Temporal Dynamics and Developmental Maturation of Salience, Default and Central-Executive Network Interactions Revealed by Variational Bayes Hidden Markov Modeling.

Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE

Original Publication: San Francisco, CA : Public Library of Science, [2005]-

Models, Neurological*; Brain/*physiology ; Cognition/*physiology; Adult ; Bayes Theorem ; Brain/diagnostic imaging ; Child ; Computational Biology ; Computer Simulation ; Female ; Humans ; Magnetic Resonance Imaging ; Male ; Markov Chains ; Time Factors ; Young Adult

Little is currently known about dynamic brain networks involved in high-level cognition and their ontological basis. Here we develop a novel Variational Bayesian Hidden Markov Model (VB-HMM) to investigate dynamic temporal properties of interactions between salience (SN), default mode (DMN), and central executive (CEN) networks-three brain systems that play a critical role in human cognition. In contrast to conventional models, VB-HMM revealed multiple short-lived states characterized by rapid switching and transient connectivity between SN, CEN, and DMN. Furthermore, the three "static" networks occurred in a segregated state only intermittently. Findings were replicated in two adult cohorts from the Human Connectome Project. VB-HMM further revealed immature dynamic interactions between SN, CEN, and DMN in children, characterized by higher mean lifetimes in individual states, reduced switching probability between states and less differentiated connectivity across states. Our computational techniques provide new insights into human brain network dynamics and its maturation with development.
Competing Interests: The authors have declared that no competing interests exist

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K01 MH105625 United States MH NIMH NIH HHS; K25 HD074652 United States HD NICHD NIH HHS; R01 NS086085 United States NS NINDS NIH HHS; R01 EB022907 United States EB NIBIB NIH HHS; R21 NS071221 United States NS NINDS NIH HHS

Date Created: 20161214 Date Completed: 20170615 Latest Revision: 20201215

20221213

PMC5154470

10.1371/journal.pcbi.1005138

27959921