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How useful is imaging in predicting outcomes in stroke rehabilitation?
MedLine Citation:
PMID:  23280267     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Neuroimaging plays an important role in acute stroke diagnosis and management, but it is not routinely used in rehabilitation settings. Incorporating imaging information in rehabilitation planning may eventually translate to better outcomes after stroke. Here we review the prediction of outcomes after stroke using magnetic resonance imaging. There are clear and specific relationships between the anatomy of the stroke lesion and impairments at the time of scanning, and at later time points in recovery. However, most studies demonstrate these relationships in groups of patients at the chronic stage. In order to be useful for rehabilitation, neuroimaging needs to provide prognostic information for individual patients at a much earlier stage. Recent studies have used diffusion tensor imaging and functional neuroimaging to address this, with promising results. Combining neuroimaging with clinical and neurophysiological assessments may also be useful. Future work in this area may support the tailoring of rehabilitation for individual patients based on their capacity for neural reorganization and recovery.
Authors:
Cathy M Stinear; Nick S Ward
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  International journal of stroke : official journal of the International Stroke Society     Volume:  8     ISSN:  1747-4949     ISO Abbreviation:  Int J Stroke     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-01-02     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101274068     Medline TA:  Int J Stroke     Country:  England    
Other Details:
Languages:  eng     Pagination:  33-7     Citation Subset:  IM    
Copyright Information:
© 2012 The Authors. International Journal of Stroke © 2012 World Stroke Organization.
Affiliation:
Department of Medicine, The University of Auckland, Auckland, New Zealand; Centre for Brain Research, The University of Auckland, Auckland, New Zealand.
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