Combining Graph and Machine Learning Methods to Analyze Differences in Functional Connectivity Across Sex

In this work we combine machine learning methods and graph theoretical analysis to investigate gender associated differences in resting state brain network connectivity. The set of all correlations computed from the fMRI resting state data is used as input features for classification. Two ensemble l...

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Detalles Bibliográficos
Autores principales: Casanova, R, Whitlow, C.T, Wagner, B, Espeland, M.A, Maldjian, J.A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Open 2012
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3271304/
https://www.ncbi.nlm.nih.gov/pubmed/22312418
http://dx.doi.org/10.2174/1874440001206010001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3271304/
https://www.ncbi.nlm.nih.gov/pubmed/22312418
http://dx.doi.org/10.2174/1874440001206010001

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