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...
Main Authors: | , , |
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Format: | Journal article |
Language: | English |
Published: |
Elsevier
2021
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