Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression

Standard functional magnetic resonance imaging (fMRI) analyses cannot assess the potential of a neuroimaging signature as a biomarker to predict individual vulnerability to major depression (MD). Here, we use machine learning for the first time to address this question. Using a recently identified n...

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Detalles Bibliográficos
Autores principales: Sato, João R., Moll, Jorge, Green, Sophie, Deakin, John F.W., Thomaz, Carlos E., Zahn, Roland
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier/North-Holland Biomedical Press 2015
Materias:
Short Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4834459/
https://www.ncbi.nlm.nih.gov/pubmed/26187550
http://dx.doi.org/10.1016/j.pscychresns.2015.07.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4834459/
https://www.ncbi.nlm.nih.gov/pubmed/26187550
http://dx.doi.org/10.1016/j.pscychresns.2015.07.001

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