Adolescents' behavioral and neural responses to e‐cigarette advertising

Chen, Yvonnes; Fowler, Carina H.; Papa, Vlad B.; Lepping, Rebecca J.; Brucks, Morgan G.; Fox, Andrew T.; Martin, Laura E.

doi:10.1111/adb.12510

Cited by 27 publications

(34 citation statements)

References 39 publications

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“…Whole-brain analyses revealed the activations induced by cue (smoking pictures vs. neutral picture) identified in previous nicotine addiction studies (Chen et al, 2018;Courtney, Ghahremani, London, & Ray, 2014;Yalachkov & Naumer, 2011), including left precuneus, rMFG and right inferior parietal lobule (Table 3) in the control state (see Supporting Information). Whole-brain analyses indicated the brain activation by cue (smoking pictures vs. neutral picture) was comprehensive during hypnotic state (Table 3).…”

Section: Effects Of Hypnotic Smoking Aversion Suggestion-fmri Datamentioning

confidence: 77%

The top‐down regulation from the prefrontal cortex to insula via hypnotic aversion suggestions reduces smoking craving

Chen

et al. 2018

Human Brain Mapping

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Hypnosis has been shown to have treatment effects on nicotine addiction. However, the neural basis of these effects is poorly understood. This preliminary study investigated the neural mechanisms of hypnosis‐based treatment on cigarette smoking, specifically, whether the hypnosis involves a top‐down or bottom‐up mechanism. Two groups of 45 smokers underwent a smoking aversion suggestion and viewed smoking‐related pictures and neutral pictures. One group underwent functional magnetic resonance imaging scanning twice (control and hypnotic states), whereas the other group underwent two electroencephalograph sessions. Our study found that self‐reported smoking craving decreased in both groups following hypnosis. Smoking cue‐elicited activations in the right dorsal lateral prefrontal cortex (rDLPFC) and left insula (lI) and the functional connectivity between the rDLPFC and lI were increased in the hypnotic state compared with the control state. The delta band source waveforms indicated the activation from 390 to 862 ms at the rDLPFC and from 490 to 900 ms at the lI was significantly different between the smoking and neutral conditions in the hypnotic state, suggesting the activation in the rDLPFC preceded that in the lI. These results suggest that the decreased smoking craving via hypnotic aversion suggestions may arise from the top‐down regulation of the rDLPFC to the lI. Our findings provide novel neurobiological evidence for understanding the therapeutic effects of hypnosis on nicotine addiction, and the prefrontal–insula circuit may serve as an imaging biomarker to monitor the treatment efficacy noninvasively.

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Section: Effects Of Hypnotic Smoking Aversion Suggestion-fmri Datamentioning

confidence: 77%

The top‐down regulation from the prefrontal cortex to insula via hypnotic aversion suggestions reduces smoking craving

Chen

et al. 2018

Human Brain Mapping

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“…Nichols (2016) recently developed videos of e-cigarette use for cue-reactivity studies and pilot tested these in e-cigarette users (Nichols et al, 2016). In another fMRI study (Chen et al, 2017), adolescents with a range of regular cigarette use (never to daily) showed increased neural cue-reactivity as they viewed print e-cigarette advertisements, and reported increased craving to smoke regular cigarettes. For that study, e-cigarette advertisements were included if they had increased young adult smokers' desire to smoke regular cigarettes in an earlier behavioral study.…”

Section: Discussionmentioning

confidence: 99%

A fMRI study on the impact of advertising for flavored e-cigarettes on susceptible young adults

