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Extracting Reproducible Time-Resolved Resting State Networks Using Dynamic Mode Decomposition
Resting state networks (RSNs) extracted from functional magnetic resonance imaging (fMRI) scans are believed to reflect the intrinsic organization and network structure of brain regions. Most traditional methods for computing RSNs typically assume these functional networks are static throughout the...
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| Publicado no: | Front Comput Neurosci |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6834549/ https://ncbi.nlm.nih.gov/pubmed/31736734 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2019.00075 |
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