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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...
Autores principales: | Quinn, Andrew J., Green, Gary G.R., Hymers, Mark |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2021
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Materias: | |
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 |
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