Neuroscience

Articles and news from the latest research reports.

Posts tagged brain activity

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Hypnosis: The day my mind was ‘possessed’
I am lying on my back and trapped in a gleaming white tunnel, the surface barely six inches from my nose. There is a strange mechanical rumbling in the background, and I hear footsteps padding around the room beyond. In my mounting claustrophobia, I ask myself why I am here – but there is no way out now. A few moments later, the light dims, and as the man speaks, my thoughts begin to fade.
“The engineer has developed a way of taking control of your thoughts from the inside. He does this because he is fascinated by mind control, and wants to apply the most direct method of controlling your thoughts. He is doing this to advance his research into mind control. You will soon be aware of the engineer inserting his thoughts.”
A strange serenity descends as I realise that soon, my will won’t be my own. Then the experiment begins. I am about to be possessed.

Read more

Hypnosis: The day my mind was ‘possessed’

I am lying on my back and trapped in a gleaming white tunnel, the surface barely six inches from my nose. There is a strange mechanical rumbling in the background, and I hear footsteps padding around the room beyond. In my mounting claustrophobia, I ask myself why I am here – but there is no way out now. A few moments later, the light dims, and as the man speaks, my thoughts begin to fade.

“The engineer has developed a way of taking control of your thoughts from the inside. He does this because he is fascinated by mind control, and wants to apply the most direct method of controlling your thoughts. He is doing this to advance his research into mind control. You will soon be aware of the engineer inserting his thoughts.”

A strange serenity descends as I realise that soon, my will won’t be my own. Then the experiment begins. I am about to be possessed.

Read more

Filed under hypnosis brain activity consciousness psychology neuroscience science

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Study Identifies Predictors for Teen Binge-Drinking

Neuroscientists leading the largest longitudinal adolescent brain imaging study to date have learned that predicting teenage binge-drinking is possible. In fact, say the researchers in the group’s latest publication, a number of factors – genetics, brain function and about 40 different variables – can help scientists predict with about 70 percent accuracy which teens will become binge drinkers. The study appears online July 3, 2014 as an Advance Online Publication in the journal Nature.

image

First author Robert Whelan, Ph.D., a former University of Vermont (UVM) postdoctoral fellow in psychiatry and current lecturer at University College Dublin, and senior author Hugh Garavan, Ph.D., UVM associate professor of psychiatry, and colleagues conducted 10 hours of comprehensive assessments – these included neuroimaging to assess brain activity and brain structure, along with other measures such as IQ, cognitive task performance, personality and blood tests – on each of 2,400 14-year-old adolescents at eight different sites across Europe.

“Our goal was to develop a model to better understand the relative roles of brain structure and function, personality, environmental influences and genetics in the development of adolescent abuse of alcohol,” says Whelan. “This multidimensional risk profile of genes, brain function and environmental influences can help in the prediction of binge drinking at age 16 years.”

A 2012 Nature Neuroscience paper by the same researchers identified brain networks that predisposed some teens to higher-risk behaviors like experimentation with drugs and alcohol. This new study develops on that earlier work by following those kids for years (the participants in the study are now 19 years old) and identifying those who developed a pattern of binge-drinking. The 2014 Nature study aimed to predict those who went on to drink heavily at age 16 using only data collected at age 14. They applied a broad range of measures, developing a unique analytic method to predict which individuals would become binge-drinkers. The reliability of the results were confirmed by showing the same accuracy when tested on a new, separate group of teenagers. The result was a list of predictors that ranged from brain and genetics to personality and personal history factors.

“Notably, it’s not the case that there’s a single one or two or three variables that are critical,” says Garavan. “The final model was very broad – it suggests that a wide mixture of reasons underlie teenage drinking.”

Some of the best predictors, shares Garavan, include variables like personality, sensation-seeking traits, lack of conscientiousness, and a family history of drug use. Having even a single drink at age 14, was also a powerful predictor. That type of risk-taking behavior – and the impulsivity that often accompanies it – was a critical predictor. In addition, those teens who had experienced several stressful life events were among those at greater risk for binge-drinking.

One interesting finding, says Garavan, was that bigger brains were also predictive. Adolescents undergo significant brain changes, so in addition to the formation of personalities and social networks, it’s actually normal for their brains to reduce to a more efficient size.

“There’s refining and sculpting of the brain, and most of the gray matter – the neurons and the connections between them, are getting smaller and the white matter is getting larger,” he explains. “Kids with more immature brains – those that are still larger – are more likely to drink.”

Garavan, Whelan and colleagues believe that by better understanding the probable causal factors for binge-drinking, targeted interventions for those most at risk could be applied.

Gunter Schumann, M.D.,professor of biological psychiatry and head of the section at the Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College London, is the principle investigator of the IMAGEN study, which is the source of this latest paper. “We aimed to develop a ‘gold standard’ model for predicting teenage behavior, which can be used as a benchmark for the development of simpler, widely applicable prediction models,” says Schumann. “This work will inform the development of specific early interventions in carriers of the risk profile to reduce the incidence of adolescent substance abuse. We now propose to extend analysis of the IMAGEN data in order to investigate the development of substance use patterns in the context of moderating environmental factors, such as exposure to nicotine or drugs as well as psychosocial stress.”

In the future, the researchers hope to perform more in-depth analyses of the brain factors involved and determine whether or not there are different predictors for abuse of other drugs. A similar analysis, which is using the same dataset to look at the predictors of cannabis use, is planned for the near future.

(Source: uvm.edu)

Filed under binge-drinking alcohol neuroimaging brain activity brain structure neuroscience science

