DocumentCode
1433220
Title
Challenges and Opportunities for Next-Generation Intracortically Based Neural Prostheses
Author
Gilja, Vikash ; Chestek, Cindy A. ; Diester, Ilka ; Henderson, Jaimie M. ; Deisseroth, Karl ; Shenoy, Krishna V.
Author_Institution
Dept. of Comput. Sci., Stanford Univ., Stanford, CA, USA
Volume
58
Issue
7
fYear
2011
fDate
7/1/2011 12:00:00 AM
Firstpage
1891
Lastpage
1899
Abstract
Neural prosthetic systems aim to help disabled patients by translating neural signals from the brain into control signals for guiding computer cursors, prosthetic arms, and other assistive devices. Intracortical electrode arrays measure action potentials and local field potentials from individual neurons, or small populations of neurons, in the motor cortices and can provide considerable information for controlling prostheses. Despite several compelling proof-of-concept laboratory animal experiments and an initial human clinical trial, at least three key challenges remain which, if left unaddressed, may hamper the translation of these systems into widespread clinical use. We review these challenges: achieving able-bodied levels of performance across tasks and across environments, achieving robustness across multiple decades, and restoring able-bodied quality proprioception and somatosensation. We also describe some emerging opportunities for meeting these challenges. If these challenges can be largely or fully met, intracortically based neural prostheses may achieve true clinical viability and help increasing numbers of disabled patients.
Keywords
bioelectric potentials; biomedical electrodes; brain; handicapped aids; mechanoception; neurophysiology; prosthetics; reviews; able-bodied performance levels; action potentials; assistive devices; brain; clinical viability; computer cursors; disabled patients; intracortical electrode arrays; local field potentials; neural signals; next-generation intracortically based neural prostheses; proprioception; prosthetic arms; review; somatosensation; Computers; Decoding; Electric potential; Electrodes; Materials; Neurons; Prosthetics; Artificial sensation; brain–computer interfaces; brain–machine interfaces; intracortical electrode arrays; intracortical microstimulation; optogenetics; Animals; Cerebral Cortex; Equipment Design; Humans; Man-Machine Systems; Neural Prostheses; User-Computer Interface;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2011.2107553
Filename
5699350
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