Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
404221 | Neural Networks | 2012 | 5 Pages |
Abstract
We investigated neurophysiologic correlates of individual differences in the modulation of sensorimotor rhythms (SMRs) in the human electroencephalography (EEG) during motor imagery. The ability of modulating SMRs to different motor imageries was correlated with the strength of alpha phase synchronization across frontal and central sensorimotor areas. The results suggest that fronto-central coupling may elucidate individual variations in SMR modulation that is essential for using SMR-based brain–computer interfaces.
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Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yoon Gi Chung, Jae-Hwan Kang, Sung-Phil Kim,