Independent Component Analysis Separates Sequence-Sensitive ERP Components

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4 Citations (Scopus)

Abstract

Human performance is strongly influenced by the sequence of events. Decreasing the response-stimulus interval (RSI) between events qualitatively changes these so-called sequential effects. Using event-related brain potentials (ERPs) to detect electrical brain activity related to sequential patterns helps to uncover mechanisms underlying the observed performance data. Using a spatial compatible two-choice task ERPs were recorded from 32 electrode sites and Independent Component Analysis (ICA) applied to separate sequence-sensitive ERP components from two experiments, involving different RSIs. Independent Component Analysis was able to separate temporally and spatially overlapping ERP components. Sensitivity to the sequence of preceding events could be revealed in an early subcomponent of the N100 complex. Moreover, and in line with earlier reports sequential effects were also observed in P300 subcomponents.

Original languageEnglish
Pages (from-to)667-678
Number of pages12
JournalInternational Journal of Bifurcation and Chaos
Volume14
Issue number2
DOIs
Publication statusPublished - Feb 2004

Keywords

  • ICA
  • P300
  • ERP
  • sequential effects
  • EVENT-RELATED POTENTIALS
  • 2-CHOICE REACTION-TIME
  • STIMULUS SEQUENCE
  • BLIND SEPARATION
  • EXPECTANCY
  • ATTENTION

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