Cited by 55Smoking Behavior and CessationMindfulness and Compassion InterventionsSubstance Abuse Treatment and Outcomes

Quitting starts in the brain: a randomized controlled trial of app-based mindfulness shows decreases in neural responses to smoking cues that predict reductions in smoking

Open access
Janes, Amy C., Datko, Michael, Roy, Alexandra, Barton, Bruce, Druker, Susan, Neal, Carolyn, Ohashi, Kyoko, Benoit, Hanif +2 more·2019·Neuropsychopharmacology

Abstract

Current treatments for smoking yield suboptimal outcomes, partly because of an inability to reduce cue-induced smoking. Mindfulness training (MT) has shown preliminary efficacy for smoking cessation, yet its neurobiological target remains unknown. Our prior work with nonsmokers indicates that MT reduces posterior cingulate cortex (PCC) activity. In individuals who smoke, the PCC, consistently a main hub of the "default mode network," activates in response to smoking cues. In this randomized controlled trial, we tested the effects of app-delivered MT on PCC reactivity to smoking cues and whether individual differences in MT-mediated PCC changes predicted smoking outcomes. Smoking cue-induced PCC reactivity was measured using functional magnetic resonance imaging at baseline and 1 month after receiving smartphone app-based MT (n = 33) vs. an active control (National Cancer Institute's QuitGuide, n = 34). Whether individual differences in treatment-related changes in PCC activity predicted smoking behavior was assessed. The MT group demonstrated a significant correlation between a reduction in PCC reactivity to smoking cues and a decline in cigarette consumption (r = 0.39, p = 0.02). No association was found in the control group (r = 0.08, p = 0.65). No effects of group alone were found in PCC or cigarette reduction. Post hoc analysis revealed this association is sex specific (women, r = 0.49, p = 0.03; men: r = -0.08, p = 0.79). This initial report indicates that MT specifically reduces smoking cue-induced PCC activity in a subject-specific manner, and the reduction in PCC activity predicts a concurrent decline in smoking. These findings link the hypothesized behavioral effects of MT for smoking to neural mechanisms particularly in women. This lays the groundwork for identifying individuals who may benefit from targeted digital therapeutic treatments such as smartphone-based MT, yielding improved clinical outcomes.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41386-019-0403-y

Cites

62 of 62 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Increased mindfulness is proposed to alleviate cue-induced craving, increase top-down control, help emotional regulation, and reduce distress among individuals who use substances.

    “Increased mindfulness is proposed to alleviate cue-induced craving, increase top-down control, help emotional regulation, and reduce distress among individuals who use substances [43,44].”

    From Mindful moms: acceptability and impact of co-designed and digitally delivered video meditations for pregnant and parenting women with opioid use disorder (2025) · cites this paper as [43]

    The Introduction (page unavailable) proposes that mindfulness training helps smokers work with cue-induced affective states and avoid getting caught up in cravings; it also reports a decoupling of craving from smoking. This supports the claim’s general account of responding to cues, but the paper does not say that mindfulness increases top-down control or reduces distress, and its evidence centers on smokers rather than substance users generally. (LLM, conf=0.87)

    Experimental — accuracy not yet measured
  • In developing more mindful awareness to these processes, people can learn to be and work with unpleasant states, rather than avoid or react to them and perpetuate the habitual cycle of worry.

    “In developing more mindful awareness to these processes, people can learn to be and work with unpleasant states18,21,22, rather than avoid or react to them and perpetuate the habitual cycle of worry15,16.”
  • Mindfulness training has been found to mechanistically break key links in the reinforcement pathway for other habitual behaviors such as smoking and emotional eating, with concomitant changes in related brain regions predicting clinical outcomes.

    “MT has been found to mechanistically break key links in the reinforcement pathway for other habitual behaviors such as smoking and emotional eating [29,30], with concomitant changes in related brain regions predicting clinical outcomes [31].”
  • Human neuroscience documents restoration of functioning after abstinence and reveals predictors of clinical success.

    “Human neuroscience documents restoration of functioning after abstinence [40,41] and reveals predictors of clinical success [42].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Kaiser RH, Andrews-Hanna JR, Wager TD, Pizzagalli DA. Large-scale network dysfunction in major depressive disorder. JAMA Psychiatry. 2015;72:603.

Cited by

Sorted by citations

Authors
Janes, A. C., Datko, M., Roy, A., Barton, B., Druker, S., Neal, C., Ohashi, K., Benoit, H., van Lutterveld, R., & Brewer, J. A.
Affiliations
  • Harvard University (US)
  • Cambridge Health Alliance (US)
  • Brown University (US)
  • University of Massachusetts Chan Medical School (US)
  • University of Oklahoma - Tulsa (US)
Corresponding author
Brewer, Judson A.
Venue
Neuropsychopharmacology
Published
2019-04-30
Volume
44
Issue
9
Pages
1631-1638
ISSN
  • 0893-133X (ISSN-L)
  • 1740-634X
OpenAlex
W2943648060
Cited by
55
References
62
Citations by year
2026: 3 · 2025: 8 · 2024: 9 · 2023: 8 · 2022: 11 · 2021: 12 · 2020: 2 · 2019: 2
FWCI
4.63
Type
journal article
Language
en
Open access
Locations
  • Neuropsychopharmacology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • eScholarship@UMassChan (submittedVersion)
Funders
  • U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (K02DA042987)
  • U.S. Department of Health & Human Services | NIH | National Center for Complementary and Integrative Health (1R61AT009337-02S)
Topics
  • Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
  • Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
Keywords
mindfulness training, smoking cessation, smoking cues, posterior cingulate cortex, default mode network, cue reactivity, sex differences, digital therapeutics, individual differences in treatment response, cigarette consumption
MeSH terms
Cigarette Smoking, Adult, Brain, Cues, Female, Gyrus Cinguli, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Smoking Cessation, Functional Neuroimaging, Mobile Applications, Mindfulness

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review