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

Synopsis

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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