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New study discovers biological basis for magic mushroom ‘mind expansion’
Psychedelic drugs such as LSD and magic mushrooms can profoundly alter the way we experience the world but little is known about what physically happens in the brain. New research, published in Human Brain Mapping, has examined the brain effects of the psychedelic chemical in magic mushrooms, called psilocybin, using data from brain scans of volunteers who had been injected with the drug.
The study found that under psilocybin, activity in the more primitive brain network linked to emotional thinking became more pronounced, with several different areas in this network - such as the hippocampus and anterior cingulate cortex - active at the same time. This pattern of activity is similar to the pattern observed in people who are dreaming. Conversely, volunteers who had taken psilocybin had more disjointed and uncoordinated activity in the brain network that is linked to high-level thinking, including self-consciousness.
Psychedelic drugs are unique among other psychoactive chemicals in that users often describe ‘expanded consciousness,’ including enhanced associations, vivid imagination and dream-like states. To explore the biological basis for this experience, researchers analysed brain imaging data from 15 volunteers who were given psilocybin intravenously while they lay in a functional magnetic resonance imaging (fMRI) scanner. Volunteers were scanned under the influence of psilocybin and when they had been injected with a placebo.
“What we have done in this research is begin to identify the biological basis of the reported mind expansion associated with psychedelic drugs,” said Dr Robin Carhart-Harris from the Department of Medicine, Imperial College London.  “I was fascinated to see similarities between the pattern of brain activity in a psychedelic state and the pattern of brain activity during dream sleep, especially as both involve the primitive areas of the brain linked to emotions and memory. People often describe taking psilocybin as producing a dream-like state and our findings have, for the first time, provided a physical representation for the experience in the brain.”    
The new study examined variation in the amplitude of fluctuations in what is called the blood-oxygen level dependent (BOLD) signal, which tracks activity levels in the brain. This revealed that activity in important brain networks linked to high-level thinking in humans becomes unsynchronised and disorganised under psilocybin. One particular network that was especially affected plays a central role in the brain, essentially ‘holding it all together’, and is linked to our sense of self.
In comparison, activity in the different areas of a more primitive brain network became more synchronised under the drug, indicating they were working in a more co-ordinated, ‘louder’ fashion. The network involves areas of the hippocampus, associated with memory and emotion, and the anterior cingulate cortex which is related to states of arousal.
Lead author Dr Enzo Tagliazucchi from Goethe University, Germany said: “A good way to understand how the brain works is to perturb the system in a marked and novel way. Psychedelic drugs do precisely this and so are powerful tools for exploring what happens in the brain when consciousness is profoundly altered. It is the first time we have used these methods to look at brain imaging data and it has given some fascinating insight into how psychedelic drugs expand the mind. It really provides a window through which to study the doors of perception.”
Dr. Carhart-Harris added: “Learning about the mechanisms that underlie what happens under the influence of psychedelic drugs can also help to understand their possible uses. We are currently studying the effect of LSD on creative thinking and we will also be looking at the possibility that psilocybin may help alleviate symptoms of depression by allowing patients to change their rigidly pessimistic patterns of thinking. Psychedelics were used for therapeutic purposes in the 1950s and 1960s but now we are finally beginning to understand their action in the brain and how this can inform how to put them to good use.”
The data was originally collected at Imperial College London in 2012 by a research group led by Dr Carhart-Harris and Professor David Nutt from the Department of Medicine, Imperial College London. Initial results revealed a variety of changes in the brain associated with drug intake. To explore the data further Dr. Carhart-Harris recruited specialists in the mathematical modelling of brain networks, Professor Dante Chialvo and Dr Enzo Tagliazucchi to investigate how psilocybin alters brain activity to produce its unusual psychological effects.
As part of the new study, the researchers applied a measure called entropy. This was originally developed by physicists to quantify lost energy in mechanical systems, such as a steam engine, but entropy can also be used to measure the range or randomness of a system. For the first time, researchers computed the level of entropy for different networks in the brain during the psychedelic state. This revealed a remarkable increase in entropy in the more primitive network, indicating there was an increased number of patterns of activity that were possible under the influence of psilocybin. It seemed the volunteers had a much larger range of potential brain states that were available to them, which may be the biophysical counterpart of ‘mind expansion’ reported by users of psychedelic drugs.
Previous research has suggested that there may be an optimal number of dynamic networks active in the brain, neither too many nor too few. This may provide evolutionary advantages in terms of optimising the balance between the stability and flexibility of consciousness. The mind works best at a critical point when there is a balance between order and disorder and the brain maintains this optimal number of networks. However, when the number goes above this point, the mind tips into a more chaotic regime where there are more networks available than normal. Collectively, the present results suggest that psilocybin can manipulate this critical operating point.

New study discovers biological basis for magic mushroom ‘mind expansion’

Psychedelic drugs such as LSD and magic mushrooms can profoundly alter the way we experience the world but little is known about what physically happens in the brain. New research, published in Human Brain Mapping, has examined the brain effects of the psychedelic chemical in magic mushrooms, called psilocybin, using data from brain scans of volunteers who had been injected with the drug.

The study found that under psilocybin, activity in the more primitive brain network linked to emotional thinking became more pronounced, with several different areas in this network - such as the hippocampus and anterior cingulate cortex - active at the same time. This pattern of activity is similar to the pattern observed in people who are dreaming. Conversely, volunteers who had taken psilocybin had more disjointed and uncoordinated activity in the brain network that is linked to high-level thinking, including self-consciousness.

Psychedelic drugs are unique among other psychoactive chemicals in that users often describe ‘expanded consciousness,’ including enhanced associations, vivid imagination and dream-like states. To explore the biological basis for this experience, researchers analysed brain imaging data from 15 volunteers who were given psilocybin intravenously while they lay in a functional magnetic resonance imaging (fMRI) scanner. Volunteers were scanned under the influence of psilocybin and when they had been injected with a placebo.

“What we have done in this research is begin to identify the biological basis of the reported mind expansion associated with psychedelic drugs,” said Dr Robin Carhart-Harris from the Department of Medicine, Imperial College London.  “I was fascinated to see similarities between the pattern of brain activity in a psychedelic state and the pattern of brain activity during dream sleep, especially as both involve the primitive areas of the brain linked to emotions and memory. People often describe taking psilocybin as producing a dream-like state and our findings have, for the first time, provided a physical representation for the experience in the brain.”    

The new study examined variation in the amplitude of fluctuations in what is called the blood-oxygen level dependent (BOLD) signal, which tracks activity levels in the brain. This revealed that activity in important brain networks linked to high-level thinking in humans becomes unsynchronised and disorganised under psilocybin. One particular network that was especially affected plays a central role in the brain, essentially ‘holding it all together’, and is linked to our sense of self.

In comparison, activity in the different areas of a more primitive brain network became more synchronised under the drug, indicating they were working in a more co-ordinated, ‘louder’ fashion. The network involves areas of the hippocampus, associated with memory and emotion, and the anterior cingulate cortex which is related to states of arousal.

Lead author Dr Enzo Tagliazucchi from Goethe University, Germany said: “A good way to understand how the brain works is to perturb the system in a marked and novel way. Psychedelic drugs do precisely this and so are powerful tools for exploring what happens in the brain when consciousness is profoundly altered. It is the first time we have used these methods to look at brain imaging data and it has given some fascinating insight into how psychedelic drugs expand the mind. It really provides a window through which to study the doors of perception.”

