Dynamic cortical involvement in implicit anticipation during statistical learning

Mario Altamura, Frederick W. Carver, Brita Elvevåg, Daniel R. Weinberger, Richard Coppola

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The prediction of future events is fundamental in a large number of critical neurobehavioral contexts including implicit motor learning. This learning process relies on the probabilities with which events occur, and is a dynamic phenomenon. The aim of present study was to investigate the development of anticipatory processes during implicit learning. A decision making task was employed in which the frequency of trial types was manipulated such that one trial type was disproportionately prevalent as compared to the remaining three trial types. A 275 channel whole-head magnetoencephalography (MEG) system was used to investigate the spatiotemporal distribution of event-related desynchronization (ERD) and synchronization (ERS). The results revealed that oscillations within the alpha (10-12. Hz) and beta (14-30. Hz) frequencies were associated with anticipatory processes in distinct networks in the course of learning. During early phases of learning the contralateral motor cortex, the anterior cingulate, the caudate and the inferior frontal gyrus showed ERDs within beta and alpha frequencies, putatively reflecting preparation of next motor response. As the task progressed, alpha ERSs in occipitotemporal regions and putamen likely reflect perceptual anticipation of the forthcoming stimuli.

Original languageEnglish (US)
Pages (from-to)73-77
Number of pages5
JournalNeuroscience Letters
Volume558
DOIs
StatePublished - Jan 13 2014

Keywords

  • Anticipatory processes
  • Electroencephalography
  • Implicit learning
  • Motor anticipation
  • Perceptual anticipation

ASJC Scopus subject areas

  • General Neuroscience

Fingerprint

Dive into the research topics of 'Dynamic cortical involvement in implicit anticipation during statistical learning'. Together they form a unique fingerprint.

Cite this