The blessing of Dimensionality: Feature Selection outperforms functional connectivity-based feature transformation to classify ADHD subjects from EEG patterns of phase synchronisation

Functional connectivity (FC) characterizes brain activity from a multivariate set of N brain signals by means of an NxN matrix A, whose elements estimate the dependence within each possible pair of signals. Such matrix can be used as a feature vector for (un)supervised subject classification. Yet if...

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Detalles Bibliográficos
Autores principales: Pereda, Ernesto, García-Torres, Miguel, Melián-Batista, Belén, Mañas, Soledad, Méndez, Leopoldo, González, Julián J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6095525/
https://www.ncbi.nlm.nih.gov/pubmed/30114248
http://dx.doi.org/10.1371/journal.pone.0201660

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6095525/
https://www.ncbi.nlm.nih.gov/pubmed/30114248
http://dx.doi.org/10.1371/journal.pone.0201660

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