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Event-Related Brain Dynamics in Continuous Sustained-Attention Tasks

Ruey-Song Huang1, 2 Contact Information, Tzyy-Ping JungContact Information and Scott MakeigContact Information

(1)  Department of Cognitive Science,  
(2)  Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California, San Diego, La Jolla, CA 92093, USA
Abstract
Event-related brain dynamics of electroencephalographic (EEG) activity in a continuous compensatory tracking task (CTT) and in a continuous driving simulation were analyzed by independent component analysis (ICA) and time-frequency techniques. We showed that changes in the level of subject performance are accompanied by distinct changes in EEG spectrum of a class of bilateral posterior independent EEG components. During periods of high-error (drowsy) performance, tonic alpha band EEG power was significantly elevated, compared to that during periods of low-error (alert) performance. In addition, characteristic transient (phasic) alpha and other band increases and decreases followed critical task events, depending on current performance level. These performance-related and event-related spectral changes were consistently observed across subjects and sessions, and were remarkably similar across the two continuous sustained-attention tasks.

Keywords  EEG - ICA - brain dynamics - driving - drowsiness


Contact Information Ruey-Song Huang
Email: rshuang@sccn.ucsd.edu

Contact Information Tzyy-Ping Jung
Email: jung@sccn.ucsd.edu

Contact Information Scott Makeig
Email: scott@sccn.ucsd.edu
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