Human motor cortical activity recorded with micro-ECoG electrodes during individual finger movements

Wei Wang, Alan D. Degenhart, Jennifer L. Collinger, Ramana Vinjamuri, Gustavo P. Sudre, P. David Adelson, Deborah L. Holder, Eric C. Leuthardt, Daniel W. Moran, Michael L. Boninger, Andrew B. Schwartz, Donald J. Crammond, Elizabeth C. Tyler-Kabara, Douglas J. Weber

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

105 Scopus citations

Abstract

In this study human motor cortical activity was recorded with a customized micro-ECoG grid during individual finger movements. The quality of the recorded neural signals was characterized in the frequency domain from three different perspectives: (1) coherence between neural signals recorded from different electrodes, (2) modulation of neural signals by finger movement, and (3) accuracy of finger movement decoding. It was found that, for the high frequency band (60-120 Hz), coherence between neighboring micro-ECoG electrodes was 0.3. In addition, the high frequency band showed significant modulation by finger movement both temporally and spatially, and a classification accuracy of 73% (chance level: 20%) was achieved for individual finger movement using neural signals recorded from the micro-ECoG grid. These results suggest that the micro-ECoG grid presented here offers sufficient spatial and temporal resolution for the development of minimally-invasive brain-computer interface applications.

Original languageEnglish
Title of host publicationProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publicationEngineering the Future of Biomedicine, EMBC 2009
PublisherIEEE Computer Society
Pages586-589
Number of pages4
ISBN (Print)9781424432967
DOIs
StatePublished - 2009
Event31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States
Duration: Sep 2 2009Sep 6 2009

Publication series

NameProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

Conference

Conference31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Country/TerritoryUnited States
CityMinneapolis, MN
Period09/2/0909/6/09

Fingerprint

Dive into the research topics of 'Human motor cortical activity recorded with micro-ECoG electrodes during individual finger movements'. Together they form a unique fingerprint.

Cite this