Abstract #1662

Disrupted Small-World Networks in Major Depressed Patients with Suicidality

Huiru Li¹, Huawei Zhang¹, Li Yin², Zhiyun Jia³, and Qiyong Gong¹

¹Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, ²Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China, ³Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China

In this study, we investigated depressed suicidal brain from the level of network connection. We constructed brain structural networks using diffusion tensor imaging. Then all graph theoretical network parameters including small-world parameters (C_p, L_p, γ, λ and σ), network efficiency parameters (E_loc and E_glob) and nodal efficiency were analyzed. We found decreased E_loc/E_glob/C_p, increased L_p/λ and decreased nodal efficiency in fronto-striatal-limbic-thalamic circuit in depressed suicidal patients. In summary, suicidality involves complex neocortical network organization, which showed a weaker integration and disrupted fronto-striatal-limbic-thalamic circuit.

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