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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...
שמור ב:
| הוצא לאור ב: | PLoS One |
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| Main Authors: | , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Public Library of Science
2016
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| נושאים: | |
| גישה מקוונת: | 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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