Posts tagged neuroscience
Researchers have developed a system that allows the soft robots to either camouflage themselves against a background, or to make bold color displays. Such a “dynamic coloration” system could one day have a host of uses, ranging from helping doctors plan complex surgeries to acting as a visual marker to help search crews following a disaster, said Stephen Morin, a Post-Doctoral Fellow in Chemistry and Chemical Biology and first author of the paper.
"When we began working on soft robots, we were inspired by soft organisms, including octopi and squid," Morin said. "One of the fascinating characteristics of these animals is their ability to control their appearance, and that inspired us to take this idea further and explore dynamic coloration. I think the important thing we’ve shown in this paper is that even when using simple systems – in this case we have simple, open-ended micro-channels – you can achieve a great deal in terms of your ability to camouflage an object, or to display where an object is."
"One of the most interesting questions in science is ‘Why do animals have the shape, and color, and capabilities that they do?’" said Whitesides. "Evolution might lead to a particular form, but why? One function of our work on robotics is to give us, and others interested in this kind of question, systems that we can use to test ideas. Here the question might be: ‘How does a small crawling organism most efficiently disguise (or advertise) itself in leaves?’ These robots are test-beds for ideas about form and color and movement."
Filed under science neuroscience robotics camouflage soft robots
TAU research says genetics can reveal your geographic ancestral origin

While your DNA is unique, it also tells the tale of your family line. It carries the genetic history of your ancestors down through the generations. Now, says a Tel Aviv University researcher, it’s also possible to use it as a map to your family’s past.
Prof. Eran Halperin of TAU’s Blavatnik School of Computer Science and Department of Molecular Microbiology and Biotechnology, along with a group of researchers from University of California, Los Angeles, are giving new meaning to the term “genetic mapping.” Using a probabilistic model of genetic traits for every coordinate on the globe, the researchers have developed a method for determining more precisely the geographical location of a person’s ancestral origins.
The new method is able to pinpoint more specific locations for an individual’s ancestors, for example placing an individual’s father in Paris and mother in Barcelona. Previous methods would “split the difference” and place this origin inaccurately at a site between those two cities, such as Lyon.
Published in the journal Nature Genetics, this method has the potential to reveal the ancestry, origins, and migration patterns of many different human and animal populations. It could also be a new model for learning about the genome.
Points of origin
There are points in the human genome called SNPs that are manifested differently in each individual, explains Prof. Halperin. These points mutated sometime in the past and the mutation was then passed to a large part of the population in a particular geographic region. The probability of a person possessing these mutations today varies depending on the geographical location of those early ancestors.
"We wanted to ask, for example, about the probability of having the genetic mutation ‘A’ in a particular position on the genome based on geographical coordinates," he says. When you look at many of these positions together in a bigger picture, it’s possible to group populations with the same mutation by point of origin.
To test their method, Prof. Halperin and his fellow researchers studied DNA samples from 1,157 people from across Europe. Using a probabilistic mathematical algorithm based on mutations in the genome, they were able to accurately determine their ancestral point or points of origin using only DNA data and the new mathematical model, unravelling genetic information to ascertain two separate points on the map for the mother and father. The researchers hope to extend this model to identify the origins of grandparents, great-grandparents, and so on.
The new method could provide information that has applications in population genetic studies — to study a disease that impacts a particular group, for example. Researchers can track changes in different genomic traits across a map, such as the tendency for southern Europeans to have a mutation in a gene that causes lactose intolerance, a mutation missing from that gene in northern Europeans.
A closer look at migration
The researchers believe that their model could have also relevance for the animal kingdom, tracking the movement of animal populations. “In principle, you could figure out where the animals have migrated from, and as a result learn about habitat changes due to historical climate change or other factors,” says Prof. Halperin.
Source: Tel Aviv University
Filed under science neuroscience genetics DNA genetic mapping
DNA: The Ultimate Hard Drive
When it comes to storing information, hard drives don’t hold a candle to DNA. Our genetic code packs billions of gigabytes into a single gram. A mere milligram of the molecule could encode the complete text of every book in the Library of Congress and have plenty of room to spare. All of this has been mostly theoretical—until now. In a new study, researchers stored an entire genetics textbook in less than a picogram of DNA—one trillionth of a gram—an advance that could revolutionize our ability to save data.
A few teams have tried to write data into the genomes of living cells. But the approach has a couple of disadvantages. First, cells die—not a good way to lose your term paper. They also replicate, introducing new mutations over time that can change the data.
To get around these problems, a team led by George Church, a synthetic biologist at Harvard Medical School in Boston, created a DNA information-archiving system that uses no cells at all. Instead, an inkjet printer embeds short fragments of chemically synthesized DNA onto the surface of a tiny glass chip. To encode a digital file, researchers divide it into tiny blocks of data and convert these data not into the 1s and 0s of typical digital storage media, but rather into DNA’s four-letter alphabet of As, Cs, Gs, and Ts. Each DNA fragment also contains a digital “barcode” that records its location in the original file. Reading the data requires a DNA sequencer and a computer to reassemble all of the fragments in order and convert them back into digital format. The computer also corrects for errors; each block of data is replicated thousands of times so that any chance glitch can be identified and fixed by comparing it to the other copies.
To demonstrate its system in action, the team used the DNA chips to encode a genetics book co-authored by Church. It worked. After converting the book into DNA and translating it back into digital form, the team’s system had a raw error rate of only two errors per million bits, amounting to a few single-letter typos. That is on par with DVDs and far better than magnetic hard drives. And because of their tiny size, DNA chips are now the storage medium with the highest known information density, the researchers report online today in Science.
Don’t replace your flash drive with genetic material just yet, however. The cost of the DNA sequencer and other instruments “currently makes this impractical for general use,” says Daniel Gibson, a synthetic biologist at the J. Craig Venter Institute in Rockville, Maryland, “but the field is moving fast and the technology will soon be cheaper, faster, and smaller.” Gibson led the team that created the first completely synthetic genome, which included a “watermark” of extra data encoded into the DNA. The researchers used a three-letter coding system that is less efficient than the Church team’s but has built-in safeguards to prevent living cells from translating the DNA into proteins. “If DNA is going to be used for this purpose, and outside a laboratory setting, then you would want to use DNA sequence that is least likely to be expressed in the environment,” he says. Church disagrees. Unless someone deliberately “subverts” his DNA data-archiving system, he sees little danger.
Filed under science biology genetics DNA neuroscience genomics
The vast majority of people with addiction have suffered significant previous trauma, and many people who struggle with addiction suffer from post-traumatic stress disorder (PTSD) simultaneously. But the treatment of these patients has posed a conundrum: experts have believed that PTSD treatment should not begin until the addicted person achieves lasting abstinence, because of the risk that PTSD treatment may trigger relapse, yet addicted people with untreated PTSD are rarely able to abstain for long.
Now, a new study suggests that there may be no need to wait. Researchers found that using exposure therapy — the gold-standard treatment for PTSD, which involves exposure to memories and reminders of patients’ past trauma — can successfully reduce symptoms of PTSD, even when people with addiction continue to use drugs. And, although exposure therapy requires patients to face some of their worst fears, it does not increase their drug use or prompt them to drop out of treatment more than ordinary addiction therapy, the study found.
“The exciting thing in my view is that [the study] supports people with drug and alcohol problems having access to other forms of psychological interventions, rather than being fobbed off and told to sort out their alcohol or drug problem first,” says Michael Farrell, director of the National Drug and Alcohol Research Center at the University of New South Wales in Sydney, Australia, where the research was conducted.
The finding could potentially help the majority of those who suffer from addiction or PTSD: one-half to two-thirds of people with addictions suffer from PTSD concurrently, or have in the past, and about the same proportion of people with PTSD also have substance use disorders.
The new study involved 103 people with both conditions. Most were addicted to multiple drugs, primarily heroin, marijuana and alcohol. More than two-thirds of the participants had been traumatized during childhood, with almost half reporting a history of sexual abuse.
Researchers randomly assigned half of the participants to simply continue the addiction treatment of their choice, whether it was detoxification leading to abstinence, residential treatment or maintenance on medications like methadone and buprenorphine (Suboxone, Subutex).
The other half received their usual treatment, plus exposure therapy for PTSD, which consisted of 13 one-on-one sessions with a clinical psychologist, meeting about once a week for 90 minutes at a time. The therapy began with education about PTSD and addiction, including instruction on cognitive techniques to address distressing thoughts that could lead to relapse. Then, when patients were ready, they were exposed to reminders of their traumatic experience, which they usually avoided out of fear of triggering flashbacks and intense anxiety. Exposure therapy works to reduce or eliminate these PTSD symptoms by breaking patients’ cycle of fear and avoidance.
Indeed, participants in the exposure treatment “demonstrated significantly greater reductions in PTSD symptom severity compared with participants randomized to receive usual treatment alone,” the authors wrote. However, drug use in the exposure therapy group didn’t decline any more than it did in the usual treatment group. Both groups saw a reduction in the severity of addiction but in each case, the majority of participants continued to use drugs. Notably, however, drug use did not increase due to exposure therapy.
