Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Self-related neural response to tailored smoking-cessation messages predicts quitting

Abstract

Tailored health interventions can be more effective in eliciting positive behavior change than generic interventions, but the underlying neural mechanisms are not yet understood. Here, 91 smokers participated in a functional magnetic resonance imaging session and a tailored smoking-cessation program. We found that increases in activation in self-related processing regions, particularly dorsomedial prefrontal cortex, to tailored messages predicted quitting during a 4-month follow-up.

This is a preview of subscription content, access via your institution

Relevant articles

Open Access articles citing this article.

Access options

Buy article

Get time limited or full article access on ReadCube.

$32.00

All prices are NET prices.

Figure 1: Brain region activations during tailored messages associated with quitting.

References

  1. Lancaster, T. & Stead, L.F. Cochrane Database Syst. Rev. CD001118 (2005).

  2. Brug, J., Campbell, M. & van Assema, P. Patient Educ. Couns. 36, 145–156 (1999).

    CAS  Article  Google Scholar 

  3. Dijkstra, A. Health Educ. Res. 20, 527–539 (2005).

    Article  Google Scholar 

  4. Strecher, V. Annu. Rev. Clin. Psychol. 3, 53–76 (2007).

    Article  Google Scholar 

  5. Symons, C.S. & Johnson, B.T. Psychol. Bull. 121, 371–394 (1997).

    CAS  Article  Google Scholar 

  6. Northoff, G. & Bermpohl, F. Trends Cogn. Sci. 8, 102–107 (2004).

    Article  Google Scholar 

  7. Northoff, G. et al. Neuroimage 31, 440–457 (2006).

    Article  Google Scholar 

  8. Chua, H.F., Liberzon, I., Welsh, R.C. & Strecher, V.J. Biol. Psychiatry 65, 165–168 (2009).

    Article  Google Scholar 

  9. Strecher, V.J. et al. Am. J. Prev. Med. 34, 373–381 (2008).

    Article  Google Scholar 

  10. Velicer, W.F. & Prochaska, J.O. Addict. Behav. 29, 51–60 (2004).

    Article  Google Scholar 

  11. Schmitz, T.W. & Johnson, S.C. Neuroimage 30, 1050–1058 (2006).

    Article  Google Scholar 

  12. van der Meer, L., Costafreda, S., Aleman, A. & David, A.S. Neurosci. Biobehav. Rev. 34, 935–946 (2010).

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by National Institute of Drug Abuse grant R21-DA024429-01 to H.F.C. and V.J.S.

Author information

Authors and Affiliations

Authors

Contributions

H.F.C. performed all aspects of this study, including experimental design, data collection, analyses, interpretation and manuscript preparation. S.S.H. and A.J.J. assisted in the data analyses, interpretation and manuscript preparation. T.A.P., R.C.W. and I.L. contributed to the experiment design, data interpretation and manuscript preparation. V.J.S. contributed to the experimental design.

Corresponding author

Correspondence to Hannah Faye Chua.

Ethics declarations

Competing interests

Victor J Strecher is the Chief Visionary Officer and Founder of HealthMedia, a company that develops and licenses computer-tailored health promotion, disease prevention and disease management tools.

Supplementary information

Supplementary Text and Figures

Supplementary Figures 1–4, Supplementary Tables 1–5, Supplementary Results and Supplementary Methods (PDF 308 kb)

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Chua, H., Ho, S., Jasinska, A. et al. Self-related neural response to tailored smoking-cessation messages predicts quitting. Nat Neurosci 14, 426–427 (2011). https://doi.org/10.1038/nn.2761

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nn.2761

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing