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First published online on February 1, 2007.
Copyright © 2007 by The Physiological Society
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jphysiol.2006.127209v1
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Received December 21, 2006
Revised January 4, 2007
Accepted after revision January 17, 2007

Assistive technology and robotic control using MI ensemble-based neural interface systems in humans with tetraplegia

John P Donoghue1*, Arto Nurmikko1, Michael Black1, and Leigh Hochberg1

1 Brown University

* To whom correspondence should be addressed. E-mail: john_donoghue{at}brown.edu.

This review describes the rationale, early stage development, and initial human application of neural interface systems (NIS) for humans with paralysis. NIS are an emerging medical device designed to allow persons with paralysis to operate assistive technologies or to reanimate muscles based upon a command signal that is obtained directly from the brain. Such systems require the development of sensors to detect brain signals, decoders to transform signals neural activity into a useful command, and an interface for the user. We review initial pilot trial results of an NIS that is based on an intracortical microelectrode sensor that derives control signals from the motor cortex. We review recent findings showing first, that neurons engaged by movement intentions persist in motor cortex years after injury or disease to the motor system and second, that signals derived from motor cortex can be used by persons with paralysis to operate a range of devices. We suggest that, with further development, this form of NIS system holds promise as a useful new neurotechnology for those with limited motor function or communication. We also discuss the additional potential for neural sensors to be used in the diagnosis and management of various neurological and psychiatric conditions and as a new way to learn about human brain function.




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