eLifeNeurosciencePeer-reviewed journal article
A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use
Yihe WengiD, Johann Kruschwitz, Laura M. Rueda‐DelgadoiD, Kathy L. RuddyiD, Rory Thomas BoyleiD, Luisa Franzen, Emin SeriniD, Tochukwu NwezeiD, Jamie Lars HansoniD, Alannah Smyth, Tom FarnaniD, Tobias BanaschewskiiD, Arun L.W. BokdeiD, Sylvane DesrivièresiD, Herta FloriD, Antoine GrigisiD, Hugh GaravaniD, Penny Anne GowlandiD, Andreas HeinziD, Rüdiger BrühliD, Jean‐Luc MartinotiD, Marie‐Laure Paillère MartinotiD, Eric Artiges AiD, Jane McGrathiD, Frauke NeesiD, , Robert WhelaniD
Abstract
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairment in sustained attention was a predictor of substance-use or a marker of the inclination to engage in such behaviour. This study explored the relationship between sustained attention and substance use across a longitudinal span from ages 14 to 23 in over 1,000 participants. Behaviours and brain connectivity associated with diminished sustained attention at age 14 predicted subsequent increases in cannabis and cigarette smoking, establishing sustained attention as a robust biomarker for vulnerability to substance use. Individual differences in network strength relevant to sustained attention were preserved across developmental stages and sustained attention networks generalized to participants in an external dataset. In summary, brain networks of sustained attention are robust, consistent, and able to predict aspects of later substance use. TeaserA robust brain network for sustained attention at age 14 predicts cigarette and cannabis use from ages 14 to 23.
- organism: human
- assay: electronic health records
- research focus: benchmarking
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 2
- FWCI
- 0.48
- Field percentile
- top 42%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Connectome-Based Predictive Modeling of Concurrent and Prospective Substance Use in Adolescence
João F. Guassi Moreira, Nicholas A. Allgaier, … Damien A. Fair·Developmental Cognitive NeurosciencePeer-reviewed·Feb 5, 2026
- Associations between regular cannabis use and brain resting-state functional connectivity in adolescents and adults
Natalie Ertl, Will Lawn, … Matthew B. Wall·Journal of PsychopharmacologyPeer-reviewed·Jul 29, 2023
- Behavioral and brain signatures of substance use vulnerability in childhood
Kristina M. Rapuano, Monica D. Rosenberg, … B.J. Casey·Developmental Cognitive NeurosciencePeer-reviewed·Nov 2, 2020
- Cannabis, Connectivity, and Coming of Age: Associations between Cannabis Use and Anterior Cingulate Cortex Connectivity during the Transition to Adulthood
Sarah D. Lichenstein, Daniel S. Shaw, Erika E. Forbes·Frontiers in Human NeurosciencePeer-reviewed·Nov 11, 2022
- Longitudinal fMRI reveals altered developmental trajectories of functional network organisation associated with adolescent cannabis use
Elizabeth J Davies, Natalie Ertl, … Matthew B. Wall·bioRxiv·Oct 24, 2026
- Adolescent substance use and functional connectivity between the ventral striatum and hippocampus
Edward D. Huntley, Hilary A. Marusak, … Christine A. Rabinak·Behavioural Brain ResearchPeer-reviewed·May 12, 2020