Dr. Carhart-Harris added: “Learning about the mechanisms that underlie what happens under the influence of psychedelic drugs can also help to understand their possible uses. We are currently studying the effect of LSD on creative thinking and we will also be looking at the possibility that psilocybin may help alleviate symptoms of depression by allowing patients to change their rigidly pessimistic patterns of thinking. Psychedelics were used for therapeutic purposes in the 1950s and 1960s but now we are finally beginning to understand their action in the brain and how this can inform how to put them to good use.”

The data was originally collected at Imperial College London in 2012 by a research group led by Dr Carhart-Harris and Professor David Nutt from the Department of Medicine, Imperial College London. Initial results revealed a variety of changes in the brain associated with drug intake. To explore the data further Dr. Carhart-Harris recruited specialists in the mathematical modelling of brain networks, Professor Dante Chialvo and Dr Enzo Tagliazucchi to investigate how psilocybin alters brain activity to produce its unusual psychological effects.

As part of the new study, the researchers applied a measure called entropy. This was originally developed by physicists to quantify lost energy in mechanical systems, such as a steam engine, but entropy can also be used to measure the range or randomness of a system. For the first time, researchers computed the level of entropy for different networks in the brain during the psychedelic state. This revealed a remarkable increase in entropy in the more primitive network, indicating there was an increased number of patterns of activity that were possible under the influence of psilocybin. It seemed the volunteers had a much larger range of potential brain states that were available to them, which may be the biophysical counterpart of ‘mind expansion’ reported by users of psychedelic drugs.

Previous research has suggested that there may be an optimal number of dynamic networks active in the brain, neither too many nor too few. This may provide evolutionary advantages in terms of optimising the balance between the stability and flexibility of consciousness. The mind works best at a critical point when there is a balance between order and disorder and the brain maintains this optimal number of networks. However, when the number goes above this point, the mind tips into a more chaotic regime where there are more networks available than normal. Collectively, the present results suggest that psilocybin can manipulate this critical operating point.

Filed under psychedelic drugs psilocybin functional connectivity neuroimaging brain activity neuroscience science

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Research Links Alzheimer’s Disease to Brain Hyperactivity

Patients with Alzheimer’s disease run a high risk of seizures. While the amyloid-beta protein involved in the development and progression of Alzheimer’s seems the most likely cause for this neuronal hyperactivity, how and why this elevated activity takes place hasn’t yet been explained — until now.

image

A new study by Tel Aviv University researchers, published in Cell Reports, pinpoints the precise molecular mechanism that may trigger an enhancement of neuronal activity in Alzheimer’s patients, which subsequently damages memory and learning functions. The research team, led by Dr. Inna Slutsky of TAU’s Sackler Faculty of Medicine and Sagol School of Neuroscience, discovered that the amyloid precursor protein (APP), in addition to its well-known role in producing amyloid-beta, also constitutes the receptor for amyloid-beta. According to the study, the binding of amyloid-beta to pairs of APP molecules triggers a signalling cascade, which causes elevated neuronal activity.

Elevated activity in the hippocampus — the area of the brain that controls learning and memory — has been observed in patients with mild cognitive impairment and early stages of Alzheimer’s disease. Hyperactive hippocampal neurons, which precede amyloid plaque formation, have also been observed in mouse models with early onset Alzheimer’s disease. “These are truly exciting results,” said Dr. Slutsky. “Our work suggests that APP molecules, like many other known cell surface receptors, may modulate the transfer of information between neurons.”

With the understanding of this mechanism, the potential for restoring memory and protecting the brain is greatly increased.

Building on earlier research

The research project was launched five years ago, following the researchers’ discovery of the physiological role played by amyloid-beta, previously known as an exclusively toxic molecule. The team found that amyloid-beta is essential for the normal day-to-day transfer of information through the nerve cell networks. If the level of amyloid-beta is even slightly increased, it causes neuronal hyperactivity and greatly impairs the effective transfer of information between neurons.

In the search for the underlying cause of neuronal hyperactivity, TAU doctoral student Hilla Fogel and postdoctoral fellow Samuel Frere found that while unaffected “normal” neurons became hyperactive following a rise in amyloid-beta concentration, neurons lacking APP did not respond to amyloid-beta. “This finding was the starting point of a long journey toward decoding the mechanism of APP-mediated hyperactivity,” said Dr. Slutsky.

The researchers, collaborating with Prof. Joel Hirsch of TAU’s Faculty of Life Sciences, Prof. Dominic Walsh of Harvard University, and Prof. Ehud Isacoff of University of California Berkeley, harnessed a combination of cutting-edge high-resolution optical imaging, biophysical methods and molecular biology to examine APP-dependent signalling in neural cultures, brain slices, and mouse models. Using highly sensitive biophysical techniques based on fluorescence resonance energy transfer (FRET) between fluorescent proteins in close proximity, they discovered that APP exists as a dimer at presynaptic contacts, and that the binding of amyloid-beta triggers a change in the APP-APP interactions, leading to an increase in calcium flux and higher glutamate release — in other words, brain hyperactivity.

A new approach to protecting the brain

"We have now identified the molecular players in hyperactivity," said Dr. Slutsky. "TAU postdoctoral fellow Oshik Segev is now working to identify the exact spot where the amyloid-beta binds to APP and how it modifies the structure of the APP molecule. If we can change the APP structure and engineer molecules that interfere with the binding of amyloid-beta to APP, then we can break up the process leading to hippocampal hyperactivity. This may help to restore memory and protect the brain."

Previous studies by Prof. Lennart Mucke’s laboratory strongly suggest that a reduction in the expression level of “tau” (microtubule-associated protein), another key player in Alzheimer’s pathogenesis, rescues synaptic deficits and decreases abnormal brain activity in animal models. “It will be crucial to understand the missing link between APP and ‘tau’-mediated signalling pathways leading to hyperactivity of hippocampal circuits. If we can find a way to disrupt the positive signalling loop between amyloid-beta and neuronal activity, it may rescue cognitive decline and the conversion to Alzheimer’s disease,” said Dr. Slutsky.

