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A Bayesian Hierarchical Framework for Modeling Brain Connectivity for Neuroimaging Data
We propose a novel Bayesian hierarchical model for brain imaging data that unifies voxel level (the most localized unit of measure) and region level brain connectivity analyses, and yields population level inferences. Functional connectivity generally refers to associations in brain activity between...
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| Pubblicato in: | Biometrics |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4846590/ https://ncbi.nlm.nih.gov/pubmed/26501687 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12433 |
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