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Related Experiment Videos

Comparison of Multi-Tensor Diffusion Models' Performance for White Matter Integrity Estimation in Chronic Stroke.

Olena G Filatova1,2, Lucas J van Vliet2, Alfred C Schouten1,3

  • 1Department of Biomechanical Engineering, Delft University of Technology, Delft, Netherlands.

Frontiers in Neuroscience
|May 10, 2018
PubMed
Summary

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Advanced MRI diffusion models reveal white matter changes after stroke, correlating better with upper limb motor function recovery than simpler models. This offers improved insights for stroke rehabilitation strategies.

Area of Science:

  • Neuroimaging
  • Neurorehabilitation
  • Diffusion MRI

Background:

  • Understanding white matter (WM) alterations post-stroke is crucial for improving recovery mechanisms and interventions.
  • Magnetic Resonance (MR) diffusion imaging is a key technique for assessing these WM changes.

Purpose of the Study:

  • To investigate the relationship between WM diffusion characteristics, derived from diffusion models of increasing complexity, and upper limb motor function.
  • To evaluate variations in WM diffusion characteristics across different WM structures in chronic stroke patients compared to healthy controls.

Main Methods:

  • Utilized a two b-value diffusion-weighted MRI protocol to analyze multiple diffusion models: single tensor, single tensor with isotropic compartment, bi-tensor, and bi-tensor with isotropic compartment.
Keywords:
anatomic lateralizationbraindiffusion MRIdiffusion tensor imaging/methodsmotor performancerehabilitation outcomesstroke

Related Experiment Videos

  • Derived mean tract fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) outside the lesion site using a WM tracts atlas.
  • Correlated the asymmetry of these diffusion measures with the Fugl-Meyer upper extremity (FMA) assessment score and compared between stroke patients and healthy controls.

    • Main Results:

    • Multiple compartment diffusion models demonstrated a significantly stronger correlation with FMA scores (r = -0.79 to -0.81) compared to the single tensor model (r = -0.3).
    • The corticospinal tract and superior longitudinal fasciculus showed the most pronounced WM alterations in chronic stroke patients relative to controls.
    • Significant correlations were found between diffusion outcome measures and clinical scores of stroke recovery.

    Conclusions:

    • Multiple compartment diffusion models provide superior correlation with upper limb motor function (FMA) in chronic stroke patients compared to the single tensor model.
    • Diffusion imaging metrics, particularly from advanced models, can effectively characterize white matter changes related to motor recovery after stroke.
    • Findings highlight the potential of complex diffusion models for understanding stroke pathophysiology and guiding rehabilitation strategies.