Low-dimensional morphospace of topological motifs in human fMRI brain networks

We present a low-dimensional morphospace of fMRI brain networks, where axes are defined in a data-driven manner based on the network motifs. The morphospace allows us to identify the key variations in healthy fMRI networks in terms of their underlying motifs, and we observe that two principal compon...

Descripción completa

Detalles Bibliográficos
Autores principales: Morgan, Sarah E., Achard, Sophie, Termenon, Maite, Bullmore, Edward T., Vértes, Petra E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6130546/
https://www.ncbi.nlm.nih.gov/pubmed/30215036
http://dx.doi.org/10.1162/netn_a_00038

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6130546/
https://www.ncbi.nlm.nih.gov/pubmed/30215036
http://dx.doi.org/10.1162/netn_a_00038

Ejemplares similares