Functional brain imaging predicts public health campaign success

Social Cognitive and Affective Neuroscience

Volumn 11, Issue 2, 2015, Pages 204-214

  Falk, Emily B ^a,b   O'Donnell, Matthew Brook ^a   Tompson, Steven ^b   Gonzalez, Richard ^b   Dal Cin, Sonya D ^b   Strecher, Victor ^b   Cummings, Kenneth Michael ^c   An, Lawrence ^b,d  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

^c MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^d UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

FMRI; health communication; media effects; MPFC; self; smoking

Indexed keywords

ADULT; AGED; BRAIN; FEMALE; FUNCTIONAL NEUROIMAGING; HEALTH PROMOTION; HUMAN; MALE; MASS MEDIUM; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PSYCHOLOGY; PUBLIC HEALTH; SELF REPORT; SMOKING; SMOKING CESSATION; YOUNG ADULT;

ADULT; AGED; BRAIN; FEMALE; FUNCTIONAL NEUROIMAGING; HEALTH PROMOTION; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MASS MEDIA; MIDDLE AGED; PUBLIC HEALTH; SELF REPORT; SMOKING; SMOKING CESSATION; YOUNG ADULT;

EID: 84959179813     PISSN: 17495016     EISSN: 17495024     Source Type: Journal    
DOI: 10.1093/scan/nsv108     Document Type: Article

References (50)

