Using graph convolutional network to characterize individuals with major depressive disorder across multiple imaging sites

BACKGROUND: Establishing objective and quantitative neuroimaging biomarkers at individual level can assist in early and accurate diagnosis of major depressive disorder (MDD). However, most previous studies using machine learning to identify MDD were based on small sample size and did not account for...

Descripción completa

Detalles Bibliográficos
Autores principales: Qin, Kun, Lei, Du, Pinaya, Walter H.L., Pan, Nanfang, Li, Wenbin, Zhu, Ziyu, Sweeney, John A., Mechelli, Andrea, Gong, Qiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983334/
https://www.ncbi.nlm.nih.gov/pubmed/35367775
http://dx.doi.org/10.1016/j.ebiom.2022.103977

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983334/
https://www.ncbi.nlm.nih.gov/pubmed/35367775
http://dx.doi.org/10.1016/j.ebiom.2022.103977

Ejemplares similares