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

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 cen...

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Detalles Bibliográficos
Autores principales: Ryali, Srikanth, Supekar, Kaustubh, Chen, Tianwen, Kochalka, John, Cai, Weidong, Nicholas, Jonathan, Padmanabhan, Aarthi, Menon, Vinod
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154470/
https://www.ncbi.nlm.nih.gov/pubmed/27959921
http://dx.doi.org/10.1371/journal.pcbi.1005138

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154470/
https://www.ncbi.nlm.nih.gov/pubmed/27959921
http://dx.doi.org/10.1371/journal.pcbi.1005138

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