Estimating sparse functional connectivity networks via hyperparameter-free learning model.

Functional connectivity networks (FCNs) provide a potential way for understanding the brain organizational patterns and diagnosing neurological diseases. Currently, researchers have proposed many methods for FCN construction, among which the most classic example is Pearson's correlation (PC). Despit...

Descripción completa

Detalles Bibliográficos
Publicado en:Artificial Intelligence in Medicine Vol. 111
Autores principales: Sun, Lei, Xue, Yanfang, Zhang, Yining, Qiao, Lishan, Zhang, Limei, Liu, Mingxia
Formato: equations & formulas research tables/charts Journal Article
Publicado: Elsevier B.V. Jan2021
Acceso en línea:Ver este registro en EBSCOhost