Nonlinear functional network connectivity in resting functional magnetic resonance imaging data

In this work, we focus on explicitly nonlinear relationships in functional networks. We introduce a technique using normalized mutual information (NMI) that calculates the nonlinear relationship between different brain regions. We demonstrate our proposed approach using simulated data and then apply...

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Detalles Bibliográficos
Autores principales: Motlaghian, Sara M., Belger, Aysenil, Bustillo, Juan R., Ford, Judith M., Iraji, Armin, Lim, Kelvin, Mathalon, Daniel H., Mueller, Bryon A., O'Leary, Daniel, Pearlson, Godfrey, Potkin, Steven G., Preda, Adrian, van Erp, Theo G. M., Calhoun, Vince D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491296/
https://www.ncbi.nlm.nih.gov/pubmed/35762454
http://dx.doi.org/10.1002/hbm.25972

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491296/
https://www.ncbi.nlm.nih.gov/pubmed/35762454
http://dx.doi.org/10.1002/hbm.25972

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