Decoding post-stroke motor function from structural brain imaging

Clinical research based on neuroimaging data has benefited from machine learning methods, which have the ability to provide individualized predictions and to account for the interaction among units of information in the brain. Application of machine learning in structural imaging to investigate dise...

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Detalles Bibliográficos
Autores principales: Rondina, Jane M., Filippone, Maurizio, Girolami, Mark, Ward, Nick S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4995603/
https://www.ncbi.nlm.nih.gov/pubmed/27595065
http://dx.doi.org/10.1016/j.nicl.2016.07.014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4995603/
https://www.ncbi.nlm.nih.gov/pubmed/27595065
http://dx.doi.org/10.1016/j.nicl.2016.07.014

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