A Unified Framework for Inattention Estimation From Resting State Phase Synchrony Using Machine Learning

Inattention is one of the most significant clinical symptoms for evaluating attention deficit hyperactivity disorder (ADHD). Previous inattention estimations were performed using clinical scales. Recently, predictive models for inattention have been established for brain-behavior estimation using ne...

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Detalles Bibliográficos
Autores principales: Wang, Xun-Heng, Li, Lihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495194/
https://www.ncbi.nlm.nih.gov/pubmed/34630522
http://dx.doi.org/10.3389/fgene.2021.728913

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495194/
https://www.ncbi.nlm.nih.gov/pubmed/34630522
http://dx.doi.org/10.3389/fgene.2021.728913

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