Connectome sorting by consensus clustering increases separability in group neuroimaging studies

A fundamental challenge in preprocessing pipelines for neuroimaging datasets is to increase the signal-to-noise ratio for subsequent analyses. In the same line, we suggest here that the application of the consensus clustering approach to brain connectivity matrices can be a valid additional step for...

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Detalles Bibliográficos
Autores principales: Rasero, Javier, Diez, Ibai, Cortes, Jesus M., Marinazzo, Daniele, Stramaglia, Sebastiano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2019
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370473/
https://www.ncbi.nlm.nih.gov/pubmed/30793085
http://dx.doi.org/10.1162/netn_a_00074

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370473/
https://www.ncbi.nlm.nih.gov/pubmed/30793085
http://dx.doi.org/10.1162/netn_a_00074

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