Studying Sub-Dendrograms of Resting-State Functional Networks with Voxel-Wise Hierarchical Clustering

Hierarchical clustering is a useful data-driven approach to classify complex data and has been used to analyze resting-state functional magnetic resonance imaging (fMRI) data and derive functional networks of the human brain at very large scale, such as the entire visual or sensory-motor cortex. In...

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Detalles Bibliográficos
Autores principales: Wang, Yanlu, Msghina, Mussie, Li, Tie-Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4781834/
https://www.ncbi.nlm.nih.gov/pubmed/27014015
http://dx.doi.org/10.3389/fnhum.2016.00075

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4781834/
https://www.ncbi.nlm.nih.gov/pubmed/27014015
http://dx.doi.org/10.3389/fnhum.2016.00075

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