(Source: aftau.org)

Filed under alzheimer's disease brain activity beta amyloid hippocampus hyperactivity neuroscience science

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Noninvasive brain control
Optogenetics, a technology that allows scientists to control brain activity by shining light on neurons, relies on light-sensitive proteins that can suppress or stimulate electrical signals within cells. This technique requires a light source to be implanted in the brain, where it can reach the cells to be controlled.
MIT engineers have now developed the first light-sensitive molecule that enables neurons to be silenced noninvasively, using a light source outside the skull. This makes it possible to do long-term studies without an implanted light source. The protein, known as Jaws, also allows a larger volume of tissue to be influenced at once.
This noninvasive approach could pave the way to using optogenetics in human patients to treat epilepsy and other neurological disorders, the researchers say, although much more testing and development is needed. Led by Ed Boyden, an associate professor of biological engineering and brain and cognitive sciences at MIT, the researchers described the protein in the June 29 issue of Nature Neuroscience.
Optogenetics, a technique developed over the past 15 years, has become a common laboratory tool for shutting off or stimulating specific types of neurons in the brain, allowing neuroscientists to learn much more about their functions.
The neurons to be studied must be genetically engineered to produce light-sensitive proteins known as opsins, which are channels or pumps that influence electrical activity by controlling the flow of ions in or out of cells. Researchers then insert a light source, such as an optical fiber, into the brain to control the selected neurons.
Such implants can be difficult to insert, however, and can be incompatible with many kinds of experiments, such as studies of development, during which the brain changes size, or of neurodegenerative disorders, during which the implant can interact with brain physiology. In addition, it is difficult to perform long-term studies of chronic diseases with these implants.
Mining nature’s diversity
To find a better alternative, Boyden, graduate student Amy Chuong, and colleagues turned to the natural world. Many microbes and other organisms use opsins to detect light and react to their environment. Most of the natural opsins now used for optogenetics respond best to blue or green light.
Boyden’s team had previously identified two light-sensitive chloride ion pumps that respond to red light, which can penetrate deeper into living tissue. However, these molecules, found in the bacteria Haloarcula marismortui and Haloarcula vallismortis, did not induce a strong enough photocurrent — an electric current in response to light — to be useful in controlling neuron activity.
Chuong set out to improve the photocurrent by looking for relatives of these proteins and testing their electrical activity. She then engineered one of these relatives by making many different mutants. The result of this screen, Jaws, retained its red-light sensitivity but had a much stronger photocurrent — enough to shut down neural activity.
“This exemplifies how the genomic diversity of the natural world can yield powerful reagents that can be of use in biology and neuroscience,” says Boyden, who is a member of MIT’s Media Lab and the McGovern Institute for Brain Research.
Using this opsin, the researchers were able to shut down neuronal activity in the mouse brain with a light source outside the animal’s head. The suppression occurred as deep as 3 millimeters in the brain, and was just as effective as that of existing silencers that rely on other colors of light delivered via conventional invasive illumination.
A key advantage to this opsin is that it could enable optogenetic studies of animals with larger brains, says Garret Stuber, an assistant professor of psychiatry and cell biology and physiology at the University of North Carolina at Chapel Hill.
“In animals with larger brains, people have had difficulty getting behavior effects with optogenetics, and one possible reason is that not enough of the tissue is being inhibited,” he says. “This could potentially alleviate that.”
Restoring vision
Working with researchers at the Friedrich Miescher Institute for Biomedical Research in Switzerland, the MIT team also tested Jaws’s ability to restore the light sensitivity of retinal cells called cones. In people with a disease called retinitis pigmentosa, cones slowly atrophy, eventually causing blindness.
Friedrich Miescher Institute scientists Botond Roska and Volker Busskamp have previously shown that some vision can be restored in mice by engineering those cone cells to express light-sensitive proteins. In the new paper, Roska and Busskamp tested the Jaws protein in the mouse retina and found that it more closely resembled the eye’s natural opsins and offered a greater range of light sensitivity, making it potentially more useful for treating retinitis pigmentosa.
This type of noninvasive approach to optogenetics could also represent a step toward developing optogenetic treatments for diseases such as epilepsy, which could be controlled by shutting off misfiring neurons that cause seizures, Boyden says. “Since these molecules come from species other than humans, many studies must be done to evaluate their safety and efficacy in the context of treatment,” he says.
Boyden’s lab is working with many other research groups to further test the Jaws opsin for other applications. The team is also seeking new light-sensitive proteins and is working on high-throughput screening approaches that could speed up the development of such proteins.

Noninvasive brain control

Optogenetics, a technology that allows scientists to control brain activity by shining light on neurons, relies on light-sensitive proteins that can suppress or stimulate electrical signals within cells. This technique requires a light source to be implanted in the brain, where it can reach the cells to be controlled.

MIT engineers have now developed the first light-sensitive molecule that enables neurons to be silenced noninvasively, using a light source outside the skull. This makes it possible to do long-term studies without an implanted light source. The protein, known as Jaws, also allows a larger volume of tissue to be influenced at once.

This noninvasive approach could pave the way to using optogenetics in human patients to treat epilepsy and other neurological disorders, the researchers say, although much more testing and development is needed. Led by Ed Boyden, an associate professor of biological engineering and brain and cognitive sciences at MIT, the researchers described the protein in the June 29 issue of Nature Neuroscience.

Optogenetics, a technique developed over the past 15 years, has become a common laboratory tool for shutting off or stimulating specific types of neurons in the brain, allowing neuroscientists to learn much more about their functions.

The neurons to be studied must be genetically engineered to produce light-sensitive proteins known as opsins, which are channels or pumps that influence electrical activity by controlling the flow of ions in or out of cells. Researchers then insert a light source, such as an optical fiber, into the brain to control the selected neurons.

Such implants can be difficult to insert, however, and can be incompatible with many kinds of experiments, such as studies of development, during which the brain changes size, or of neurodegenerative disorders, during which the implant can interact with brain physiology. In addition, it is difficult to perform long-term studies of chronic diseases with these implants.

Mining nature’s diversity

To find a better alternative, Boyden, graduate student Amy Chuong, and colleagues turned to the natural world. Many microbes and other organisms use opsins to detect light and react to their environment. Most of the natural opsins now used for optogenetics respond best to blue or green light.

Boyden’s team had previously identified two light-sensitive chloride ion pumps that respond to red light, which can penetrate deeper into living tissue. However, these molecules, found in the bacteria Haloarcula marismortui and Haloarcula vallismortis, did not induce a strong enough photocurrent — an electric current in response to light — to be useful in controlling neuron activity.

Chuong set out to improve the photocurrent by looking for relatives of these proteins and testing their electrical activity. She then engineered one of these relatives by making many different mutants. The result of this screen, Jaws, retained its red-light sensitivity but had a much stronger photocurrent — enough to shut down neural activity.

“This exemplifies how the genomic diversity of the natural world can yield powerful reagents that can be of use in biology and neuroscience,” says Boyden, who is a member of MIT’s Media Lab and the McGovern Institute for Brain Research.

