Aberrant Brain Connectivity in Schizophrenia Detected via a Fast Gaussian Graphical Model.

ABSTRACT: Schizophrenia (SZ) is a chronic and severe mental disorder that affects how a person thinks, feels, and behaves. It has been proposed that this disorder is related to disrupted brain connectivity, which has been verified by many studies. With the development of functional magnetic resonance imaging (fMRI), further exploration of brain connectivity was made possible. Region-based networks are commonly used for mapping brain connectivity. However, they fail to illustrate the connectivity within regions of interest (ROIs) and lose precise location information. Voxel-based networks provide higher precision, but are difficult to construct and interpret due to the high dimensionality of the data. In this paper, we adopt a novel high-dimensional Gaussian graphical model - ψ-learning method, which

SUBMITTER: Zhang A 

PROVIDER: S-EPMC6706058 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature