Delineating between-subject heterogeneity in alpha networks with Spatio-Spectral Eigenmodes

Between subject variability in the spatial and spectral structure of oscillatory networks can be highly informative but poses a considerable analytic challenge. Here, we describe a data-driven modal decomposition of a multivariate autoregressive model that simultaneously identifies oscillations by t...

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Detalles Bibliográficos
Autores principales: Quinn, Andrew J., Green, Gary G.R., Hymers, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456753/
https://www.ncbi.nlm.nih.gov/pubmed/34237443
http://dx.doi.org/10.1016/j.neuroimage.2021.118330

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456753/
https://www.ncbi.nlm.nih.gov/pubmed/34237443
http://dx.doi.org/10.1016/j.neuroimage.2021.118330

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