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Deep multimodal predictome for studying mental disorders

Characterizing neuropsychiatric disorders is challenging due to heterogeneity in the population. We propose combining structural and functional neuroimaging and genomic data in a multimodal classification framework to leverage their complementary information. Our objectives are two‐fold (i) to impro...

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Detalles Bibliográficos
Autores principales:	Rahaman, Md Abdur, Chen, Jiayu, Fu, Zening, Lewis, Noah, Iraji, Armin, van Erp, Theo G. M., Calhoun, Vince D.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley & Sons, Inc. 2022
Materias:	Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842924/ https://www.ncbi.nlm.nih.gov/pubmed/36574598 http://dx.doi.org/10.1002/hbm.26077

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