A Framework to Assess the Information Dynamics of Source EEG Activity and Its Application to Epileptic Brain Networks

This study introduces a framework for the information-theoretic analysis of brain functional connectivity performed at the level of electroencephalogram (EEG) sources. The framework combines the use of common spatial patterns to select the EEG components which maximize the variance between two exper...

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Detalhes bibliográficos

Principais autores:	Ivan Kotiuchyi, Riccardo Pernice, Anton Popov, Luca Faes, Volodymyr Kharytonov
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2020-09-01
coleção:	Brain Sciences
Assuntos:	epilepsy information theory EEG information storage information transfer vector autoregressive modeling
Acesso em linha:	https://www.mdpi.com/2076-3425/10/9/657
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