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Event-Related Brain Dynamics in Continuous Sustained-Attention Tasks
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Event-Related Brain Dynamics in Continuous Sustained-Attention Tasks
Ruey-Song Huang1, 2 , Tzyy-Ping Jung2 and Scott Makeig2 
| (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
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