Parallel Workflows for Data-Driven Structural Equation Modeling in Functional Neuroimaging

We present a computational framework suitable for a data-driven approach to structural equation modeling (SEM) and describe several workflows for modeling functional magnetic resonance imaging (fMRI) data within this framework. The Computational Neuroscience Applications Research Infrastructure (CNA...

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Detalles Bibliográficos
Autores principales: Kenny, Sarah, Andric, Michael, Boker, Steven M., Neale, Michael C., Wilde, Michael, Small, Steven L.
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2009
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2769547/
https://www.ncbi.nlm.nih.gov/pubmed/19876406
http://dx.doi.org/10.3389/neuro.11.034.2009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2769547/
https://www.ncbi.nlm.nih.gov/pubmed/19876406
http://dx.doi.org/10.3389/neuro.11.034.2009

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