Using Dual Regression to Investigate Network Shape and Amplitude in Functional Connectivity Analyses

Independent Component Analysis (ICA) is one of the most popular techniques for the analysis of resting state FMRI data because it has several advantageous properties when compared with other techniques. Most notably, in contrast to a conventional seed-based correlation analysis, it is model-free and...

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Detalles Bibliográficos
Autores principales: Nickerson, Lisa D., Smith, Stephen M., Öngür, Döst, Beckmann, Christian F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5346569/
https://www.ncbi.nlm.nih.gov/pubmed/28348512
http://dx.doi.org/10.3389/fnins.2017.00115

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5346569/
https://www.ncbi.nlm.nih.gov/pubmed/28348512
http://dx.doi.org/10.3389/fnins.2017.00115

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