Using this opsin, the researchers were able to shut down neuronal activity in the mouse brain with a light source outside the animal’s head. The suppression occurred as deep as 3 millimeters in the brain, and was just as effective as that of existing silencers that rely on other colors of light delivered via conventional invasive illumination.

A key advantage to this opsin is that it could enable optogenetic studies of animals with larger brains, says Garret Stuber, an assistant professor of psychiatry and cell biology and physiology at the University of North Carolina at Chapel Hill.

“In animals with larger brains, people have had difficulty getting behavior effects with optogenetics, and one possible reason is that not enough of the tissue is being inhibited,” he says. “This could potentially alleviate that.”

Restoring vision

Working with researchers at the Friedrich Miescher Institute for Biomedical Research in Switzerland, the MIT team also tested Jaws’s ability to restore the light sensitivity of retinal cells called cones. In people with a disease called retinitis pigmentosa, cones slowly atrophy, eventually causing blindness.

Friedrich Miescher Institute scientists Botond Roska and Volker Busskamp have previously shown that some vision can be restored in mice by engineering those cone cells to express light-sensitive proteins. In the new paper, Roska and Busskamp tested the Jaws protein in the mouse retina and found that it more closely resembled the eye’s natural opsins and offered a greater range of light sensitivity, making it potentially more useful for treating retinitis pigmentosa.

This type of noninvasive approach to optogenetics could also represent a step toward developing optogenetic treatments for diseases such as epilepsy, which could be controlled by shutting off misfiring neurons that cause seizures, Boyden says. “Since these molecules come from species other than humans, many studies must be done to evaluate their safety and efficacy in the context of treatment,” he says.

Boyden’s lab is working with many other research groups to further test the Jaws opsin for other applications. The team is also seeking new light-sensitive proteins and is working on high-throughput screening approaches that could speed up the development of such proteins.

Filed under optogenetics brain activity opsins vision neuroscience science

371 notes

Brain fills gaps to produce a likely picture
Researchers at Radboud University use visual illusions to demonstrate to what extent the brain interprets visual signals. They were surprised to discover that active interpretation occurs early on in signal processing. In other words, we see not only with our eyes, but with our brain, too. Current Biology is publishing these results in the July issue.
The results obtained by the Radboud University researchers are illustrated, for example, by the visual illusion on the left: we see a triangle that in fact is not there. The triangle is only suggested because of the way the ‘Pac-Man’ shapes are positioned; there appears to be a light-grey triangle on top of three black circles.
Seen in the fMRIHow does the brain do that? That was the question Peter Kok and Floris de Lange, from the Donders Institute at Radboud University in Nijmegen, asked themselves. Using fMRI, they discovered that the triangle – although non-existent – activates the primary visual brain cortex. This is the first area in the cortex to deal with a signal from the eyes.
The primary visual brain cortex is normally regarded as the area where eye signals are merely processed, but that has now been refuted by the results Kok and De Lange obtained.
Active interpretationRecent theories assume that the brain does not simply process or filter external information, but actively interprets it. In the example described above, the brain decides it is more likely that a triangle would be on top of black circles than that three such circles, each with a bite taken out, would by coincidence point in a particular direction. After all, when we look around, we see triangles and circles more often than Pac-Man shapes.
Furthermore, objects very often lie on top of other things; just think of the books and piles of paper on your desk. The imaginary triangle is a feasible explanation for the bites taken out of the circles; the brain ‘understands’ they are ‘merely’ partly covered black circles.
The unexpected requires more processingKok and De Lange also noticed that whenever the Pac-Man shapes do not form a triangle, more brain activity is required. In the above image on the right, we see that the three Pac-Man shapes ‘underneath’ the triangle cause little brain activity (coloured blue), but the separate Pac-Man on the right causes more activity. This also fits in with the theory that perception is a question of interpretation: if something is easy to explain, less brain activity is needed to process that information, compared to when something is unexpected or difficult to account for – as in the adjacent diagram.

Brain fills gaps to produce a likely picture

Researchers at Radboud University use visual illusions to demonstrate to what extent the brain interprets visual signals. They were surprised to discover that active interpretation occurs early on in signal processing. In other words, we see not only with our eyes, but with our brain, too. Current Biology is publishing these results in the July issue.

The results obtained by the Radboud University researchers are illustrated, for example, by the visual illusion on the left: we see a triangle that in fact is not there. The triangle is only suggested because of the way the ‘Pac-Man’ shapes are positioned; there appears to be a light-grey triangle on top of three black circles.

Seen in the fMRI
How does the brain do that? That was the question Peter Kok and Floris de Lange, from the Donders Institute at Radboud University in Nijmegen, asked themselves. Using fMRI, they discovered that the triangle – although non-existent – activates the primary visual brain cortex. This is the first area in the cortex to deal with a signal from the eyes.

The primary visual brain cortex is normally regarded as the area where eye signals are merely processed, but that has now been refuted by the results Kok and De Lange obtained.

Active interpretation
Recent theories assume that the brain does not simply process or filter external information, but actively interprets it. In the example described above, the brain decides it is more likely that a triangle would be on top of black circles than that three such circles, each with a bite taken out, would by coincidence point in a particular direction. After all, when we look around, we see triangles and circles more often than Pac-Man shapes.

Furthermore, objects very often lie on top of other things; just think of the books and piles of paper on your desk. The imaginary triangle is a feasible explanation for the bites taken out of the circles; the brain ‘understands’ they are ‘merely’ partly covered black circles.

The unexpected requires more processing
Kok and De Lange also noticed that whenever the Pac-Man shapes do not form a triangle, more brain activity is required. In the above image on the right, we see that the three Pac-Man shapes ‘underneath’ the triangle cause little brain activity (coloured blue), but the separate Pac-Man on the right causes more activity. This also fits in with the theory that perception is a question of interpretation: if something is easy to explain, less brain activity is needed to process that information, compared to when something is unexpected or difficult to account for – as in the adjacent diagram.

