Cortical thickness analyses have provided valuable insights into changes in cortical brain structure after stroke and their association with recovery. Across studies though, relationships between cortical structure and function show inconsistent results. Recent developments in diffusion-weighted imaging of the cortex have paved the way to uncover hidden aspects of stroke-related alterations in cortical microstructure, going beyond cortical thickness as a surrogate for cortical macrostructure. Animal data obtained in rats and monkeys have evidenced that contralesional motor areas undergo degenerative alterations in their microstructure which are accompanied by compensatory changes as well. We hypothesized that cortical diffusion imaging can detect similar changes in human stroke survivors. We re-analysed clinical and imaging data of 42 well-recovered chronic stroke patients from two independent cohorts (mean age 64 years, 4 left-handed, 71% male, 16 right-sided strokes) and 33 healthy controls of similar age and gender. Cortical fractional anisotropy, axial diffusivity, radial diffusivity and cortical thickness values were obtained for six key sensorimotor areas of the contralesional hemisphere. The regions included the primary motor cortex, dorsal and ventral premotor cortex, supplementary and pre-supplementary motor areas and primary somatosensory cortex. Linear models were estimated for group comparisons between patients and controls and for correlations between cortical fractional anisotropy, axial diffusivity, radial diffusivity and cortical thickness and clinical scores. Against our hypothesis, we did not find any significant alterations in contralesional cortical microstructure after stroke. Likewise, we did not detect any correlations between cortical microstructure and behavioural scores. Future analyses are warranted to investigate whether such alterations might occur in different populations, e.g. in later stages of recovery, in more severely impaired patients, or only in the ipsilesional hemisphere in patients with specific lesion patterns.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11771308PMC
http://dx.doi.org/10.1093/braincomms/fcae115DOI Listing

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