Abstract #3035

Increased Local Specialization of Structural Networks Revealed by Probabilistic Diffusion Tractography in Cerebral Small Vessel Disease

Mengmeng Feng¹, Wen Hongwei^2,3, Xin Haotian¹, Shengpei Wang^4,5, Chaofan Sui⁶, Yian Gao⁶, Changhu Liang^1,6, and Lingfei Guo^1,6

¹Shandong Provincial Hospital, Shandong University, Jinan, China, ²Key Laboratory of Cognition and Personality (Ministry of Education), Chongqing, China, ³School of Psychology, Southwest University, Chongqing, China, ⁴Research Center for Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China, ⁵University of Chinese Academy of Sciences, Beijing, China, ⁶Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China

Synopsis

Keywords: White Matter, Diffusion Tensor ImagingWe used probabilistic diffusion tractography and graph theory based on DTI to investigate the topologic organization of white matter (WM) structural networks in 54 patients with severe CSVD burden (CSVD-s), 117 patients with mild CSVD burden (CSVD-m) and 73 healthy controls. Compared with CSVD-m patients and controls, CSVD-s patients exhibited significantly increased local efficiency, normalized clustering coefficient and small world index, with partially reorganized hub distributions. In addition, the CSVD-s patients showed significantly increased nodal efficiency in some brain regions. Intriguingly, the significant correlation between node efficiency and cognitive parameters existed in CSVD-m and control groups.

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