Repetition suppression and plasticity in the human brain

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Marta I. Garrido - , University College London, University of California at Los Angeles (Autor:in)
  • James M. Kilner - , University College London (Autor:in)
  • Stefan J. Kiebel - , Max-Planck-Institut für Kognitions- und Neurowissenschaften (Autor:in)
  • Klaas E. Stephan - , University College London, Universität Zürich (Autor:in)
  • Torsten Baldeweg - , University College London (Autor:in)
  • Karl J. Friston - , University College London (Autor:in)

Abstract

The suppression of neuronal responses to a repeated event is a ubiquitous phenomenon in neuroscience. However, the underlying mechanisms remain largely unexplored. The aim of this study was to examine the temporal evolution of experience-dependent changes in connectivity induced by repeated stimuli. We recorded event-related potentials (ERPs) during frequency changes of a repeating tone. Bayesian inversion of dynamic causal models (DCM) of ERPs revealed systematic repetition-dependent changes in both intrinsic and extrinsic connections, within a hierarchical cortical network. Critically, these changes occurred very quickly, over inter-stimulus intervals that implicate short-term synaptic plasticity. Furthermore, intrinsic (within-source) connections showed biphasic changes that were much faster than changes in extrinsic (between-source) connections, which decreased monotonically with repetition. This study shows that auditory perceptual learning is associated with repetition-dependent plasticity in the human brain. It is remarkable that distinct changes in intrinsic and extrinsic connections could be quantified so reliably and non-invasively using EEG.

Details

OriginalspracheEnglisch
Seiten (von - bis)269-279
Seitenumfang11
FachzeitschriftNeuroImage
Jahrgang48
Ausgabenummer1
PublikationsstatusVeröffentlicht - 15 Okt. 2009
Peer-Review-StatusJa
Extern publiziertJa

Externe IDs

PubMed 19540921

Schlagworte

Schlagwörter

  • Connectivity, DCM, EEG, Network, Perceptual learning

Bibliotheksschlagworte