1. Anderson, N.H. (1968). Likeableness rating of 555 personalitytrait words. Journal of Personality and Social Psychology, 9, 272-9.
2. Ariely, D., Berns, G.S. (2010). Neuromarketing: the hope and hype of neuroimaging in business. Nature Reviews Neuroscience, 11(4), 284-92.
3. Bartra, O., McGuire, J.T., Kable, J.W. (2013). The valuation system: a coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value. Neuroimage, 76, 412-27.
4. Berkman, E.T., Falk, E.B. (2013). Beyond brain mapping: using the brain to predict real-world outcomes. Current Directions in Psychological Science, 22(1), 45-55.
5. Berns, G.S., Moore, S.E. (2012). A neural predictor of cultural popularity. Journal of Consumer Psychology, 22, 154-60.
6. Boksem, M.A.S., Smidts, A. (2015). Brain responses to movie trailers predict individual preferences for movies and their population-wide commercial success. Journal of Marketing Research, 52(4), 482-92.
7. Brett, M., Anton, J., Valabregue, R., Poline, J. (2002). Region of interest analysis using an SPM toolbox. Paper presented at the The 8th International Conference on Functional Mapping of the Human Brain, Sendai, Japan.
8. Chua, H.F., Ho, S.S., Jasinska, A.J., et al. (2011). Self-related neural response to tailored smoking-cessation messages predicts quitting. Nature Neuroscience, 14(4), 426-7.
9. Cohen, G.L., Sherman, D.K. (2014). The psychology of change: self-affirmation and social psychological intervention. Annual Review of Psychology, 65, 333-71.
10. Cooper, N., Tompson, S., O'Donnell, M.B., Falk, E.B. (2015). Brain activity in self-and value-related regions in response to online antismoking messages predicts behavior change. Journal of Media Psychology, 27(3), 93-108.
11. Denny, B.T., Kober, H., Wager, T.D., Ochsner, K.N. (2012). A metaanalysis of functional neuroimaging studies of self-and other judgments reveals a spatial gradient for mentalizing in medial prefrontal cortex. Journal of Cognitive Neuroscience, 24(8), 1742-52.
12. Dmochowski, J.P., Bezdek, M.A., Abelson, B.P., Johnson, J.S., Schumacher, E.H., Parra, L.C. (2014). Audience preferences are predicted by temporal reliability of neural processing. Nature Communications, 5, 4567.
13. Do, K.T., Galvan, A. (2015). FDA cigarette warning labels lower craving and elicit frontoinsular activation in adolescent smokers. Social Cognitive and Affective Neuroscience, 10(11), 1484-96.
14. Earl, A., Albarracin, D. (2007). Nature, decay, and spiraling of the effects of fear-inducing arguments and HIV counseling and testing: a meta-analysis of the short-and long-term outcomes of HIV-prevention interventions. Health Psychology, 26(4), 496-506.
15. Ezzati, M., Lopez, A.D., Rodgers, A., Vander Hoorn, S., Murray, C.J. (2002). Selected major risk factors and global and regional burden of disease. Lancet, 360(9343), 1347-60.
16. Falk, E.B., Berkman, E.T., Lieberman, M.D. (2012). From neural responses to population behavior neural focus group predicts population-level media effects. Psychological science, 23(5), 439-45.
17. Falk, E.B., Berkman, E.T., Mann, T., Harrison, B., Lieberman, M.D. (2010). Predicting persuasion-induced behavior change from the brain. Journal of Neuroscience, 30(25), 8421-4.
18. Falk, E.B., Berkman, E.T., Whalen, D., Lieberman, M.D. (2011). Neural activity during health messaging predicts reductions in smoking above and beyond self-report. Health Psychology, 30(2), 177-85.
19. Fathelrahman, A.I., Omar, M., Awang, R., Cummings, K.M., Borland, R., Bin Mohd Samin, A.S. (2010). Impact of the new Malaysian cigarette pack warnings on smokers' awareness of health risks and interest in quitting smoking. International Journal of Environmental Research Public Health, 7(11), 4089-99.
20. Hammond, D., Fong, G.T., McDonald, P.W., Cameron, R., Brown, K.S. (2003). Impact of the graphic Canadian warning labels on adult smoking behaviour. Tobacco Control, 12(4), 391-5.
21. Hammond, D., Fong, G.T., McNeill, A., Borland, R., Cummings, K.M. (2006). Effectiveness of cigarette warning labels in informing smokers about the risks of smoking: findings from the international tobacco control (ITC) four country survey. Tobacco Control, 15(Suppl 3), iii19-25.
22. Hammond, D., McDonald, P.W., Fong, G.T., Brown, K.S., Cameron, R. (2004). The impact of cigarette warning labels and smoke-free bylaws on smoking cessation: evidence from former smokers. Canadian Journal of Public Health, 95(3), 201-4.
23. Iman, R.L., Conover, W.J. (1979). The use of the rank transform in regression. Technometrics, 21, 499-509.
24. Keeney, R.L. (2008). Personal decisions are the leading cause of death. Operations Research, 56(6), 1335-47.
