Regression models for partially localized fMRI connectivity analyses

BACKGROUND: Brain functional connectivity analysis of resting-state functional magnetic resonance imaging (fMRI) data is typically performed in a standardized template space assuming consistency of connections across subjects. Analysis methods can come in the form of one-edge-at-a-time analyses or d...

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Detalles Bibliográficos
Autores principales: Smith, Bonnie B., Zhao, Yi, Lindquist, Martin A., Caffo, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroimaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679340/
https://www.ncbi.nlm.nih.gov/pubmed/38025311
http://dx.doi.org/10.3389/fnimg.2023.1178359

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679340/
https://www.ncbi.nlm.nih.gov/pubmed/38025311
http://dx.doi.org/10.3389/fnimg.2023.1178359

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