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A Functional Networks Estimation Method of Resting-State fMRI Using a Hierarchical Markov Random Field
We propose a hierarchical Markov random field model that estimates both group and subject functional networks simultaneously. The model takes into account the within-subject spatial coherence as well as the between-subject consistency of the network label maps. The statistical dependency between gro...
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| Huvudupphovsmän: | , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2014
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4214158/ https://ncbi.nlm.nih.gov/pubmed/24954282 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2014.06.001 |
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