Path analysis: A method to estimate altered pathways in time-varying graphs of neuroimaging data.

ABSTRACT: Graph-theoretical methods have been widely used to study human brain networks in psychiatric disorders. However, the focus has primarily been on global graphic metrics with little attention to the information contained in paths connecting brain regions. Details of disruption of these paths may be highly informative for understanding disease mechanisms. To detect the absence or addition of multistep paths in the patient group, we provide an algorithm estimating edges that contribute to these paths with reference to the control group. We next examine where pairs of nodes were connected through paths in both groups by using a covariance decomposition method. We apply our method to study resting-state fMRI data in schizophrenia versus controls. Results show several disconnectors in schizophren

SUBMITTER: Falakshahi H 

PROVIDER: S-EPMC9531579 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature