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A structural motor network correlates with motor function and not impairment post stroke.

Sue Peters1, Katie P Wadden1, Kathryn S Hayward2

  • 1University of British Columbia, Faculty of Medicine, Department of Physical Therapy, 212-2177 Wesbrook Mall, Vancouver, BC, V6T 1Z3, Canada.

Neuroscience Letters
|August 24, 2017
PubMed
Summary
This summary is machine-generated.

A novel structural motor network (SMN) derived from MRI scans shows promise for predicting arm function recovery after stroke. This broader network, alongside the corticospinal tract, offers insights into post-stroke motor rehabilitation potential.

Keywords:
ImpairmentMultimodalNeuroimagingPlasticityStructure

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Area of Science:

  • Neuroscience
  • Radiology
  • Rehabilitation Medicine

Background:

  • Stroke often results in motor impairments due to damage to motor networks.
  • Understanding residual motor network function is crucial for predicting motor recovery.
  • Current imaging methods may not fully capture the distributed nature of motor networks post-stroke.

Purpose of the Study:

  • To investigate the relationship between a structural motor network (SMN), created using fMRI-guided tractography, and motor function after stroke.
  • To determine if this SMN can serve as a biomarker for motor recovery potential.

Main Methods:

  • Diffusion MRI was used in 27 individuals with mild to moderate upper limb impairment post-stroke.
  • A bilateral motor network mask guided white matter tractography.
  • Fractional anisotropy (FA) was calculated for the SMN and corticospinal tracts (CST).
  • Motor function was assessed using the Wolf Motor Function Test (WMFT) and Fugl-Meyer Upper Limb (FM) tests.

Main Results:

  • The SMN and ipsilesional CST together accounted for approximately 35% of the variance in paretic arm function (WMFT-rate, p=0.006).
  • This indicates that a more broadly defined motor network has functional significance.

Conclusions:

  • The study demonstrates the functional relevance of a broader structural motor network (SMN) in post-stroke motor function.
  • The proposed SMN is a potential adjunct biomarker for characterizing stroke recovery potential.
  • Further investigation into the SMN is warranted due to its distributed nature and correlation with motor outcomes.