Garrison

O’Malley

Gueorguieva³

et al. 2018

Drug and Alcohol Dependence

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Background E-cigarettes are sold in flavors such as “Skittles,” “strawberrylicious,” and “juicy fruit,” and no restrictions are in place on marketing e-cigarettes to youth. Sweets/fruits depicted in e-cigarette advertisements may increase their appeal to youth and interfere with health warnings. This study tested a brain biomarker of product preference for sweet/fruit versus tobacco flavor e-cigarettes, and whether advertising for flavors interfered with warning labels. Methods Participants (N=26) were college-age youth who had tried an e-cigarette and were susceptible to future e-cigarette use. They viewed advertisements in fMRI for sweet/fruit and tobacco flavor e-cigarettes, menthol and regular cigarettes, and control images of fruits/sweets/mints with no tobacco product. Cue-reactivity was measured in the nucleus accumbens, a brain biomarker of product preference. Advertisements randomly contained warning labels, and recognition of health warnings was tested post-scan. Visual attention was measured using eye-tracking. Results There was a significant effect of e-cigarette condition (sweet/tobacco/control) on nucleus accumbens activity, that was not found for cigarette condition (menthol/regular/control). Nucleus accumbens activity was greater for sweet/fruit versus tobacco flavor e-cigarette advertisements and did not differ compared with control images of sweets and fruits. Greater nucleus accumbens activity was correlated with poorer memory for health warnings. Conclusions These and exploratory eye-tracking findings suggest that advertising for sweet/fruit flavors may increase positive associations with e-cigarettes and/or override negative associations with tobacco, and interfere with health warnings, suggesting that one way to reduce the appeal of e-cigarettes to youth and educate youth about e-cigarette health risks is to regulate advertising for flavors.

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“…Soria Morillo et al [40], Yang et al [41], Cherubino et al [42], Soria Morillo et al [43], Vasiljević et al [44], Yang et al [45], Pilelienė and Grigaliūnaitė [36], Daugherty et al [46], Royo et al [47], Etzold et al [48], Chen et al [49], Casado-Aranda et al [50], Randolph and Pierquet [51], Nomura and Mitsukura [52], Ungureanu et al [53], Goyal and Singh [54], Oon et al [55], Singh et al [56].…”

Section: Promotionmentioning

confidence: 99%

“…[35], Gordon et al [59], Krampe et al [60], Hubert et al [25], Çakir et al [24], Holst and Henseler [61], Hsu and Cheng [62], Hoefer et al [27], Chen et al [49], Casado-Aranda et al [50], Wang et al [30], Jain et al [63], Wolfe et al [31], Bosshard et al [32], Fehse et al [33].…”

Section: Promotionmentioning

confidence: 99%

Technological advancements and opportunities in Neuromarketing: a systematic review

et al. 2020

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Neuromarketing has become an academic and commercial area of interest, as the advancements in neural recording techniques and interpreting algorithms have made it an effective tool for recognizing the unspoken response of consumers to the marketing stimuli. This article presents the very first systematic review of the technological advancements in Neuromarketing field over the last 5 years. For this purpose, authors have selected and reviewed a total of 57 relevant literatures from valid databases which directly contribute to the Neuromarketing field with basic or empirical research findings. This review finds consumer goods as the prevalent marketing stimuli used in both product and promotion forms in these selected literatures. A trend of analyzing frontal and prefrontal alpha band signals is observed among the consumer emotion recognition-based experiments, which corresponds to frontal alpha asymmetry theory. The use of electroencephalogram (EEG) is found favorable by many researchers over functional magnetic resonance imaging (fMRI) in video advertisement-based Neuromarketing experiments, apparently due to its low cost and high time resolution advantages. Physiological response measuring techniques such as eye tracking, skin conductance recording, heart rate monitoring, and facial mapping have also been found in these empirical studies exclusively or in parallel with brain recordings. Alongside traditional filtering methods, independent component analysis (ICA) was found most commonly in artifact removal from neural signal. In consumer response prediction and classification, Artificial Neural Network (ANN), Support Vector Machine (SVM) and Linear Discriminant Analysis (LDA) have performed with the highest average accuracy among other machine learning algorithms used in these literatures. The authors hope, this review will assist the future researchers with vital information in the field of Neuromarketing for making novel contributions.

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Adolescents' behavioral and neural responses to e‐cigarette advertising

Cited by 27 publications

References 39 publications

The top‐down regulation from the prefrontal cortex to insula via hypnotic aversion suggestions reduces smoking craving

The top‐down regulation from the prefrontal cortex to insula via hypnotic aversion suggestions reduces smoking craving

A fMRI study on the impact of advertising for flavored e-cigarettes on susceptible young adults

Technological advancements and opportunities in Neuromarketing: a systematic review

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