Relevance of structural brain connectivity to learning and recovery from stroke.
Scientific Abstract
The physical structure of white matter fiber bundles constrains their function. Any behavior that relies on transmission of signals along a particular pathway will therefore be influenced by the structural condition of that pathway. Diffusion-weighted magnetic resonance imaging provides localized measures that are sensitive to white matter microstructure. In this review, we discuss imaging evidence on the relevance of white matter microstructure to behavior. We focus in particular on motor behavior and learning in healthy individuals and in individuals who have suffered a stroke. We provide examples of ways in which imaging measures of structural brain connectivity can inform our study of motor behavior and effects of motor training in three different domains: (1) to assess network degeneration or damage with healthy aging and following stroke, (2) to identify a structural basis for individual differences in behavioral responses, and (3) to test for dynamic changes in structural connectivity with learning or recovery.
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Relevance of structural brain connectivity to learning and recovery from stroke.
Scientific Abstract
The physical structure of white matter fiber bundles constrains their function. Any behavior that relies on transmission of signals along a particular pathway will therefore be influenced by the structural condition of that pathway. Diffusion-weighted magnetic resonance imaging provides localized measures that are sensitive to white matter microstructure. In this review, we discuss imaging evidence on the relevance of white matter microstructure to behavior. We focus in particular on motor behavior and learning in healthy individuals and in individuals who have suffered a stroke. We provide examples of ways in which imaging measures of structural brain connectivity can inform our study of motor behavior and effects of motor training in three different domains: (1) to assess network degeneration or damage with healthy aging and following stroke, (2) to identify a structural basis for individual differences in behavioral responses, and (3) to test for dynamic changes in structural connectivity with learning or recovery.
Citation
2010. Front Syst Neurosci, 4:146.
DOI
10.3389/fnsys.2010.00146
Free Full Text at Europe PMC
PMC2990506Downloads
Similar content
News
Dr Jeffrey Stedehouder awarded Cambridge NeuroWorks Blue Sky Proof-of-Concept Award
16 September 2026
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MRC CoRE in RND Output
Distinct In Vivo Electrophysiological Profiles of Mediodorsal Thalamus Subdivisions
Paper
MRC CoRE in RND Output
Modulation of motor cortical theta and gamma oscillations using phase-targeted, closed-loop optogenetic stimulation of local excitatory and inhibitory neurons.
2026. Brain Stimul, 19(2):103034.
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