Posts tagged neural circuits
Articles and news from the latest research reports.
(Image caption: Calcium imaging of neurons in a rat hippocampal slice through transparent graphene electrode. Black square at the center is transparent graphene electrode and neurons are shown in green. Yellow traces shows a representative example of electrophysiological recordings with graphene electrode. Credit: Hajime Takano and Duygu Kuzum)
Researchers from the Perelman School of Medicine and School of Engineering at the University of Pennsylvania and The Children’s Hospital of Philadelphia have used graphene — a two-dimensional form of carbon only one atom thick — to fabricate a new type of microelectrode that solves a major problem for investigators looking to understand the intricate circuitry of the brain.
Pinning down the details of how individual neural circuits operate in epilepsy and other neurological disorders requires real-time observation of their locations, firing patterns, and other factors, using high-resolution optical imaging and electrophysiological recording. But traditional metallic microelectrodes are opaque and block the clinician’s view and create shadows that can obscure important details. In the past, researchers could obtain either high-resolution optical images or electrophysiological data, but not both at the same time.
The Center for NeuroEngineering and Therapeutics (CNT), under the leadership of senior author Brian Litt, PhD, has solved this problem with the development of a completely transparent graphene microelectrode that allows for simultaneous optical imaging and electrophysiological recordings of neural circuits. Their work was published this week in Nature Communications.
"There are technologies that can give very high spatial resolution such as calcium imaging; there are technologies that can give high temporal resolution, such as electrophysiology, but there’s no single technology that can provide both," says study co-first-author Duygu Kuzum, PhD. Along with co-author Hajime Takano, PhD, and their colleagues, Kuzum notes that the team developed a neuroelectrode technology based on graphene to achieve high spatial and temporal resolution simultaneously.
Aside from the obvious benefits of its transparency, graphene offers other advantages: “It can act as an anti-corrosive for metal surfaces to eliminate all corrosive electrochemical reactions in tissues,” Kuzum says. “It’s also inherently a low-noise material, which is important in neural recording because we try to get a high signal-to-noise ratio.”
While previous efforts have been made to construct transparent electrodes using indium tin oxide, they are expensive and highly brittle, making that substance ill-suited for microelectrode arrays. “Another advantage of graphene is that it’s flexible, so we can make very thin, flexible electrodes that can hug the neural tissue,” Kuzum notes.
In the study, Litt, Kuzum, and their colleagues performed calcium imaging of hippocampal slices in a rat model with both confocal and two-photon microscopy, while also conducting electrophysiological recordings. On an individual cell level, they were able to observe temporal details of seizures and seizure-like activity with very high resolution. The team also notes that the single-electrode techniques used in the Nature Communications study could be easily adapted to study other larger areas of the brain with more expansive arrays.
The graphene microelectrodes developed could have wider application. “They can be used in any application that we need to record electrical signals, such as cardiac pacemakers or peripheral nervous system stimulators,” says Kuzum. Because of graphene’s nonmagnetic and anti-corrosive properties, these probes “can also be a very promising technology to increase the longevity of neural implants.” Graphene’s nonmagnetic characteristics also allow for safe, artifact-free MRI reading, unlike metallic implants.
Kuzum emphasizes that the transparent graphene microelectrode technology was achieved through an interdisciplinary effort of CNT and the departments of Neuroscience, Pediatrics, and Materials Science at Penn and the division of Neurology at CHOP.
Ertugrul Cubukcu’s lab at Materials Science and Engineering Department helped with the graphene processing technology used in fabricating flexible transparent neural electrodes, as well as performing optical and materials characterization in collaboration with Euijae Shim and Jason Reed. The simultaneous imaging and recording experiments involving calcium imaging with confocal and two photon microscopy was performed at Douglas Coulter‘s Lab at CHOP with Hajime Takano. In vivo recording experiments were performed in collaboration with Halvor Juul in Marc Dichter’s Lab. Somatosensory stimulation response experiments were done in collaboration with Timothy Lucas’s Lab, Julius De Vries, and Andrew Richardson.
As the technology is further developed and used, Kuzum and her colleagues expect to gain greater insight into how the physiology of the brain can go awry. “It can provide information on neural circuits, which wasn’t available before, because we didn’t have the technology to probe them,” she says. That information may include the identification of specific marker waveforms of brain electrical activity that can be mapped spatially and temporally to individual neural circuits. “We can also look at other neurological disorders and try to understand the correlation between different neural circuits using this technique,” she says.
Are Male Brains Wired to Ignore Food for Sex?
Choosing between two good things can be tough. When animals must decide between feeding and mating, it can get even trickier. In a discovery that might ring true even for some humans, researchers have shown that male brains – at least in nematodes – will suppress the ability to locate food in order to instead focus on finding a mate.
(Image caption: C. elegans male (top) and hermaphrodite (bottom))
The results, which appear today in the journal Current Biology, may point to how subtle changes in the brain’s circuitry dictate differences in behavior between males and females.
“While we know that human behavior is influenced by numerous factors, including cultural and social norms, these findings point to basic biological mechanisms that may not only help explain some differences in behavior between males and females, but why different sexes may be more susceptible to certain neurological disorders,” said Douglas Portman, Ph.D., an associate professor in the Department of Biomedical Genetics and Center for Neural Development and Disease at the University of Rochester and lead author of the study.
The findings were made in experiments involving C. elegans, a microscopic roundworm that has long been used by researchers to understand fundamental mechanisms in biology. Many of the discoveries made using C. elegans apply throughout the animal kingdom and this research has led to a broader understanding of human biology. In fact, three Nobel Prizes in medicine and chemistry have been awarded for discoveries involving C. elegans.
C. elegans is particularly useful in the study of the nervous system and scientists understand in great detail the development, function, and multiple connections of its entire neural network.
The study published today focuses on the activity of a single pair of neurons found in C. elegans – called AWA – that control smell. Smell, along with taste and touch, are critical sensory factors that dictate how C. elegans understands and navigates its environment, including finding food, avoiding danger, and locating a mate.
There are two sexes of C. elegans, males and hermaphrodites. Though the hermaphrodites are able to self-fertilize, they are also mating partners for males, and are considered to be modified females.
It has been previously observed that males and hermaphrodites act differently when exposed to food. If placed at a food source, the hermaphrodites tend to stay there. Males, however, will leave food source and “wander” – scientist believe they do this because they are in search of a mate.
The Rochester researchers discovered that the sensory mechanisms – called chemoreceptors – of the AWA neurons were regulated by the sexual identity of these cells, which, in turn, controls the expression of a receptor called ODR-10. These receptors bind to a chemical scent that is given off by food and other substances.
In hermaphrodites, more of the ODR-10 receptors are produced, making the worms more sensitive – and thereby attracted – to the presence of food. In males, fewer of these receptors are active, essentially suppressing their ability – and perhaps desire – to find food. However, when males were deprived of food, they produced dramatically higher levels of this receptor, allowing them to temporarily focus on finding food.
To confirm the role of these genetic differences between the sexes on behavior, the researchers designed a series of experiments in which they observed the activity of C. elegans when placed in a petri-dish and confronted with the option to either feed or go in search of a mate. The hermaphrodites were place in the center of the dish at a food source and, as expected, they stayed put.
The males were placed in their own individual food sources at the periphery of the dish. As a further obstacle between the males and their potential mates, an additional ring of food surrounded the hermaphrodites in the center of the dish. The males in the experiment consisted of two categories, one group with a normal genetic profile and another group that had been engineered by the researchers to overexpress the ODR-10 receptor, essentially making them more sensitive to the smell of food.
The researchers found that the normal worms left their food source and eventually made their way to the center of the dish where they mated with the hermaphrodites. The genetically engineered males were less successful at finding a mate, presumably because they were more interested in feeding. By examining the genetic profile of the resulting offspring, the scientists observed that the normal males out-produced the genetically engineered males by 10 to one.
In separate experiments, the researchers were also able to modify the behavior of the hermaphrodites by suppressing the ODR-10 receptors, causing them to act like males and abandon their food source.
“These findings show that by tuning the properties of a single cell, we can change behavior,” said Portman. “This adds to a growing body of evidence that sex-specific regulation of gene expression may play an important role in neural plasticity and, consequently, influence differences in behaviors – and in disease susceptibility – between the sexes.”
(Source: urmc.rochester.edu)
(Image caption: A thalamocortical, or TC neuron labeled with fluorescent dye, as used in Dr. Augustinaite’s study. The image shows a voltage recording device, at bottom left, entering the yellow cell body, and a stimulation device, at top, reaching the dendrites. Color in this image shows the depth in the slice.)
The brain is a complicated network of small units called neurons, all working to carry information from the outside world, create an internal model, and generate a response. Neurons sense a signal through branching dendrites, carry this signal to the cell body, and send it onwards through a long axon to signal the next neuron. However, neurons can function in many different ways; some of which researchers are still exploring. Some signals that the dendrites receive do not continue to the next neuron; instead they seem to change the way that the neuron handles the subsequent signals. This could help neurons function as part of a large network, but researchers still have many questions. Dr. Sigita Augustinaite, a researcher in the Optical Neuroimaging Unit at the Okinawa Institute of Science and Technology Graduate University, suggested one mechanism explaining how neurons help the network function. Her findings, part of collaboration between the University of Oslo and OIST, were published August 13, 2014 as the cover article in The Journal of Neuroscience.
Dr. Augustinaite studies the visual pathway, where signals from the retina are sent to the visual cortex, where the brain interprets signals from the eye. Between the eye and the visual cortex, the signals must pass through the visual thalamus, that is, through thalamocortical, or TC neurons. These neurons can switch between a “sleeping” state and a “waking” state depending on input they receive from neurons and other brain areas. When an animal is awake, TC neurons transmit the incoming retinal signals on to the cortex, but when the animal is asleep, the neurons block retinal signals.
The visual cortex also sends a massive input back to TC neurons to control retinal signals traveling through the thalamus. But Dr. Augustinaite says that the suggested mechanisms of this control bring more questions than answers. To understand more, she conducted experiments in acute brain slices, small pieces of brain tissue where neurons stay alive and maintain their physiological properties. She added glutamate to dendrites far from the cell body to emulate a feedback signal from the visual cortex. Then she measured the neuron’s response, shown as a voltage difference between inside and outside of the membrane.
Dr. Augustinaite found that stimulating the neurons in this way depolarizes their membranes, creating something called NMDA spike/plateau potentials. If strong enough, depolarization can cause a neuron to fire an action potential, which travels through the axon to activate other neurons. Action potentials look like a sharp, one-millisecond increase in membrane voltage, and they transmit signals from retina to cortex. But if NMDA spike/plateaus induces action potentials, signals from the cortex and signals from the retina would be indistinguishable. With her experiments, Dr. Augustinaite showed that the NMDA spike/plateau potentials in TC neurons do not trigger action potentials. Instead, they lift the voltage of the membrane, changing the neuron’s properties for few hundred milliseconds, creating conditions for reliable signal transmission from retina to cortex.
“The research gives, for the first time, a clear view on what dendritic potentials are good for,” explained Prof. Bernd Kuhn, who leads the lab where Dr. Augustinaite works. “It points directly to the mechanism,” he concluded. Showing how dendritic plateaus function is just one important step toward understanding how neurons function as a network. “This mechanism could also be used in many other neuronal circuits, where one input regulates how another input moves through the network,” Dr. Augustinaite said. “This mechanism is an exciting logical element in the neuronal network, but just the start of putting the puzzle together.”
Exploring How the Nervous System Develops
The circuitry of the central nervous system is immensely complex and, as a result, sometimes confounding. When scientists conduct research to unravel the inner workings at a cellular level, they are sometimes surprised by what they find.
Patrick Keeley, a postdoctoral scholar in Benjamin Reese’s laboratory at UC Santa Barbara’s Neuroscience Research Institute, had such an experience. He spent years analyzing different cell types in the retina, the light-sensitive layer of tissue lining the inner surface of the eye that mediates the first stages of visual processing. The results of his research are published today in the journal Developmental Cell.
Using a rodent model, Keeley and his colleagues quantified the number of cells present in each retina for 12 different retinal cell types across 30 genetically distinct lines of mice. For every cell type the team investigated, the researchers found a remarkable degree of variation in cell number across the strains. More surprising, the variation in the number of different cell types was largely independent of one another across the strains. This has substantial implications for retinal wiring during cellular development.
“These cells are connected to each other, and their convergence ratios are believed to underlie various aspects of visual processing,” Keeley explained, “so it was expected that the numbers of these cell types might be correlated. But that was not the case at all. We found very few significant correlations and even the ones we did find were modest.”
Using quantitative trait locus (QTL) analysis — a statistical method that links two types of information, in this case cell number and genetic markers — Keeley’s team compared not only the covariance between different types of cells but also the genetic co-regulation of their number. When they mapped the variation in cell number to locations within the genome, the locations were rarely the same for different types of cells. The result was entirely unexpected.
“Current views of retinal development propose that molecular switches control the alternate fates a newborn neuron should adopt, leading one to expect negative correlations between certain cell types,” said Reese, who is also a professor in UCSB’s Department of Psychological and Brain Sciences. “Still others have proposed that synaptically connected nerve cells ‘match’ their pre- and post-synaptic numbers through a process of naturally occurring cell death, leading one to expect positive correlations between connected cell types. Neither expectation was borne out.”
“If the cell types are not correlated, then some mice will have retinas with a lot of one cell type — say, photoreceptors — but not a lot of another cell type to connect to, in this case bipolar cells, or vice versa,” Keeley added. “So how does the developing retina accommodate this variation?”
The authors posit that since the ratios of pre- to post-synaptic cell number are not precisely controlled, the rules for connecting them should offer a degree of plasticity as they wire their connections during development.
Take bipolar cells as an example. To test this assumption, the scientists looked at the morphology of their dendrites, the threadlike extensions of a neuron that gather synaptic input. Keeley and coworkers examined their size, their branching pattern and the number of contacts they formed as a function of the number of surrounding bipolar cells and the number of photoreceptors across these different strains.
“We found that the extent of dendritic growth was proportional to the local density of bipolar cells,” Keeley explained. “If there are more, they grow smaller dendrites. If there are fewer, they grow larger dendrites.
“Photoreceptor number, on the other hand, had no effect upon the size of the dendritic field of the bipolar cells but determined the frequency of branching made by those very dendrites,” he added. “This plasticity in neural circuit assembly ensures that the nervous system modulates its connectivity to accommodate the independent variation in cell number.”
This research gives scientists an idea of how individual cell types are generated, how they differentiate and how they form appropriate connections with one another. Researchers in the Reese lab are trying to understand the genes that control these processes.
“I think that’s important when we discuss cellular therapeutics such as transplanting stem cells to replace cells that are lost,” Keeley said. “We’re going to need this sort of fundamental knowledge about neural development to promote the differentiation and integration of transplanted stem cells. This focus on genetic and cellular mechanisms is going to be important for developing new therapies to treat developmental disorders affecting the eye.”
Releasing the brakes for learning
Learning can only occur if certain neuronal “brakes” are released. As the group led by Andreas Lüthi at the Friedrich Miescher Institute for Biomedical Research has now discovered, learning processes in the brain are dynamically regulated by various types of interneurons. The new connections essential for learning can only be established if inhibitory inputs from interneurons are reduced at the right moment. These findings have now been published in Nature.
Image caption: Example of a dendrite of a principal neuron (white) and synaptic contacts (yellow arrowheads) from SOM1 interneurons.
For some years, most neurobiologists studying learning processes have assumed that the new connections required for learning can only be established and ultimately reinforced if certain neuronal “brakes” are released – a process known as disinhibition. It has also been supposed for some time that various types of interneurons could be involved in disinhibition. Interneurons are nerve cells that surround and – via their connections – inhibit the activity of principal neurons. It has not been clear, however, whether these cell types actually play a role in disinhibition and how they control learning.
Andreas Lüthi and his group at the Friedrich Miescher Institute for Biomedical Research have now demonstrated for the first time how a learning process is dynamically regulated by specific types of interneurons.
In Lüthi’s experiments, mice were trained to associate a sound with an unpleasant stimulus, so that the animals subsequently knew what would happen when they heard the auditory cue. The researchers showed that, during the learning process, the sound stimulus released a brake in some of the principal neurons. More precisely, it induced the activation of parvalbumin-positive (PV+) interneurons, leading indirectly – via somatostatin-positive (SOM+) interneurons – to disinhibition of the principal neurons. The latter thus became receptive to further sensory inputs. If this was immediately followed by the unpleasant stimulus, then another brake was released. Once again, PV+ interneurons were involved, but this time the principal neurons were directly disinhibited. Steffen Wolff, a postdoc in Lüthi’s group and first author of the publication, explains: “The principal neurons temporarily reached a level of activation enabling neuronal connections to be reinforced in such a way that the animal could learn the association between the sound and the unpleasant stimulus.”
Lüthi comments: “This is the first time we’ve been able to identify so clearly the function of defined interneurons in a learning process, and to show how successive disinhibition can enable this process. We assume that interneurons disinhibit the principal neurons in a highly dynamic manner. They integrate, as it were, the state of numerous different neural networks, activated for example by sensory input, earlier experiences or emotional states, and thus permit or prevent learning. I think these findings are also of interest in the context of conditions where learning processes are impaired or dysfunctional, as in the case of anxiety disorders.”
(Source: fmi.ch)
Overlooked cells hold keys to brain organization and disease
Scientists studying brain diseases may need to look beyond nerve cells and start paying attention to the star-shaped cells known as “astrocytes,” because they play specialized roles in the development and maintenance of nerve circuits and may contribute to a wide range of disorders, according to a new study by UC San Francisco researchers.
In a study published online April 28, 2014 in Nature, the researchers report that malfunctioning astrocytes might contribute to neurodegenerative disorders such as Lou Gehrig’s disease (ALS), and perhaps even to developmental disorders such as autism and schizophrenia.
David Rowitch, MD, PhD, UCSF professor of pediatrics and neurosurgery and a Howard Hughes Medical Institute investigator, led the research.
The researchers discovered in mice that a particular form of astrocyte within the spinal cord secretes a protein needed for survival of the nerve circuitry that controls reflexive movements. This discovery is the first demonstration that different types of astrocytes exist to support development and survival of distinct nerve circuits at specific locations within the central nervous system.
Astrocytes vastly outnumber signal-conducting neurons, and make up the majority of cells in the brain. But where neuroscientists are accustomed to seeing only vanilla when it comes to astrocytes – viewing all of them as similar despite their different locations in brain and spinal cord — they now will have to imagine “31 flavors” or more.
There might even be hundreds of distinctive varieties of astrocytes performing specific functions in different locations, according to Rowitch, chief of neonatology for UCSF Benioff Children’s Hospital San Francisco.
"Our study shows roles for specialized astrocytes that function to support particular kinds of neurons in their neighborhood," Rowitch said.
Led by Rowitch lab postdoctoral fellow Anna Molofsky, MD, PhD, the researchers studied the spinal cord sensory motor circuit, which allows both mice and humans to react without thought – to jerk a limb away from something hot, for instance.
The team discovered that a protein called Sema3a is produced much more abundantly by astrocytes close to motor neurons than by astrocytes from other regions in the spinal cord. They concluded that motor neurons required this source of Sema3a from the local astrocytes, because when Sema3a production was blocked, the motor neurons failed to form normal connections, and half of them died.
Motor neurons also die in ALS, a fatal neurodegenerative disease, and in spinal muscular atrophy, a disease that can affect newborn infants. In other studies, scientists have found that abnormal astrocytes can have toxic effects on motor neurons.
Molofsky is a psychiatrist who studies how astrocytes organize nerve circuits, and how disruptions of these nerve circuits during development or disease may involve abnormal astrocyte function. Disrupted neural circuits are believed to be responsible for certain psychiatric disorders.
"The immediate implications of this study are for diseases of motor neurons, like ALS, but I think our findings might also apply more generally to diseases of neural-circuit formation in the brain such as autism, schizophrenia and epilepsy," Molofsky said. "To achieve a comprehensive understanding of how neural circuits form and are maintained, it seems important that we integrate knowledge of how astrocytes support that process."
Rowitch agrees. “To the extent that psychiatric or neurological disease is localized to a specific part of the brain, we should now be considering the potentially specialized type of astrocytes regulating nerve connections in that region and their contributions to disease,” he said.
