Posts tagged neuron
Articles and news from the latest research reports.
The Brain Set Free
August 11th, 2012
By Laura Sanders
Lifting neural constraints could turn back time, making way for youthful flexibility
Michael Morgenstern
A baby’s brain is a thirsty sponge, slurping up words, figuring out faces and learning which foods are good and bad to eat. Information about the world flooding into a young brain begins to carve out traces, like rushing water over soft limestone. As the outside world sculpts the growing brain, important connections between nerve cells become strong rivers, while smaller unused tributaries quietly disappear.
In time, these brain connections crystallize, forming indelible patterns etched into marble. Impressionable brain systems that allowed a child to easily learn a language, for instance, go away, abandoned for the speed and strength that come with rigidity. In a fully set brain, signals fly around effortlessly, making commonplace tasks short work. A master of efficiency, the adult brain loses the exuberance of childhood.
But the adult brain need not remain in this petrified state. In a feat of neural alchemy, the brain can morph from marble back to limestone.
The potential for this metamorphosis has galvanized scientists, who now talk about a mind with the power to remake itself. In the last few years, researchers have found ways to soften the stone, recapturing some of the lost magic of a young brain.
“There’s been a very, very significant change,” says Richard Davidson of the University of Wisconsin–Madison. “I don’t think the import of that basic fact has fully expressed itself.”
Though this research is still in its early stages, studies suggest techniques that dissolve structures that pin brain cells in place, interrupt molecular stop signals and tweak the rush of nerve cell activity can restore the brain’s youthful glow. Scientists are already attempting to reverse brain rigidity, boosting what’s known as “plasticity” in people with a vision disorder once thought to be irreversible in adults.
These efforts are not an exercise in neural vanity. A malleable brain, researchers hope, can heal after a stroke, combat the decline in vision that comes with old age and perhaps even repair a severed spinal cord. An end to childhood — and the prodigal learning that comes with it — does not need to eliminate the brain’s capacity for change. “There are still windows of opportunity out there,” says neuroscientist Daphné Bavelier of the University of Rochester in New York. “It may require a little more work to open them, though.”
A group of researchers has developed some exciting new techniques for imaging neuronal and synaptic networks using the hard synchrotron x-rays provided by the U.S. Department of Energy Office of Science’s Advanced Photon Source (APS).
These techniques provide images with unprecedented detail and resolution, and open the door to three-dimensional tomographic reconstructions, a vital tool for studying the complex tree-like branching nature of neuronal networks.
Understanding intricate neuronal and synaptic networks, particularly in more complex mammalian brains, requires high-resolution mapping of large volumes of tissue, preferably in three dimensions in order to capture all the subtle structural details.
"Mapping neuron networks has been providing a very significant understanding of how the brain works," said Yeukwang Hwu of Academia Sinica in Taipei, Taiwan, lead author of the paper on this new study, which was published in the Journal of Physics D: Applied Physics.
Simple Mathematical Computations Underlie Brain Circuits
August 8th, 2012
The brain has billions of neurons, arranged in complex circuits that allow us to perceive the world, control our movements and make decisions. Deciphering those circuits is critical to understanding how the brain works and what goes wrong in neurological disorders.
MIT neuroscientists have now taken a major step toward that goal. In a new paper appearing in the Aug. 9 issue of Nature, they report that two major classes of brain cells repress neural activity in specific mathematical ways: One type subtracts from overall activation, while the other divides it.
“These are very simple but profound computations,” says Mriganka Sur, the Paul E. Newton Professor of Neuroscience and senior author of the Nature paper. “The major challenge for neuroscience is to conceptualize massive amounts of data into a framework that can be put into the language of computation. It had been a mystery how these different cell types achieve that.”
Neuroscientists report that two major classes of brain cells repress neural activity in specific mathematical ways: One type subtracts from overall activation, while the other divides it.
The findings could help scientists learn more about diseases thought to be caused by imbalances in brain inhibition and excitation, including autism, schizophrenia and bipolar disorder.
Lead authors of the paper are grad student Caroline Runyan and postdoc Nathan Wilson. Forea Wang ’11, who contributed to the work as an MIT undergraduate, is also an author of the paper.