Filed under visual illusions visual cortex brain activity neuroimaging shape perception neuroscience science

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Running, Combined with Visual Experience, Restores Brain Function
In a new study by UC San Francisco scientists, running, when accompanied by visual stimuli, restored brain function to normal levels in mice that had been deprived of visual experience in early life.
In addition to suggesting a novel therapeutic strategy for humans with blindness in one eye caused by a congenital cataract, droopy eyelid, or misaligned eye, the new research—the latest in a series of UCSF studies exploring effects of locomotion on brain function—suggests that the adult brain may be far more capable of rewiring and repairing itself than previously thought.
In 2010, Michael P. Stryker, PhD, the W.F. Ganong Professor of Physiology, and postdoctoral fellow Cris Niell, PhD, now at the University of Oregon, made the surprising discovery that neurons in the visual area of the mouse brain fired much more robustly whenever the mice walked or ran.
Earlier this year, postdoctoral fellow Yu Fu, PhD, Stryker and a number of colleagues built on these findings, identifying and describing the neural circuit responsible for this locomotion-induced “high-gain state” in the visual cortex of the mouse brain.
Neither of these studies made clear, however, whether this circuit might have broader functional or clinical significance.
It has been known since the 1960s that visual areas of the brain do not develop normally if deprived of visual input during a “critical period” of brain development early in life. For example, in humans, if amblyopia (“lazy eye”) or other major eye problems are not surgically corrected in infancy, vision will never be normal in the affected eye—if such individuals lose sight in their “good” eye in later life, they are blind.
In the new research, published June 26, 2014 in the online journal eLife, Stryker and UCSF postdoctoral fellow Megumi Kaneko, MD, PhD, closed one eyelid of mouse pups at about 20 days after birth, and that eye was kept closed until the mice reached about five months of age.
As expected, the mice in which one eye had been closed during the critical developmental period showed sharply reduced neural activity in the part of the brain responsible for vision in that eye.
As in the previous UCSF experiments in this area, some mice were allowed to run freely on Styrofoam balls suspended on a cushion of air while recordings were made from their brains.
Little improvement was seen in the mice that had been deprived of visual input either when they were simply allowed to run or when they received visual training with the deprived eye not accompanied by walking or running.
But when the mice were exposed to the visual stimuli while they were running or walking, the results were dramatic: within a week the brain responses to those stimuli from the deprived eye were nearly identical to those from the normal eye, indicating that the circuits in the visual area of the brain representing the deprived eye had undergone a rapid reorganization, known in neuroscience as “plasticity.”
Interestingly, this recovery was stimulus-specific: if the brain activity of the mice was tested using a stimulus other than that they had seen while running, little or no recovery of function was apparent.
“We have no idea yet whether running puts the human cortex into a high-gain state that enhances plasticity, as it does the visual cortex of the mouse,” Stryker said, “but we are designing experiments to find out.”

Running, Combined with Visual Experience, Restores Brain Function

In a new study by UC San Francisco scientists, running, when accompanied by visual stimuli, restored brain function to normal levels in mice that had been deprived of visual experience in early life.

In addition to suggesting a novel therapeutic strategy for humans with blindness in one eye caused by a congenital cataract, droopy eyelid, or misaligned eye, the new research—the latest in a series of UCSF studies exploring effects of locomotion on brain function—suggests that the adult brain may be far more capable of rewiring and repairing itself than previously thought.

In 2010, Michael P. Stryker, PhD, the W.F. Ganong Professor of Physiology, and postdoctoral fellow Cris Niell, PhD, now at the University of Oregon, made the surprising discovery that neurons in the visual area of the mouse brain fired much more robustly whenever the mice walked or ran.

Earlier this year, postdoctoral fellow Yu Fu, PhD, Stryker and a number of colleagues built on these findings, identifying and describing the neural circuit responsible for this locomotion-induced “high-gain state” in the visual cortex of the mouse brain.

Neither of these studies made clear, however, whether this circuit might have broader functional or clinical significance.

It has been known since the 1960s that visual areas of the brain do not develop normally if deprived of visual input during a “critical period” of brain development early in life. For example, in humans, if amblyopia (“lazy eye”) or other major eye problems are not surgically corrected in infancy, vision will never be normal in the affected eye—if such individuals lose sight in their “good” eye in later life, they are blind.

In the new research, published June 26, 2014 in the online journal eLife, Stryker and UCSF postdoctoral fellow Megumi Kaneko, MD, PhD, closed one eyelid of mouse pups at about 20 days after birth, and that eye was kept closed until the mice reached about five months of age.

As expected, the mice in which one eye had been closed during the critical developmental period showed sharply reduced neural activity in the part of the brain responsible for vision in that eye.

As in the previous UCSF experiments in this area, some mice were allowed to run freely on Styrofoam balls suspended on a cushion of air while recordings were made from their brains.

Little improvement was seen in the mice that had been deprived of visual input either when they were simply allowed to run or when they received visual training with the deprived eye not accompanied by walking or running.

But when the mice were exposed to the visual stimuli while they were running or walking, the results were dramatic: within a week the brain responses to those stimuli from the deprived eye were nearly identical to those from the normal eye, indicating that the circuits in the visual area of the brain representing the deprived eye had undergone a rapid reorganization, known in neuroscience as “plasticity.”

Interestingly, this recovery was stimulus-specific: if the brain activity of the mice was tested using a stimulus other than that they had seen while running, little or no recovery of function was apparent.

“We have no idea yet whether running puts the human cortex into a high-gain state that enhances plasticity, as it does the visual cortex of the mouse,” Stryker said, “but we are designing experiments to find out.”

Filed under visual cortex brain function brain activity amblyopia plasticity locomotion neuroscience science

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Neural sweet talk: Taste metaphors emotionally engage the brain

So accustomed are we to metaphors related to taste that when we hear a kind smile described as “sweet,” or a resentful comment as “bitter,” we most likely don’t even think of those words as metaphors. But while it may seem to our ears that “sweet” by any other name means the same thing, new research shows that taste-related words actually engage the emotional centers of the brain more than literal words with the same meaning.

Researchers from Princeton University and the Free University of Berlin report in the Journal of Cognitive Neuroscience the first study to experimentally show that the brain processes these everyday metaphors differently than literal language. In the study, participants read 37 sentences that included common metaphors based on taste while the researchers recorded their brain activity. Each taste-related word was then swapped with a literal counterpart so that, for instance, “She looked at him sweetly” became “She looked at him kindly.”

The researchers found that the sentences containing words that invoked taste activated areas known to be associated with emotional processing, such as the amygdala, as well as the areas known as the gustatory cortices that allow for the physical act of tasting. Interestingly, the metaphorical and literal words only resulted in brain activity related to emotion when part of a sentence, but stimulated the gustatory cortices both in sentences and as stand-alone words.

Metaphorical sentences may spark increased brain activity in emotion-related regions because they allude to physical experiences, said co-author Adele Goldberg, a Princeton professor of linguistics in the Council of the Humanities. Human language frequently uses physical sensations or objects to refer to abstract domains such as time, understanding or emotion, Goldberg said. For instance, people liken love to a number of afflictions including being “sick” or shot through the heart with an arrow. Similarly, “sweet” has a much clearer physical component than “kind.” The new research suggests that these associations go beyond just being descriptive to engage our brains on an emotional level and potentially amplify the impact of the sentence, Goldberg said.

