(Image caption: This image shows a PC12 cell growing onto a randomly textures surface. Note how the cell is spreading out in all directions.)

Surface Characteristics Influence Cellular Growth on Semiconductor Material

Changing the texture and surface characteristics of a semiconductor material at the nanoscale can influence the way that neural cells grow on the material.

The finding stems from a study performed by researchers at North Carolina State University, the University of North Carolina at Chapel Hill and Purdue University, and may have utility for developing future neural implants.

“We wanted to know how a material’s texture and structure can influence cell adhesion and differentiation,” says Lauren Bain, lead author of a paper describing the work and a Ph.D. student in the joint biomedical engineering program at NC State and UNC-Chapel Hill. “Basically, we wanted to know if changing the physical characteristics on the surface of a semiconductor could make it easier for an implant to be integrated into neural tissue – or soft tissue generally.”

The researchers worked with gallium nitride (GaN), because it is one of the most promising semiconductor materials for use in biomedical applications. They also worked with PC12 cells, which are model cells used to mimic the behavior of neurons in lab experiments.

In the study, the researchers grew PC12 cells on GaN squares with four different surface characteristics: some squares were smooth; some had parallel grooves (resembling an irregular corduroy pattern); some were randomly textured (resembling a nanoscale mountain range); and some were covered with nanowires (resembling a nanoscale bed of nails).

Very few PC12 cells adhered to the smooth surface. And those that did adhere grew normally, forming long, narrow extensions. More PC12 cells adhered to the squares with parallel grooves, and these cells also grew normally.

About the same number of PC12 cells adhered to the randomly textured squares as adhered to the parallel grooves. However, these cells did not grow normally. Instead of forming narrow extensions, the cells flattened and spread across the GaN surface in all directions.

More PC12 cells adhered to the nanowire squares than to any of the other surfaces, but only 50 percent of the cells grew normally. The other 50 percent spread in all directions, like the cells on the randomly textured surfaces.

“This tells us that the actual shape of the surface characteristics influences the behavior of the cells,” Bain says. “It’s a non-chemical way of influencing the interaction between the material and the body. That’s something we can explore as we continue working to develop new biomedical technologies.”

Researchers Use Computers to “See” Neurons to Better Understand Brain Function

A study conducted by local high school students and faculty from the Department of Computer and Information Science in the School of Science at Indiana University-Purdue University Indianapolis reveals new information about the motor circuits of the brain that may one day help those developing therapies to treat conditions such as stroke, schizophrenia, spinal cord injury or Alzheimer’s disease.

"MRI and CAT scans of the human brain can tell us many things about the structure of this most complicated of organs, formed of trillions of neurons and the synapses via which they communicate. But we are a long way away from having imaging techniques that can show single neurons in a complex brain like the human brain," said Gavriil Tsechpenakis, Ph.D., assistant professor of computer science in the School of Science at IUPUI.

"But using the tools of artificial intelligence, specifically computer vision and image processing, we are able to visualize and process actual neurons of model organisms. Our work in the brain of a model organism—the fruit fly—will help us and other researchers move forward to more complex organisms with the ultimate goal of reconstructing the human central nervous system to gain insight into what goes wrong at the cellular level when devastating disorders of the brain and spinal cord occur. This understanding may ultimately inform the treatment of these conditions," said Tsechpenakis.

In this study, which processed images and reconstructed neuronal motor circuitry in the brain, the researchers, who included two Indianapolis high school students—Rachel Stephens and Tiange (Tony) Qu—collected and analyzed data on minute structures over various developmental stages, efforts linking neuroscience and computer science.

"Both high school students who worked on this study performed neuroscience and computation efforts similar to that conducted elsewhere by graduate students. It was impressive to see what sophisticated and key work they could—with mentoring—do," said Tsechpenakis.

Qu said the work was initially rather scary and intimidating but that he rapidly grew to appreciate the opportunity to work in the School of Science lab. “Unlike high school, we were not told how to get from point A to point B. Dr. Tsechpenakis explained what point A and B were and taught us how to figure out how to get from A to B.” 

Qu, a 17-year-old senior at Ben Davis High School, now sees neuroscience as a potential college major with biomedical research as an eventual career goal. He continues to work in the lab after school focusing on change over time in fruit fly larvae motor neurons.

Stephens, a senior at North Central High School, said she enjoyed the collaborative nature of the research, with computer scientists and life scientists working together on a problem.

