Literature DB >> 23616548

Content matters: neuroimaging investigation of brain and behavioral impact of televised anti-tobacco public service announcements.

An-Li Wang1, Kosha Ruparel, James W Loughead, Andrew A Strasser, Shira J Blady, Kevin G Lynch, Dan Romer, Joseph N Cappella, Caryn Lerman, Daniel D Langleben.   

Abstract

Televised public service announcements are video ads that are a key component of public health campaigns against smoking. Understanding the neurophysiological correlates of anti-tobacco ads is an important step toward novel objective methods of their evaluation and design. In the present study, we used functional magnetic resonance imaging (fMRI) to investigate the brain and behavioral effects of the interaction between content ("argument strength," AS) and format ("message sensation value," MSV) of anti-smoking ads in humans. Seventy-one nontreatment-seeking smokers viewed a sequence of 16 high or 16 low AS ads during an fMRI scan. Dependent variables were brain fMRI signal, the immediate recall of the ads, the immediate change in intentions to quit smoking, and the urine levels of a major nicotine metabolite cotinine at a 1 month follow-up. Whole-brain ANOVA revealed that AS and MSV interacted in the inferior frontal, inferior parietal, and fusiform gyri; the precuneus; and the dorsomedial prefrontal cortex (dMPFC). Regression analysis showed that the activation in the dMPFC predicted the urine cotinine levels 1 month later. These results characterize the key brain regions engaged in the processing of persuasive communications and suggest that brain fMRI response to anti-smoking ads could predict subsequent smoking severity in nontreatment-seeking smokers. Our findings demonstrate the importance of the quality of content for objective ad outcomes and suggest that fMRI investigation may aid the prerelease evaluation of televised public health ads.

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Year:  2013        PMID: 23616548      PMCID: PMC3773220          DOI: 10.1523/JNEUROSCI.3840-12.2013

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  66 in total

1.  Biochemical verification of tobacco use and cessation.

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Journal:  Nicotine Tob Res       Date:  2002-05       Impact factor: 4.244

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Authors:  Mark Jenkinson; Peter Bannister; Michael Brady; Stephen Smith
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

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Authors:  H E M den Ouden; U Frith; C Frith; S-J Blakemore
Journal:  Neuroimage       Date:  2005-06-17       Impact factor: 6.556

4.  Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.

Authors:  K K Kwong; J W Belliveau; D A Chesler; I E Goldberg; R M Weisskoff; B P Poncelet; D N Kennedy; B E Hoppel; M S Cohen; R Turner
Journal:  Proc Natl Acad Sci U S A       Date:  1992-06-15       Impact factor: 11.205

Review 5.  The neural basis of inhibition in cognitive control.

Authors:  Adam R Aron
Journal:  Neuroscientist       Date:  2007-06       Impact factor: 7.519

6.  The theory of planned behavior and smoking cessation.

Authors:  P Norman; M Conner; R Bell
Journal:  Health Psychol       Date:  1999-01       Impact factor: 4.267

7.  Predicting persuasion-induced behavior change from the brain.

Authors:  Emily B Falk; Elliot T Berkman; Traci Mann; Brittany Harrison; Matthew D Lieberman
Journal:  J Neurosci       Date:  2010-06-23       Impact factor: 6.167

8.  Neural activity during health messaging predicts reductions in smoking above and beyond self-report.

Authors:  Emily B Falk; Elliot T Berkman; Danielle Whalen; Matthew D Lieberman
Journal:  Health Psychol       Date:  2011-03       Impact factor: 4.267

Review 9.  Searching for a baseline: functional imaging and the resting human brain.

Authors:  D A Gusnard; M E Raichle; M E Raichle
Journal:  Nat Rev Neurosci       Date:  2001-10       Impact factor: 34.870

10.  Investigating the functional heterogeneity of the default mode network using coordinate-based meta-analytic modeling.

Authors:  Angela R Laird; Simon B Eickhoff; Karl Li; Donald A Robin; David C Glahn; Peter T Fox
Journal:  J Neurosci       Date:  2009-11-18       Impact factor: 6.167

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  38 in total

1.  Functional brain imaging predicts public health campaign success.

Authors:  Emily B Falk; Matthew Brook O'Donnell; Steven Tompson; Richard Gonzalez; Sonya Dal Cin; Victor Strecher; Kenneth Michael Cummings; Lawrence An
Journal:  Soc Cogn Affect Neurosci       Date:  2015-09-23       Impact factor: 3.436

Review 2.  Integrating ecological momentary assessment and functional brain imaging methods: new avenues for studying and treating tobacco dependence.

Authors:  Stephen J Wilson; Joshua M Smyth; Robert R MacLean
Journal:  Nicotine Tob Res       Date:  2013-10-16       Impact factor: 4.244

3.  FDA cigarette warning labels lower craving and elicit frontoinsular activation in adolescent smokers.

Authors:  Kathy T Do; Adriana Galván
Journal:  Soc Cogn Affect Neurosci       Date:  2015-04-17       Impact factor: 3.436

Review 4.  Perceived Message Effectiveness Meets the Requirements of a Reliable, Valid, and Efficient Measure of Persuasiveness.

Authors:  Joseph N Cappella
Journal:  J Commun       Date:  2018-08-28

5.  Brain Activity Tracks Population Information Sharing by Capturing Consensus Judgments of Value.

Authors:  B P Doré; C Scholz; E C Baek; J O Garcia; M B O'Donnell; D S Bassett; J M Vettel; E B Falk
Journal:  Cereb Cortex       Date:  2019-07-05       Impact factor: 5.357

6.  Individual differences in the processing of smoking-cessation video messages: An imaging genetics study.

Authors:  Zhenhao Shi; An-Li Wang; Catherine A Aronowitz; Daniel Romer; Daniel D Langleben
Journal:  Biol Psychol       Date:  2017-07-28       Impact factor: 3.251

Review 7.  Neuroimaging the Effectiveness of Substance Use Disorder Treatments.

Authors:  Elizabeth A Cabrera; Corinde E Wiers; Elsa Lindgren; Gregg Miller; Nora D Volkow; Gene-Jack Wang
Journal:  J Neuroimmune Pharmacol       Date:  2016-05-16       Impact factor: 4.147

8.  Communicating with Sensation Seekers: An fMRI Study of Neural Responses to Antidrug Public Service Announcements.

Authors:  Lewis Donohew; Michelle DiBartolo; Xun Zhu; Chelsie Benca; Elizabeth Lorch; Seth M Noar; Thomas H Kelly; Jane E Joseph
Journal:  Health Commun       Date:  2017-06-16

9.  Emotional graphic cigarette warning labels reduce the electrophysiological brain response to smoking cues.

Authors:  An-Li Wang; Dan Romer; Igor Elman; Bruce I Turetsky; Ruben C Gur; Daniel D Langleben
Journal:  Addict Biol       Date:  2013-12-15       Impact factor: 4.280

10.  Emotional salience of the image component facilitates recall of the text of cigarette warning labels.

Authors:  An-Li Wang; Zhenhao Shi; Victoria P Fairchild; Catherine A Aronowitz; Daniel D Langleben
Journal:  Eur J Public Health       Date:  2019-02-01       Impact factor: 3.367

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