The reliability and psychometric structure of Multi-Scale Entropy measured from EEG signals at rest and during face and object recognition tasks-Reference-Cited by-同舟云学术

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The reliability and psychometric structure of Multi-Scale Entropy measured from EEG signals at rest and during face and object recognition tasks

Published:2019-10 Issue: Volume:326 Page:108343
ISSN:0165-0270
Container-title:Journal of Neuroscience Methods
language:en
Short-container-title:Journal of Neuroscience Methods

Author:

Kaur Yadwinder^ORCID,Ouyang Guang,Junge Martin,Sommer Werner,Liu Mianxin,Zhou Changsong,Hildebrandt Andrea

Funder

Deutsche Forschungsgemeinschaft

Alexander von Humboldt Foundation

University of Greifswald

Carl von Ossietzky Universität Oldenburg

HKBU Interdisciplinary Research Matching Scheme

Publisher

Elsevier BV

Subject

General Neuroscience

Reference49 articles.

1. Tracking whole-brain connectivity dynamics in the resting state;Allen;Cereb. Cortex,2014

2. The global dynamic complexity of the human brain network;Arsiwalla;Appl. Netw. Sci.,2016

3. EEG complexity as a biomarker for autism spectrum disorder risk;Bosl;BMC Med.,2011

4. Atypical EEG complexity in autism spectrum conditions: a multiscale entropy analysis;Catarino;Clin. Neurophysiol.,2011

5. Multiscale entropy analysis of complex physiologic time series;Costa;Phys. Rev. Lett.,2002

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