Measuring directed functional connectivity using non-parametric directionality analysis: Validation and comparison with non-parametric Granger Causality

Background: ‘Non-parametric directionality’ (NPD) is a novel method for estimation of directed functional connectivity (dFC) in neural data. The method has previously been verified in its ability to recover causal interactions in simulated spiking networks in Halliday et al. (2015). Methods: This wo...

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Главные авторы:	Timothy O. West, David M. Halliday, Steven L. Bressler, Simon F. Farmer, Vladimir Litvak
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Elsevier 2020-09-01
Серии:	NeuroImage
Предметы:	Functional connectivity Directionality EEG MEG Signal-to-noise Volume conduction
Online-ссылка:	http://www.sciencedirect.com/science/article/pii/S1053811920302834
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