Parallel ICA identifies sub-components of resting state networks that covary with behavioral indices

Parallel Independent Component Analysis (para-ICA) is a multivariate method that can identify complex relationships between different data modalities by simultaneously performing Independent Component Analysis on each data set while finding mutual information between the two data sets. We use para-I...

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Detalles Bibliográficos
Autores principales: Meier, Timothy B., Wildenberg, Joseph C., Liu, Jingyu, Chen, Jiayu, Calhoun, Vince D., Biswal, Bharat B., Meyerand, Mary E., Birn, Rasmus M., Prabhakaran, Vivek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2012
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3468957/
https://www.ncbi.nlm.nih.gov/pubmed/23087635
http://dx.doi.org/10.3389/fnhum.2012.00281

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3468957/
https://www.ncbi.nlm.nih.gov/pubmed/23087635
http://dx.doi.org/10.3389/fnhum.2012.00281

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