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Decoding Motor Imagery from the Posterior Parietal Cortex of a Tetraplegic Human

Aflalo, Tyson and Kellis, Spencer and Klaes, Christian and Lee, Brian and Shi, Ying and Pejsa, Kelsie and Shanfield, Kathleen and Hayes-Jackson, Stephanie and Aisen, Mindy and Heck, Christi and Liu, Charles and Andersen, Richard A. (2015) Decoding Motor Imagery from the Posterior Parietal Cortex of a Tetraplegic Human. Science, 348 (6237). pp. 906-910. ISSN 0036-8075. PMCID PMC4896830. doi:10.1126/science.aaa5417. https://resolver.caltech.edu/CaltechAUTHORS:20150217-102913989

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Abstract

Nonhuman primate and human studies have suggested that populations of neurons in the posterior parietal cortex (PPC) may represent high-level aspects of action planning that can be used to control external devices as part of a brain-machine interface. However, there is no direct neuron-recording evidence that human PPC is involved in action planning, and the suitability of these signals for neuroprosthetic control has not been tested.We recorded neural population activity with arrays of microelectrodes implanted in the PPC of a tetraplegic subject. Motor imagery could be decoded from these neural populations, including imagined goals, trajectories, and types of movement.These findings indicate that the PPC of humans represents high-level, cognitive aspects of action and that the PPC can be a rich source for cognitive control signals for neural prosthetics that assist paralyzed patients.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1126/science.aaa5417DOIArticle
http://dx.doi.org/10.1126/science.aab3464Featured InScience: Perspective
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4896830/PubMed CentralArticle
ORCID:
AuthorORCID
Aflalo, Tyson0000-0002-0101-2455
Kellis, Spencer0000-0002-5158-1058
Klaes, Christian0000-0003-4767-9631
Lee, Brian0000-0002-3592-8146
Liu, Charles0000-0001-6423-8577
Andersen, Richard A.0000-0002-7947-0472
Additional Information:© 2015 American Association for the Advancement of Science. These authors contributed equally to this work. Submitted 20 December 2014; accepted 31 March 2015. We thank EGS for his unwavering dedication and enthusiasm, which made this study possible. We acknowledge V. Shcherbatyuk for computer assistance; T. Yao, A. Berumen, and S. Oviedo, for administrative support; K. Durkin for nursing assistance; and our colleagues at the Applied Physics Laboratory at Johns Hopkins and at Blackrock Microsystems for technical support. This work was supported by the NIH under grants EY013337, EY015545, and P50 MH942581A; the Boswell Foundation; The Center for Neurorestoration at the University of Southern California; and Defense Department contract N66001-10-4056. All primary behavioral and neurophysiological data are archived in the Division of Biology and Biological Engineering at the California Institute of Technology.
Funders:
Funding AgencyGrant Number
NIHEY013337
NIHEY015545
NIHP50 MH942581A
James G. Boswell FoundationUNSPECIFIED
USC Neurorestoration CenterUNSPECIFIED
Office of Naval Research (ONR)N66001-10-4056
Issue or Number:6237
PubMed Central ID:PMC4896830
DOI:10.1126/science.aaa5417
Record Number:CaltechAUTHORS:20150217-102913989
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20150217-102913989
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:54866
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:21 May 2015 18:39
Last Modified:03 Jun 2022 19:34

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