Evidence map›Paper›PMID 33706021›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2022

Identification and Validation of Distinct Latent Neurodevelopmental Profiles in the Adolescent Brain and Cognitive Development Study.

Sarah D Lichenstein, Corey Roos, Robert Kohler, Brian Kiluk, Kathleen M Carroll, Patrick D Worhunsky, Katie Witkiewitz, Sarah W Yip

Abstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Article
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  5. Stimulant medications in children with ADHD normalize the structure of brain regions associated with attention and reward.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
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  8. Developmental deviation in delay discounting as a transdiagnostic indicator of risk for child psychopathology.Journal of child psychology and psychiatry, and allied disciplines · 2024
    Article
  9. Review
  10. Longitudinal relationships between lifestyle risk factors and neurodevelopment in early adolescence.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Sarah D LichensteinDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut. Electronic address: sarah.lichenstein@yale.edu.
Corey RoosDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Robert KohlerDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Brian KilukDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Kathleen M CarrollDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Patrick D WorhunskyDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Katie WitkiewitzDepartment of Psychology, University of New Mexico, Albuquerque, New Mexico.
Sarah W YipDepartment 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.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Research Training Fellowship in Substance use and Addiction (RTFSA)T32DA007238 · NIDA · YALE UNIVERSITY · PI BRIAN D. KILUK, ISMENE L. PETRAKIS · 1988 to 2026
$5.7M
Neuroimaging Sciences Training ProgramT32DA022975 · NIDA · YALE UNIVERSITY · PI Graeme F Mason, Rajita Sinha · 2007 to 2026
$5.7M
Development of the Stimulant Use Disorder Severity ScaleU01DA051639 · NIDA · YALE UNIVERSITY · PI KILUK, BRIAN D. · 2020 to 2023
$1.8M
Connectome-based neuromarkers of problem cannabis useK08DA051667 · NIDA · YALE UNIVERSITY · PI LICHENSTEIN, SARAH D. · 2020 to 2024
$959k
Neural mechanisms of galantamine treatment for cocaine dependenceK01DA039299 · NIDA · YALE UNIVERSITY · PI YIP, SARAH · 2016 to 2020
$905k
Investigation of neurofunctional reorganization in cocaine addiction using mGluR5 PET and fMRIK01DA042998 · NIDA · YALE UNIVERSITY · PI WORHUNSKY, PATRICK D · 2017 to 2021
$900k
Web-Based Mindfulness Treatment to Prevent Relapse to Substance UseK23AT011342 · NCCIH · YALE UNIVERSITY · PI ROOS, COREY · 2020 to 2024
$823k
Integrating Cognitive Neuroscience Toward Understanding of Mechanisms of CBT for Alcohol Use DisordersK02AA027300 · NIAAA · YALE UNIVERSITY · PI KILUK, BRIAN D. · 2019 to 2023
$719k
NCATS NIH HHS UL1 TR001863NCCIH NIH HHS K23 AT011342NIAAA NIH HHS K02 AA027300NIDA NIH HHS K01 DA039299NIDA NIH HHS K01 DA042998NIDA NIH HHS K08 DA051667NIDA NIH HHS T32 DA007238NIDA NIH HHS T32 DA022975NIDA NIH HHS U01 DA051639
6 · The paper itself

Abstract

backgroundRegardless 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.

methodsIn 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.

resultsAnalyses 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

conclusionsThese 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.

Indexed as

BrainCognitionAdolescentChildFemaleHumansInhibition, PsychologicalMagnetic Resonance ImagingMaleRewardAdolescencefMRILatent profile analysisPsychopathologyRisk factorsSplit-half validation

Identifiers

PMID33706021
PMCPMC8426420

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.