Group linear non-Gaussian component analysis with applications to neuroimaging

Independent component analysis (ICA) is an unsupervised learning method popular in functional magnetic resonance imaging (fMRI). Group ICA has been used to search for biomarkers in neurological disorders including autism spectrum disorder and dementia. However, current methods use a principal compon...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Yuxuan, Matteson, David S., Mostofsky, Stewart H., Nebel, Mary Beth, Risk, Benjamin B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390952/
https://www.ncbi.nlm.nih.gov/pubmed/35992040
http://dx.doi.org/10.1016/j.csda.2022.107454

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390952/
https://www.ncbi.nlm.nih.gov/pubmed/35992040
http://dx.doi.org/10.1016/j.csda.2022.107454

Ejemplares similares