Posts tagged neural activity
Articles and news from the latest research reports.
Study sheds light on how our brains move limbs
A Queen’s University study is giving new insight into how the neurons in our brains control our limbs. The research might one day help with the design of more functional artificial limbs.
“We’ve taken a step closer to understanding how our arms and legs work and how we move our bodies,” says neuroscience researcher Tim Lillicrap, who worked with neuroscience professor Stephen Scott on the study.
The researchers used a novel network model, coupled with a computer biophysics model of a limb, to explain some of the prominent patterns of neural activity seen in the brain during movements.
The findings refine previous notions of how neurons in the primary motor cortex fire and drive muscles. The primary motor cortex is the region of the brain that sends the largest number of connections to the spinal cord.
When moving an arm or a leg, nerve impulses are sent along nerve fibres to control the movement of limbs. Different movements require different patterns of nerve impulses — the relationship between these neural patterns and the resulting movements is poorly understood.
The study demonstrates that the patterns of activity are related to specific details of limb physics — for example, the patterns of neural activity are tuned (or optimized) for muscle architecture and limb geometry.
Dr. Lillicrap, who did the study as part of his PhD thesis at Queen’s and is now a post-doctoral fellow at Oxford University in England, says better understanding of how the brain controls limbs will help develop artificial limbs in the future.
(Source: queensu.ca)
New Discovery in Autism-Related Disorder Reveals Key Mechanism in Brain Development and Disease
A new finding in neuroscience for the first time points to a developmental mechanism linking the disease-causing mutation in an autism-related disorder, Timothy syndrome, and observed defects in brain wiring, according to a study led by scientist Ricardo Dolmetsch and published online yesterday in Nature Neuroscience. These findings may be at the heart of the mechanisms underlying intellectual disability and many other brain disorders.
The present study reveals that a mutation of the disease-causing gene throws a key process of neurodevelopment into reverse. That is, the mutation underlying Timothy syndrome causes shrinkage, rather than growth, of the wiring needed for the development of neural circuits that underlie cognition.
“In addition to the implications for autism, what’s really exciting is that we now have a way to get at the core mechanisms tying genes and environmental influences to development and disease processes in the brain,” said Dolmetsch, Senior Director of Molecular Networks at the Allen Institute for Brain Science.
“Imagine what we can learn if we do this hundreds and hundreds of times for many different human genetic variations in a large-scale, systematic way. That’s what we are doing now at the Allen Institute,” Dolmetsch continued.
In normal brain development, brain activity causes branches emanating from neural cells to stretch or expand. In cells with the mutation, these branched extensions, called dendrites, instead retract in response to neural activity, according to this study. This results in abnormal brain circuitry favoring connections with nearby neurons rather than farther-reaching connections. Further, the study identified a previously unknown mode of signaling to uncover the chemical pathway that causes the dendritic retraction.
This finding may have wide-reaching implications in neuroscience, as impaired dendrite formation is a common feature of many neurodevelopmental disorders. Further, the same gene has been implicated in other disorders including bipolar disorder and schizophrenia.
Under Dolmetsch’s leadership, the Molecular Networks program at the Allen Institute, one of three major new initiatives announced by the Institute last March, is using similar methods on a grand scale. The Institute is probing a large number of human genetic variations and many pathways in the brain to untangle the cellular mechanisms of neurodevelopment and disease. In addition to identifying the molecular and environmental rules that shape how the brain is built, the program will create new research tools and data sets that it will share publicly with the global research community.
Timothy syndrome is a neurodevelopmental disorder associated with autism spectrum disorders and caused by a mutation in a single gene. In addition to autism, it is also characterized by cardiac arrhythmias, webbed fingers and toes, and hypoglycemia, and often leads to death in early childhood.
(Image: iStock)
Brain rhythms help sense of location
Scientists have shed light on how mechanisms in the brain work to give us a sense of location. Research at the University of Edinburgh tracked electrical signals in the part of the brain linked to spatial awareness.
Sense of where we are
The study could help us understand how, if we know a room, we can go into it with our eyes shut and find our way around. This is closely related to the way we map out how to get from one place to another.
Brain’s electrical activity
Scientists found that brain cells, which code location through increases in electrical activity, do not do so by talking directly to each other. Instead, they can only send each other signals through cells that are known to reduce electrical activity. This is unexpected as cells that reduce electrical signalling are often thought to simply supress brain activity.
