Neural Predictors of Message Effectiveness during Counterarguing in Antidrug Campaigns

References

• Adolphs, R. (2006). Cognitive neuroscience of human social behavior. Nature Neuroscience, 4, 165–178. doi:10.1038/nrn1056
   Web of Science ®Google Scholar
• Ahluwalia, R., Burnkrant, R., & Unnava, R. (2000). Consumer response to negative publicity: The moderating role of commitment. Journal of Marketing Research, 37, 203–214. doi:10.1509/jmkr.37.2.203.18734
   Web of Science ®Google Scholar
• Andersson, J. L. R., Jenkinson, M., & Smith, S. M. (2007a). Non-linear optimisation FMRIB technical report TR07JA1 (pp. 1–17). Oxford: Oxford Centre for Functional Magnetic Resonance Imaging of the Brain. Retrieved from http://www.fmrib.ox.ac.uk/analysis/techrep/tr07ja1/tr07ja1.pdf
   Google Scholar
• Andersson, J. L. R., Jenkinson, M., & Smith, S. M. (2007b). Non-linear registration aka spatial normalisation FMRIB technical report TR07JA2 (pp. 1–22). Oxford: Oxford Centre for Functional Magnetic Resonance Imaging of the Brain. Retrieved from http://www.fmrib.ox.ac.uk/analysis/techrep/tr07ja2/tr07ja2.pdf
   Google Scholar
• Beckmann, C. F., & Smith, S. M. (2004). Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Transactions on Medical Imaging, 23(2), 137–152. doi:10.1109/TMI.2003.822821
   PubMed Web of Science ®Google Scholar
• Berkman, E. T., & Falk, E. B. (2013). Beyond brain mapping: Using neural measures to predict real-world outcomes. Current Directions in Psychological Science, 22(1), 45–50. doi:10.1177/0963721412469394
   PubMed Web of Science ®Google Scholar
• Berns, G. S., & Moore, S. E. (2012). A neural predictor of cultural popularity. Journal of Consumer Psychology, 22, 154–160. doi:10.1016/j.jcps.2011.05.001
   Web of Science ®Google Scholar
• Bigsby, E., Cappella, J. N., & Seitz, H. H. (2013). Efficiently and effectively evaluating public service announcements: Additional evidence for the utility of perceived effectiveness. Communication Monographs, 80(1), 1–23. doi:10.1080/03637751.2012.739706
   PubMed Web of Science ®Google Scholar
• Brehm, J. W. (1966). A theory of psychological reactance. New York, NY: Academic Press.
   Google Scholar
• Buller, D. B. (1986). Distraction during persuasive communication: A meta-analytic review. Communication Monographs, 53(2), 91–114. doi:10.1080/03637758609376130
   Web of Science ®Google Scholar
• Cappella, J. N., Yzer, M. C., & Fishbein, M. (2003). Using beliefs about positive and negative consequences as the basis for designing message interventions for lowering risky behavior. In D. Romer (Ed.), Reducing adolescent risk: Toward an integrated approach (pp. 210–220). Thousand Oaks, CA: Sage.
   Google Scholar
• Cascio, C. N., Dal Cin, S., & Falk, E. B. (2013). Health communications: Predicting behavior change from the brain. In P. Hall (Ed.), Social neuroscience and public health: Foundations of an emerging discipline (pp. 57–51). New York: Springer.
   Google Scholar
• Cascio, C. N., Shumaker, K., Beard, E. C., Albarracin, D., & Falk, E. B. (2014, May). Neural mechanisms associated with persuasion and social influence: A meta-analysis. Paper presented at the ICA 64th Annual Convention, Seattle, WA.
