In this study, we explore suicidal brain of depression from the level of network connection to capture the complex connectivity alterations of gray matter networks that support higher cognitive and affective processes. We constructed single-subject morphological brain gray matter networks and small-world parameters (Cp, Lp, γ, λ and σ), network efficiency parameters (Eloc and Eglob) and nodal properties (nodal degree, efficiency and centrality). We found decreased σ/Eglob and increased Lp/λ in SU compared to PC and HC. In summary, suicidality involves complex neocortical network organization and showed a weaker integration compared PC and HC.
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