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Data-driven visualization of multichannel EEG coherence networks based on community structure analysis
Abstract An electroencephalography (EEG) coherence network is a representation of functional brain connectivity, and is constructed by calculating the coherence between pairs of electrode signals as a function of frequency. Typical visualizations of coherence networks use a matrix representation wit...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SpringerOpen
2018-09-01
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| Colecção: | Applied Network Science |
| Assuntos: | |
| Acesso em linha: | http://link.springer.com/article/10.1007/s41109-018-0096-x |
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