Brain Connectivity Plasticity in the Motor Network after Ischemic StrokeReport as inadecuate




Brain Connectivity Plasticity in the Motor Network after Ischemic Stroke - Download this document for free, or read online. Document in PDF available to download.

Neural PlasticityVolume 2013 2013, Article ID 924192, 11 pages

Review Article

Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China

School of Medical Imaging, Tianjin Medical University, Tianjin 300070, China

Received 4 March 2013; Accepted 7 April 2013

Academic Editor: Hao Lei

Copyright © 2013 Lin Jiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The motor function is controlled by the motor system that comprises a series of cortical and subcortical areas interacting via anatomical connections. The motor function will be disturbed when the stroke lesion impairs either any of these areas or their connections. More and more evidence indicates that the reorganization of the motor network including both areas and their anatomical and functional connectivity might contribute to the motor recovery after stroke. Here, we review recent studies employing models of anatomical, functional, and effective connectivity on neuroimaging data to investigate how ischemic stroke influences the connectivity of motor areas and how changes in connectivity relate to impaired function and functional recovery. We suggest that connectivity changes constitute an important pathophysiological aspect of motor impairment after stroke and important mechanisms of motor recovery. We also demonstrate that therapeutic interventions may facilitate motor recovery after stroke by modulating the connectivity among the motor areas. In conclusion, connectivity analyses improved our understanding of the mechanisms of motor recovery after stroke and may help to design hypothesis-driven treatment strategies and sensitive measures for outcome prediction in stroke patients.





Author: Lin Jiang, Huijuan Xu, and Chunshui Yu

Source: https://www.hindawi.com/



DOWNLOAD PDF




Related documents