Predicting MEG resting-state functional connectivity from microstructural information

Understanding how human brain microstructure influences functional connectivity is an important endeavor. In this work, magnetic resonance imaging data from 90 healthy participants were used to calculate structural connectivity matrices using the streamline count, fractional anisotropy, radial diffu...

Descripción completa

Detalles Bibliográficos
Autores principales: Messaritaki, Eirini, Foley, Sonya, Schiavi, Simona, Magazzini, Lorenzo, Routley, Bethany, Jones, Derek K., Singh, Krish D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233113/
https://www.ncbi.nlm.nih.gov/pubmed/34189374
http://dx.doi.org/10.1162/netn_a_00187

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233113/
https://www.ncbi.nlm.nih.gov/pubmed/34189374
http://dx.doi.org/10.1162/netn_a_00187

Ejemplares similares