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Structural connectivity analyses in motor recovery research after stroke
Philipp Koch1, Robert Schulz1, Friedhelm C Hummel1
1Brain Imaging and Neuro Stimulation (BINS) Laboratory Department of Neurology University Medical Center Hamburg-Eppendorf Martini str. 52 20246 Hamburg Germany.
Annals of Clinical and Translational Neurology
|April 5, 2016
Summary
Diffusion-weighted imaging reveals how stroke impacts brain networks, aiding understanding of motor function and recovery. This review updates research on structural connectivity after ischemic stroke and explores future directions.
Area of Science:
- Neuroscience
- Radiology
- Neurology
Background:
- Diffusion-weighted imaging (DWI) is crucial for understanding stroke-related brain network changes.
- Structural connectivity analyses using DWI have improved insights into motor recovery and residual function post-stroke.
Purpose of the Study:
- To review current literature on structural connectivity analyses following ischemic motor stroke.
- To provide an outlook on future research and applications in this field.
Main Methods:
- Analysis of corticospinal tract, alternate corticofugal pathways, and corticocortical connections (intra- and interhemispheric).
- Utilizing diffusion-weighted imaging techniques for structural connectivity assessment.
Main Results:
- Structural connectivity alterations are linked to residual motor function in cross-sectional studies.
- These analyses can predict functional recovery in longitudinal stroke studies.
Conclusions:
- Structural connectivity analysis is a valuable tool for understanding stroke's impact on motor networks.
- Further research can enhance prediction of motor recovery and guide therapeutic strategies.
