Robust brain network identification from multi-subject asynchronous fMRI data

We describe a novel method for robust identification of common brain networks and their corresponding temporal dynamics across subjects from asynchronous functional MRI (fMRI) using tensor decomposition. We first temporally align asynchronous fMRI data using the orthogonal BrainSync transform, allow...

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Detalles Bibliográficos
Autores principales: Li, Jian, Wisnowski, Jessica L., Joshi, Anand A., Leahy, Richard M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7983296/
https://www.ncbi.nlm.nih.gov/pubmed/33301936
http://dx.doi.org/10.1016/j.neuroimage.2020.117615

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7983296/
https://www.ncbi.nlm.nih.gov/pubmed/33301936
http://dx.doi.org/10.1016/j.neuroimage.2020.117615

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