"Dr. Tsechpenakis made it clear to us that different perspectives are necessary, and the ability to think about a problem is more valuable than the education and training you’ve had,” she said. “Before I joined the lab I hadn’t really thought about how computer science could help heal." The 17-year-old plans a pre-med major in college and a career as a physician.

Plumes in the sleeping avian brain

When we drift into deep slow-wave sleep (SWS), waves of neuronal activity wash across our neocortex. Birds also engage in SWS, but they lack this particular brain structure. Researchers from the Max Planck Institute for Ornithology in Seewiesen, Germany together with colleagues from the Netherlands and Australia have gained deeper insight into the sleeping avian brain. They found complex 3D plumes of brain activity propagating through the brain that clearly differed from the two-dimensional activity found in mammals. These findings show that the layered neuronal organization of the neocortex is not required for waves to propagate, and raise the intriguing possibility that the 3D plumes of activity perform computations not found in mammals.

Mammals, including humans, depend upon the processing power of the neocortex to solve complex cognitive tasks. This part of the brain also plays an important role in sleep. During SWS, slow neuronal oscillations propagate across the neocortex as a traveling wave, much like sports fans performing the wave in a stadium. It is thought that this wave might be involved in coordinating the processing of information in distant brain regions. Birds have mammalian-like cognitive abilities, but yet different neuronal organization. They lack the elegant layered arrangement of neurons characteristic of the neocortex. Instead, homologous neurons are packaged in unlayered, seemingly poorly structured nuclear masses of neurons.

Researchers from the Max Planck Institute for Ornithology in Seewiesen together with colleagues from the Netherlands and Australia now investigated in female zebra finches how brain activity changed over space and time during sleep. “When we first looked at the recordings, it appeared that the slow waves were occurring simultaneously in all recording sites. However, when we visualized the data as a movie and slowed it down, a fascinating picture emerged!” says Gabriël Beckers from Utrecht University, who developed the high-resolution recording method at the Max Planck Institute for Ornithology in Seewiesen. The waves were moving across the two-dimensional recording array as rapidly changing arcs of activity. Rotating the orientation of the array by 90 degrees revealed similar patterns, and thereby established the 3D nature of the plumes propagating through the brain. The researchers found similar patterns in distant brain regions involved in processing different types of information, suggesting that this type of activity is a general feature of the sleeping avian brain.

In addition to revealing how neurons in the avian brain behave during sleep, this research also adds to our understanding of the sleeping neocortex. “Our findings demonstrate that the traveling nature of slow waves is not dependent upon the layered organization of neurons found in the neocortex, and is unlikely to be involved in functions unique to this pattern of neuronal organization,” says Niels Rattenborg, head of the Avian Sleep Group in Seewiesen. “In this respect, research on birds refines our understanding of what is and is not special about the neocortex.” Finally, the researchers wonder whether the 3D geometry of wave propagation in the avian brain reflects computational properties not found in the neocortex. While this idea is clearly speculative, the authors note that during the course of evolution, birds replaced the three-layered cortex present in their reptilian ancestors with nuclear brain structures. “Presumably, there are benefits to the seemingly disorganized, nuclear arrangement of neurons in the avian brain that we are far from understanding. Whether this relates to what we have observed in the sleeping bird brain is a wide open question,” says Rattenborg.

Research reveals first glimpse of a brain circuit that helps experience to shape perception

Odors have a way of connecting us with moments buried deep in our past. Maybe it is a whiff of your grandmother’s perfume that transports you back decades. With that single breath, you are suddenly in her living room, listening as the adults banter about politics. The experiences that we accumulate throughout life build expectations that are associated with different scents. These expectations are known to influence how the brain uses and stores sensory information. But researchers have long wondered how the process works in reverse: how do our memories shape the way sensory information is collected?

In work published today in Nature Neuroscience, scientists from Cold Spring Harbor Laboratory (CSHL) demonstrate for the first time a way to observe this process in awake animals. The team, led by Assistant Professor Stephen Shea, was able to measure the activity of a group of inhibitory neurons that links the odor-sensing area of the brain with brain areas responsible for thought and cognition. This connection provides feedback so that memories and experiences can alter the way smells are interpreted. 

The inhibitory neurons that forget the link are known as granule cells. They are found in the core of the olfactory bulb, the area of the mouse brain responsible for receiving odor information from the nose. Granule cells in the olfactory bulb receive inputs from areas deep within the brain involved in memory formation and cognition. Despite their importance, it has been almost impossible to collect information about how granule cells function. They are extremely small and, in the past, scientists have only been able to measure their activity in anesthetized animals. But the animal must be awake and conscious in order to for experiences to alter sensory interpretation. Shea worked with lead authors on the study, Brittany Cazakoff, graduate student in CSHL’s Watson School of Biological Sciences, and Billy Lau, Ph.D., a postdoctoral fellow. They engineered a system to observe granule cells for the first time in awake animals. 

Granule cells relay the information they receive from neurons involved in memory and cognition back to the olfactory bulb. There, the granule cells inhibit the neurons that receive sensory inputs. In this way, “the granule cells provide a way for the brain to ‘talk’ to the sensory information as it comes in,” explains Shea. “You can think of these cells as conduits which allow experiences to shape incoming data.”

Why might an animal want to inhibit or block out specific parts of a stimulus, like an odor? Every scent is made up of hundreds of different chemicals, and “granule cells might help animals to emphasize the important components of complex mixtures,” says Shea. For example, an animal might have learned through experience to associate a particular scent, such as a predator’s urine, with danger. But each encounter with the smell is likely to be different. Maybe it is mixed with the smell of pine on one occasion and seawater on another. Granule cells provide the brain with an opportunity to filter away the less important odors and to focus sensory neurons only on the salient part of the stimulus. 

Now that it is possible to measure the activity of granule cells in awake animals, Shea and his team are eager to look at how sensory information changes when the expectations and memories associated with an odor change. “The interplay between a stimulus and our expectations is truly the merger of ourselves with the world. It exciting to see just how the brain mediates that interaction,” says Shea.

Researchers reveal the dual role of brain glycogen

In 2007, in an article published in Nature Neuroscience, scientists at the Institute for Research in Biomedicine (IRB Barcelona) headed by Joan Guinovart, an authority on glycogen metabolism, suggested that in Lafora Disease (LD), a rare and fatal neurodegenerative condition that affects adolescents, neurons die as a result of the accumulation of glycogen—chains of glucose. They went on to propose that this accumulation is the root cause of this disease.

The breakthrough of this paper was two-sided: first, the researchers established a possible cause of LD and therefore were able to point to a plausible therapeutic target, and second, they discovered that neurons have the capacity to store glycogen—an observation that had never been made—and that this accumulation was toxic.

Other reports defended a different theory and upheld that the glycogen deposits were not cause by the neurodegeneration but were a consequence of another, more important, cell imbalance, such as a down deregulation of autophagy—the cell recycling and cleaning programme. In several articles, Guinovart’s “Metabolic engineering and diabetes therapy” group has recently brought to light evidence of the toxicity of glycogen deposits for LD patients, and has now provided irrefutable data.

In an article published at the beginning of February in Human Molecular Genetics, with the research associate Jordi Duran as first author, the scientists show that in LD the accumulation of glycogen directly causes neuronal death and triggers cell imbalances such a decrease in autophagy and synaptic failure. All these alterations lead to the symptoms of LD, such as epilepsy.

Glycogen, a Trojan horse for neurons?

There was still a greater mystery to be solved. Was glycogen synthase truly a Trojan horse for neurons, as apparently established in the article in Nature Neuroscience? That is to say, was the accumulation of glycogen always fatal for cells, thus explaining why their glycogen synthesis machinery is silenced? The inevitable question was then why these cells had such machinery.

In another paper published in Journal of Cerebral Blood Flow & Metabolism, part of the Nature Group, the researchers provided the first evidence that neurons constantly store glycogen but in a different way: accumulating small amounts and using it as quickly as it becomes available. In this regard, the scientists set up new, more sensitive, analytical techniques to confirm that the machinery responsible for glycogen synthesis and degradation existed. In summary, they showed that, in small amounts, glycogen is beneficial for neurons.

“For example, while the liver accumulates glycogen in large amounts and releases it slowly to maintain blood sugar levels, above all when we sleep, neurons synthesize and degrade small amounts of this polysaccharide continuously. They do not use it as an energy store but as a rapid and small, but constant, source of energy,” explains Guinovart, also senior professor at the University of Barcelona (UB).

To observe the action of glycogen, the scientists forced cultured mouse neurons to survive under oxygen depletion. They demonstrated that the first cells to die were those in which the capacity to synthesise glycogen had been removed. The same experiments were performed in collaboration with Marco Milán’s “Development and growth control” group in the in vivo model of the fruit fly Drosophila melanogaster. These tests led to the same conclusions.

The researchers postulated that glycogen is a lifeguard under oxygen depletion, a condition that leads the brains to shut down and that often occurs at birth and in cerebral infarctions in adults, which leads to severe consequences, such a cerebral paralysis.

“It is the first function of glycogen that we have discovered in neurons, but we still have to identify its function in normal conditions and establish how the mechanism works,” says Jordi Duran. Postdoctoral researcher Isabel Saez is the first author of the article out today, which involved the collaboration of ICREA Research Professor Marco Milán’s lab.

The beneficial and toxic roles of brain glycogen are currently the focus of main research lines conducted by Joan Guinovart’s lab.

Study first to offer detailed map of mouse’s cerebral cortex

The mammalian cerebral cortex, long thought to be a dense single interrelated tangle of neural networks, actually has a “logical” underlying organizational principle, according to a study appearing in the journal Cell.

Researchers have identified eight distinct neural subnetworks that together form the connectivity infrastructure of the mammalian cortex — the part of the brain involved in higher-order functions such as cognition, emotion and consciousness.

“This study is the first comprehensive mapping of the most developed region of the mammalian brain: the cerebral cortex. The cortex is highly complex and made up of many densely interconnected structures, but when you strip it down, is organized into a small number of subnetworks,” said senior author Hongwei Dong of the USC Institute for Neuroimaging and Informatics (INI).

The cerebral cortex is the outermost layer of neural tissue in the brain and is one of the most extensively studied brain structures in the field of neuroscience. However, before this study, its underlying organizational principle was still largely unclear.

“Think about it: The brain is built for logic, so it’s organization must be logical. The brain’s architectural organization is arranged such that all of its substructures most efficiently work in conjunction to produce appropriate behaviors,” said Dong, associate professor of neurology at the Keck School of Medicine of USC. “We want to find the code to how the brain is structurally organized.”

The study is also a reminder that while there is more data than ever, the quality and reliability of information still matters. In contrast to past patchwork attempts, Dong and his team undertook an effort to directly develop a whole-brain mouse atlas of brain pathways. Across the cortex, they injected fluorescent molecules. These molecules were then transported along the brain’s “cellular highways” — the neuronal pathways — and meticulously tracked using a high-resolution microscope.

The uniformity and completeness of the scientists’ effort across the entire cortex provided for a searchable image database of cortical connections, which the researchers are making open-access and publicly available.

It also allowed them to reliably see patterns: the seemingly inscrutable mass of connections in the cerebral cortex is highly organized, consisting of eight distinct subnetworks that are relatively segregated.

“The systematic and comprehensive manner in which the data were collected lent itself to a detailed analysis through which these subnetworks emerged,” explained co-lead author Houri Hintiryan of the USC Laboratory of Neuro Imaging.

So that scientists around the world may continue to look for fundamental structural insights, the full, interactive imaging dataset is viewable at Mouse Connectome Project, providing a resource for researchers interested in studying the anatomy and function of cortical networks throughout the brain.

“It really is quite tedious,” Dong said of collecting the data, “and labor-intensive, and it requires highly specialized skills and technology. But think of the Human Genome Project and how much it accelerated the process of discovery and the whole field when infrastructures existed for people to share and compare. That was our motivation.”

How these subnetworks interact will provide a crucial baseline from which to better understand diseases of “disconnection” such as autism and Alzheimer’s disease, in which the manifestations of symptoms are potentially a result of disordered or damaged connections.

The researchers’ map of the mouse cerebral cortex can be compared to data on disease-affected brains, brains in development and genetic information. It will also offer necessary context for humans, who behaved just like other mammals only a few thousand years ago and who still share most underlying basic behavioral characteristics such as hunger and pain.

“The fundamental logic of mammalian brains is the same, particularly when it comes to basic behaviors such as eating, sleeping and social behaviors” said Dong, who noted that similar studies in humans have thus far not gotten to the cellular level. “There are lots of organizing principles to brain structures that we are just beginning to understand.”

The researchers identified the brain subnetworks based on their high degree of interconnectivity — though relatively independent, several structures provide communication routes through which the subnetworks interact. Combined with behavioral data from past research and information about subcortical targets, these interconnections imply remarkable functional significance for the subnetworks.

Four of the eight identified subnetworks in the mouse cortex relate to sensation and movement of the body — what the researchers dub somatic sensorimotor. In particular, the researchers identified separate subnetworks for movements in the face, upper limbs, lower limbs and trunk, and whiskers. Together, these networks facilitate motor behaviors such as eating and drinking, reaching and grabbing, locomotion and exploration of the environment.

Two other subnetworks are comprised of structures located along the midline of the cerebral cortex. These medial subnetworks seem devoted to the integration of visual, auditory and somatic sensory information, according to the study. Several other structures located along the side of the brain form two lateral subnetworks, one of which potentially serves to regulate the internal status of the body (i.e., taste, hunger, visceral information) and the other as a “mega-integration” subnetwork that allows the interaction of information from nearly the entire cortex.

Researchers generate new neurons in brains, spinal cords of living adult mammals

UT Southwestern Medical Center researchers created new nerve cells in the brains and spinal cords of living mammals without the need for stem cell transplants to replenish lost cells.

Although the research indicates it may someday be possible to regenerate neurons from the body’s own cells to repair traumatic brain injury or spinal cord damage or to treat conditions such as Alzheimer’s disease, the researchers stressed that it is too soon to know whether the neurons created in these initial studies resulted in any functional improvements, a goal for future research.

Spinal cord injuries can lead to an irreversible loss of neurons, and along with scarring, can ultimately lead to impaired motor and sensory functions. Scientists are hopeful that regenerating cells can be an avenue to repair damage, but adult spinal cords have limited ability to produce new neurons. Biomedical scientists have transplanted stem cells to replace neurons, but have faced other hurdles, underscoring the need for new methods of replenishing lost cells.

Scientists in UT Southwestern’s Department of Molecular Biology first successfully turned astrocytes – the most common non-neuronal brain cells – into neurons that formed networks in mice. They now successfully turned scar-forming astrocytes in the spinal cords of adult mice into neurons. The latest findings are published today in Nature Communications and follow previous findings published in Nature Cell Biology.

“Our earlier work was the first to clearly show in vivo (in a living animal) that mature astrocytes can be reprogrammed to become functional neurons without the need of cell transplantation. The current study did something similar in the spine, turning scar-forming astrocytes into progenitor cells called neuroblasts that regenerated into neurons,” said Dr. Chun-Li Zhang, assistant professor of molecular biology at UT Southwestern and senior author of both studies.

“Astrocytes are abundant and widely distributed both in the brain and in the spinal cord. In response to injury, these cells proliferate and contribute to scar formation. Once a scar has formed, it seals the injured area and creates a mechanical and biochemical barrier to neural regeneration,” Dr. Zhang explained. “Our results indicate that the astrocytes may be ideal targets for in vivo reprogramming.”

The scientists’ two-step approach first introduces a biological substance that regulates the expression of genes, called a transcription factor, into areas of the brain or spinal cord where that factor is not highly expressed in adult mice. Of 12 transcription factors tested, only SOX2 switched fully differentiated, adult astrocytes to an earlier neuronal precursor, or neuroblast, stage of development, Dr. Zhang said.

In the second step, the researchers gave the mice a drug called valproic acid (VPA) that encouraged the survival of the neuroblasts and their maturation (differentiation) into neurons. VPA has been used to treat epilepsy for more than half a century and also is prescribed to treat bipolar disorder and to prevent migraine headaches, he said.

The current study reports neurogenesis (neuron creation) occurred in the spinal cords of both adult and aged (over one-year old) mice of both sexes, although the response was much weaker in the aged mice, Dr. Zhang said. Researchers now are searching for ways to boost the number and speed of neuron creation. Neuroblasts took four weeks to form and eight weeks to mature into neurons, slower than neurogenesis reported in lab dish experiments, so researchers plan to conduct experiments to determine if the slower pace helps the newly generated neurons properly integrate into their environment.

In the spinal cord study, SOX2-induced mature neurons created from reprogramming of astrocytes persisted for 210 days after the start of the experiment, the longest time the researchers examined, he added.

Because tumor growth is a concern when cells are reprogrammed to an earlier stage of development, the researchers followed the mice in the Nature Cell Biology study for nearly a year to look for signs of tumor formation and reported finding none.

(Image: Shutterstock)