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Abstract #0231

Reduced Local Segregation in Single-Subject Grey Matter Networks in Adult PTSD

Running Niu1, Du Lei2, and Qiyong Gong3

1HMRRC, West China Hospital, Chengdu, China, China, 2Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom, London, United Kingdom, 3uaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan, Chengdu, China

The present study investigated graph properties of single-subject grey matter networks in PTSD using a new method proposed by Tijms and colleagues to statistically describe gray matter networks in individual subjects using T1-weighted MRI scans. Compared with trauma exposed controls, global topology of single-subject grey matter networks of PTSD was characterized by decreased clustering coefficient and local efficiency. The reduced segregation in grey matter network and its negative relation with increased segregation in the functional network may be important for understanding the nature of the brain network disorganization associated with PTSD and facilitate clinical diagnosis in patients with suspected PTSD

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