Temporal complexity of fMRI is reproducible and correlates with higher order cognition

It has been hypothesized that resting state networks (RSNs), extracted from resting state functional magnetic resonance imaging (rsfMRI), likely display unique temporal complexity fingerprints, quantified by their multiscale entropy patterns (McDonough and Nashiro, 2014). This is a hypothesis with a...

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Detalhes bibliográficos

Principais autores:	Amir Omidvarnia, Andrew Zalesky, Sina Mansour L, Dimitri Van De Ville, Graeme D. Jackson, Mangor Pedersen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2021-04-01
coleção:	NeuroImage
Assuntos:	Temporal complexity Multiscale entropy Resting state network Functional MRI Human connectome project Fluid intelligence
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1053811921000379
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