(Image: Astrocytes surround neuronal sysnapses and form networks physically coupled by gap-junctions. Credit: Dr. Takahiro Takano)
(Image caption: Newly discovered neuron type (yellow) helps zebrafish to coordinate its eye and swimming movements. The image shows the blue-stained brain of a fish larva with the suggested position of the eyes. Credit: © Max Planck Institute of Neurobiology/Kubo)
How vision makes sure that little fish do not get carried away
Our eyes not only enable us to recognise objects; they also provide us with a continuous stream of information about our own movements. Whether we run, turn around, fall or sit still in a car – the world glides by us and leaves a characteristic motion trace on our retinas. Seemingly without effort, our brain calculates self-motion from this “optic flow”. This way, we can maintain a stable position and a steady gaze during our own movements. Together with biologists from the University of Freiburg, scientists from the Max Planck Institute of Neurobiology in Martinsried near Munich have now discovered an array of new types of neurons, which help the brain of zebrafish to perceive, and compensate for, self-motion.
Transplanting interneurons: Getting the right mix
Despite early optimistic studies, the promise of curing neurological conditions using transplants remains unfulfilled. While researchers have exhaustively cataloged different types of cells in the brain, and also the largely biochemical issues underlying common diseases, neural repair shops are still a ways off. Fortunately, significant progress is being made towards identifying the broader operant principles that might bear on any one disease work-around. A review just published in Science focuses on recent work on transplanting interneurons—a diverse family of cells united by their mutual love of inhibition and their local loyalty. The UCLA-based authors, reach the conclusion that the fate of transplanted neurons ultimately depends less on the influences of the new host environment, and more on the early upbringing of the cells within the donor embryo.
To learn new motor skills, the brain must be plastic: able to rapidly change the strengths of connections between neurons, forming new patterns that accomplish a particular task. However, if the brain were too plastic, previously learned skills would be lost too easily.
A new computational model developed by MIT neuroscientists explains how the brain maintains the balance between plasticity and stability, and how it can learn very similar tasks without interference between them.
The key, the researchers say, is that neurons are constantly changing their connections with other neurons. However, not all of the changes are functionally relevant — they simply allow the brain to explore many possible ways to execute a certain skill, such as a new tennis stroke.
“Your brain is always trying to find the configurations that balance everything so you can do two tasks, or three tasks, or however many you’re learning,” says Robert Ajemian, a research scientist in MIT’s McGovern Institute for Brain Research and lead author of a paper describing the findings in the Proceeding of the National Academy of Sciences the week of Dec. 9. “There are many ways to solve a task, and you’re exploring all the different ways.”
As the brain explores different solutions, neurons can become specialized for specific tasks, according to this theory.
Noisy circuits
As the brain learns a new motor skill, neurons form circuits that can produce the desired output — a command that will activate the body’s muscles to perform a task such as swinging a tennis racket. Perfection is usually not achieved on the first try, so feedback from each effort helps the brain to find better solutions.
This works well for learning one skill, but complications arise when the brain is trying to learn many different skills at once. Because the same distributed network controls related motor tasks, new modifications to existing patterns can interfere with previously learned skills.
“This is particularly tricky when you’re learning very similar things,” such as two different tennis strokes, says Institute Professor Emilio Bizzi, the paper’s senior author and a member of the McGovern Institute.
In a serial network such as a computer chip, this would be no problem — instructions for each task would be stored in a different location on the chip. However, the brain is not organized like a computer chip. Instead, it is massively parallel and highly connected — each neuron connects to, on average, about 10,000 other neurons.
That connectivity offers an advantage, however, because it allows the brain to test out so many possible solutions to achieve combinations of tasks. The constant changes in these connections, which the researchers call hyperplasticity, is balanced by another inherent trait of neurons — they have a very low signal to noise ratio, meaning that they receive about as much useless information as useful input from their neighbors.
Most models of neural activity don’t include noise, but the MIT team says noise is a critical element of the brain’s learning ability. “Most people don’t want to deal with noise because it’s a nuisance,” Ajemian says. “We set out to try to determine if noise can be used in a beneficial way, and we found that it allows the brain to explore many solutions, but it can only be utilized if the network is hyperplastic.”