“These findings challenge the widely held view that patients need to be abstinent before any trauma work, let alone prolonged exposure therapy, is commenced,” the authors wrote. “[F]indings from the present study demonstrate that abstinence is not required.”
Importantly, however, while the findings showed that carefully delivered exposure therapy can help, they did not support the practice of forcing addicts to confront trauma in settings where they do not feel safe or in control. Exposure therapy is calibrated so that patients do not become overwhelmed or feel helpless; in contrast, coercion by the therapist can re-traumatize patients and worsen both PTSD and addiction symptoms, previous studies have shown.
In other words, it’s not clear that treating people with addiction by compelling them to recall or re-enact traumatic experiences — a commonly used tactic in group settings — actually helps. What the current study shows is that when trained clinical psychologists carefully deliver exposure therapy in a tightly monitored trial, they can help ease PTSD symptoms in people with addiction.
By Maia Szalavitz | August 15, 2012
Source: TIME
Filed under science neuroscience brain psychology PTSD addiction treatment
In 2000, a team of neuroscientists put an unusual idea to the test. Stress and depression, they knew, made neurons wither and die – particularly in the hippocampus, a brain area crucial for memory. So the researchers put some stressed-out rats on an antidepressant regimen, hoping the mood boost might protect some of those hippocampal neurons. When they checked in a few weeks later, though, the team found that rats’ hippocampuses hadn’t just survived intact; they’d grown whole new neurons – bundles of them. But that’s only the beginning of our tale.

Neural stem cells (green) in the hippocampus huddle around a neuron (purple), listening for stray signals.
By the time 2009 rolled around, another team of researchers was suggesting that human brains might get a similar hippocampal boost from antidepressants. The press announced the discovery with headlines like, “Antidepressants Grow New Brain Cells” – although not everyone agreed with that conclusion. Still, whether the principle applied to humans or not, a far more basic question was begging to be answered: How, exactly, does a brain tell new cells to form?
“Well, through synapses, of course,” you might answer – and that’d be a very reasonable guess. After all, synapses are how most neurons talk to each other: electrochemical information is “squirted” from a tiny tendril of one neuron into the tip of a tendril on another; and cells throughout most of the brain share essentially this same mechanism for passing signals along: The signals coming out of Neuron A’s synapses keep bugging Neuron B by stimulating its synapses, until finally Neuron B caves under peer pressure and bugs Neuron C with the signal… and so on.
There are, however, two significant exceptions to this system.
The first exception was discovered a few years ago, as scientists got more and more curious about the role of neuroglia (also known as just “glia”), synapse-less cells that many had assumed were just there to serve as structural support for neurons. A 2008 study showed that glia help control cerebral blood flow, and research in 2010 demonstrated that some glia – cells known as astrocytes – actively listen for and respond to certain neurotransmitter messages. These so-called “quiet cells” are actually pretty loud talkers once you learn to tune in to their chatter.
The second exception to the synapse rule is even more mysterious – in large part because it’s a brand-new discovery: As the journal Nature reports, a team led by Hongjun Song at the Johns Hopkins University School of Medicine have found that neural stem cells “listen in” on the stray chemical signals that leak from synapses.
You can imagine neural stem cells as being sort of “neural embryos” – depending on the surrounding conditions, they can develop into neurons or into glia. And here’s what’s strange about the way these cells communicate: They respond not to any single synaptic signal, but to the overall chemical “vibe” of their environment – to chronic feelings of stress, for instance. By way of response, they may morph into neurons or glia – or even tell the brain to crank out some all-new cells.
Neural stem cells seem to be particularly interested in the chemical GABA (gamma-aminobutyric acid) – a neurotransmitter that’s known to be involved in inhibiting signals from other neurons. When scientists artificially block these stem cells’ GABA receptors from receiving messages, the cells “wake up” and start replicating – but when those GABA signals are allowed to reach the receptors, the stem cells stay dormant.
“In this case,” Song explains, “GABA communication keeps the brain stem cells in reserve, so if we don’t need them, we don’t use them up.”
In short, leaky synapses aren’t wasteful – as a matter of fact, they’re essential to the brain’s self-sculpting abilities. And this implies something pretty interesting: It isn’t just individual signals that convey neural information, but whole experiences. In that respect, a brain – whether it belongs to a rat or a human – is unlike any computer on earth.