25. Leventhal, H., Safer, M.A., Panagis, D.M. (1983). The impact of communications on the self-regulation of health beliefs, decisions, and behavior. Health Education Quarterly, 10(1), 3-29.
26. Levy, D.J., Glimcher, P.W. (2012). The root of all value: a neural common currency for choice. Current Opinion in Neurobiology, 22(6), 1027-38.
27. Lieberman, M.D. (2010). Social cognitive neuroscience. In: Fiske, S., Gilbert, D., Lindzey, G., editors. Handbook of Social Psychology, 5th edn, 143-93. New York: McGraw-Hill.
28. Liu, X., Hairston, J., Schrier, M., Fan, J. (2011). Common and distinct networks underlying reward valence and processing stages: a meta-analysis of functional neuroimaging studies. Neuroscience and Biobehavioral Reviews, 35(5), 1219-36.
29. Mokdad, A.H., Marks, J.S., Stroup, D.F., Gerberding, J.L. (2004). Actual causes of death in the United States, 2000. JAMA, 291(10), 1238-45.
30. Myung, S.K., McDonnell, D.D., Kazinets, G., Seo, H.G., Moskowitz, J.M. (2009). Effects of Web-and computer-based smoking cessation programs: meta-analysis of randomized controlled trials. Archives of Internal Medicine, 169(10), 929-37.
31. NHS. (2004). The effectiveness of public health campaigns. Health Development Agency Briefing, 7. Available: http://www. nice.org.uk/niceMedia/documents/CHB7-campaigns-14-7.pdf (accessed 8 October 2013).
32. Noar, S.M. (2006). A 10-year retrospective of research in health mass media campaigns: where do we go from here? Journal of Health Communication, 11, 21-42.
33. Northoff, G., Bermpohl, F. (2004). Cortical midline structures and the self. Trends in Cognitive Sciences, 8(3), 102-7.
34. Northoff, G., Heinzel, A., de Greck, M., Bermpohl, F., Dobrowolny, H., Panksepp, J. (2006). Self-referential processing in our brain-a meta-analysis of imaging studies on the self. Neuroimage, 31(1), 440-57.
35. Peters, G.J., Ruiter, R.A., Kok, G. (2013). Threatening communication: a critical re-analysis and a revised meta-analytic test of fear appeal theory. Health Psychology Review, 7(Suppl 1), S8-31.
36. Poldrack, R. (2006). Can cognitive processes be inferred from neuroimaging data? Trends in Cognitive Sciences, 10(2), 59-63.
37. R Development Core Team. (2014). R: A Language and Environment for Statistical Computing. Vienna, Austria.
38. Richardson, A., Graham, A.L., Cobb, N., et al. (2013). Engagement promotes abstinence in a web-based cessation intervention: cohort study. Journal of Medical Internet Research, 15(1), e14.
39. Rosenstock, I.M. (1974). The health belief model and preventive health behavior. Health Education Monographs, 2(4), 354-86.
40. Schmitz, T.W., Johnson, S.C. (2006). Self-appraisal decisions evoke dissociated dorsal-ventral aMPFC networks. Neuroimage, 30(3), 1050-8.
41. Sherman, D.K. (2013). Self-affirmation: understanding the effects. Social and Personality Psychology Compass, 7(11), 834-45.
42. Strecher, V.J., Rosenstock, I.M. (1997). The health belief model. In: Baum, A., Newman, S., Weinman, J., West, R., McManus, C., editors. Cambridge Handbook of Psychology, Health and Medicine, 113-7. Cambridge: Cambridge University Press.
43. Thrasher, J.F., Arillo-Santillan, E., Villalobos, V., et al. (2012). Can pictorial warning labels on cigarette packages address smoking-related health disparities? Field experiments in Mexico to assess pictorial warning label content. Cancer Causes Control, 23(Suppl 1), 69-80.
44. Wakefield, M.A., Loken, B., Hornik, R.C. (2010). Use of mass media campaigns to change health behaviour. Lancet, 376(9748), 1261-71.
45. Wang, A.L., Romer, D., Elman, I., Turetsky, B.I., Gur, R.C., Langleben, D.D. (2015). Emotional graphic cigarette warning labels reduce the electrophysiological brain response to smoking cues. Addiction Biology, 20(2), 368-76.
46. Wang, A.L., Ruparel, K., Loughead, J.W., et al. (2013). Content matters: neuroimaging investigation of brain and behavioral impact of televised anti-tobacco public service announcements. Journal of Neuroscience, 33(17), 7420-7.
47. Ward, B.D. (2000). Simulateneous Inference for FMRI Data (AlphaSim) (Version AlphaSim: AFNI version=AFNI _2011_12_21_1014 (Jan 28 2012)): Biophysics Research Institute, Medical College of Wisconsin. Retrieved from http://afni.nimh. nih.gov/pub/dist/doc/manual/AlphaSim.pdf.
48. Witte, K., Allen, M. (2000). A meta-analysis of fear appeals: implications for effective public health campaigns. Health Education & Behavior, 27(5), 591-615.
49. Yarkoni, T., Poldrack, R.A., Nichols, T.E., Van Essen, D.C., Wager, T.D. (2011). Large-scale automated synthesis of human functional neuroimaging data. Nature Methods, 8(8), 665-70.
50. Zhao, X., Strasser, A., Cappella, J.N., Lerman, C., Fishbein, M. (2011). A measure of perceived argument strength: reliability and validity. Communication Methods and Measures, 5(1), 48-75.