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Changes of cortico-striatal effective connectivity during visuomotor learning.
Full Abstract
It has been suggested that the cortico-striatal system might play a crucial role in learning behavioural plans of action. We have tested this hypothesis by studying the dynamics of functional coupling among the neural elements of cortico-striatal circuitry. Human cerebral activity was measured with functional magnetic resonance imaging (fMRI) during the learning of an associative visuomotor task. Structural equation modelling of regional fMRI time-series was used to characterize learning-related changes in effective connectivity. We report that learning to associate visual instructions with motor responses significantly altered cortico-striatal functional couplings. Specific learning-related increases of effective connectivity were found in temporo-striatal and fronto-striatal circuits. Connectivity among portions of the frontal cortex decreased as a function of learning. Temporo-frontal and parieto-frontal couplings were not altered during learning. We infer that novel visuomotor associations are established through the enhancement of specific cortico-striatal circuits, rather than through the alteration of direct temporo-frontal or parieto-frontal connectivity.
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Author information
Author/s: Toni, Ivan (I); Rowe, James (J); Stephan, Klaas E (KE); Passingham, Richard E (RE);
Affiliation: F.C. Donders Centre for Cognitive Neuroimaging, University of Nijmegen, NL-6500 HB Nijmegen, The Netherlands. ivan.toni(-atsign-)fcdonders.kun.nl
Journal and publication information
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal: Cerebral cortex (New York, N.Y. : 1991) (Cereb Cortex), published in United States. (Language: eng)
Reference: 2002-Oct; vol 12 (issue 10) : pp 1040-7
Dates: Created 2002/09/09; Completed 2002/11/15; Revised 2006/11/15;
PMID: 12217967, status: MEDLINE (last retrieval date: 11/6/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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