• 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