   Google Scholar
• Cavanna, A. E., & Trimble, M. R. (2006). The precuneus: A review of its functional anatomy and behavioural correlates. Brain, 129, 564–583. doi:10.1093/brain/awl004
   PubMed Web of Science ®Google Scholar
• Choi, Y. Y., Shamosh, N. A., Cho, S. H., DeYoung, C. G., Lee, M. J., Lee, J., … Lee, K. H. (2008). Multiple bases of human intelligence revealed by cortical thickness and neural activation. Journal of Neuroscience, 28, 10323–10329. doi:10.1523/JNEUROSCI.3259-08.2008
   PubMed Web of Science ®Google Scholar
• Chua, H. F., Ho, S. S., Jasinska, A. J., Polk, T. A., Welsh, R. C., Liberzon, I., & Strecher, V. J. (2011). Self-related neural response to tailored smoking-cessation messages predicts quitting. Nature Neuroscience, 14, 426–427. doi:10.1038/nn.2761
   PubMed Web of Science ®Google Scholar
• Chua, H. F., Liberzon, I., Welsh, R. C., & Strecher, V. J. (2009). Neural correlates of message tailoring and self-relatedness in smoking cessation programming. Biological Psychiatry, 65, 165–168. doi:10.1016/j.biopsych.2008.08.030
   PubMed Web of Science ®Google Scholar
• Cuzick, J. (2005). Rank regression. In P. Armitage & T. Colton (Eds.), Encyclopedia of biostatistics. Hoboken, NJ: Wiley. doi:10.1002/0470011815.b2a11063
   Google Scholar
• Dillard, J. P., Shen, L., & Vail, R. G. (2007). Does perceived message effectiveness cause persuasion or vice versa? 17 consistent answers. Human Communication Research, 33, 467–488. doi:10.1111/j.1468-2958.2007.00308.x
   Web of Science ®Google Scholar
• Dillard, J. P., Weber, K. M., & Vail, R. G. (2007). The relationship between the perceived and actual effectiveness of persuasive messages: A meta-analysis with implications for formative campaign research. Journal of Communication, 57, 613–631. doi:10.1111/j.1460-2466.2007.00360.x
   Web of Science ®Google Scholar
• Donohew, L., Palmgreen, P., & Duncan, J. (1980). An activation model of information exposure. Communication Monographs, 47, 295–303. doi:10.1080/03637758009376038
   Web of Science ®Google Scholar
• Falk, E. B., Berkman, E., & Lieberman, M. D. (2012). From neural responses to population behavior: Neural focus groups predicts population-level media effects. Psychological Science, 23, 439–445. doi:10.1177/0956797611434964
   PubMed Web of Science ®Google Scholar
• 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, 8421–8424. doi:10.1523/JNEUROSCI.0063-10.2010
   PubMed Web of Science ®Google Scholar
• Falk, E.B., Berkman, E., Whalen, D., & Lieberman, M. D. (2011). Neural activity during health messaging predicts reductions in smoking above and beyond self-report. Health Psychology, 30, 177–185. doi:10.1037/a0022259
   PubMed Web of Science ®Google Scholar
• Falk, E. B., O’Donnell, M. B., Tompson, S., Gonzales, R., Chin, S. D., Strecher, V., & An, L. (2014, May). Neural systems associated with self-related processing predict population success of health messages. Paper presented at the ICA 64th Annual Convention, Seattle, WA.
