Deep reasoning neural network analysis to predict language deficits from psychometry‐driven DWI connectome of young children with persistent language concerns

This study investigated whether current state‐of‐the‐art deep reasoning network analysis on psychometry‐driven diffusion tractography connectome can accurately predict expressive and receptive language scores in a cohort of young children with persistent language concerns (n = 31, age: 4.25 ± 2.38 y...

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Detalles Bibliográficos
Autores principales: Jeong, Jeong‐Won, Banerjee, Soumyanil, Lee, Min‐Hee, O'Hara, Nolan, Behen, Michael, Juhász, Csaba, Dong, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193535/
https://www.ncbi.nlm.nih.gov/pubmed/33949048
http://dx.doi.org/10.1002/hbm.25437

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193535/
https://www.ncbi.nlm.nih.gov/pubmed/33949048
http://dx.doi.org/10.1002/hbm.25437

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