Population level multimodal neuroimaging correlates of attention-deficit hyperactivity disorder among children

OBJECTIVES: Leveraging a large population-level morphologic, microstructural, and functional neuroimaging dataset, we aimed to elucidate the underlying neurobiology of attention-deficit hyperactivity disorder (ADHD) in children. In addition, we evaluated the applicability of machine learning classif...

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Detalles Bibliográficos
Autores principales: Lin, Huang, Haider, Stefan P., Kaltenhauser, Simone, Mozayan, Ali, Malhotra, Ajay, Constable, R. Todd, Scheinost, Dustin, Ment, Laura R., Konrad, Kerstin, Payabvash, Seyedmehdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992191/
https://www.ncbi.nlm.nih.gov/pubmed/36908780
http://dx.doi.org/10.3389/fnins.2023.1138670

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992191/
https://www.ncbi.nlm.nih.gov/pubmed/36908780
http://dx.doi.org/10.3389/fnins.2023.1138670

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