This model helps to explain how the brain can learn new things without unlearning previously acquired skills, says Ferdinando Mussa-Ivaldi, a professor of physiology at Northwestern University.
“What the paper shows is that, counterintuitively, if you have neural networks and they have a high level of random noise, that actually helps instead of hindering the stability problem,” says Mussa-Ivaldi, who was not part of the research team.
Without noise, the brain’s hyperplasticity would overwrite existing memories too easily. Conversely, low plasticity would not allow any new skills to be learned, because the tiny changes in connectivity would be drowned out by all of the inherent noise.
The model is supported by anatomical evidence showing that neurons exhibit a great deal of plasticity even when learning is not taking place, as measured by the growth and formation of connections of dendrites — the tiny extensions that neurons use to communicate with each other.
Like riding a bike
The constantly changing connections explain why skills can be forgotten unless they are practiced often, especially if they overlap with other routinely performed tasks.
“That’s why an expert tennis player has to warm up for an hour before a match,” Ajemian says. The warm-up is not for their muscles, instead, the players need to recalibrate the neural networks that control different tennis strokes that are stored in the brain’s motor cortex.
However, skills such as riding a bicycle, which is not very similar to other common skills, are retained more easily. “Once you’ve learned something, if it doesn’t overlap or intersect with other skills, you will forget it but so slowly that it’s essentially permanent,” Ajemian says.
The researchers are now investigating whether this type of model could also explain how the brain forms memories of events, as well as motor skills.
Researchers identify molecule that orients neurons for high definition sensing
Many animals have highly developed senses, such as vision in carnivores, touch in mice, and hearing in bats. New research from the RIKEN Brain Science Institute has uncovered a brain molecule that can explain the existence of such finely-tuned sensory capabilities, revealing how brain cells responsible for specific senses are positioned to receive incoming sensory information.
The study, led by Dr. Tomomi Shimogori and published in the journal Science, sought to uncover the molecule that enables high acuity sensing by examining brain regions that receive information from the senses. They found that areas responsible for touch in mice and vision in ferrets contain a protein called BTBD3 that optimizes neuronal shape to receive sensory input more efficiently.
Neurons have a highly specialized shape, sending signals through one long projection called an axon, while receiving signals from many branch-like projections called dendrites. The final shape and connections to other neurons are typically completed after birth. Some neurons have dendrites distributed equally all around the cell body, like a starfish, while in others they extend only from one side, like a squid, steering towards axons that are actively bringing in information from the peripheral nerves. It was previously unknown what enables neurons to have highly oriented dendrites.
“We were fascinated by the dendrite patterning changes that occurred during the early postnatal stage that is controlled by neuronal input,” says Dr. Shimogori. “We found a fundamental process that is important to remove unnecessary dendrites to prevent mis-wiring and to make efficient neuronal circuits.”
The researchers searched for genes that are active exclusively in the mouse somatosensory cortex, the brain region responsible for their sense of touch, and found that the gene coding for the protein BTBD3 was active in the neurons of the barrel cortex, which receives input from their whiskers, the highly sensitive tactile sensors in mice, and that these neurons had unidirectional dendrites.
Using gene manipulations in embryonic mouse brain the authors found that eliminating BTBD3 made dendrites uniformly distribute around neurons in the mouse barrel cortex. In contrast, artificially introducing BTBD3 in the visual cortex of mice where BTBD3 is not normally found, reoriented the normally symmetrically positioned dendrites to one side. The same mechanism shaped neurons in the visual cortex of ferrets, which unlike the mouse contains BTBD3.
“High acuity sensory function may have been enabled by the evolution of BTBD3 and related proteins in brain development,” adds Dr. Shimogori. “Finding BTBD3 selectively in the visual and auditory cortex of the common marmoset, a species that relies heavily on high acuity vocal and visual communication for survival, and in mouse, where it is expressed in high-acuity tactile and olfactory areas, but not in low acuity visual cortex, supports this idea.” The authors plan to examine their theory by testing sensory function in mice without BTBD3 gene expression.
(Source: riken.jp)