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Related Experiment Video

Updated: Jan 28, 2026

Measurements of Motor Function and Other Clinical Outcome Parameters in Ambulant Children with Duchenne Muscular Dystrophy
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Predicting Motor Outcomes in Stroke Patients Using Diffusion Spectrum MRI Microstructural Measures.

Kyler Hodgson1, Ganesh Adluru1,2, Lorie G Richards3

  • 1Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.

Frontiers in Neurology
|March 6, 2019
PubMed
Summary
This summary is machine-generated.

New neuroimaging methods predict stroke recovery. Baseline interhemispheric differences in the posterior limb of the internal capsule (PLIC) using the neurite orientation dispersion and density imaging (NODDI) model correlate strongly with upper extremity motor function outcomes after ischemic stroke.

Keywords:
DSIDTIFugl-MeyerMRINODDIdiffusionmotorstroke

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Area of Science:

  • Neuroimaging
  • Stroke recovery research
  • Neurology

Background:

  • Predicting motor improvement after ischemic stroke is crucial for effective therapy.
  • The posterior limb of the internal capsule (PLIC) is vital for motor signaling.
  • Current neuroimaging methods require enhancement for accurate prognosis.

Purpose of the Study:

  • To develop novel image-based prognostic methods for stroke recovery.
  • To investigate interhemispheric differences in the PLIC for predicting motor outcomes.
  • To evaluate advanced diffusion imaging models beyond traditional DTI.

Main Methods:

  • Collected baseline diffusion MRI data (DTI and DSI) from 9 acute ischemic stroke patients and 9 healthy controls.
  • Calculated PLIC asymmetries using mean and Kullback-Leibler divergence for DTI and DSI measures.
  • Assessed upper extremity Fugl-Meyer (FM) scores at 5-week follow-up.

Main Results:

  • Baseline PLIC asymmetry measures from the neurite orientation dispersion and density imaging (NODDI) model showed a strong correlation (r² = 0.83) with upper extremity FM scores.
  • Diffusion spectrum imaging (DSI) and the NODDI orientation dispersion index demonstrated higher predictive power than DTI measures.
  • Interhemispheric differences in the PLIC, specifically the NODDI orientation dispersion index, are highly predictive of functional outcomes.

Conclusions:

  • Interhemispheric PLIC asymmetry calculated using the NODDI orientation dispersion index is a promising biomarker for predicting upper extremity motor recovery post-stroke.
  • Advanced diffusion imaging techniques like DSI and NODDI offer superior insights into white matter changes and stroke recovery compared to DTI.
  • These findings may lead to improved image-based prediction of motor outcomes for middle cerebral artery ischemic stroke patients.