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Large-Scale Functional Networks Identified from Resting-State EEG Using Spatial ICA
Several methods have been applied to EEG or MEG signals to detect functional networks. In recent works using MEG/EEG and fMRI data, temporal ICA analysis has been used to extract spatial maps of resting-state networks with or without an atlas-based parcellation of the cortex. Since the links between...
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| Publié dans: | PLoS One |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Public Library of Science
2016
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4718524/ https://ncbi.nlm.nih.gov/pubmed/26785116 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0146845 |
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