"You begin to realize when you look at metaphors how common they are in helping us understand abstract domains," Goldberg said. "It could be that we are more engaged with abstract concepts when we use metaphorical language that ties into physical experiences."

If metaphors in general elicit an emotional response from the brain that is similar to that caused by taste-related metaphors, then that could mean that figurative language presents a “rhetorical advantage” when communicating with others, explained co-author Francesca Citron, a postdoctoral researcher of psycholinguistics at the Free University’s Languages of Emotion research center.

"Figurative language may be more effective in communication and may facilitate processes such as affiliation, persuasion and support," Citron said. "Further, as a reader or listener, one should be wary of being overly influenced by metaphorical language."

Colloquially, metaphors seem to be employed precisely to evoke an emotional reaction, yet the actual emotional effect of figurative phrases on the person hearing them has not before been deeply explored, said Benjamin Bergen, an associate professor of cognitive science at the University of California-San Diego who studies language comprehension, and metaphorical language and thought.

"There’s a lot of research on the conceptual effects of metaphors, such as how they allow people to think about new or abstract concepts in terms of concrete things they’re familiar with. But there’s very little work on the emotional impact of metaphor," said Bergen, who had no role in the research but is familiar with it.

"Emotional impact seems to be one of the main reasons people use metaphors to begin with. For instance, a senator might describe a bill as ‘job-killing’ to evoke an emotional reaction," he said. "These results suggest that using certain metaphorical expressions induces more of an emotional reaction than saying the same thing literally. Those expressions that have this property are likely to have the effects on reasoning, inference, judgment and decision-making that emotion is known to have."

The brain areas that taste-related words did not stimulate are also an important outcome of the study, Citron said. Existing research on metaphors and neural processing has shown that figurative language generally requires more brainpower than literal language, Citron and Goldberg wrote. But these bursts of neural activity have been related to higher-order processing from thinking through an unfamiliar metaphor.

The brain activity Citron and Goldberg observed did not correlate with this process. In order to create the metaphorical- and literal-sentence stimuli, they had a group of people separate from the study participants rate sentences for familiarity, apparent arousal, imageability — which is how easily a phrase can be imagined in the reader’s mind — and how positive or negative each sentence was interpreted as being. The metaphorical and literal sentences were equal on all of these factors. In addition, each metaphorical phrase and its literal counterpart were rated as being highly similar in meaning.

These steps helped to ensure that the metaphorical and literal sentences were equally as easy to comprehend. Thus, the brain activity the researchers recorded was not likely to be in response to any additional difficulty study participants had in understanding the metaphors.

"It is important to rule out possible effects of familiarity, since less familiar items may require more processing resources to be understood and elicit enhanced brain responses in several brain regions," Citron said.

Citron and Goldberg plan to follow up on their results by examining if figurative language is remembered more accurately than literal language, if metaphors are more physically stimulating, and if metaphors related to other senses also provoke an emotional response from the brain.

Filed under brain activity taste metaphorical expressions amygdala emotions psychology neuroscience science

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New Device Allows Brain To Bypass Spinal Cord, Move Paralyzed Limbs

For the first time ever, a paralyzed man can move his fingers and hand with his own thoughts thanks to an innovative partnership between The Ohio State University Wexner Medical Center and Battelle.

Ian Burkhart, a 23-year-old quadriplegic from Dublin, Ohio, is the first patient to use Neurobridge, an electronic neural bypass for spinal cord injuries that reconnects the brain directly to muscles, allowing voluntary and functional control of a paralyzed limb. Burkhart is the first of a potential five participants in a clinical study.

“It’s much like a heart bypass, but instead of bypassing blood, we’re actually bypassing electrical signals,” said Chad Bouton, research leader at Battelle. “We’re taking those signals from the brain, going around the injury, and actually going directly to the muscles.”

The Neurobridge technology combines algorithms that learn and decode the user’s brain activity and a high-definition muscle stimulation sleeve that translates neural impulses from the brain and transmits new signals to the paralyzed limb. In this case, Ian’s brain signals bypass his injured spinal cord and move his hand, hence the name Neurobridge.

Burkhart, who was paralyzed four years ago during a diving accident, viewed the opportunity to participate in the six-month, FDA-approved clinical trial at Ohio State’s Wexner Medical Center as a chance to help others with spinal cord injuries.

“Initially, it piqued my interested because I like science, and it’s pretty interesting,” Burkhart said. “I’ve realized, ‘You know what? This is the way it is. You’re going to have to make the best out of it.’ You can sit and complain about it, but that’s not going to help you at all. So, you might as well work hard, do what you can and keep going on with life.” 

This technology has been a long time in the making. Working on the internally-funded project for nearly a decade to develop the algorithms, software and stimulation sleeve, Battelle scientists first recorded neural impulses from an electrode array implanted in a paralyzed person’s brain. They used that data to illustrate the device’s effect on the patient and prove the concept.

Two years ago, Bouton and his team began collaborating with Ohio State neuroscience researchers and clinicians Dr. Ali Rezai and Dr. Jerry Mysiw to design the clinical trials and validate the feasibility of using the Neurobridge technology in patients.

During a three-hour surgery on April 22, Rezai implanted a chip smaller than a pea onto the motor cortex of Burkhart’s brain. The tiny chip interprets brain signals and sends them to a computer, which recodes and sends them to the high-definition electrode stimulation sleeve that stimulates the proper muscles to execute his desired movements. Within a tenth of a second, Burkhart’s thoughts are translated into action.

“The surgery required the precise implantation of the micro-chip sensor in the area of Ian’s brain that controls his arm and hand movements,” Rezai said. 

He said this technology may one day help patients affected by various brain and spinal cord injuries such as strokes and traumatic brain injury.

Battelle also developed a non-invasive neurostimulation technology in the form of a wearable sleeve that allows for precise activation of small muscle segments in the arm to enable individual finger movement, along with software that forms a ‘virtual spinal cord’ to allow for coordination of dynamic hand and wrist movements.

The Ohio State and Battelle teams worked together to figure out the correct sequence of electrodes to stimulate to allow Burkhart to move his fingers and hand functionally. For example, Burkhart uses different brain signals and muscles to rotate his hand, make a fist or pinch his fingers together to grasp an object, Mysiw said. As part of the study, Burkhart worked for months using the electrode sleeve to stimulate his forearm to rebuild his atrophied muscles so they would be more responsive to the electric stimulation.

