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354 Unitary neural correlates of executive control in pediatric transdiagnostic psychopathology

Published online by Cambridge University Press:  24 April 2023

Adam Kaminski
Affiliation:
Georgetown-Howard Universities
Hua Xie
Affiliation:
Children’s Research Institute, Children’s National Medical Center, Washington, D.C.
Xiaozhen You
Affiliation:
Children’s Research Institute, Children’s National Medical Center, Washington, D.C.
Kathryn Flaharty
Affiliation:
Department of Psychology, Georgetown University, Washington, D.C.
Charlotte Jeppsen
Affiliation:
Children’s Research Institute, Children’s National Medical Center, Washington, D.C.
Sufang Li
Affiliation:
Department of Psychology, Georgetown University, Washington, D.C.
Junaid S. Merchant
Affiliation:
Department of Psychology, Georgetown University, Washington, D.C.
Madison M. Berl
Affiliation:
Children’s Research Institute, Children’s National Medical Center, Washington, D.C.
Lauren Kenworthy
Affiliation:
Children’s Research Institute, Children’s National Medical Center, Washington, D.C.
Chandan J. Vaidya
Affiliation:
Department of Psychology, Georgetown University, Washington, D.C. Children’s Research Institute, Children’s National Medical Center, Washington, D.C.
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Abstract

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OBJECTIVES/GOALS: Childhood psychiatric symptoms are highly comorbid. Their co-occurrence and association with negative life outcomes is partially explained by deficits in executive control, or processes enabling self-regulation. Here, we test a novel executive neural target in three fMRI tasks and its relevance to shared psychopathology. METHODS/STUDY POPULATION: We studied 60 children [15 F/45 M; mean age (SD)=11.6 years (1.62)] with diverse diagnoses including attention deficit disorder (n=26) and autism spectrum disorder (n=22). We extracted a latent general factor of psychopathology using principal component analyses applied to parent-report Child Behavior Checklist syndrome scores. Subjects completed 3 executive control fMRI probes, tapping adaptive control, working memory, and inhibition. Correlational psychophysiological interaction (cPPI) analysis measured correlations between executive control-related modulations of activity in 414 network-affiliated parcels. We selected parcels exhibiting control-related cross-network correlations as well as control-related activity across all tasks and tested them for association with psychopathology. RESULTS/ANTICIPATED RESULTS: cPPI connectivity matrices were thresholded and graphs were identified using the Network-Based Statistic toolbox (p90th percentile PC) as well as control-related activation (>10% activated voxels; p DISCUSSION/SIGNIFICANCE: Our results examine cross-network interactions between brain regions during 3 fMRI tasks and their role in explaining individual variation in psychopathology. As executive control links to both comorbidity and life outcomes, identifying the clinically-relevant neural correlates of controlled behavior may lead to transdiagnostic treatments.

Type
Precision Medicine/Health
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s), 2023. The Association for Clinical and Translational Science