Structural connectivity-based predictors of cognitive impairment in stroke patients attributable to aging.

ABSTRACT: Despite the rising global burden of stroke and its socio-economic implications, the neuroimaging predictors of subsequent cognitive impairment are still poorly understood. We address this issue by studying the relationship of white matter integrity assessed within ten days after stroke and patients' cognitive status one year after the attack. Using diffusion-weighted imaging, we apply the Tract-Based Spatial Statistics analysis and construct individual structural connectivity matrices by employing deterministic tractography. We further quantify the graph-theoretical properties of individual networks. The Tract-Based Spatial Statistic did identify lower fractional anisotropy as a predictor of cognitive status, although this effect was mostly attributable to the age-related white matter inte

SUBMITTER: Buckova BR 

PROVIDER: S-EPMC10104329 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature