Automatic diagnosis of late-life depression by 3D convolutional neural networks and cross-sample Entropy analysis from resting-state fMRI

Resting-state fMRI has been widely used in investigating the pathophysiology of late-life depression (LLD). Unlike the conventional linear approach, cross-sample entropy (CSE) analysis shows the nonlinear property in fMRI signals between brain regions. Moreover, recent advances in deep learning, suc...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Chemin, Lee, Shwu-Hua, Huang, Chih-Mao, Chen, Guan-Yen, Chang, Wei, Liu, Ho-Ling, Ng, Shu-Hang, Lee, Tatia Mei-Chun, Wu, Shun-Chi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922223/
https://www.ncbi.nlm.nih.gov/pubmed/36418676
http://dx.doi.org/10.1007/s11682-022-00748-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922223/
https://www.ncbi.nlm.nih.gov/pubmed/36418676
http://dx.doi.org/10.1007/s11682-022-00748-0

Ejemplares similares