abnormal test findings or subtle neurological symptoms should prompt screening for the condition, as it is treatable with immunotherapies.

Within a large group of 571 patients with confirmed Anti-NMDAR Encephalitis, only 23 patients (4 percent) had isolated psychiatric episodes. Of the 23, 5 patients experienced the onset of behavior changes as their only symptoms, without neurological changes, while 18 patients had psychiatric symptoms emerge at the outset of a relapse of Anti-NMDAR Encephalitis in which no neurological changes were identified. After being treated for the condition, 83 percent of these patients recovered substantially or completely.

"While many patients with Anti-NMDAR Encephalitis present with isolated psychiatric symptoms, most of these patients subsequently develop, in a matter of days, additional neurological symptoms which help to make the diagnosis of the disease. In the current study, we find out that a small percentage of patients do not develop neurological symptoms, or sometimes these are very subtle and transitory. Studies using brain MRI and analysis of the cerebrospinal fluid may help to demonstrate signs of inflammation," said Josep Dalmau, MD, PhD, adjunct professor of Neurology. "For patients who have been previously diagnosed with Anti-NMDAR Encephalitis and are in remission, any behavior change may present a relapse and should be tested quickly and treated aggressively."

Anti-NMDAR Encephalitis is one of the most common forms of autoimmune encephalitis, and symptoms can include psychiatric symptoms, memory issues, speech disorders, seizures, involuntary movements, and loss of consciousness. In an earlier Penn Medicine study, 38 percent of all patients (and 46 percent of females with the condition) were found to have a tumor, most commonly it was an ovarian tumor. When correctly diagnosed and treated early, Anti-NMDAR Encephalitis can be effectively treated.

"For patients with new psychotic symptoms that are evaluated in centers where an MRI, EEG or spinal fluid test may not have been administered, there is a chance that Anti-NMDAR Encephalitis may be missed,” said lead author Matthew Kayser, MD, PhD, postdoctoral fellow and attending physician in Psychiatry at Penn. "However, the likelihood of pure or isolated new-onset psychosis to be anti-NMDAR encephalitis gradually decreases if no other symptoms emerge during the first 4 weeks of psychosis."

Anti-NMDAR Encephalitis was first characterized by Penn’s Josep Dalmau, MD, PhD, adjunct professor of Neurology, and David R. Lynch, MD, PhD, associate professor of Neurology and Pediatrics, in 2007. One year later, the same investigators, in collaboration with Rita Balice-Gordon, PhD, professor of Neuroscience, characterized the main syndrome and provided preliminary evidence that the antibodies have a pathogenic effect on the NR1 subunit of the NMDA receptor in the Lancet Neurology in December 2008. The disease can be diagnosed using a test developed at the University of Pennsylvania and currently available worldwide. With appropriate treatment, approximately 81 percent of patients significantly improve and, with a recovery process that takes an average of 2 years, can fully recover.

(Source: uphs.upenn.edu)

Filed under anti-NMDA receptor encephalitis psychiatric episodes immunotherapy neuroscience science

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Researchers Uncover Cellular Mechanisms for Attention in the Brain
The ability to pay attention to relevant information while ignoring distractions is a core brain function. Without the ability to focus and filter out “noise,” we could not effectively interact with our environment. Despite much study of attention in the brain, the cellular mechanisms responsible for the effects of attention have remained a mystery… until now.
In a study appearing in the journal Nature, researchers from Dartmouth’s Geisel School of Medicine and the University of California Davis studied communications between synaptically connected neurons under conditions where subjects shifted their attention toward or away from visual stimuli that activated the recorded neurons. Using this highly sensitive measure of attention’s influence on neuron-to-neuron communication, they were able to demonstrate that attention operates at the level of the synapse to improve sensitivity to incoming signals, sharpen the precision of these signals, and selectively boost the transmission of attention-grabbing information while reducing the level of noisy or attention-disrupting information.
The results point to a novel mechanism by which attention shapes perception by selectively altering presynaptic weights to highlight sensory features among all the noisy sensory input.
"While our findings are consistent with other reported changes in neuronal firing rates with attention, they go far beyond such descriptions, revealing never-before tested mechanisms at the synaptic level," said study co-author Farran Briggs, PhD, assistant professor of Physiology and Neurobiology at the Geisel School of Medicine.
In addition to expanding our understanding of brain, this study could help people with attention deficits resulting from brain injury or disease, possibly leading to improved screening and new treatments.

Researchers Uncover Cellular Mechanisms for Attention in the Brain

The ability to pay attention to relevant information while ignoring distractions is a core brain function. Without the ability to focus and filter out “noise,” we could not effectively interact with our environment. Despite much study of attention in the brain, the cellular mechanisms responsible for the effects of attention have remained a mystery… until now.

