Assessing parameter identifiability for dynamic causal modeling of fMRI data

Deterministic dynamic causal modeling (DCM) for fMRI data is a sophisticated approach to analyse effective connectivity in terms of directed interactions between brain regions of interest. To date it is difficult to know if acquired fMRI data will yield precise estimation of DCM parameters. Focusing...

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Detalles Bibliográficos
Autores principales: Arand, Carolin, Scheller, Elisa, Seeber, Benjamin, Timmer, Jens, Klöppel, Stefan, Schelter, Björn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4335185/
https://www.ncbi.nlm.nih.gov/pubmed/25750612
http://dx.doi.org/10.3389/fnins.2015.00043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4335185/
https://www.ncbi.nlm.nih.gov/pubmed/25750612
http://dx.doi.org/10.3389/fnins.2015.00043

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