“I’ve been doing rehabilitation for a lot of years, and this is a tremendous stride forward in what we can offer these people,” said Mysiw, chair of the Department of Physical Medicine and Rehabilitation at Ohio State. “Now we’re examining human-machine interfaces and interactions, and how that type of technology can help.”  

Burkhart is hopeful for his future.

“It’s definitely great for me to be as young as I am when I was injured because the advancements in science and technology are growing rapidly and they’re only going to continue to increase.”

Filed under Neurobridge spinal cord injuries mind control brain activity muscle stimulation neuroscience science

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Scientists tie social behavior to activity in specific brain circuit

A team of Stanford University investigators has linked a particular brain circuit to mammals’ tendency to interact socially. Stimulating this circuit — one among millions in the brain — instantly increases a mouse’s appetite for getting to know a strange mouse, while inhibiting it shuts down its drive to socialize with the stranger.

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The new findings, published June 19 in Cell, may throw light on psychiatric disorders marked by impaired social interaction such as autism, social anxiety, schizophrenia and depression, said the study’s senior author, Karl Deisseroth, MD, PhD, a professor of bioengineering and of psychiatry and behavioral sciences. The findings are also significant in that they highlight not merely the role of one or another brain chemical, as pharmacological studies tend to do, but rather the specific components of brain circuits involved in a complex behavior. A combination of cutting-edge techniques developed in Deisseroth’s laboratory permitted unprecedented analysis of how brain activity controls behavior.

Deisseroth, the D.H. Chen Professor and a member of the interdisciplinary Stanford Bio-X institute, is a practicing psychiatrist who sees patients with severe social deficits. “People with autism, for example, often have an outright aversion to social interaction,” he said. They can find socializing — even mere eye contact — painful.

Deisseroth pioneered a brain-exploration technique, optogenetics, that involves selectively introducing light-receptor molecules to the surfaces of particular nerve cells in a living animal’s brain and then carefully positioning, near the circuit in question, the tip of a lengthy, ultra-thin optical fiber (connected to a laser diode at the other end) so that the photosensitive cells and the circuits they compose can be remotely stimulated or inhibited at the turn of a light switch while the animal remains free to move around in its cage.

Monitoring activity in real time

Using optogenetics and other methods he and his associates have invented, Deisseroth and his associates were able to both manipulate and monitor activity in specific nerve-cell clusters, and the fiber tracts connecting them, in mice’s brains in real time while the animals were exposed to either murine newcomers or inanimate objects in various laboratory environments. The mice’s behavioral responses were captured by video and compared with simultaneously recorded brain-circuit activity.

In some cases, the researchers observed activity in various brain centers and nerve-fiber tracts connecting them as the mice variously examined or ignored one another. Other experiments involved stimulating or inhibiting impulses within those circuits to see how these manipulations affected the mice’s social behavior.

To avoid confusing simple social interactions with mating- and aggression-related behaviors, the researchers restricted their experiments to female mouse pairs.

The scientists first examined the relationship between the mice’s social interactions and a region in the brain stem called the ventral tegmental area. The VTA is a key node in the brain’s reward circuitry, which produces sensations of pleasure in response to success in such survival-improving activities as eating, mating or finding a warm shelter in a cold environment.

The VTA transmits signals to other centers throughout the brain via tracts of fibers that secrete chemicals, including one called dopamine, at contact points abutting nerve cells within these faraway centers. When dopamine lands on receptors on those nerve cells, it can set off signaling activity within them.

Abnormal activity in the VTA has been linked to drug abuse and depression, for example. But much less is known about this brain center’s role in social behavior, and it had not previously been possible to observe or control activity along its connections during social behavior.

Deisseroth and his colleagues used mice whose dopamine-secreting, or dopaminergic, VTA nerve cells had been bioengineered to express optogenetic control proteins that could set off or inhibit signaling in the cells in response to light. They observed that enhancing activity in these cells increased a mouse’s penchant for social interaction. When a newcomer was introduced into its cage, it came, it saw, it sniffed. Inhibiting the dopaminergic VTA cells had the opposite effect: The host lost much of its interest in the guest.

Only social interaction affected

On the other hand, such manipulations of the VTA’s dopaminergic cells had no effect on the mice’s penchant for exploring novel objects (a golf ball, for example) placed in their cages. Nor did it change their overall propensity to move around. The effect appeared to be specific for social interaction.

Finding out exactly which dopaminergic projections from the VTA, traveling to which remote brain structures, were carrying the signals that generate exploratory social behavior required designing a new monitoring methodology. The signals traveling along such projections are extremely weak and confounded by background noise, especially when located deep within the brains of ambulatory animals. Deisseroth’s group overcame this by developing a highly sensitive technology capable of plucking these tiny signals out of the surrounding noise. The new technique, called fiber photometry, is a sophisticated way of measuring calcium flux, which invariably accompanies signaling activity along the fibers projecting from nerve cells.

Using a combination of optogenetics and fiber photometry, the investigators were able to demonstrate that a particular tract projecting from the VTA to a mid-brain structure called the nucleus accumbens (also strongly implicated in the reward system) was the relevant conduit carrying the impetus to social interaction in the mice.

A third technological trick helped determine which recipient nerve cells within the nucleus accumbens were involved in the social-behavior circuitry. That structure’s two types of dopamine-responsive cells are differentiated by the types of dopamine receptors, referred to as D1 and D2, on their surfaces. The team performed experiments in animals bioengineered so that the normally D1-containing cells instead expressed a modified, light-inducible version of that receptor. These experiments, along with complementary experiments blocking the D1 receptors with specific drug antagonists, showed that the D1 nucleus-accumbens nerve cells were mediating the changes in social behavior. Tripping off those receptors, either by optogenetically inducing incoming tracts to deliver dopamine to these receptors, or by directly stimulating light-activated forms of these receptors on the target cells, enhanced mice’s social exploration.

Helping to see how social behavior can go wrong

“Every behavior presumably arises from a pattern of activity in the brain, and every behavioral malfunction arises from malfunctioning circuitry,” said Deisseroth, who is also co-director of Stanford’s Cracking the Neural Code Program. “The ability, for the first time, to pinpoint a particular nerve-cell projection involved in the social behavior of a living, moving animal will greatly enhance our ability to understand how social behavior operates, and how it can go wrong.”

(Source: med.stanford.edu)

Filed under social interaction brain activity autism schizophrenia optogenetics fiber photometry neuroscience science

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