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Event-related covariances during a bimanual visuomotor task. I. Methods and analysis of stimulus- and response-locked data
Institution:1. Center for BrainHealth, The University of Texas at Dallas, Dallas, TX, USA;2. Callier Center for Communication Disorders, The University of Texas at Dallas, TX, USA;3. Medical Scientist Training Program, Washington University in St. Louis, MO, USA;4. Department of Neurology and Neurotherapeutics, The University of Texas Southwestern Medical Center, Dallas, TX, USA;5. Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA;1. School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China;2. Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology, Jinan 250014, China;3. Institute of Data Science and Technology, Shandong Normal University, Jinan 250014, China;4. Institute of Life Sciences at Shandong Normal University, Jinan, 250014, China;5. Key Laboratory of Intelligent Information Processing at Shandong Normal University, Jinan, 250014, China
Abstract:A new method that measures between-channel, event-related covariances (ERCs) from scalp-recorded brain signals has been developed. The method was applied to recordings of 26 EEG channels from 7 right-handed men performing a bimanual visuomotor judgment task that required fine motor control. Covariance and time-delay measures were derived from pairs of filtered, laplacian-derived, averaged wave forms, which were enhanced by rejection of outlying trials, in intervals spanning event-related potential components. Stimulus- and response-locked ERC patterns were consistent with functional neuroanatomical models of visual stimulus processing and response execution. In early post-stimulus intervals, ERC patterns differed according to the physical properties of the stimulus; in later intervals, the patterns differed according to the subjective interpretation of the stimulus. The response-locked ERC patterns suggested 4 major cortical generators for the voluntary fine motor control required by the task: motor, somesthetic, premotor and/or supplementary motor, and prefrontal. This new method may thus be an advancement toward characterizing, both spatially and temporally, functional cortical networks in the human brain responsible for perception and action.
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