Event-related brain dynamics in continuous sustained-attention tasks

  • Authors:
  • Ruey-Song Huang;Tzyy-Ping Jung;Scott Makeig

  • Affiliations:
  • Department of Cognitive Science, University of California, San Diego, La Jolla, CA;Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California, San Diego, La Jolla, CA;Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California, San Diego, La Jolla, CA

  • Venue:
  • FAC'07 Proceedings of the 3rd international conference on Foundations of augmented cognition
  • Year:
  • 2007

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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.