Identification of common neural substrates with connectomic abnormalities in four major psychiatric disorders: A connectome-wide association study.

ABSTRACT:

Background

Recent imaging studies of large datasets suggested that psychiatric disorders have common biological substrates. This study aimed to identify all the common neural substrates with connectomic abnormalities across four major psychiatric disorders by using the data-driven connectome-wide association method of multivariate distance matrix regression (MDMR).

Methods

This study analyzed a resting functional magnetic resonance imaging dataset of 100 patients with schizophrenia, 100 patients with bipolar I disorder, 100 patients with bipolar II disorder, 100 patients with major depressive disorder, and 100 healthy controls (HCs). We calculated a voxel-wise 4,330 × 4,330 matrix of whole-brain functional connectivity (FC) with 8-mm isotropic resolution for each participant

SUBMITTER: Tu PC 

PROVIDER: S-EPMC8057470 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature