Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/18801
Title: A structural motor network correlates with motor function and not impairment post stroke.
Authors: Peters, Sue;Wadden, Katie P;Hayward, Kathryn S;Neva, Jason L;Auriat, Angela M;Boyd, Lara A
Affiliation: University of British Columbia, Faculty of Medicine, Department of Physical Therapy, Vancouver, BC, Canada
Stroke Division, The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Heidelberg, Victoria, Australia
NHMRC Centre of Research Excellence in Stroke Rehabilitation and Brain Recovery, Australia
Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
Issue Date: 29-Sep-2017
EDate: 2017-09-29
Citation: Neuroscience letters 2017; 658: 155-160
Abstract: Combining structural and functional magnetic resonance imaging may provide insight into how residual motor networks contribute to motor outcomes post-stroke. The purpose of this study was to examine whether a structural motor network (SMN), generated with fMRI guided diffusion-based tractography, relates to motor function post-stroke. Twenty-seven individuals with mild to moderate upper limb impairment post stroke underwent diffusion magnetic resonance imaging. A bilateral motor network mask guided white matter tractography for each participant. Fractional anisotrophy (FA) was calculated for the SMN and corticospinal tracts (CST). The Wolf Motor Function Test (WMFT) rate and Fugl-Meyer Upper Limb (FM) tests characterized arm function and impairment respectively. The SMN and ipsilesional CST together explained approximately 35% of the variance in paretic arm function (WMFT-rate p=0.006). This study demonstrates that a broader motor network, like the SMN, is functionally meaningful. Given that the motor network is widely distributed, the proposed SMN warrants further investigation as a potential adjunct biomarker to characterize recovery potential after stroke.
URI: http://ahro.austin.org.au/austinjspui/handle/1/18801
DOI: 10.1016/j.neulet.2017.08.036
PubMed URL: 28830824
Type: Journal Article
Subjects: Impairment
Multimodal
Neuroimaging
Plasticity
Structure
Appears in Collections:Journal articles

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