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Data-Driven Subtyping of Executive Function-Related Behavioral Problems in Children.

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dc.creator Bathelt, Johannes
dc.creator Holmes, Joni
dc.creator Astle, Duncan
dc.creator Centre for Attention Learning and Memory (CALM) Team,
dc.date 2018-04-13T08:18:19Z
dc.date 2018-04-13T08:18:19Z
dc.date 2018-04
dc.date.accessioned 2019-03-20T08:23:04Z
dc.date.available 2019-03-20T08:23:04Z
dc.identifier https://www.repository.cam.ac.uk/handle/1810/274829
dc.identifier 10.17863/CAM.21976
dc.identifier.uri https://evidence.thinkportal.org/handle/123456789/32221
dc.description Executive functions (EF) are cognitive skills important for regulating behavior and achieving goals. Executive function deficits are common in children who struggle in school and are associated with multiple neurodevelopmental disorders. However, there is also considerable heterogeneity across children, even within diagnostic categories. This study took a data-driven approach to identify distinct clusters of children with common profiles of EF-related difficulties, and then identified patterns of brain organisation that distinguish these data-driven groups.
dc.format Print-Electronic
dc.language eng
dc.publisher Journal of the American Academy of Child and Adolescent Psychiatry
dc.rights Attribution 4.0 International
dc.rights http://creativecommons.org/licenses/by/4.0/
dc.subject Centre for Attention Learning and Memory (CALM) Team
dc.title Data-Driven Subtyping of Executive Function-Related Behavioral Problems in Children.
dc.type Article


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