A fine balance
There are hundreds of different types of neuron in the brain; most are excitatory, while a smaller fraction are inhibitory. All sensory processing and cognitive function arises from the delicate balance between these two influences. Imbalances in excitation and inhibition have been associated with schizophrenia and autism.
“There is growing evidence that alterations in excitation and inhibition are at the core of many subsets of neuropsychiatric disorders,” says Sur, who is also the director of the Simons Center for the Social Brain at MIT. “It makes sense, because these are not disorders in the fundamental way in which the brain is built. They’re subtle disorders in brain circuitry and they affect very specific brain systems, such as the social brain.”
In the new Nature study, the researchers investigated the two major classes of inhibitory neurons. One, known as parvalbumin-expressing (PV) interneurons, targets neurons’ cell bodies. The other, known as somatostatin-expressing (SOM) interneurons, targets dendrites — small, branching projections of other neurons. Both PV and SOM cells inhibit a type of neuron known as pyramidal cells.
To study how these neurons exert their influence, the researchers had to develop a way to specifically activate PV or SOM neurons, then observe the reactions of the target pyramidal cells, all in the living brain.
First, the researchers genetically programmed either PV or SOM cells in mice to produce a light-sensitive protein called channelrhodopsin. When embedded in neurons’ cell membranes, channelrhodopsin controls the flow of ions in and out of the neurons, altering their electrical activity. This allows the researchers to stimulate the neurons by shining light on them.
The team combined this with calcium imaging inside the target pyramidal cells. Calcium levels reflect a cell’s electrical activity, allowing the researchers to determine how much activity was repressed by the inhibitory cells.
“Up until maybe three years ago, you could only just blindly record from whatever cell you ran into in the brain, but now we can actually target our recording and our manipulation to well-defined cell classes,” Runyan says.
Taking a circuit apart
In this study, the researchers wanted to see how activation of these inhibitory neurons would influence how the brain processes visual input — in this case, horizontal, vertical or tilted bars. When such a stimulus is presented, individual cells in the eye respond to points of light, then convey that information to the thalamus, which relays it to the visual cortex. The information stays spatially encoded as it travels through the brain, so a horizontal bar will activate corresponding rows of cells in the brain.
Those cells also receive inhibitory signals, which help to fine-tune their response and prevent overstimulation. The MIT team found that these inhibitory signals have two distinct effects: Inhibition by SOM neurons subtracts from the total amount of activity in the target cells, while inhibition by PV neurons divides the total amount of activity in the target cells.
“Now that we finally have the technology to take the circuit apart, we can see what each of the components do, and we found that there may be a profound logic to how these networks are naturally designed,” Wilson says.
These two types of inhibition also have different effects on the range of cell responses. Every sensory neuron responds only to a particular subset of stimuli, such as a range of brightness or a location. When activity is divided by PV inhibition, the target cell still responds to the same range of inputs. However, with subtraction by SOM inhibition, the range of inputs to which cells will respond becomes narrower, making the cell more selective.
Increased inhibition by PV neurons also changes a trait known as the response gain — a measurement of how much cells respond to changes in contrast. Inhibition by SOM neurons does not alter the response gain.
The researchers believe this type of circuit is likely repeated throughout the brain and is involved in other types of sensory perception, as well as higher cognitive functions.
Sur’s lab now plans to study the role of PV and SOM inhibitory neurons in a mouse model of autism. These mice lack a gene called MeCP2, giving rise to Rett Syndrome, a rare disease that produces autism-like symptoms as well as other neurological and physical impairments. Using their new technology, the researchers plan to test the hypothesis that a lack of neuronal inhibition underlies the disease.
Source: Neuroscience News
The brains of people with schizophrenia may attempt to heal from the disease
7 August 2012
New NeuRA research shows that the brains of people with schizophrenia may attempt to repair damage caused by the disease, in another example of the adult brain’s capacity to change and grow.
