Evidence map›Paper›PMID 39617343›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2025

Neural Signatures of Cognitive Control Predict Future Adolescent Substance Use Onset and Frequency.

Ya-Yun Chen, Morgan Lindenmuth, Tae-Ho Lee, Jacob Lee, Brooks Casas, Jungmeen Kim-Spoon

Abstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Ya-Yun ChenDepartment of Psychology, Virginia Tech, Blacksburg, Virginia.
Morgan LindenmuthDepartment of Psychology, Virginia Tech, Blacksburg, Virginia.
Tae-Ho LeeDepartment of Psychology, Virginia Tech, Blacksburg, Virginia; School of Neuroscience, Virginia Tech, Blacksburg, Virginia.
Jacob LeeFralin Biomedical Research Institute, Roanoke, Virginia.
Brooks CasasDepartment of Psychology, Virginia Tech, Blacksburg, Virginia; School of Neuroscience, Virginia Tech, Blacksburg, Virginia; Fralin Biomedical Research Institute, Roanoke, Virginia.
Jungmeen Kim-SpoonDepartment of Psychology, Virginia Tech, Blacksburg, Virginia; School of Neuroscience, Virginia Tech, Blacksburg, Virginia. Electronic address: jungmeen@vt.edu.

Funding

Neurobehavioral Determinants of Health Risk Behaviors: From Adolescence to Young AdulthoodR01DA036017 · NIDA · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI CASAS, BROOKS, KIM-SPOON, JUNGMEEN · 2013 to 2022
$7.2M
NIDA NIH HHS R01 DA036017
6 · The paper itself

Abstract

backgroundAdolescent substance use is a significant predictor of future addiction and related disorders. Understanding neural mechanisms underlying substance use initiation and frequency during adolescence is critical for early prevention and intervention.

methodsThe current longitudinal study followed 91 substance-naïve adolescents annually for 7 years from ages 14 to 21 years to identify potential neural precursors that predict substance use initiation and frequency. Cognitive control processes were examined using the Multi-Source Interference Task to assess functional neural connectivity. A questionnaire was used to assess substance use frequency.

resultsStronger connectivity between the dorsal anterior cingulate cortex (dACC) and dorsolateral prefrontal cortex (dlPFC) at time 1 predicted a delayed onset of substance use, indicative of a protective effect. A notable decline in this dACC-dlPFC connectivity was observed 1 year prior to substance use initiation. Conversely, lower connectivity of the dACC with the supplementary motor area and heightened connectivity of the anterior insula with the dorsal medial prefrontal cortex and angular gyrus were predictive of greater frequency of future substance use. These findings remained after controlling for demographic and socioeconomic covariates.

conclusionsThis study highlights the critical role of cognitive control-related neural connectivity in predicting substance use initiation and frequency during adolescence. The results imply that efforts to strengthen and monitor the development of the top-down cognitive control system in the brain from early adolescence can be protective and deter progression into problematic substance use. Furthermore, for adolescents with heightened frequency of substance use, interventions may prove more effective by targeting interoceptive processes in cognitive control training.

Indexed as

Adolescent BehaviorBrainCognitionDorsolateral Prefrontal CortexExecutive FunctionGyrus CinguliSubstance-Related DisordersAdolescentFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleNeural PathwaysPrefrontal CortexYoung AdultCognitive controlFunctional connectivityFunctional magnetic resonance imaging (fMRI)Longitudinal studySalience NetworkSubstance use onset

Identifiers

PMID39617343
PMCPMC12550502

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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.