Computer training that reduced cannabis approach bias didn't change brain cue responses in teens

Although a computerized approach avoidance training reduced cannabis use in a larger trial, brain imaging in a subsample of 37 youth showed no significant changes in neural cannabis cue reactivity, with only trend-level decreases in amygdala and prefrontal activation.

Karoly, Hollis C et al.·Drug and alcohol dependence·2019·Preliminary EvidenceRandomized Controlled Trial
RTHC-02096Randomized Controlled TrialPreliminary Evidence2019RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
Randomized Controlled Trial
Evidence
Preliminary Evidence
Sample
N=19

What This Study Found

CAAT training shifted approach bias toward avoidance while sham training increased approach bias (trend p=0.055). However, no significant neural changes emerged on fMRI between CAAT and sham groups. Small-to-medium effect sizes were observed for decreased amygdala (d=0.36) and medial prefrontal (d=0.48) activation to cannabis cues in the CAAT group.

Key Numbers

37 youth completed all sessions with usable imaging. CAAT: n=19, sham: n=18. Approach bias shift: trend p=0.055. No significant fMRI changes. Effect sizes: amygdala d=0.36, mPFC d=0.48 (small-to-medium, non-significant).

How They Did This

Sub-study of a larger RCT: 37 cannabis-using youth (ages 17-21) completed pre and post fMRI scans around 6 sessions of CAAT (n=19) or sham training (n=18), with cannabis cue reactivity task.

Why This Research Matters

Computer-based interventions are attractive because they're scalable and cheap. While this particular approach reduced cannabis use behaviorally, the brain mechanism appears not to involve changes in cue reactivity, meaning the intervention may work through other neural pathways.

The Bigger Picture

This is an honest null result. The intervention worked clinically (in the larger trial) but not through the hypothesized brain mechanism (cue reactivity). This kind of finding is crucial for understanding which component of treatment actually drives behavior change.

What This Study Doesn't Tell Us

Very small neuroimaging subsample (n=37). The larger trial showed behavioral effects; the subsample may have been underpowered to detect neural changes. Only examined cue reactivity; other neural measures might show changes. Non-treatment-seeking sample.

Questions This Raises

  • ?Through what neural mechanisms does approach avoidance training reduce cannabis use if not cue reactivity?
  • ?Would more training sessions produce neural changes?
  • ?Could combining CAAT with other interventions amplify both behavioral and neural effects?

Trust & Context

Key Stat:
Training reduced cannabis use but didn't significantly change brain cue responses (d=0.36-0.48)
Evidence Grade:
Preliminary: small randomized substudy nested within a larger RCT, with non-significant primary outcomes.
Study Age:
Published in 2019.
Original Title:
Preliminary evidence that computerized approach avoidance training is not associated with changes in fMRI cannabis cue reactivity in non-treatment-seeking adolescent cannabis users.
Published In:
Drug and alcohol dependence, 200, 145-152 (2019)
Database ID:
RTHC-02096

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled TrialGold standard for testing treatments
This study
Cohort / Case-Control
Cross-Sectional / Observational
Case Report / Animal Study

Participants are randomly assigned to treatment or placebo groups to test cause and effect.

What do these levels mean? →

Frequently Asked Questions

Can computer training help teens use less cannabis?

The larger trial found yes, approach avoidance training reduced cannabis use. But this brain imaging substudy found the training didn't significantly change neural responses to cannabis cues, suggesting the behavioral benefit works through a different mechanism.

Why didn't the brain changes match the behavioral changes?

Either the study was too small to detect real but subtle neural changes, or the training works through pathways other than cue reactivity. The small-to-medium effect sizes in the amygdala and prefrontal cortex suggest some signal that larger studies might confirm.

Read More on RethinkTHC

Cite This Study

RTHC-02096·https://rethinkthc.com/research/RTHC-02096

APA

Karoly, Hollis C; Schacht, Joseph P; Jacobus, Joanna; Meredith, Lindsay R; Taylor, Charles T; Tapert, Susan F; Gray, Kevin M; Squeglia, Lindsay M. (2019). Preliminary evidence that computerized approach avoidance training is not associated with changes in fMRI cannabis cue reactivity in non-treatment-seeking adolescent cannabis users.. Drug and alcohol dependence, 200, 145-152. https://doi.org/10.1016/j.drugalcdep.2019.04.007

MLA

Karoly, Hollis C, et al. "Preliminary evidence that computerized approach avoidance training is not associated with changes in fMRI cannabis cue reactivity in non-treatment-seeking adolescent cannabis users.." Drug and alcohol dependence, 2019. https://doi.org/10.1016/j.drugalcdep.2019.04.007

RethinkTHC

RethinkTHC Research Database. "Preliminary evidence that computerized approach avoidance tr..." RTHC-02096. Retrieved from https://rethinkthc.com/research/karoly-2019-preliminary-evidence-that-computerized

Access the Original Study

Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.

This study breakdown was produced by the RethinkTHC research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.