Prof Cyndi Shannon Weickert, Dr Dipesh Joshi and colleagues from Neuroscience Research Australia studied the brains of people with schizophrenia and focussed on one of the hardest-hit regions, the orbitofrontal cortex, which is the part of the brain involved in regulating emotional and social behaviour.
Most neurons – brain cells that transmit information – are found in tissue near the surface of the brain. However, in the brains of people with schizophrenia, the team found a high density of neurons in deeper areas.
“For over a decade we’ve known about the high density of neurons in deeper brain tissue in people with schizophrenia. Researchers thought these neurons were simply forgotten by the brain, and somehow didn’t die off like they do during development in healthy people,” says Prof Shannon Weickert.
“What we now have is evidence that suggests these neurons are derived from the part of the brain that produces new neurons, and that they may be in the process of moving. We can’t be sure where they are moving to, but given their location it is likely they are on their way to the surface of the brain, the area most affected by schizophrenia,” Prof Shannon Weickert concluded.
How was this study done?
- Brain tissue from the orbitofrontal cortex from 38 people with schizophrenia and 38 people without the disease were used in this study.
- The density of interstitial neurons in the white matter, and the density of GABAergic neurons in the grey matter were measured.
- An increased density of interstitial white matter neurons in the white matter, and decreased density of GABAergic neurons in the grey matter was found.
- This pattern suggests that the migration of interstitial white matter neurons towards an area where they are lacking, because of schizophrenia, is a response to the disease.
Brain’s Stem Cells “Eavesdrop” to Find out When to Act
Release Date: 08/06/2012
Working with mice, Johns Hopkins researchers say they have figured out how stem cells found in a part of the brain responsible for learning, memory and mood regulation decide to remain dormant or create new brain cells. Apparently, the stem cells “listen in” on the chemical communication among nearby neurons to get an idea about what is stressing the system and when they need to act.
A single parvalbumin-expressing interneuron (red) surrounded by many adult neural stem cells (green) in the brain’s hippocampus. Credit: Gerry Sun
The researchers say understanding this process of chemical signaling may shed light on how the brain reacts to its environment and how current antidepressants work, because in animals these drugs have been shown to increase the number of brain cells. The findings are reported July 29 in the advance online publication of Nature.
“What we learned is that brain stem cells don’t communicate in the official way that neurons do, through synapses or by directly signaling each other,” says Hongjun Song, Ph.D., professor of neurology and director of Johns Hopkins Medicine’s Institute for Cell Engineering’s Stem Cell Program. “Synapses, like cell phones, allow nerve cells to talk with each other. Stem cells don’t have synapses, but our experiments show they indirectly hear the neurons talking to each other; it’s like listening to someone near you talking on a phone.”
The “indirect talk” that the stem cells detect is comprised of chemical messaging fueled by the output of neurotransmitters that leak from neuronal synapses, the structures at the ends of brain cells that facilitate communication. These neurotransmitters, released from one neuron and detected by a another one, trigger receiving neurons to change their electrical charges, which either causes the neuron to fire off an electrical pulse propagating communication or to settle down, squelching further messages.
To find out which neurotransmitter brain stem cells can detect, the researchers took mouse brain tissue, attached electrodes to the stem cells and measured any change in electrical charge after the addition of certain neurotransmitters. When they treated the stem cells with the neurotransmitter GABA – a known signal-inhibiting product the stem cells’ electrical charges changed, suggesting that the stem cells can detect GABA messages.
To find out what message GABA imparts to brain stem cells, the scientists used a genetic trick to remove the gene for the GABA receptor — the protein on the surface of the cell that detects GABA — only from the brain stem cells. Microscopic observation of brain stem cells lacking the GABA receptor over five days showed these cells replicated themselves, or produced glial cells — support cells for the neurons in the brain. Brain stem cells with their GABA receptors intact appeared to stay the same, not making more cells.
Next, the team treated normal mice with valium, often used as an anti-anxiety drug and known to act like GABA by activating GABA receptors when it comes in contact with them. The scientists checked the mice on the second and seventh day of valium use and counted the number of brain stem cells in untreated mice and mice treated with the GABA activator. They found the treated mice had many more dormant stem cells than the untreated mice.