In a study appearing in the journal Nature, researchers from Dartmouth’s Geisel School of Medicine and the University of California Davis studied communications between synaptically connected neurons under conditions where subjects shifted their attention toward or away from visual stimuli that activated the recorded neurons. Using this highly sensitive measure of attention’s influence on neuron-to-neuron communication, they were able to demonstrate that attention operates at the level of the synapse to improve sensitivity to incoming signals, sharpen the precision of these signals, and selectively boost the transmission of attention-grabbing information while reducing the level of noisy or attention-disrupting information.

The results point to a novel mechanism by which attention shapes perception by selectively altering presynaptic weights to highlight sensory features among all the noisy sensory input.

"While our findings are consistent with other reported changes in neuronal firing rates with attention, they go far beyond such descriptions, revealing never-before tested mechanisms at the synaptic level," said study co-author Farran Briggs, PhD, assistant professor of Physiology and Neurobiology at the Geisel School of Medicine.

In addition to expanding our understanding of brain, this study could help people with attention deficits resulting from brain injury or disease, possibly leading to improved screening and new treatments.

Filed under attention attention deficit neurons neuronal communication perception neuroscience science

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A faster vessel for charting the brain

Princeton University researchers have created “souped up” versions of the calcium-sensitive proteins that for the past decade or so have given scientists an unparalleled view and understanding of brain-cell communication.

Reported July 18 in the journal Nature Communications, the enhanced proteins developed at Princeton respond more quickly to changes in neuron activity, and can be customized to react to different, faster rates of neuron activity. Together, these characteristics would give scientists a more precise and comprehensive view of neuron activity.

The researchers sought to improve the function of proteins known as green fluorescent protein/calmodulin protein (GCaMP) sensors, an amalgam of various natural proteins that are a popular form of sensor proteins known as genetically encoded calcium indicators, or GECIs. Once introduced into the brain via the bloodstream, GCaMPs react to the various calcium ions involved in cell activity by glowing fluorescent green. Scientists use this fluorescence to trace the path of neural signals throughout the brain as they happen.

GCaMPs and other GECIs have been invaluable to neuroscience, said corresponding author Samuel Wang, a Princeton associate professor of molecular biology and the Princeton Neuroscience Institute. Scientists have used the sensors to observe brain signals in real time, and to delve into previously obscure neural networks such as those in the cerebellum. GECIs are necessary for the BRAIN Initiative President Barack Obama announced in April, Wang said. The estimated $3 billion project to map the activity of every neuron in the human brain cannot be done with traditional methods, such as probes that attach to the surface of the brain. “There is no possible way to complete that project with electrodes, so you have to do it with other tools — GECIs are those tools,” he said.

Despite their value, however, the proteins are still limited when it comes to keeping up with the fast-paced, high-voltage ways of brain cells, and various research groups have attempted to address these limitations over the years, Wang said.

“GCaMPs have made significant contributions to neuroscience so far, but there have been some limits and researchers are running up against those limits,” Wang said.

One shortcoming is that GCaMPs are about one-tenth of a second slower than neurons, which can fire hundreds of times per second, Wang said. The proteins activate after neural signals begin, and mark the end of a signal when brain cells have (by neuronal terms) long since moved on to something else, Wang said. A second current limitation is that GCaMPs can only bind to four calcium ions at a time. Higher rates of cell activity cannot be fully explored because GCaMPs fill up quickly on the accompanying rush of calcium.

The Princeton GCaMPs respond more quickly to changes in calcium so that changes in neural activity are seen more immediately, Wang said. By making the sensors a bit more sensitive and fragile — the proteins bond more quickly with calcium and come apart more readily to stop glowing when calcium is removed — the researchers whittled down the roughly 20 millisecond response time of existing GCaMPs to about 10 milliseconds, Wang said.

The researchers also tweaked certain GCaMPs to be sensitive to different types of calcium ion concentrations, meaning that high rates of neural activity can be better explored. “Each probe is sensitive to one range or another, but when we put them together they make a nice choir,” Wang said.

The researchers’ work also revealed the location of a “bottleneck” in GCaMPs that occurs when calcium concentration is high, which poses a third limitation of the existing sensors, Wang said. “Now that we know where that bottle neck is, we think we can design the next generation of proteins to get around it,” Wang said. “We think if we open up that bottleneck, we can get a probe that responds to neuronal signals in one millisecond.”

The faster protein that the Princeton researchers developed could pair with work in other laboratories to improve other areas of GCaMP function, Wang said. For instance, a research group out of the Howard Hughes Medical Institute reported in Nature July 17 that it developed a GCaMP with a brighter fluorescence. Such improvements on existing sensors gradually open up more of the brain to exploration and understanding, said Wang, adding that the Princeton researchers will soon introduce their sensor into fly and mammalian brains.

“At some level, what we’ve done is like taking apart an engine, lubing up the parts and putting it back together. We took what was the best version of the protein at the time and made changes to the letter code of the protein,” Wang said. “We want to watch the whole symphony of thousands of neurons do their thing, and we think this variant of GCaMPs will help us do that better than anyone else has.”

(Source: blogs.princeton.edu)

Filed under neural activity proteins GCaMP calcium ions neuroscience science

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