Regression‐based machine‐learning approaches to predict task activation using resting‐state fMRI

Resting‐state fMRI has shown the ability to predict task activation on an individual basis by using a general linear model (GLM) to map resting‐state network features to activation z‐scores. The question remains whether the relatively simplistic GLM is the best approach to accomplish this prediction...

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Detalles Bibliográficos
Autores principales: Cohen, Alexander D., Chen, Ziyi, Parker Jones, Oiwi, Niu, Chen, Wang, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2019
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267916/
https://www.ncbi.nlm.nih.gov/pubmed/31638304
http://dx.doi.org/10.1002/hbm.24841

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267916/
https://www.ncbi.nlm.nih.gov/pubmed/31638304
http://dx.doi.org/10.1002/hbm.24841

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