Sparse network-based models for patient classification using fMRI

Pattern recognition applied to whole-brain neuroimaging data, such as functional Magnetic Resonance Imaging (fMRI), has proved successful at discriminating psychiatric patients from healthy participants. However, predictive patterns obtained from whole-brain voxel-based features are difficult to int...

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Detalles Bibliográficos
Autores principales: Rosa, Maria J., Portugal, Liana, Hahn, Tim, Fallgatter, Andreas J., Garrido, Marta I., Shawe-Taylor, John, Mourao-Miranda, Janaina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4275574/
https://www.ncbi.nlm.nih.gov/pubmed/25463459
http://dx.doi.org/10.1016/j.neuroimage.2014.11.021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4275574/
https://www.ncbi.nlm.nih.gov/pubmed/25463459
http://dx.doi.org/10.1016/j.neuroimage.2014.11.021

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