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
Link To Document :
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