Volz, L. J. and Grefkes, C. (2013). Neurophysiological and Neuroimaging Predictors of Functional Recovery after Stroke. Klin. Neurophysiol., 44 (4). S. 238 - 247. STUTTGART: GEORG THIEME VERLAG KG. ISSN 1439-4081
Full text not available from this repository.Abstract
Recovery of function after stroke is strongly driven by the reorganization of neural networks. These processes can be investigated in-vivo in patients by means of non-invasive brain mapping techniques. Especially approaches like magnetic resonance imaging (MRI) and transcranial magnetic stimulation (TMS) enable insights into how changes in neural networks relate to functional recovery. We here review recent structural and functional MRI as well as TMS studies on the neural mechanisms underlying motor recovery after stroke. Furthermore, we demonstrate how these techniques can be used to predict the potential for recovery in patients. In the future, the combination of MRI and TMS might help to individualize rehabilitative treatments in patients according to specific disturbances in brain structure and activity in order to improve the final outcome.
| Item Type: | Journal Article | ||||||||||||
| Creators: |
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| URN: | urn:nbn:de:hbz:38-471562 | ||||||||||||
| DOI: | 10.1055/s-0033-1357207 | ||||||||||||
| Journal or Publication Title: | Klin. Neurophysiol. | ||||||||||||
| Volume: | 44 | ||||||||||||
| Number: | 4 | ||||||||||||
| Page Range: | S. 238 - 247 | ||||||||||||
| Date: | 2013 | ||||||||||||
| Publisher: | GEORG THIEME VERLAG KG | ||||||||||||
| Place of Publication: | STUTTGART | ||||||||||||
| ISSN: | 1439-4081 | ||||||||||||
| Language: | German | ||||||||||||
| Faculty: | Unspecified | ||||||||||||
| Divisions: | Unspecified | ||||||||||||
| Subjects: | no entry | ||||||||||||
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| URI: | http://kups.ub.uni-koeln.de/id/eprint/47156 |
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