   Google Scholar
• Falk, E. B., Rameson, L., Kang, Y., Inagaki, T., & Lieberman, M. D. (2009). The neural correlates of persuasion: A common network across cultures and media. Journal of Cognitive Neuroscience, 22, 2447–2459. doi:10.1162/jocn.2009.21363
   Web of Science ®Google Scholar
• Hasson, U., Furman, O., Clark, D., Dudai, Y., & Davachi, L. (2008). Enhanced intersubject correlations during movie viewing correlate with successful episodic encoding. Neuron, 57, 452–462. doi:10.1016/j.neuron.2007.12.009
   PubMed Web of Science ®Google Scholar
• Hopfinger, J. B., Buonocore, M. H., & Mangun, G. R. (2000). The neural mechanisms of top-down attentional control. Nature Neuroscience, 3, 284–291. doi:10.1038/72999
   PubMed Web of Science ®Google Scholar
• Iacoboni, M., Freedman, J., Kaplan, J., Jamieson, K. H., Freedman, T., Knapp, B., & Fitzgerald, K. (2007, November 11). This is your brain on politics. New York Times. Retrieved from http://www.nytimes.com/2007/11/11/opinion/11freedman.html
   Google Scholar
• Jenkinson, M., Bannister, P., Brady, M., & Smith, S. M. (2002). Improved optimization for the robust and accurate linear registration and motion correction of brain images. NeuroImage, 17, 825–841. doi:10.1006/nimg.2002.1132
   PubMed Web of Science ®Google Scholar
• Jenkinson, M., & Smith, S. M. (2001). A global optimisation method for robust affine registration of brain images. Medical Image Analysis, 5(2), 143–156. doi:10.1016/S1361-8415(01)00036-6
   PubMed Web of Science ®Google Scholar
• Kang, Y., Cappella, J., & Fishbein, M. (2006). The attentional mechanism of message sensation value: Interaction between message sensation value and argument quality on message effectiveness. Communication Monographs, 73, 351–378. doi:10.1080/03637750601024164
   Web of Science ®Google Scholar
• Koechlin, E., & Hyafil, A. (2007). Anterior prefrontal function and the limits of human decision-making. Science, 318, 594–598. doi:10.1126/science.1142995
   PubMed Web of Science ®Google Scholar
• Lang, A. (2009). The limited capacity model of motivated mediated message processing. In R. Nabi & M. Oliver (Eds.), The sage handbook of media effects and processes (pp. 193–204). Thousand Oaks, CA: Sage.
   Google Scholar
• Lang, A., & Yegiyan, N. (2008). Understanding the interactive effects of emotional appeal and claim strength in health messages. Journal of Broadcasting & Electronic Media, 52, 432–447. doi:10.1080/08838150802205629
   Web of Science ®Google Scholar
• Langleben, D., Loughead, J., Ruparel, K., Hakun, J., Busch-Winokur, S., Holloway, M., … Lerman, C. (2009). Reduced prefrontal and temporal processing and recall of high “sensation value” ads. NeuroImage, 46, 219–225. doi:10.1016/j.neuroimage.2008.12.062
   PubMed Web of Science ®Google Scholar
• Leigh, J. H., & Kinnear, T. C. (1980). On interaction classification. Educational and Psychological Measurement, 40, 841–843. doi:10.1177/001316448004000405
   Web of Science ®Google Scholar
• Levy, I., Lazzaro, S. C., Rutledge, R. B., & Glimcher, P. W. (2011). Choice from non-choice: Predicting consumer preferences from blood oxygenation level-dependent signals obtained during passive viewing. Journal of Neuroscience, 31(1), 118–125. doi:10.1523/JNEUROSCI.3214-10.2011
   PubMed Web of Science ®Google Scholar
• McCullagh, P. (1980). Regression models for ordinal data. Journal of the Royal Statistical Society, 42(2), 109–142.
   Google Scholar
• Morgan, S., Palmgreen, P., Stephenson, M., Hoyle, R., & Lorch, E. (2003). Associations between message features and subjective evaluations of the sensation value of antidrug public service announcements. Journal of Communication, 53, 512–526. doi:10.1111/j.1460-2466.2003.tb02605.x
   Web of Science ®Google Scholar
• Muraven, M., Tice, D. M., & Baumeister, R. F. (1998). Self-control as a limited resource: Regulatory depletion patterns. Journal of Personality and Social Psychology, 74, 774–789. doi:10.1037/0022-3514.74.3.774
   PubMed Web of Science ®Google Scholar
• Nishimoto, S., Vu, A. T., Naselaris, T., Benjamini, Y., Yu, B., & Gallant, J. L. (2011). Reconstructing visual experiences from brain activity evoked by natural movies. Current Biology, 21, 1641–1646. doi:10.1016/j.cub.2011.08.031.
