NDLI: Human motor cortical activity recorded with Micro-ECoG electrodes, during individual finger movements

Content Provider	IEEE Xplore Digital Library
Author	Wang, W. Degenhart, A.D. Collinger, J.L. Vinjamuri, R. Sudre, G.P. Adelson, P.D. Holder, D.L. Leuthardt, E.C. Moran, D.W. Boninger, M.L. Schwartz, A.B. Crammond, D.J. Tyler-Kabara, E.C. Weber, D.J.
Copyright Year	2009
Description	Author affiliation: Carnegie Mellon University, Pittsburgh, PA (Sudre, G.P.) \|\| Phoenix Children's Hospital, Phoenix, AZ (Adelson, P.D.) \|\| University of Pittsburgh, Pittsburgh, PA (Wang, W.; Degenhart, A.D.; Collinger, J.L.; Vinjamuri, R.; Holder, D.L.; Boninger, M.L.; Schwartz, A.B.; Crammond, D.J.; Tyler-Kabara, E.C.) \|\| Washington University in St. Louis, St. Louis, MO (Leuthardt, E.C.; Moran, D.W.) \|\| Departments of Physical Medicine & Rehabilitation and Bioengineering, University of Pittsburgh, Pittsburgh, PA (Weber, D.J.)
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.
Starting Page	586
Ending Page	589
File Size	1891001
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5333704
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans Micromotors Electrodes Fingers Frequency Spatial resolution Decoding Signal resolution Brain computer interfaces USA Councils
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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