Study Preregistration: Data-Driven Profiles of Youth Executive Function and Their Longitudinal Associations With Externalizing Problems - 26/12/25
Résumé |
Youth externalizing problems such as hyperactivity, impulsivity, and aggression often persist into adulthood and predict a range of other problems, evidencing critical need for early detection and intervention. Yet, efforts in these areas have relied almost exclusively on behavioral and clinical data. Recent initiatives, such as the Research Domain Criteria, 1 integrate external validators such as performance on neuropsychological tasks to identify biomarkers. One promising potential biomarker relates to executive function (EF), high-level cognitive skills needed to plan and perform goal-directed behaviors. 2
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| This research was supported in part by NIMH Intramural Research Program projects ZIAMH002781 (principal investigator, Daniel S. Pine, MD) and ZICMH002968 (principal investigator, Francisco Pereira, PhD). The authors received no specific funding for this work. |
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| Code Availability Statement: All code will accompany the final Stage 2 manuscript and be publicly available on our GitHub repository ( NIMH-SDAN ) upon acceptance. |
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| Data Sharing: Data from the ABCD Study are publicly available and must be requested through the National Institute of Mental Health Data Archive (NDA). Data used in the preparation of this article were obtained from the Adolescent Brain Cognitive Development SM (ABCD) Study ( abcdstudy.org ), held in the NIMH Data Archive (NDA). This is a multisite, longitudinal study designed to recruit more than 10,000 children aged 9-10 and follow them over 10 years into early adulthood. The ABCD Study® is supported by the National Institutes of Health and additional federal partners under award numbers U01DA041048, U01DA050989, U01DA051016, U01DA041022, U01DA051018, U01DA051037, U01DA050987, U01DA041174, U01DA041106, U01DA041117, U01DA041028, U01DA041134, U01DA050988, U01DA051039, U01DA041156, U01DA041025, U01DA041120, U01DA051038, U01DA041148, U01DA041093, U01DA041089, U24DA041123, U24DA041147. A full list of supporters is available at federal-partners.html . A listing of participating sites and a complete listing of the study investigators can be found at consortium_members/ . ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in the analysis or writing of this report. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH or ABCD consortium investigators. The ABCD data repository grows and changes over time. The ABCD data used in this report came from NIMH Data Archive https://doi.org/10.15154/z563-zd24 . |
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| Charles Y. Zheng, PhD, served as the statistical expert for this research. |
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| The authors thank the children and families who participated in the study. The authors also wish to thank Kyunghun Lee, PhD, and Francisco Pereira, PhD, of the NIMH for their statistical guidance, Parmis Khosravi, PhD, of the NIMH, for her guidance on pre-processing the neuropsychological tasks data, Melissa A. Brotman, PhD, of the NIMH, for her role in consultation and discussion about the study conceptualization and framework, and Annie Jeong, BA, of the NIMH, for her contribution in preliminary preprocessing steps. |
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| Disclosure: Zoë E. Laky, Daniel S. Pine, Charles Y. Zheng, and Reut Naim have reported no biomedical financial interests or potential conflicts of interest. |
Vol 65 - N° 1
P. 88-89 - janvier 2026 Retour au numéro
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