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This study is for people who have a paralyzed arm and hand from a spinal cord injury, who have also received a recording electrode array in the brain as part of the BrainGate study. The study will look at the ability of these participants to control different grasping patterns of the hand, both in virtual reality and in his/her actual hand. Movement of the participant's hand is controlled by a functional electrical stimulation (FES) system, which involves small electrodes implanted in the arm, shoulder and hand that use small electrical currents to activate the appropriate muscles.
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This work aims to advance Brain-Computer-Interfaces (BCls) to provide severely paralyzed persons a natural way of controlling Functional Electrical Stimulation (FES) neuroprostheses for restoring arm and dexterous hand movements. The prospect of using BCI technology for restoring arm and hand movements for reaching and grasping is based on the hypothesis that in a paralyzed human, there is a repeatable and understandable relationship between recordable brain activity and specific aspects of imagined arm movements. Many previous studies have attempted to understand the relationships between brain activity and arm and hand movements in able-bodied monkeys. Little is known about these same relationships in humans, and specifically within the context of trying to control an FES arm and complex hand system. This study will recruit persons who already have BCI and FES systems implanted to take advantage of the possibility of recording high resolution brain activity in human participants. Thus, from this study, we aim to gain a better understanding of how brain signals are related to specific aspects of arm and complex hand movements in humans with paralysis. Additionally, this study will test novel implementations of complex hand movement restoration in Veterans and other persons with chronic hand and arm paralysis.
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Data sourced from clinicaltrials.gov
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