Combining the intersubject correlation analysis and the multivariate distance matrix regression to evaluate associations between fNIRS signals and behavioral data from ecological experiments-Reference-Cited by-同舟云学术

Combining the intersubject correlation analysis and the multivariate distance matrix regression to evaluate associations between fNIRS signals and behavioral data from ecological experiments

Published:2020-08-08 Issue:10 Volume:238 Page:2399-2408
ISSN:0014-4819
Container-title:Experimental Brain Research
language:en
Short-container-title:Exp Brain Res

Author:

Da Silva Ferreira Barreto Candida^ORCID,Zimeo Morais Guilherme Augusto,Vanzella Patricia,Sato Joao Ricardo

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Springer Science and Business Media LLC

Subject

General Neuroscience

Link

https://link.springer.com/content/pdf/10.1007/s00221-020-05895-8.pdf

Reference40 articles.

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3. Balardin JB, Zimeo Morais GA, Furucho RA, Trambaiolli L, Vanzella P, Biazoli CJ (2017) Imaging brain function with functional near-infrared spectroscopy in unconstrained environments. Front Hum Neurosci. https://doi.org/10.3389/fnhum.2017.00258

4. Balconi M, Grippa E, Vanutelli ME (2015) What hemodynamic (fNIRS), electrophysiological (EEG) and autonomic integrated measures can tell us about emotional processing. Brain Cognit. https://doi.org/10.1016/j.bandc.2015.02.001

5. Barreto CD, Vanzella PM, Sato JR (2019) An alternative method to group analysis of fNIRS signals from ecological experiments: an application to an emotional music induced experiment. In: Conference abstract: 2nd international neuroergonomics conference. https://doi.org/10.3389/conf.fnhum.2018.227.00061

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