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Generation of Individual Whole-Brain Atlases With Resting-State fMRI Data Using Simultaneous Graph Computation and Parcellation

The human brain can be characterized as functional networks. Therefore, it is important to subdivide the brain appropriately in order to construct reliable networks. Resting-state functional connectivity-based parcellation is a commonly used technique to fulfill this goal. Here we propose a novel in...

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Опубликовано в: :Front Hum Neurosci
Главные авторы: Wang, J., Hao, Z., Wang, H.
Формат: Artigo
Язык:Inglês
Опубликовано: Frontiers Media S.A. 2018
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC5945868/
https://ncbi.nlm.nih.gov/pubmed/29780309
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2018.00166
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