Independent component analysis of dynamic brain responses during visuomotor adaptation

José L. Contreras-Vidal, Scott E. Kerick

Research output: Contribution to journalArticle

50 Scopus citations

Abstract

To investigate the spatial and temporal changes in electro-cortical brain activity and hand kinematics during the acquisition of an internal model of a novel screen-cursor transformation, we employed single-trial infomax independent component analysis (ICA), spectral estimation, and kinematics methods. Participants performed center-out drawing movements under normal and rotated visual feedback of pen movements displayed on a computer screen. Clustering of task-related and adaptation-related independent components identified a selective recruitment of brain activation/deactivation foci associated with the exposure to the distorted visual feedback, including networks associated with frontal-, central-, and lateral-posterior alpha rhythms, and frontal-central error-related negativity potential associated with transient theta and low beta rhythms locked to movement onset. Moreover, adaptation to the rotated reference frame was associated with a reduction in the imposed directional bias and decreases in movement path length and movement time by late-exposure trials, as well as after-effects after removal of the visual distortion. The underlying spatiotemporal pattern of activations is consistent with recruitment of frontal-parietal, sensory-motor, and anterior cingulate cortical areas during visuomotor adaptation.

Original languageEnglish (US)
Pages (from-to)936-945
Number of pages10
JournalNeuroImage
Volume21
Issue number3
DOIs
StatePublished - Mar 2004

Keywords

  • EEG
  • Functional imaging
  • ICA
  • Internal model
  • Kinematics
  • Learning

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology

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