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Automated iterative reclustering framework for determining hierarchical functional networks in resting state fMRI
To spatially cluster resting state‐functional magnetic resonance imaging (rs‐fMRI) data into potential networks, there are only a few general approaches that determine the number of networks/clusters, despite a wide variety of techniques proposed for clustering. For individual subjects, extraction o...
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| Publicado no: | Hum Brain Mapp |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6869720/ https://ncbi.nlm.nih.gov/pubmed/26032457 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.22839 |
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