Diffusional kurtosis and diffusion tensor imaging reveal different time-sensitive stroke-induced microstructural changes.

Stroke

From the Department of Neurosciences (R.A.W., M.F.F., J.A.H., D.L.A.), Center for Biomedical Imaging (J.H.J., X.N., M.F.F., J.A.H., D.L.A.), Department of Radiology and Radiological Science (J.H.J., X.N., M.F.F., J.A.H.), and Health Sciences and Research, College of Health Professions (D.L.A.), Medical University of South Carolina, Charleston; and Department of Diagnostic Radiology, University of Hong Kong, Pokfulam, Hong Kong (E.S.H.).

Published: February 2015

Background And Purpose: Diffusion MRI is a promising, clinically feasible imaging technique commonly used to describe white matter changes after stroke. We investigated the sensitivity of diffusion MRI to detect microstructural alterations in gray matter after sensorimotor cortex stroke in adult male rats.

Methods: The mean diffusivity (MD) and mean kurtosis of perilesional motor cortex were compared with measures in the contralesional forelimb area of sensorimotor cortex at 2 hours, 24 hours, 72 hours, or 25 days after surgery. MD and mean kurtosis were correlated to the surface densities of glia, dendrites, and axons.

Results: Perilesional mean kurtosis was increased at 72 hours and 25 days after stroke, whereas MD was no longer different from contralesional sensorimotor cortex at 24 hours after stroke. There was a significant increase in the density of glial processes at 72 hours after stroke in perilesional motor cortex, which correlated with perilesional MD.

Conclusions: These data support that mean kurtosis and MD provide different but complimentary information on acute and chronic changes in perilesional cortex. Glia infiltration is associated with pseudonormalization of MD in the perilesional motor cortex at 72 hours after lesion; however, this association is absent 25 days after lesion. These data suggest that there are likely several different, time-specific microstructural changes underlying these 2 complimentary diffusion measures.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4418934PMC
http://dx.doi.org/10.1161/STROKEAHA.114.006782DOI Listing

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