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Social deficits associated with autism, schizophrenia induced in mice with new technology

ScienceDaily (July 27, 2011) — Researchers at Stanford University School of Medicine have been able to switch on, and then switch off, social-behavior deficits in mice that resemble those seen in people with autism and schizophrenia, thanks to a technology that allows scientists to precisely manipulate nerve activity in the brain. In synchrony with this experimentally induced socially aberrant behavior, the mice exhibited a brain-wave pattern called gamma oscillation that has been associated with autism and schizophrenia in humans, the researchers say.

The findings, to be published online in Nature on July 27, lend credence to a hypothesis that has been long floated but hard to test, until now. They mark the first demonstration, the researchers said, that elevating the brain's susceptibility to stimulation can produce social deficits resembling those of autism and schizophrenia, and that then restoring the balance eases those symptoms.

Autism spectrum disorder and schizophrenia each affect nearly 1 percent of all people. At present, there are no good drugs for mitigating the social-behavioral deficits of either disorder. While they differ in many ways, each syndrome is extremely complex, involving diverse deficits including social dysfunction. Mice are social animals, and there are many well-established tests of sociability in these animals.

Social behavior can't be ascribed to a single brain region, said Karl Deisseroth, MD, PhD, associate professor of psychiatry and behavioral sciences and of bioengineering and the study's senior author. "To form a coherent pattern of another individual, you need to quickly integrate all kinds of sensations. And that's just the tip of the iceberg," said Deisseroth, a practicing psychiatrist who routinely sees autistic-spectrum patients. "It's all changing, millisecond by millisecond, as both you and the other individual act and react. You have to constantly alter your own predictions about what's coming next. This kind of interaction is immensely more uncertain than, for example, predator/prey activity. It seems that it has to involve the whole brain, not just one or another part of it."

One intriguing hypothesis holds that social dysfunctions characteristic of autism and schizophrenia may stem from an altered balance in the propensity of excitatory versus inhibitory nerve cells in the brain to fire, resulting in an overall hyper-responsiveness to stimulation. Evidence for this hypothesis includes the higher seizure rate among patients with autism, and the fact that many autistic children's brains exhibit elevated levels of a high-frequency brain-wave pattern -- known as "gamma oscillation" -- that can be picked up by an electroencephalogram. Many schizophrenics also exhibit social deficits as well as higher levels of this anomalous brain-wave pattern, even at rest.

In addition, said Deisseroth, "autistic kids seem to be over-responding to environmental stimuli." For instance, they find eye contact overwhelming, or may cover their ears if there are too many people talking at once.

There has been no direct way to test the "excitation/inhibition-balance" hypothesis, Deisseroth said. It's been impossible to experimentally shift the balance between excitation and inhibition in the brain by selectively raising the firing propensities of one class of nerve cells but not the opposing class, because there have been no drugs or electrophysiological methods that act only on excitatory cells of the brain, or only on inhibitory cells.

But Deisseroth's team has a way of doing that, with a new technology, pioneered in his laboratory and called optogenetics: selectively bioengineering specific types of nerve cells so that they respond to light. These cells can be bioengineered to be either more or less likely -- depending on the researchers' intent -- to relay an impulse to the next nerve cell in a circuit. So with the flick of a switch, the scientists can activate a nerve circuit in the brain or inhibit it. Nerve cells can also be rendered responsive, in various ways, to different frequencies of light, allowing several circuits to be manipulated at once. (The optogenetic technique cannot be used in humans at this time as it requires still-experimental genetic modifications to brain cells.)

For the experiments in this study, the investigators targeted excitatory and inhibitory nerve cells in the medial prefrontal cortex, the most advanced part of the mouse brain, Deisseroth said. This region is very well-connected to everyplace else in the brain and is involved in processes such as planning, execution, personality and social behavior, he said.

"We didn't want to precisely direct the firing patterns of excitatory or inhibitory cells," Deisseroth said. "We wouldn't know where to start, because we don't know the neural codes of behavior. We just wanted to bias excitability."