Rhythms of brain activity
The research also looked at electrical rhythms or waves of brain activity. Previous studies have found that spatial awareness is linked to not only the number and strength of electrical signals but also where on the electrical wave they occur.
The research shows that the indirect communication between nerve cells that are involved in spatial awareness also helps to explain how these electrical waves are generated. This finding is surprising because its suggests that the same cellular mechanisms allow our brains to work out our location and generate rhythmic waves of activity.
Spatial awareness and the brain’s electrical rhythms are known to be affected in conditions such as schizophrenia and Alzheimer’s disease. The scientists work could therefore help research in these areas.
Research
The study, funded by the Biotechnology and Biological Research Council, is published in the journal Neuron.
It looked at connections between nerve cells in the brain needed for spatial awareness in mice and then used computer modelling to recreate patterns of neural activity found in the brain.
Rhythms in brain activity are very mysterious and the research helps shed some light on this area as well as helping us understand how our brains code spatial information. It is particularly interesting that cells thought to encode location do not signal to each other directly but do so through intermediary cells. This is somewhat like members of a team not talking to each other, but instead sending messages via members of an opposing side. -Matt Nolan (Centre for Integrative Physiology)
(Source: ed.ac.uk)
A 3-D Light Switch for the Brain
A new tool for neuroscientists delivers a thousand pinpricks of light to a chunk of gray matter smaller than a sugar cube. The new fiber-optic device, created by biologists and engineers at the Massachusetts Institute of Technology (MIT) in Cambridge, is the first tool that can deliver precise points of light to a 3-D section of living brain tissue. The work is a step forward for a relatively new but promising technique that uses gene therapy to turn individual brain cells on and off with light.
Scientists can use the new 3-D “light switch” to better understand how the brain works. It might also be used one day to create neural prostheses that could treat conditions such as Parkinson’s disease and epilepsy. The researchers describe their device in a paper published today in the Optical Society’s (OSA) journal Optics Letters.
The technique of manipulating neurons with light is only a few years old, but the authors estimate that thousands of scientists are already using this technology, called optogenetics, to study the brain. In optogenetics, researchers first sensitize select cells in the brain to a particular color of light. Then, by illuminating precise areas of the brain, they are able to selectively activate or deactivate the individual neurons that have been sensitized.
Ed Boyden, a synthetic biologist at MIT and co-lead researcher on the paper, is a pioneer of this emerging field, which he says offers the ability to probe connections in the brain.
"You can see neural activity in the brain that is associated with specific behaviors," Boyden says, “but is it important? Or is it a passive copy of important activity located elsewhere in the brain? There’s no way to know for sure if you just watch.” Optogenetics allows scientists to play a more active role in probing the brain’s connections, to fire up one type of cell or deactivate another and then observe the effect on a behavior, such as quieting a seizure.
Unlike the previous, 1-D versions of this light-emitting device, the new tool delivers light to the brain in three dimensions, opening the potential to explore entire circuits within the brain. So far, the 3-D version has been tested in mice, although Boyden and colleagues have used earlier optogenetic technologies with non-human primates as well.
Functional Connectivity and Tuning Curves in Populations of Simultaneously Recorded Neurons
How interactions between neurons relate to tuned neural responses is a longstanding question in systems neuroscience. Here we use statistical modeling and simultaneous multi-electrode recordings to explore the relationship between these interactions and tuning curves in six different brain areas. We find that, in most cases, functional interactions between neurons provide an explanation of spiking that complements and, in some cases, surpasses the influence of canonical tuning curves. Modeling functional interactions improves both encoding and decoding accuracy by accounting for noise correlations and features of the external world that tuning curves fail to capture. In cortex, modeling coupling alone allows spikes to be predicted more accurately than tuning curve models based on external variables. These results suggest that statistical models of functional interactions between even relatively small numbers of neurons may provide a useful framework for examining neural coding.
A better brain implant: Slim electrode cozies up to single neurons
A thin, flexible electrode developed at the University of Michigan is 10 times smaller than the nearest competition and could make long-term measurements of neural activity practical at last.
This kind of technology could eventually be used to send signals to prosthetic limbs, overcoming inflammation larger electrodes cause that damages both the brain and the electrodes.
