Connectome-based predictive modelling of problematic gaming in youth from the ABCD study

The identified large-scale networks predictive of problematic-gaming severity in adolescents may serve as promising targets for personalized and novel interventions. Before using these results to guide clinical advances, future research should use external samples to evaluate replicability of the identified network.

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Publication Details

Journal
Journal of Behavioral Addictions
Published
2026-01-19
DOI
https://doi.org/10.1556/2006.2025.00103
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
0.00
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article

Connectome-based predictive modelling of problematic gaming in youth from the ABCD study

Li Yan McCurdy, Jennifer J. Park, Cheryl Lacadie, Yihong Zhao et al.
Journal of Behavioral Addictions
Impact of Technology on Adolescents
article

Connectome-based predictive modelling of problematic gaming in youth from the ABCD study

Li Yan McCurdy, Jennifer J. Park, Cheryl Lacadie, Yihong Zhao, Marc N. Potenza
article en

Abstract

The identified large-scale networks predictive of problematic-gaming severity in adolescents may serve as promising targets for personalized and novel interventions. Before using these results to guide clinical advances, future research should use external samples to evaluate replicability of the identified network.

Journal of Behavioral Addictions
Yale University (US), Connecticut Mental Health Center (US), Columbia University (US)
Openalex Percentile: Top 86%
Impact of Technology on Adolescents
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