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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier/North-Holland Biomedical Press
2015
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| Materias: | |
| 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 |