Multimodal imaging of functional networks and event-related potentials in performance monitoring

R.J. Huster, T. Eichele, S. Enriquez-Geppert, A. Wollbrink, H. Kugel, C. Konrad, C. Pantev

Research output: Contribution to journalArticleAcademicpeer-review

65 Citations (Scopus)


The stop-signal task is a prototypical experiment to study cognitive processes that mediate successful performance in a rapidly changing environment. By means of simultaneous recording and combined analysis of electroencephalography and functional magnetic resonance imaging on single trial level, we provide a comprehensive view on brain responses related to performance monitoring in this task. Three types of event-related EEG components were analyzed: a go-related N2/P3-complex devoid of motor-inhibition, the stop-related N2/P3-complex and the error-related negativity with its consecutive error positivity. Relevant functional networks were identified by crossmodal correlation analyses in a parallel independent component analysis framework. Go-related potentials were associated with a midcingulate network known to participate in the processing of conflicts, a left-dominant somatosensory-motor network, and deactivations in visual cortices. Stop-related brain responses in association with the N2/P3-complex were seen with networks known to support motor and cognitive inhibition, including parts of the basal ganglia, the anterior midcingulate cortex and pre-supplementary motor area as well as the anterior insula. Error-related brain responses showed a similar constellation with additional recruitment of the posterior insula and the inferior frontal cortex. Our data clearly indicate that the pre-supplementary motor area is involved in inhibitory mechanisms but not in the processing of conflicts per se.

Original languageEnglish
Pages (from-to)1588-1597
Number of pages10
Issue number3
Publication statusPublished - 1-Jun-2011
Externally publishedYes


  • Adult
  • Brain Mapping
  • Cerebrovascular Circulation
  • Data Interpretation, Statistical
  • Electroencephalography
  • Evoked Potentials
  • Female
  • Fingers
  • Functional Laterality
  • Humans
  • Image Processing, Computer-Assisted
  • Magnetic Resonance Imaging
  • Male
  • Motor Cortex
  • Nerve Net
  • Oxygen
  • Principal Component Analysis
  • Psychomotor Performance
  • Somatosensory Cortex
  • Touch
  • Young Adult
  • Journal Article
  • Research Support, Non-U.S. Gov't

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