Instead, the researchers bioengineered the nerve cells to respond to specific wavelength bands of light by becoming, for extended periods of time, either more or less likely to fire. "Nerve cells have an all-or-nothing tipping point," Deisseroth said. "Up to that point, they won't do much. But at a certain threshold, they fire."

The study's two first co-authors, postdoctoral researcher Ofer Yizhar, PhD, (now at Weizmann Institute of Science in Rehovot, Israel), and Lief Fenno, a graduate student in the medical school's MD/PhD program, devised ways of activating or inhibiting brain circuits by a light pulse for up to a half-hour, variously increasing or decreasing the firing propensity of nerve cells in those circuits. This time period was long enough to let the animals engage in various tests of social behavior.

The researchers subjected the mice they'd bioengineered to standard assays of rodent behavior, and compared the results to outcomes using normal mice.

The experimental mice exhibited no difference from the normal mice in tests of their anxiety levels, their tendency to move around or their curiosity about new objects. But, the team observed, the animals in whose medial prefrontal cortex excitability had been optogenetically stimulated lost virtually all interest in engaging with other mice to whom they were exposed. (The normal mice were much more curious about one another.)

"Boosting their excitatory nerve cells largely abolished their social behavior," Deisseroth said. In addition, these mice's brains showed the same gamma-oscillation pattern that is observed among many autistic and schizophrenic patients. "When you raise the firing likelihood of excitatory cells in the medial prefrontal cortex, you see an increased gamma oscillation right away, just as one would predict it would if this change in the excitatory/inhibitory balance were in fact relevant."

And when the scientists restored that balance by revving up inhibitory nerve-cell firing in the medial prefrontal cortex, they saw a moderate but significant recovery of social function.

"The behavioral results and the correspondence of gamma-oscillation changes to alterations in the animals' excitatory/inhibitory balance suggest that that what we're observing in animals could be relevant to people," said Deisseroth.

The study was performed in collaboration with experimental biophysics professor Peter Hegemann, PhD, and his colleagues at Humboldt University in Berlin, and John Huguenard, PhD, professor of neurology and neurological sciences at Stanford. Additional Stanford co-authors were bioengineering postdoctoral researchers Thomas Davidson, PhD, Vikaas Sohal, PhD and Inbal Goshen, PhD; neurology postdoctoral researcher Jeanne Paz, PhD; neuroscience graduate student Daniel O'Shea; bioengineering research associate Joel Finkelstein; and bioengineering laboratory manager Charu Ramakrishnan. Funding came from the Yu, Woo, Snyder and Keck foundations, and from the National Institute of Mental Health, National Institute on Drug Abuse, National Institute of Neurological Disorders and Stroke, the DARPA REPAIR program and the California Institute for Regenerative Medicine, as well as the CNC program at Stanford.

Story Source:

The above story is reprinted (with editorial adaptations by ScienceDaily staff) from materials provided by Stanford University Medical Center. The original article was written by Bruce Goldman.

Journal Reference:

Ofer Yizhar, Lief E. Fenno, Matthias Prigge, Franziska Schneider, Thomas J. Davidson, Daniel J. O’Shea, Vikaas S. Sohal, Inbal Goshen, Joel Finkelstein, Jeanne T. Paz, Katja Stehfest, Roman Fudim, Charu Ramakrishnan, John R. Huguenard, Peter Hegemann, Karl Deisseroth. Neocortical excitation/inhibition balance in information processing and social dysfunction. Nature, 2011; DOI: 10.1038/nature10360

Note: If no author is given, the source is cited instead.

Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment. Views expressed here do not necessarily reflect those of ScienceDaily or its staff.



