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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Detalles Bibliográficos
Autores principales: West, Timothy O., Halliday, David M., Bressler, Steven L., Farmer, Simon F., Litvak, Vladimir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116477/
https://www.ncbi.nlm.nih.gov/pubmed/32325209
http://dx.doi.org/10.1016/j.neuroimage.2020.116796

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116477/
https://www.ncbi.nlm.nih.gov/pubmed/32325209
http://dx.doi.org/10.1016/j.neuroimage.2020.116796

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