Mining event-related brain dynamics

Trends Cogn Sci. 2004 May;8(5):204-10. doi: 10.1016/j.tics.2004.03.008.


This article provides a new, more comprehensive view of event-related brain dynamics founded on an information-based approach to modeling electroencephalographic (EEG) dynamics. Most EEG research focuses either on peaks 'evoked' in average event-related potentials (ERPs) or on changes 'induced' in the EEG power spectrum by experimental events. Although these measures are nearly complementary, they do not fully model the event-related dynamics in the data, and cannot isolate the signals of the contributing cortical areas. We propose that many ERPs and other EEG features are better viewed as time/frequency perturbations of underlying field potential processes. The new approach combines independent component analysis (ICA), time/frequency analysis, and trial-by-trial visualization that measures EEG source dynamics without requiring an explicit head model.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Action Potentials / physiology*
  • Brain / physiology*
  • Brain Mapping / instrumentation*
  • Electroencephalography / methods*
  • Evoked Potentials / physiology*
  • Humans
  • Image Processing, Computer-Assisted
  • Magnetoencephalography / methods
  • Models, Neurological
  • Reproducibility of Results