Abstract
Background
Diffusion tensor imaging (DTI) studies have revealed distinct white matter characteristic of brain following diseases. Beyond the lesion-symptom mapping, recent studies have demonstrate extensive structural and functional alterations of remote areas to local lesions caused by stroke in the brain. Here, we investigated the influences further from a global level by multivariate pattern analysis (MVPA) and network-based statistic (NBS).
Methods
Ten ischemic stroke patients with basal ganglia lesion and motor dysfunction and eleven demographically matched adults underwent brain Magnetic Resonance Imaging scans. DTI data was processed to obtain fractional anisotropy (FA) map and MVPA was used to explore brain regions that play an important role in classification based on FA map. White matter (WM) structural network was constructed by the deterministic fiber tracking approach according to the Automated Anatomical Labeling (AAL) atlas. NBS was used to explore differences of structural network between groups.
Results
MVPA applied to FA images correctly identified stroke patients with a statistically significant accuracy of 100% (P ≤ 0.001). Compared with the controls, the patients showed an FA reduction in the perilesional basal ganglia and brainstem, with a few in bilateral frontal lobes. Using NBS, we found the significant decreased FA-weighted WM subnetwork in stroke patients.
Conclusions
We identified some patterns of WM degeneration in the affected brain areas remote from the ischemic lesion, revealed the abnormal topological organization of WM network in stroke patients, which may be helpful for understanding of the neural mechanism of stroke sequela.