Deep sr-DDL: Deep structurally regularized dynamic dictionary learning to integrate multimodal and dynamic functional connectomics data for multidimensional clinical characterizations

We propose a novel integrated framework that jointly models complementary information from resting-state functional MRI (rs-fMRI) connectivity and diffusion tensor imaging (DTI) tractography to extract biomarkers of brain connectivity predictive of behavior. Our framework couples a generative model...

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Detalles Bibliográficos
Autores principales: D’Souza, N.S., Nebel, M.B., Crocetti, D., Robinson, J., Wymbs, N., Mostofsky, S.H., Venkataraman, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528511/
https://www.ncbi.nlm.nih.gov/pubmed/34271159
http://dx.doi.org/10.1016/j.neuroimage.2021.118388

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528511/
https://www.ncbi.nlm.nih.gov/pubmed/34271159
http://dx.doi.org/10.1016/j.neuroimage.2021.118388

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