   PubMed Web of Science ®Google Scholar
• O’Keefe, D. (2006). Message properties, mediating states, and manipulation checks: Claims, evidence, and data analysis in experimental persuasive message effects research. Communication Theory, 13, 251–274. doi:10.1111/j.1468-2885.2003.tb00292.x
   Web of Science ®Google Scholar
• Palmgreen, P., Donohew, L., Lorch, E. P., Rogus, M., Helm, D., & Grant, N. (1991). Sensation seeking, message sensation value, and drug use as mediators of PSA effectiveness. Health Communication, 3, 217–227. doi:10.1207/s15327027hc0304_4
   Google Scholar
• Palmgreen, P., Stephenson, M. T., Everett, M. W., Baseheart, J. R., & Francies, R. (2002). Perceived message sensation value (PMSV) and the dimensions and validation of a PMSV scale. Health Communication, 14, 403–428. doi:10.1207/S15327027HC1404_1
   PubMed Web of Science ®Google Scholar
• Petty, R. E., & Cacioppo, J. T. (1979). Issue involvement can increase or decrease persuasion by enhancing message-relevant cognitive responses. Journal of Personality and Social Psychology, 37, 1915–1926. doi:10.1037/0022-3514.37.10.1915
   Web of Science ®Google Scholar
• Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In L. Berkowitz (Ed.), Advances in experimental psychology (Vol. 19, pp. 123–205). New York, NY: Academic Press.
   Google Scholar
• Petty, R. E., Tormala, Z. L., & Rucker, D. D. (2004). Resisting persuasion by counterarguing: An attitude strength perspective. In J. T. Jost, M. R. Banaji, & D. A. Prentice (Eds.), Perspectivism in social psychology: The yin and yang of scientific progress (pp. 37–51). Washington, DC: American Psychological Association.
   Google Scholar
• Poldrack, R. A. (2006). Can cognitive processes be inferred from neuroimaging data? Trends in Cognitive Science, 10(2), 59–63. doi:10.1016/j.tics.2005.12.004
   PubMed Web of Science ®Google Scholar
• Poldrack, R. A. (2011). Inferring mental states from neuroimaging data: From reverse inference to large-scale decoding. Neuron, 72, 692–697. doi:10.1016/j.neuron.2011.11.001
   PubMed Web of Science ®Google Scholar
• Raju, S., & Unnava, H. R. (2006). The role of arousal in commitment: An explanation for the number of counterarguments. Journal of Consumer Research, 33, 173–178. doi:10.1086/506298
   Web of Science ®Google Scholar
• Ramsay, I. S., Yzer, M. C., Luciana, M., Vohs, K. D., & MacDonald, A. W. (2013). Affective and executive network processing associated with persuasive antidrug messages. Journal of Cognitive Neuroscience, 25, 1136–1147. doi:10.1162/jocn_a_00391
   PubMed Web of Science ®Google Scholar
• Smith, S. M. (2002). Fast robust automated brain extraction. Human Brain Mapping, 17(3), 143–155. doi:10.1002/hbm.10062
   PubMed Web of Science ®Google Scholar
• Spiers, H. J., & Maguire, E. A. (2007). Decoding human brain activity during real-world experiences. Trends in Cognitive Sciences, 11, 356–365. doi:10.1016/j.tics.2007.06.002
   PubMed Web of Science ®Google Scholar
• Stephenson, M., & Palmgreen, P. (2001). Sensation seeking, perceived message sensation value, personal involvement, and processing of anti-marijuana PSAs. Communication Monographs, 68(1), 49–71. doi:10.1080/03637750128051
   Web of Science ®Google Scholar
• Stephenson, M. T., & Southwell, B. G. (2006). Sensation seeking, the activation model, and mass media health campaigns: Current findings and future directions for cancer communication. Journal of Communication, 56(1), S38–S56. doi:10.1111/j.1460-2466.2006.00282.x
   Google Scholar
• Tan, L. H., Chen, L., Yip, V., Chan, A. H., Yang, J., Gao, J. H., & Siok, W. T. (2011). Activity levels in the left hemisphere caudate-fusiform circuit predict how well a second language will be learned. Proceedings of the National Academy of Sciences of the USA, 108, 2540–2544. doi:10.1073/pnas.0909623108
   PubMed Web of Science ®Google Scholar
• Tormala, Z. L., & Petty, R. E. (2002). What doesn't kill me makes me stronger: The effects of resisting persuasion on attitude certainty. Journal of Personality & Social Psychology, 83, 1298–1313.
