NDLI: Local spatial correlation analysis of hand flexion/extension using intraoperative high-density ECoG

Content Provider	IEEE Xplore Digital Library
Author	Tianxiao Jiang Ince, N.F. Tao Jiang Wang, T. Shenshen Mei Yunlin Li Xiaofei Wang Zhiyi Sha
Copyright Year	2015
Description	Author affiliation: Haidian Hosp., China (Shenshen Mei; Yunlin Li; Xiaofei Wang) \|\| Dept. of Neurology, Univ. of Minnesota, Minneapolis, MN, USA (Zhiyi Sha) \|\| Univ. of Houston, Houston, TX, USA (Tianxiao Jiang; Ince, N.F.) \|\| Tian Tan Hosp., China (Tao Jiang)
Abstract	We recorded motor cortical activity using highdensity electrocorticogram (ECoG) from three patients during awake craniotomy. Subjects repeatedly executed hand flexion/extension tasks according to auditory instructions. Clear event-related desynchronization (ERD) in beta band (8-32) Hz and event-related synchronization (ERS) in gamma band (60-200) Hz were observed. High frequency band (HFB: 60-200 Hz) activation was found to be more localized compared to low frequency band (LFB: 8-32 Hz) activation in all subjects. Local spatial correlation maps in LFB and HFB were constructed by computing the correlation between channels. Local spatial correlation dropped more in the ERD/ERS areas consistently in two subjects. The results indicate that ERD/ERS patterns are more spatially uncorrelated and denser ECoG electrode is necessary within these areas to map uncorrelated `sources'. High resolution electrodes might improve both clinical functional mapping and brain machine interface outcomes in the near future.
Starting Page	6190
Ending Page	6193
File Size	5047202
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7319806
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Electrodes Time-frequency analysis Synchronization Modulation Hospitals Electrocardiography
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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