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State Space Modeling of Time-Varying Contemporaneous and Lagged Relations in Connectivity Maps

Most connectivity mapping techniques for neuroimaging data assume stationarity (i.e., network parameters are constant across time), but this assumption does not always hold true. The authors provide a description of a new approach for simultaneously detecting time-varying (or dynamic) contemporaneou...

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Publicado en:Neuroimage
Main Authors: Molenaar, Peter C. M., Beltz, Adriene M., Gates, Kathleen M., Wilson, Stephen J.
Formato: Artigo
Idioma:Inglês
Publicado: 2015
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC5378168/
https://ncbi.nlm.nih.gov/pubmed/26546863
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2015.10.088
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