Using Low-Dimensional Manifolds to Map Relationships Between Dynamic Brain Networks

As the field of dynamic brain networks continues to expand, new methods are needed to allow for optimal handling and understanding of this explosion in data. We propose here a novel approach that embeds dynamic brain networks onto a two-dimensional (2D) manifold based on similarities and differences...

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Detalles Bibliográficos
Autores principales: Bahrami, Mohsen, Lyday, Robert G., Casanova, Ramon, Burdette, Jonathan H., Simpson, Sean L., Laurienti, Paul J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Human Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6914694/
https://www.ncbi.nlm.nih.gov/pubmed/31920590
http://dx.doi.org/10.3389/fnhum.2019.00430

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6914694/
https://www.ncbi.nlm.nih.gov/pubmed/31920590
http://dx.doi.org/10.3389/fnhum.2019.00430

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