Exploratory factor analysis with structured residuals for brain network data

Dimension reduction is widely used and often necessary to make network analyses and their interpretation tractable by reducing high-dimensional data to a small number of underlying variables. Techniques such as exploratory factor analysis (EFA) are used by neuroscientists to reduce measurements from...

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Detalles Bibliográficos
Autores principales: van Kesteren, Erik-Jan, Kievit, Rogier A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2021
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935039/
https://www.ncbi.nlm.nih.gov/pubmed/33688604
http://dx.doi.org/10.1162/netn_a_00162

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935039/
https://www.ncbi.nlm.nih.gov/pubmed/33688604
http://dx.doi.org/10.1162/netn_a_00162

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