A Hierarchical Bayesian Mixture Model Approach for Analysis of Resting-State Functional Brain Connectivity: An Alternative to Thresholding

This article proposes a Bayesian hierarchical mixture model to analyze functional brain connectivity where mixture components represent “positively connected” and “non-connected” brain regions. Such an approach provides a data-informed separation of reliable and spurious connections in contrast to a...

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Detalhes bibliográficos
Publicado no:Brain Connect
Main Authors: Gorbach, Tetiana, Lundquist, Anders, de Luna, Xavier, Nyberg, Lars, Salami, Alireza
Formato: Artigo
Idioma:Inglês
Publicado em: Mary Ann Liebert, Inc., publishers 2020
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Original Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7310299/
https://ncbi.nlm.nih.gov/pubmed/32308015
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/brain.2020.0740
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