Kernel Principal Component Analysis for dimensionality reduction in fMRI-based diagnosis of ADHD

This study explored various feature extraction methods for use in automated diagnosis of Attention-Deficit Hyperactivity Disorder (ADHD) from functional Magnetic Resonance Image (fMRI) data. Each participant's data consisted of a resting state fMRI scan as well as phenotypic data (age, gender,...

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Detalles Bibliográficos
Autores principales: Sidhu, Gagan S., Asgarian, Nasimeh, Greiner, Russell, Brown, Matthew R. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2012
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3494168/
https://www.ncbi.nlm.nih.gov/pubmed/23162439
http://dx.doi.org/10.3389/fnsys.2012.00074

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3494168/
https://www.ncbi.nlm.nih.gov/pubmed/23162439
http://dx.doi.org/10.3389/fnsys.2012.00074

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