Genetic, individual, and familial risk correlates of brain network controllability in major depressive disorder.

ABSTRACT: Many therapeutic interventions in psychiatry can be viewed as attempts to influence the brain's large-scale, dynamic network state transitions. Building on connectome-based graph analysis and control theory, Network Control Theory is emerging as a powerful tool to quantify network controllability-i.e., the influence of one brain region over others regarding dynamic network state transitions. If and how network controllability is related to mental health remains elusive. Here, from Diffusion Tensor Imaging data, we inferred structural connectivity and inferred calculated network controllability parameters to investigate their association with genetic and familial risk in patients diagnosed with major depressive disorder (MDD, n = 692) and healthy controls (n = 820). First, we establish that

SUBMITTER: Hahn T 

PROVIDER: S-EPMC10005934 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature