Virtual Connectomic Datasets in Alzheimer’s Disease and Aging Using Whole-Brain Network Dynamics Modelling

Large neuroimaging datasets, including information about structural connectivity (SC) and functional connectivity (FC), play an increasingly important role in clinical research, where they guide the design of algorithms for automated stratification, diagnosis or prediction. A major obstacle is, howe...

Descripción completa

Detalles Bibliográficos
Autores principales: Arbabyazd, Lucas, Shen, Kelly, Wang, Zheng, Hofmann-Apitius, Martin, Ritter, Petra, McIntosh, Anthony R., Battaglia, Demian, Jirsa, Viktor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2021
Materias:
Research Article: Methods/New Tools
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260273/
https://www.ncbi.nlm.nih.gov/pubmed/34045210
http://dx.doi.org/10.1523/ENEURO.0475-20.2021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260273/
https://www.ncbi.nlm.nih.gov/pubmed/34045210
http://dx.doi.org/10.1523/ENEURO.0475-20.2021

Ejemplares similares