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'Brain cap' technology turns thought into motion; Mind-machine interface could lead to new life-changing technologies for millions of people

ScienceDaily (July 29, 2011) — "Brain cap" technology being developed at the University of Maryland allows users to turn their thoughts into motion. Associate Professor of Kinesiology José 'Pepe' L. Contreras-Vidal and his team have created a non-invasive, sensor-lined cap with neural interface software that soon could be used to control computers, robotic prosthetic limbs, motorized wheelchairs and even digital avatars.

"We are on track to develop, test and make available to the public- within the next few years -- a safe, reliable, noninvasive brain computer interface that can bring life-changing technology to millions of people whose ability to move has been diminished due to paralysis, stroke or other injury or illness," said Contreras-Vidal of the university's School of Public Health.

The potential and rapid progression of the UMD brain cap technology can be seen in a host of recent developments, including a just published study in the Journal of Neurophysiology, new grants from the National Science Foundation (NSF) and National Institutes of Health, and a growing list of partners that includes the University of Maryland School of Medicine, the Veterans Affairs Maryland Health Care System, the Johns Hopkins University Applied Physics Laboratory, Rice University and Walter Reed Army Medical Center's Integrated Department of Orthopaedics & Rehabilitation.

"We are doing something that few previously thought was possible," said Contreras-Vidal, who is also an affiliate professor in Maryland's Fischell Department of Bioengineering and the university's Neuroscience and Cognitive Science Program. "We use EEG [electroencephalography] to non-invasively read brain waves and translate them into movement commands for computers and other devices.

Peer Reviewed

Contreras-Vidal and his team have published three major papers on their technology over the past 18 months, the latest a just released study in the Journal of Neurophysiology in which they successfully used EEG brain signals to reconstruct the complex 3-D movements of the ankle, knee and hip joints during human treadmill walking. In two earlier studies they showed (1) similar results for 3-D hand movement and (2) that subjects wearing the brain cap could control a computer cursor with their thoughts.

Alessandro Presacco, a second-year doctoral student in Contreras-Vidal's Neural Engineering and Smart Prosthetics Lab, Contreras-Vidal and co-authors write that their Journal of Neurophysiology study indicated "that EEG signals can be used to study the cortical dynamics of walking and to develop brain-machine interfaces aimed at restoring human gait function."

There are other brain computer interface technologies under development, but Contreras-Vidal notes that these competing technologies are either very invasive, requiring electrodes to be implanted directly in the brain, or, if noninvasive, require much more training to use than does UMD's EEG-based, brain cap technology.

Partnering to Help Sufferers of Injury and Stroke

Contreras-Vidal and his team are collaborating on a rapidly growing cadre projects with researchers at other institutions to develop thought-controlled robotic prosthetics that can assist victims of injury and stroke. Their latest partnership is supported by a new $1.2 million NSF grant. Under this grant, Contreras-Vidal's Maryland team is embarking on a four-year project with researchers at Rice University, the University of Michigan and Drexel University to design a prosthetic arm that amputees can control directly with their brains, and which will allow users to feel what their robotic arm touches.

"There's nothing fictional about this," said Rice University co-principal investigator Marcia O'Malley, an associate professor of mechanical engineering. "The investigators on this grant have already demonstrated that much of this is possible. What remains is to bring all of it -- non-invasive neural decoding, direct brain control and [touch] sensory feedback -- together into one device."

In a NIH-supported project underway, Contreras-Vidal and his colleagues are pairing their brain cap's EEG-based technology with a DARPA-funded next-generation robotic arm designed by researchers at the Johns Hopkins Applied Physics Laboratory to function like a normal limb. And the UMD team is developing a new collaboration with the New Zealand's start-up Rexbionics, the developer of a powered lower-limb exoskeleton called Rex that could be used to restore gait after spinal cord injury.

Two of the earliest partnerships formed by Contreras-Vidal and his team are with the University of Maryland School of Medicine in Baltimore and the Veterans Affairs Medical Center in Baltimore. A particular focus of this research is the use of the brain cap technology to help stroke victims whose brain injuries affect their motor-sensory control. Originally funded by a seed grant from the University of Maryland, College Park and the University of Maryland, Baltimore, the work now also is supported by a VA merit grant (anklebot BMI) and an NIH grant (Stroke).

"There is a big push in brain science to understand what exercise does in terms of motor learning or motor retraining of the human brain," says Larry Forrester, an associate professor of physical therapy and rehabilitation science at the University of Maryland School of Medicine.

For the more than a year, Forrester and the UMD team have tracked the neural activity of people on a treadmill doing precise tasks like stepping over dotted lines. The researchers are matching specific brain activity recorded in real time with exact lower-limb movements.

This data could help stroke victims in several ways, Forrester says. One is a prosthetic device, called an "anklebot," or ankle robot, that stores data from a normal human gait and assists partially paralyzed people. People who are less mobile commonly suffer from other health issues such as obesity, diabetes or cardiovascular problems, Forrester says, "so we want to get [stroke survivors] up and moving by whatever means possible."

The second use of the EEG data in stroke victims is more complex, yet offers exciting possibilities. "By decoding the motion of a normal gait," Contreras-Vidal says, "we can then try and teach stroke victims to think in certain ways and match their own EEG signals with the normal signals." This could "retrain" healthy areas of the brain in what is known as neuroplasticity.

One potential method for retraining comes from one of the Maryland research team's newest members, Steve Graff, a first-year bioengineering doctoral student. He envisions a virtual reality game that matches real EEG data with on-screen characters. "It gives us a way to train someone to think the right thoughts to generate movement from digital avatars. If they can do that, then they can generate thoughts to move a device," says Graff, who brings a unique personal perspective to the work. He has congenital muscular dystrophy and uses a motorized wheelchair. The advances he's working on could allow him to use both hands -- to put on a jacket, dial his cell phone or throw a football while operating his chair with his mind.

No Surgery Required

During the past two decades a great deal of progress has been made in the study of direct brain to computer interfaces, most of it through studies using monkeys with electrodes implanted in their brains. However, for use in humans such an invasive approach poses many problems, not the least of which is that most people don't' want holes in their heads and wires attached to their brains. "EEG monitoring of the brain, which has a long, safe history for other applications, has been largely ignored by those working on brain-machine interfaces, because it was thought that the human skull blocked too much of the detailed information on brain activity needed to read thoughts about movement and turn those readings into movement commands for multi-functional high-degree of freedom prosthetics," said Contreras-Vidal. He is among the few who have used EEG, MEG or other sensing technologies to develop non-invasive neural interfaces, and the only one to have demonstrated decoding results comparable to those achieved by researchers using implanted electrodes.

A paper Contreras-Vidal and colleagues published in the Journal of Neuroscience in March 2010 showed the feasibility of Maryland's EEG-based technology to infer multidimensional natural movement from noninvasive measurements of brain activity. In their two latest studies, Contreras-Vidal and his team have further advanced the development of their EEG brain interface technology, and provided powerful new evidence that it can yield brain computer interface results as good as or better than those from invasive studies, while also requiring minimal training to use.

In a paper published in April in the Journal of Neural Engineering, the Maryland team demonstrated that people wearing the EEG brain cap, could after minimal training control a computer cursor with their thoughts and achieve performance levels comparable to those by subjects using invasive implanted electrode brain computer interface systems. Contreras-Vidal and his co-authors write that this study also shows that compared to studies of other noninvasive brain control interface systems, training time with their system was substantially shorter, requiring only a single 40-minute session.

Story Source:

The above story is reprinted (with editorial adaptations by ScienceDaily staff) from materials provided by University of Maryland.

Journal Reference:

A. Presacco, R. Goodman, L. W. Forrester, J. L. Contreras-Vidal. Neural decoding of treadmill walking from non-invasive, electroencephalographic (EEG) signals. Journal of Neurophysiology, 2011; DOI: 10.1152/jn.00104.2011

Note: If no author is given, the source is cited instead.

Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment. Views expressed here do not necessarily reflect those of ScienceDaily or its staff.



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