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A Two-Part Mixed-Effects Modeling Framework For Analyzing Whole-Brain Network Data
Whole-brain network analyses remain the vanguard in neuroimaging research, coming to prominence within the last decade. Network science approaches have facilitated these analyses and allowed examining the brain as an integrated system. However, statistical methods for modeling and comparing groups o...
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| Publié dans: | Neuroimage |
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| Auteurs principaux: | , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2015
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4433821/ https://ncbi.nlm.nih.gov/pubmed/25796135 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2015.03.021 |
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