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UMD Brain Cap Technology Turns Thought Into Motion

Mind-machine interface could lead to life-changing technologies for millions of people with limb or spinal cord injuries or stroke

COLLEGE PARK, Md. July 27, 2011 University of Maryland L. Contreras-Vidal

"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.

Journal of Neurophysiology University of Maryland School of Medicine Johns Hopkins University Rice University

Maryland

http://www.newsdesk.umd.edu/scitech/release.cfm?ArticleID=2475

Peer Reviewed

Alessandro Presacco Journal of Neurophysiology

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
$1.2 million Maryland Rice University University of Michigan Drexel University

Rice University

New Zealand

University of Maryland School of Medicine Baltimore Baltimore University of Maryland, College Park University of Maryland, Baltimore

Larry Forrester 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.

Maryland Steve Graff

No Surgery Required

"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.

University of Maryland

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