The main problem that neurons have with electrodes is that they make terrible neighbors. In addition to being enormous compared to the neurons, they are stiff and tend to rub nearby cells the wrong way. The resident immune cells spot the foreigner and attack, inflaming the brain tissue and blocking communication between the electrode and the cells.
The new electrode developed by the teams of Daryl Kipke, a professor of biomedical engineering, Joerg Lahann, a professor of chemical engineering, and Nicholas Kotov, the Joseph B. and Florence V. Cejka Professor of Engineering, is unobtrusive and even friendly in comparison. It is a thread of highly conductive carbon fiber, coated in plastic to block out signals from other neurons. The conductive gel pad at the end cozies up to soft cell membranes, and that close connection means the signals from brain cells come in much clearer.
"It’s a huge step forward," Kotov said. "This electrode is about seven microns in diameter, or 0.007 millimeters, and its closest competitor is about 25 to 100 microns."
Learning who’s the top dog: Study reveals how the brain stores information about social rank
Researchers supported by the Wellcome Trust have discovered that we use a different part of our brain to learn about social hierarchies than we do to learn ordinary information. The study provides clues as to how this information is stored in memory and also reveals that you can tell a lot about how good somebody is likely to be at judging social rank by looking at the structure of their brain.
Primates (and people) are remarkably good at ranking each other within social hierarchies, a survival technique that helps us to avoid conflict and select advantageous allies. However, we know surprisingly little about how the brain does this.
The team at the UCL Institute for Cognitive Neuroscience used brain imaging techniques to investigate this in twenty six healthy volunteers.
Participants were asked to play a simple science fiction computer game where they would be acting as future investors. In the first phase they were told they would first need to learn about which individuals have more power within a fictitious space mining company (the social hierarchy), and then which galaxies have more precious minerals (non-social information).
Whilst they were taking part in the experiments, the team used functional magnetic resonance imaging (fMRI) to monitor activity in their brains. Another MRI scan was also taken to look at their brain structure.
Their findings reveal a striking dissociation between the neural circuits used to learn social and non-social hierarchies. They observed increased neural activity in both the amygdala and the hippocampus when participants were learning about the hierarchy of executives within the fictitious space mining company. In contrast, when learning about the non-social hierarchy, relating to which galaxies had more mineral, only the hippocampus was recruited.
(Source: eurekalert.org)
Let there be sight: Burst of neural activity necessary for vision
A sudden and mysterious burst of activity originating in the retina of a developing fetus spurs brain connections that are essential to development of finely-tuned sight, Yale researchers report in the journal Nature. Interference with this spontaneous wave of activity could play a role in neurodevelopmental disorders such as autism, the scientists speculate.
The study in mice is the first to demonstrate in a living animal that this wave of activity spreads throughout large regions of the brain and is crucial to wiring of the visual system. Without the wiring, infants would not be able to distinguish details in their environment.
“If you interfere with this activity, the circuits are all messed up, the wiring details are all wrong,” said Michael Crair, the William Ziegler III Professor of Neurobiology and Professor of Ophthalmology and Visual Science and senior author of the study.
For instance, this activity might allow a newborn human baby to perceive such details as the five fingers attached to her hand or her mother’s face. This wave wires up the visual system so that infants are poised to learn from their environment soon after birth.
The development of animals from a fertilized egg into trillions of intricately connected and specialized cells is the result of a precisely timed expression of genes. However, the Nature paper introduces another necessary factor — a mysterious wave of activity arising in the retina itself that propagates through several regions of the brain. Crair terms this wave an emergent property, or a trait possessed by a complex system that cannot be directly traced to its individual parts. This experiment in living, neonatal mice shows that this wave is crucial to the proper wiring not only of the visual system but other brain areas as well.
Crair said his lab plans to explore whether interruptions of this activity might play a role in neurodevelopmental disorders such as autism or schizophrenia.
(Source: news.yale.edu)
New statistical method provides way to analyze synchronized neural activity in animals
The synchronized electrical activity of multiple neurons gives rise to coordinated network activity. This cooperative activity is highly dynamic and widely thought to be critical for organization behavior and cognitive processes.
Current methods for the statistical analysis of synchronized activity can analyze pairs of cells or detect the existence of correlations between multiple neurons. However, there is no way of accurately determining specific groups of neurons that interact with each other, and how this activity changes with time.