Across-trial averaging of event-related EEG responses and beyond

  • Mouraux A
  • Iannetti G
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Abstract

Internally and externally triggered sensory, motor and cognitive events elicit a number of transient changes in the ongoing electroencephalogram (EEG): event-related brain potentials (ERPs), event-related synchronization and desynchronization (ERS/ERD), and event-related phase resetting (ERPR). To increase the signal-to-noise ratio of event-related brain responses, most studies rely on across-trial averaging in the time domain, a procedure that is, however, blind to a significant fraction of the elicited cortical activity. Here, we outline the key concepts underlying the limitations of time-domain averaging and consider three alternative methodological approaches that have received increasing interest: time-frequency decomposition of the EEG (using the continuous wavelet transform), blind source separation of the EEG (using Independent Component Analysis) and the analysis of event-related brain responses at the level of single trials. In addition, we provide practical guidelines on the implementation of these methods and on the interpretation of the results they produce. © 2008 Elsevier Inc. All rights reserved.

Author-supplied keywords

  • Blind source separation (BSS)
  • EEG analysis
  • Electrophysiology
  • Event-related desynchronization (ERD)
  • Event-related phase resetting (ERPR)
  • Event-related potentials (ERPs)
  • Event-related synchronization (ERS)
  • Independent component analysis (ICA)
  • Single-trial analysis
  • Time-frequency analysis

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