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Abstract #2946

Surface-based Cortical Network Analysis in Post-Stroke Dementia with Subcortical lesions

Wenwen Li1, Huaying Cai2, Linhui Ni2, Guocan Han2, Zhiyong Zhao1, and Dan Wu1
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Department of radiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China


This study aimed to investigate alterations of cortical network in post-stroke dementia (PSD) patients with subcortical lesions using a surface-based morphometry analysis. We calculated nine cortical morphometric metrics and constructed the structural covariate network for each participant. Comparisons between groups showed that PSD and post-stroke nondemented (PSND) groups both displayed an increased local efficiency and a similar global efficiency compared with the normal controls group, and the cortical network in three groups all remained a small-world property. Moreover, we found PSD-specific decreases in gray matter volume and surface area in lateral occipital cortex and middle temporal gyrus.

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