Discovering common change-point patterns in functional connectivity across subjects

• Published in: Medical image analysis Vol. 58; p. 101532
• Main Authors: Dai, Mengyu, Zhang, Zhengwu, Srivastava, Anuj
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.12.2019; Elsevier BV
• Subjects: Brain; Brain mapping; Change detection; Change-points; Dynamic functional connectivity; Functional magnetic resonance imaging; Graphical methods; Graphical representations; Mathematical analysis; Mathematical functions; Matrix methods; Minimal spanning trees; Neural networks; Statistical analysis; Statistical tests; Symmetric positive definite matrix; Temporal alignment; Change-points; Minimal spanning trees; Dynamic functional connectivity; Symmetric positive definite matrix; Temporal alignment

•A graph-based change-point detection model combing a Riemannian metric on the space of symmetric positive-definite matrices.•Graphical representations of estimated FC.•Temporal alignment of functions for discovering common change-point patterns across subjects.•Experiment block designs for validati...