Identification and Validation of Distinct Latent Neurodevelopmental Profiles in the Adolescent Brain and Cognitive Development Study
Overview
Authors
Affiliations
Background: Regardless of the precise mechanism, all neurodevelopmental models of risk assume that, at the population level, there exist subgroups of individuals that share similar patterns of neural function and development-and that these subgroups somehow relate to psychiatric risk. However, the existence of multiple neurodevelopmental subgroups at the population level has not been assessed previously.
Methods: In the current study, cross-validated latent profile analysis was used to test for the presence of empirically derived, brain-based developmental subgroups using functional magnetic resonance imaging data from 6758 individuals (49.4% female; mean age = 9.94 years) in the Adolescent Brain and Cognitive Development (ABCD) study wave 1 release. Data were randomly split into training and testing samples.
Results: Analyses in the training sample (n = 3379) identified a seven-profile solution (entropy = 0.880) that was replicated in the held-out testing data (n = 3379, entropy = 0.890). Identified subgroups included a moderate group (66.8%), high reward (4.3%) and low reward (4.0%) groups, high inhibition (9.8%) and low inhibition (6.7%) groups, and high emotion regulation (4.0%) and low emotion regulation (4.3%) groups. Relative to the moderate group, other subgroups were characterized by more males (χ = 24.10, p = .0005), higher proportions of individuals from lower-income households (χ = 122.17, p < .0001), poorer cognitive performance (ps < .0001), more screen time (F = 6.80, p < .0001), heightened impulsivity (ps < .006), and higher rates of neurodevelopmental disorders (χ = 26.20, p = .0002).
Conclusions: These data demonstrate the existence of multiple, distinct neurodevelopmental subgroups at the population level. They indicate that these empirically derived, brain-based developmental profiles relate to differences in clinical features, even at a young age, and prior to the peak period of risk for the development of psychopathology.
DeRosa J, Friedman N, Calhoun V, Banich M Neuroimage. 2024; 299:120827.
PMID: 39245397 PMC: 11779700. DOI: 10.1016/j.neuroimage.2024.120827.
Hanson J, Kahhale I, Sen S Dev Psychopathol. 2024; 36(5):2165-2172.
PMID: 38769837 PMC: 11579249. DOI: 10.1017/S0954579424001056.
Digital Media and Developing Brains: Concerns and Opportunities.
Hutton J, Piotrowski J, Bagot K, Blumberg F, Canli T, Chein J Curr Addict Rep. 2024; 11(2):287-298.
PMID: 38606363 PMC: 11003891. DOI: 10.1007/s40429-024-00545-3.
DeRosa J, Friedman N, Calhoun V, Banich M bioRxiv. 2024; .
PMID: 38559171 PMC: 10979961. DOI: 10.1101/2024.03.16.585343.
Kohler R, Zhornitsky S, Potenza M, Yip S, Worhunsky P, Angarita G Am J Drug Alcohol Abuse. 2024; 50(3):345-356.
PMID: 38551365 PMC: 11305926. DOI: 10.1080/00952990.2024.2318585.