“Traditionally GABA tells neurons to shut down and not continue to propagate a message to other neurons,” says Song. “In this case the neurotransmitter also shuts off the stem cells and keeps them dormant.”
The brain stem cell population in mice (and other mammals, including humans) is surrounded by as many as 10 different kinds of intermingled neurons, says Song, and any number of these may be keeping stem cells dormant. To find out which neurons control the stem cells, the researchers inserted special light-activating proteins into the neurons that trigger the cells to send an electrical pulse, as well as to release neurotransmitter, when light shines on them. By shining light to activate a specific type of neuron and monitoring the stem cells with an electrode, Song’s team showed that one of the three types of neurons tested transmitted a signal to the stem cells causing a change in electrical charge in the stem cells. The neurons messaging the stem cells are parvalbumin-expressing interneurons.
Finally, to see if this stem cell control mechanism aligns with what an animal may be experiencing, the scientists created stress for normal mice by socially isolating them, and did the same in mice lacking GABA receptors in their brain stem cells. After a week, socially isolated normal mice had an increase in the number of stem cells and glial cells. But the socially isolated mice without GABA receptors did not show increases.
“GABA communication clearly conveys information about what brain cells experience of the outside world, and, in this case, keeps the brain stem cells in reserve, so if we don’t need them, we don’t use them up,” says Song.
Source: Johns Hopkins Medicine
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.
Scientists Turn Fly Neurons Into Gorgeous Art
Using technology affectionately dubbed “Brainbow,” scientists can color-code individual neurons inside the tiny brain of a fruit fly.
Fruit Flies On Methamphetamine Die Largely as a Result of Anorexia
The abuse of methamphetamine can have significant harmful side effects in humans. It burdens the body with toxic metabolic byproducts and weakens the heart, muscles and bones. It alters energy metabolism in the brain and kills brain cells.
Previous studies have shown that the fruit fly Drosophila melanogaster is a good model organism for studying the effects of methamphetamine on the body and brain. Researchers have found that meth exposure has similar toxicological effects in fruit flies and in humans and other mammals.
Alzheimer’s villain cures multiple sclerosis in mice
A notorious biochemical villain has just revealed its heroic side. Beta-amyloid, a misfolded protein fragment blamed for killing brain cells in Alzheimer’s disease, has reversed the symptoms of mice suffering from the rodent equivalent of multiple sclerosis (MS).
MS occurs when the immune system mistakenly attacks the fatty myelin sheaths around nerve fibres that serve as electrical insulation. Without this insulation, nervous impulses falter, leading to physical and cognitive problems. Myelin increases the speed at which electrical impulses travel around the body.
As it is destroyed, nerve communication falters, leading to physical and cognitive problems. Lawrence Steinman of Stanford University in California had expected amyloid-beta to exacerbate this damage, given that it is toxic to neurons and builds up where myelin sheaths are being destroyed.
How the Brain and Nerve Cells Change During Alzheimer’s Disease
One of the hallmarks of Alzheimer’s disease is the accumulation of amyloid plaques between nerve cells (neurons) in the brain. Beta amyloid is a fragment of a protein snipped from another protein called amyloid precursor protein (APP). In a healthy brain, these protein fragments would break down and be eliminated. In Alzheimer’s disease, the fragments accumulate to form hard, insoluble plaques.
Neurofibrillary tangles are insoluble twisted fibers found inside the brain’s nerve cells. They primarily consist of a protein called tau, which forms part of a structure called a microtubule. The microtubule helps transport nutrients and other important substances from one part of the nerve cell to another. Axons are long threadlike extensions that conduct nerve impulses away from the nerve cell; dendrites are short branched threadlike extensions that conduct nerve impulses towards the nerve cell body. In Alzheimer’s disease the tau protein is abnormal and the microtubule structures collapse.
As Alzheimer’s disease spreads through the cerebral cortex (the outer layer of the brain), judgment worsens, emotional outbursts may occur and language is impaired. Memory worsens and may become almost non-existent. On average, those with Alzheimer’s live for 8 to 10 years after diagnosis, but this terminal disease can last for as long as 20 years.