Comparative analysis of group information-guided independent component analysis and independent vector analysis for assessing brain functional network characteristics in autism spectrum disorder

INTRODUCTION: Group information-guided independent component analysis (GIG-ICA) and independent vector analysis (IVA) are two methods that improve estimation of subject-specific independent components in neuroimaging studies. These methods have shown better performance than traditional group indepen...

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Detalles Bibliográficos
Autores principales: Jing, Junlin, Klugah-Brown, Benjamin, Xia, Shiyu, Sheng, Min, Biswal, Bharat B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620743/
https://www.ncbi.nlm.nih.gov/pubmed/37928736
http://dx.doi.org/10.3389/fnins.2023.1252732

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620743/
https://www.ncbi.nlm.nih.gov/pubmed/37928736
http://dx.doi.org/10.3389/fnins.2023.1252732

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