By Ben Thomas | August 15, 2012
Source: Scientific American
Filed under stem cells science neuroscience brain psychology
When something goes wrong in your brain, you’d think it would be a good idea to get rid of the problem. Turns out, sometimes it’s best to keep hold of it. By preventing faulty proteins from being destroyed, researchers have delayed the symptoms of a degenerative brain disorder.
SNAP25 is one of three proteins that together make up a complex called SNARE, which plays a vital role in allowing neurons to communicate with each other. In order to work properly, all the proteins must be folded in a specific way. CSP alpha is one of the key proteins that ensures SNAP25 is correctly folded.
Cells have a backup system to deal with any misfolded proteins – they are destroyed by a bell-shaped enzyme called a proteasome, which pulls the proteins inside itself and breaks them down.
People with a genetic mutation that affects the CSP alpha protein – and its ability to correctly fold SNAP25 – can develop a rare brain disorder called neuronal ceroid lipofuscinosis (NCL). The disorder causes significant damage to neurons – people affected gradually lose their cognitive abilities and struggle to move normally.
To find out what role proteasomes might play in NCL, Manu Sharma and his colleagues at Stanford University in California blocked the enzyme in mice that were bred to lack CSP alpha. “We weren’t sure what would happen,” says Sharma. Either the misfolded SNAP25 would accumulate and harm the cells, or some of the misfolded proteins may work well enough to retain some of their function.
Longer life
It appears it was the latter. Mice bred to lack CSP alpha suffer the same physical and cognitive problems as humans, and tend to survive for about 65 to 80 days, rather than the normal 670 days. But mice injected with a drug that blocked protease lived, on average, an extra 15 days. “Fifteen days might not sound like much, but as a percentage it’s quite significant,” says Sharma. What’s more, treated mice were able to stave off measurable movement and cognitive symptoms for an extra 10 days.
The finding goes against the idea that neurodegenerative disorders should be treated by clearing away misfolded proteins, rather than trying to rescue their function. “People normally think that protease isn’t working hard enough,” says Nico Dantuma at the Karolinska Institute in Stockholm, Sweden, who was not involved in the study.
But whether or not the drugs are likely to work in other neurodegenerative disorders involving aggregations of misfolded proteins, such as Alzheimer’s and Parkinson’s disease, is up for debate. “I don’t think their results prove that clearing misfolded proteins is not a useful therapeutic,” says Ana Maria Cuervo at Albert Einstein College of Medicine in New York. Other studies that increase the degrading of misfolded proteins have been shown to improve symptoms in other neurodegenerative diseases, she says.
"There are two sides of the coin," says Dantuma. "You might rescue functioning proteins from being degraded… but it’s too early to extrapolate these results to Alzheimer’s and Parkinson’s disease."
In the meantime, drugs that block proteasome are already used to treat cancer, so Sharma hopes they can soon be trialled in people with NCL.
Source: NewScientist
Filed under science neuroscience brain psychology degeneration protein disorders
The 2007 study by Yale University researchers provided the first evidence that 6- and 10-month-old infants could assess individuals based on their behaviour towards others, showing a preference for those who helped rather than hindered another individual.
Based on a series of experiments, researchers in the Department of Psychology at Otago have shown that the earlier findings may simply be the result of infants’ preferences for interesting and attention grabbing events, rather than an ability to evaluate individuals based on their social interactions with others.
"The paper received a lot of attention when it was first published, including coverage in the New York Times. It has received well over 100 citations since 2007, a phenomenal number over such a short period. The paper was initially brought to our attention by one of the PhD students in our lab. The head of the lab, Professor Harlene Hayne, suggested that a group of us read the paper together and then meet to discuss it. Our original motivation for reading the paper was merely interest. Obviously, the idea that morality is innate is extremely interesting and, if true, would raise questions about which components of our moral system are innate and also have implications for the wider issue of the roles that nature and nurture play in development," says Dr Scarf.
The Otago study was recently published in PLoS One
Filed under science neuroscience brain psychology research development
Depression takes a substantial toll on brain health. Brain imaging and post-mortem studies provide evidence that the wealth of connections in the brain are reduced in individuals with depression, with the result of impaired functional connections between key brain centers involved in mood regulation. Glial cells are one of the cell types that appear to be particularly reduced when analyzing post-mortem brain tissue from people who had depression. Glial cells support the growth and function of nerve cells and their connections.
Over the past several years, it has become increasingly recognized that antidepressants produce positive effects on brain structure that complement their effects on symptoms of depression. These structural effects of antidepressants appear to depend, in large part, on their ability to raise the levels of growth factors in the brain.
