Evidence map›Paper›PMID 26400858›Full record

ArticleSocial cognitive and affective neuroscience2016

Functional brain imaging predicts public health campaign success.

Emily B Falk, Matthew Brook O'Donnell, Steven Tompson, Richard Gonzalez, Sonya Dal Cin, Victor Strecher, Kenneth Michael Cummings, Lawrence An

Registry-linked trialAbstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04279483 (Geo Smoking Study and Neural and Geospatial Examination of Smokers' Exposure to Retail Environments), which is not on this map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04279483 nacompletednot on this mapstarted 2019, after this paper: background citation

Geo Smoking Study and Neural and Geospatial Examination of Smokers' Exposure to Retail Environments

TypeinterventionalSponsorAbramson Cancer Center at Penn MedicineRan2019 to 2024Enrolled343ConditionsSmoking, Tobacco, Smoking, Smoking, CigaretteArmsTobacco retailer, Non-tobacco retailer
3 · Its place in the literature

Who cites it

52 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Neural Processes Linking Interoception to Moral Preferences Aligned with Group Consensus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Brain activity of professional investors signals future stock performance.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. Article
  11. Review
  12. Decision neuroscience and neuroeconomics: Recent progress and ongoing challenges.Wiley interdisciplinary reviews. Cognitive science · 2022
    Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Observational
  20. Brain activity forecasts video engagement in an internet attention market.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Emily B FalkAnnenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104, USA, Research Center for Group Dynamics, Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA, falk@asc.upenn.edu.
Matthew Brook O'DonnellAnnenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104, USA.
Steven TompsonDepartment of Psychology, University of Michigan, Ann Arbor, MI 48109, USA.
Richard GonzalezResearch Center for Group Dynamics, Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA, Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA.
Sonya Dal CinResearch Center for Group Dynamics, Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA, Department of Communication Studies and.
Victor StrecherCenter for Health Communications Research, University of Michigan, Ann Arbor, MI 48109, USA.
Kenneth Michael CummingsDepartment of Psychiatry & Behavioral Sciences, Medical University of South Carolina, Charleston, SC 29425, USA and.
Lawrence AnCenter for Health Communications Research, University of Michigan, Ann Arbor, MI 48109, USA, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Evan T Keller · 1988 to 2026
$178.2M
Training / Career DevelopmentP50CA101451 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI STRECHER, VICTOR J · 2003 to 2012
$18.2M
Can neuroscience dramatically improve our ability to design health communicationsDP2DA035156 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI FALK, EMILY · 2012 to 2012
$2.3M
NCI NIH HHS P30 CA046592NCI NIH HHS P50 CA101451NIDA NIH HHS 1DP2DA03515601NIDA NIH HHS DP2 DA035156
6 · The paper itself

Abstract

Mass media can powerfully affect health decision-making. Pre-testing through focus groups or surveys is a standard, though inconsistent, predictor of effectiveness. Converging evidence demonstrates that activity within brain systems associated with self-related processing can predict individual behavior in response to health messages. Preliminary evidence also suggests that neural activity in small groups can forecast population-level campaign outcomes. Less is known about the psychological processes that link neural activity and population-level outcomes, or how these predictions are affected by message content. We exposed 50 smokers to antismoking messages and used their aggregated neural activity within a 'self-localizer' defined region of medial prefrontal cortex to predict the success of the same campaign messages at the population level (n = 400,000 emails). Results demonstrate that: (i) independently localized neural activity during health message exposure complements existing self-report data in predicting population-level campaign responses (model combined R(2) up to 0.65) and (ii) this relationship depends on message content-self-related neural processing predicts outcomes in response to strong negative arguments against smoking and not in response to compositionally similar neutral images. These data advance understanding of the psychological link between brain and large-scale behavior and may aid the construction of more effective media health campaigns.

Indexed as

Health PromotionMass MediaAdultAgedBrainFemaleFunctional NeuroimagingHumansMagnetic Resonance ImagingMaleMiddle AgedPublic HealthSelf ReportSmokingSmoking CessationYoung AdultfMRIhealth communicationmedia effectsMPFCselfsmoking

Identifiers

PMID26400858
PMCPMC4733336

What OpenQuestion holds

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Registered trials

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.