Group Integrative Dynamic Factor Models With Application to Multiple Subject Brain Connectivity

• Published in: Biometrical journal Vol. 66; no. 8; pp. e202300370 - n/a
• Main Authors: Kim, Younghoon, Fisher, Zachary F., Pipiras, Vladas
• Format: Journal Article
• Language: English
• Published: Germany Wiley - VCH Verlag GmbH & Co. KGaA 01.12.2024
• Subjects: Algorithms; Autism; Autism Spectrum Disorder - diagnostic imaging; Autism Spectrum Disorder - physiopathology; Biometry - methods; Brain - diagnostic imaging; dynamic factor model; fMRI; Functional magnetic resonance imaging; Group dynamics; group‐level analysis; high‐dimensional time series; Humans; Magnetic Resonance Imaging; Models, Statistical; multiway analysis; Neural networks; principal angles; Similarity; Spatial data; group‐level analysis; fMRI; high‐dimensional time series; dynamic factor model; multiway analysis; principal angles

ABSTRACT This work introduces a novel framework for dynamic factor model‐based group‐level analysis of multiple subjects time‐series data, called GRoup Integrative DYnamic factor (GRIDY) models. The framework identifies and characterizes intersubject similarities and differences between two predeter...