Disentangling dynamic networks: Separated and joint expressions of functional connectivity patterns in time

• Published in: Human brain mapping Vol. 35; no. 12; pp. 5984 - 5995
• Main Authors: Leonardi, Nora, Shirer, William R., Greicius, Michael D., Van De Ville, Dimitri
• Format: Journal Article
• Language: English
• Published: New York, NY Blackwell Publishing Ltd 01.12.2014; Wiley-Liss; John Wiley & Sons, Inc; John Wiley and Sons Inc
• Subjects: Adolescent; Adult; Artificial Intelligence; Biological and medical sciences; Brain - physiology; Brain Mapping - methods; Cluster Analysis; Computer Simulation; dynamic functional connectivity; Electrodiagnosis. Electric activity recording; Feasibility Studies; Female; functional magnetic resonance imaging; Humans; Investigative techniques, diagnostic techniques (general aspects); Magnetic Resonance Imaging; Male; matrix factorization; Medical sciences; Miscellaneous. Technology; Models, Neurological; Nervous system; Neural Pathways - physiology; Neuropsychological Tests; Radiodiagnosis. Nmr imagery. Nmr spectrometry; Rest; resting state; Young Adult; Osteoarticular system; dynamic functional connectivity; matrix factorization; Nervous system diseases; resting state; Radiodiagnosis; Joint; Nuclear magnetic resonance imaging; functional magnetic resonance imaging; Functional imaging

Resting‐state functional connectivity (FC) is highly variable across the duration of a scan. Groups of coevolving connections, or reproducible patterns of dynamic FC (dFC), have been revealed in fluctuating FC by applying unsupervised learning techniques. Based on results from k‐means clustering and...