Machine Learning Based Classification of Resting-State fMRI Features Exemplified by Metabolic State (Hunger/Satiety)

OBJECTIVE: Resting-state functional magnetic resonance imaging (rs-fMRI) has become an essential measure to investigate the human brain’s spontaneous activity and intrinsic functional connectivity. Several studies including our own previous work have shown that the brain controls the regulation of e...

Descripción completa

Detalles Bibliográficos
Autores principales: Al-Zubaidi, Arkan, Mertins, Alfred, Heldmann, Marcus, Jauch-Chara, Kamila, Münte, Thomas F.
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/PMC6546854/
https://www.ncbi.nlm.nih.gov/pubmed/31191274
http://dx.doi.org/10.3389/fnhum.2019.00164

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546854/
https://www.ncbi.nlm.nih.gov/pubmed/31191274
http://dx.doi.org/10.3389/fnhum.2019.00164

Ejemplares similares