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Identification and Validation of Distinct Latent Neurodevelopmental Profiles in the Adolescent Brain and Cognitive Development Study.
Lichenstein, Sarah D; Roos, Corey; Kohler, Robert; Kiluk, Brian; Carroll, Kathleen M; Worhunsky, Patrick D; Witkiewitz, Katie; Yip, Sarah W.
Afiliación
  • Lichenstein SD; Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut. Electronic address: sarah.lichenstein@yale.edu.
  • Roos C; Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
  • Kohler R; Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
  • Kiluk B; Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
  • Carroll KM; Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
  • Worhunsky PD; Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
  • Witkiewitz K; Department of Psychology, University of New Mexico, Albuquerque, New Mexico.
  • Yip SW; Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut; Child Study Center, Yale School of Medicine, New Haven, Connecticut. Electronic address: sarah.yip@yale.edu.
Article en En | MEDLINE | ID: mdl-33706021
ABSTRACT

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 (χ2 = 24.10, p = .0005), higher proportions of individuals from lower-income households (χ2 = 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 (χ2 = 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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Cognición Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Child / Female / Humans / Male Idioma: En Revista: Biol Psychiatry Cogn Neurosci Neuroimaging Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Cognición Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Child / Female / Humans / Male Idioma: En Revista: Biol Psychiatry Cogn Neurosci Neuroimaging Año: 2022 Tipo del documento: Article