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Bayesian Community Detection in the Space of Group-Level Functional Differences
We propose a unified Bayesian framework to detect both hyper- and hypo-active communities within whole-brain fMRI data. Specifically, our model identifies dense subgraphs that exhibit population-level differences in functional synchrony between a control and clinical group. We derive a variational E...
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| Publicado en: | IEEE Trans Med Imaging |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2016
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5510046/ https://ncbi.nlm.nih.gov/pubmed/26955022 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2016.2536559 |
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