title: Multilevel Dynamic Generalized Structured Component Analysis for Brain Connectivity Analysis in Functional Neuroimaging Data.
abstract: We extend dynamic generalized structured component analysis (GSCA) to enhance its data-analytic capability in structural equation modeling of multi-subject time series data. Time series data of multiple subjects are typically hierarchically structured, where time points are nested within subjects who are in turn nested within a group. The proposed approach, named multilevel dynamic GSCA, accommodates the nested structure in time series data. Explicitly taking the nested structure into account, the proposed method allows investigating subject-wise variability of the loadings and path coefficients by looking at the variance estimates of the corresponding random effects, as well as fixed loadings between observed and latent variables and fixed path coefficients between latent variables. We demonstrate the effectiveness of the proposed approach by applying the method to the multi-subject functional neuroimaging data for brain connectivity analysis, where time series data-level measurements are nested within subjects.
authors.affiliation: Department of Pediatrics, Children's Learning Institute, The University of Texas Health Science Center at Houston, 7000 Fannin UCT 2373J, Houston, TX, 77030 , USA. kwanghee.jung@uth.tmc.edu.
authors.forename: Kwanghee
authors.initials: K
authors.lastname: Jung
authors.affiliation: University of Victoria, Victoria, Canada.
authors.forename: Yoshio
authors.initials: Y
authors.lastname: Takane
authors.affiliation: McGill University, Montreal, Canada.
authors.forename: Heungsun
authors.initials: H
authors.lastname: Hwang
authors.affiliation: University of British Columbia, Vancouver, Canada.
authors.forename: Todd S
authors.initials: TS
authors.lastname: Woodward
mesh_terms: D001921:Brain / Q000502:physiology / Q000503:physiopathology*; D016022:Case-Control Studies; D059907:Functional Neuroimaging; D006801:Humans; D016018:Least-Squares Analysis; D008279:Magnetic Resonance Imaging; D008570:Memory, Short-Term / Q000502:physiology*; D055361:Multilevel Analysis; D025341:Principal Component Analysis; D012559:Schizophrenia / Q000503:physiopathology*; D013223:Statistics as Topic
keywords: alternating least squares (ALS) algorithm; brain connectivity analysis; functional neuroimaging; generalized structured component analysis; multi-subject data; multilevel analysis; structural equation modeling; time series data