In a new study, Elsayed and colleagues from the Yale University School of Medicine report their findings on a relatively novel growth factor named fibroblast growth factor-2 or FGF2. They found that FGF2 can increase the number of glial cells and block the decrease caused by chronic stress exposure by promoting the generation of new glial cells.
Senior author Dr. Ronald Duman said, “Our study uncovers a new pathway that can be targeted for treating depression. Our research shows that we can increase the production and maintenance of glial cells that are important for supporting neurons, providing an enriched environment for proper neuronal function.”
To study whether FGF2 can treat depression, the researchers used rodent models where animals are subjected to various natural stressors, which can trigger behaviors that are similar to those expressed by depressed humans, such as despair and loss of pleasure. FGF2 infusions restored the deficit in glial cell number caused by chronic stress. An underlying molecular mechanism was also identified when the data showed that antidepressants increase glial generation and function via increasing FGF2 signaling.
"Although more research is warranted to explore the contribution of glial cells to the antidepressant effects of FGF2, the results of this study present a fundamental new mechanism that merits attention in the quest to find more efficacious and faster-acting antidepressant drugs," concluded Duman.
"The deeper that science digs into the biology underlying antidepressant action, the more complex it becomes. Yet understanding this complexity increases the power of the science, suggesting reasons for the limitations of antidepressant treatment and pointing to novel approaches to the treatment of depression," commented Dr. John Krystal, Editor of Biological Psychiatry and Chairman of the Department of Psychiatry at the Yale University School of Medicine.
Source: Bio-Medicine
Filed under science neuroscience brain psychology depression antidepressants
Low-Power Chips to Model a Billion Neurons
It’s a little sobering, actually. The average human brain packs a hundred billion or so neurons—connected by a quadrillion (1015) constantly changing synapses—into a space the size of a cantaloupe. It consumes a paltry 20 watts, much less than a typical incandescent lightbulb. But simulating this mess of wetware with traditional digital circuits would require a supercomputer that’s a good 1000 times as powerful as the best ones we have available today. And we’d need the output of an entire nuclear power plant to run it.
Fortunately, we don’t have to rely on traditional, power-hungry computers to get us there. Scattered around the world are at least half a dozen projects dedicated to building brain models using specialized analog circuits. Unlike the digital circuits in traditional computers, which could take weeks or even months to model a single second of brain operation, these analog circuits can model brain activity as fast as or even faster than it really occurs, and they consume a fraction of the power. But analog chips do have one serious drawback—they aren’t very programmable. The equations used to model the brain in an analog circuit are physically hardwired in a way that affects every detail of the design, right down to the placement of every analog adder and multiplier. This makes it hard to overhaul the model, something we’d have to do again and again because we still don’t know what level of biological detail we’ll need in order to mimic the way brains behave.
To help things along, my colleagues and I are building something a bit different: the first low-power, large-scale digital model of the brain. Dubbed SpiNNaker, for Spiking Neural Network Architecture, our machine looks a lot like a conventional parallel computer, but it boasts some significant changes to the way chips communicate. We expect it will let us model brain activity with speeds matching those of biological systems but with all the flexibility of a supercomputer.
Another team, led by Dharmendra Modha at IBM Almaden Research Center, in San Jose, Calif., works on supercomputer models of the cortex, the outer, information-processing layer of the brain, using simpler neuron models. In 2009, team members at IBM and Lawrence Livermore National Laboratory showed they could simulate the activity of 900 million neurons connected by 9 trillion synapses, more than are in a cat’s cortex. But as has been the case for all such models, its simulations were quite slow. The computer needed many minutes to model a second’s worth of brain activity.
One way to speed things up is by using custom-made analog circuits that directly mimic the operation of the brain. Traditional analog circuits—like the chips being developed by the BrainScaleS project at the Kirchhoff Institute for Physics, in Heidelberg, Germany—can run 10 000 times as fast as the corresponding parts of the brain. They’re also fabulously energy efficient. A digital logic circuit may need thousands of transistors to perform a multiplication, but analog circuits need only a few. When you break it down to the level of modeling the transmission of a single neural signal, these circuits consume about 0.001 percent as much energy as a supercomputer would need to perform the same task. Considering you’d need to perform that operation 10 quadrillion times a second, that translates into some significant energy savings. While a whole brain model built using today’s digital technology could easily consume more than US $10 billion a year in electricity, the power bill for a similar-scale analog system would likely come to less than $1 million.
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Filed under SpiNNaker brain modelling neural networks supercomputer neuron neuroscience science simulation tech