Comparison of multi-tensor diffusion models' performance for white matter integrity estimation in chronic stroke

Olena G. Filatova, Lucas J. van Vliet, Alfred C. Schouten, Gert Kwakkel, Frans C.T. van der Helm, Frans M. Vos*, Jan de Munck, Carel Meskers, Mique Saes, Luuk Haring, Caroline Winters, Aukje Andringa, Dirk Hoevenaars, Ines de Castro Fernandes, Sarah Zandvliet, Andreas Daffertshofer, Erwin van Wegen, Jun Yao, Julius Dewald, Teodoro Solis-EscalanteYuan Yang, Mark van de Ruit, Martijn Vlaar, Konstantina Kalogianni, on behalf of the 4D EEG Consortium

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Better insight into white matter (WM) alterations after stroke onset could help to understand the underlying recovery mechanisms and improve future interventions. MR diffusion imaging enables to assess such changes. Our goal was to investigate the relation of WM diffusion characteristics derived from diffusion models of increasing complexity with the motor function of the upper limb. Moreover, we aimed to evaluate the variation of such characteristics across different WM structures of chronic stroke patients in comparison to healthy subjects. Subjects were scanned with a two b-value diffusion-weighted MRI protocol to exploit multiple diffusion models: single tensor, single tensor with isotropic compartment, bi-tensor model, bi-tensor with isotropic compartment. From each model we derived the mean tract fractional anisotropy (FA), mean (MD), radial (RD) and axial (AD) diffusivities outside the lesion site based on a WM tracts atlas. Asymmetry of these measures was correlated with the Fugl-Meyer upper extremity assessment (FMA) score and compared between patient and control groups. Eighteen chronic stroke patients and eight age-matched healthy individuals participated in the study. Significant correlation of the outcome measures with the clinical scores of stroke recovery was found. The lowest correlation of the corticospinal tract FAasymmetry and FMA was with the single tensor model (r = -0.3, p = 0.2) whereas the other models reported results in the range of r = -0.79 ÷ -0.81 and p = 4E-5 ÷ 8E-5. The corticospinal tract and superior longitudinal fasciculus showed most alterations in our patient group relative to controls. Multiple compartment models yielded superior correlation of the diffusion measures and FMA compared to the single tensor model.

Original languageEnglish
Article number247
Pages (from-to)247
JournalFrontiers in Neuroscience
Volume12
Issue numberAPR
DOIs
Publication statusPublished - 23 Apr 2018

Cite this

Filatova, O. G., van Vliet, L. J., Schouten, A. C., Kwakkel, G., van der Helm, F. C. T., Vos, F. M., ... on behalf of the 4D EEG Consortium (2018). Comparison of multi-tensor diffusion models' performance for white matter integrity estimation in chronic stroke. Frontiers in Neuroscience, 12(APR), 247. [247]. https://doi.org/10.3389/fnins.2018.00247