   PubMed Web of Science ®Google Scholar
• Tormala, Z. L., & Petty, R. E. (2004). Resistance to persuasion and attitude certainty: The moderating role of elaboration. Personality and Social Psychology Bulletin, 30, 1446–1457. doi:10.1177/0146167204264251
   PubMed Web of Science ®Google Scholar
• Tusche, A., Bode, S., & Haynes, J. D. (2010). Neural responses to unattended products predict later consumer choices. Journal of Neuroscience, 30, 8024–8031. doi:10.1523/JNEUROSCI.0064-10.2010
   PubMed Web of Science ®Google Scholar
• Weber, R., Westcott-Baker, A., & Anderson, G. L. (2013). A multilevel analysis of antimarijuana public service announcement effectiveness. Communication Monographs, 80, 302–330. doi:10.1080/03637751.2013.788254
   Web of Science ®Google Scholar
• Wegener, D. T., Petty, R. E., Smoak, N. D., & Fabrigar, L. R. (2004). Multiple routes to resisting attitude change. In E. S. Knowles & J. A. Linn (Eds.), Resistance and persuasion (pp. 13–38). Mahwah, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Wheeler, S. C., Briñol, P., & Hermann, A. D. (2007). Resistance to persuasion as self-regulation: Ego-depletion and its effects on attitude change processes. Journal of Experimental Social Psychology, 43, 150–156. doi:10.1016/j.jesp.2006.01.001
   Web of Science ®Google Scholar
• Wilson, S. M., Molnar-Szakacs, I., & Iacoboni, M. (2008). Beyond superior temporal cortex: Intersubject correlations in narrative speech comprehension. Cerebral Cortex, 18, 230–242. doi:10.1093/cercor/bhm049
   PubMed Web of Science ®Google Scholar
• Woolrich, M. W., Behrens, T. E. J., Beckmann, C. F., Jenkinson, M., & Smith, S. M. (2004). Multilevel linear modelling for FMRI group analysis using Bayesian inference. NeuroImage, 21, 1732–1747. doi:10.1016/j.neuroimage.2003.12.023
   PubMed Web of Science ®Google Scholar
• Worsley, K. J. (2001). Statistical analysis of activation images. In P. Jezzard, P. M. Matthews, & S. M. Smith (Eds.), Functional MRI: An introduction to methods (pp. 251–270). Oxford: Oxford University Press.
   Google Scholar
• Xia, M., Wang, J., & He, Y. (2013). BrainNet viewer: A network visualization tool for human brain connectomics. PLoS One, 8, e68910. doi:10.1371/journal.pone.0068910
   PubMed Web of Science ®Google Scholar
• Yzer, M. C., Vohs, K. D., Luciana, M., Cuthbert, B. N., & MacDonald, A. W. III (2011). Affective antecedents of the perceived effectiveness of antidrug advertisements: An analysis of adolescents' momentary and retrospective evaluations. Prevention Science, 12, 278–288. doi:10.1007/s11121-011-0212-y
   PubMed Web of Science ®Google Scholar
• 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. doi:10.1080/19312458.2010.547822
   PubMedGoogle Scholar
• Zuwerink, J. R., & Devine, P. G. (1996). Attitude importance and resistance to persuasion: It's not just the thought that counts. Journal of Personality and Social Psychology, 70, 931–944. doi:10.1037/0022-3514.70.5.931
   Web of Science ®Google Scholar