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Diffusion tensor-based morphometry (DTBM) detects white matter volume loss in the corticospinal tract (CST) after stroke. This DTBM marker correlates with arm motor recovery, aiding in predicting stroke outcomes.

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Area of Science:

  • Neuroimaging
  • Stroke Recovery
  • White Matter Integrity

Background:

  • Conventional T1-based TBM has limitations in assessing white matter volumetric changes.
  • Diffusion tensor-based morphometry (DTBM) offers enhanced accuracy for volumetric assessment.

Purpose of the Study:

  • To evaluate DTBM's ability to detect corticospinal tract (CST) volume loss post-stroke.
  • To determine the association between CST volume loss and impaired stroke recovery.

Main Methods:

  • Retrospective analysis of MRI scans from acute ischemic stroke patients with arm impairment.
  • Calculation of fractional anisotropy change (delta FA) and DTBM log of the Jacobian (LnJ) maps.
  • Voxel-wise analysis correlating delta FA and LnJ with NIHSS arm motor recovery scores.

Main Results:

  • DTBM identified significant correlations between white matter volume changes and arm motor recovery.
  • Regions of interest included the corona radiata, internal capsule, and pons.
  • Poor recovery groups showed diffuse delta FA changes and focal LnJ changes in the CST.

Conclusions:

  • DTBM effectively detects focal CST volume loss post-stroke, likely due to Wallerian degeneration.
  • Volumetric changes measured by DTBM complement FA in characterizing white matter loss.
  • DTBM shows strong correlations with motor recovery, useful for outcome prediction.