Extracting Reproducible Time-Resolved Resting State Networks Using Dynamic Mode Decomposition

Resting state networks (RSNs) extracted from functional magnetic resonance imaging (fMRI) scans are believed to reflect the intrinsic organization and network structure of brain regions. Most traditional methods for computing RSNs typically assume these functional networks are static throughout the...

Descripción completa

Detalles Bibliográficos
Autores principales: Kunert-Graf, James M., Eschenburg, Kristian M., Galas, David J., Kutz, J. Nathan, Rane, Swati D., Brunton, Bingni W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834549/
https://www.ncbi.nlm.nih.gov/pubmed/31736734
http://dx.doi.org/10.3389/fncom.2019.00075

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834549/
https://www.ncbi.nlm.nih.gov/pubmed/31736734
http://dx.doi.org/10.3389/fncom.2019.00075

Ejemplares similares