The Craving Stops Before You Feel It: Neural Correlates of Chocolate Craving During Cue Exposure with Response Prevention

Frankort, Astrid; Roefs, Anne; Siep, Nicolette; Roebroeck, Alard; Havermans, Remco C.; Jansen, Anita

doi:10.1093/cercor/bht016

Cited by 32 publications

(48 citation statements)

References 95 publications

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“…Of the controlled studies, six ESs were categorized to vivo cue exposure, 39 studies to cognitive regulation strategies (n = 6 acceptance, n = 13 reappraisal, n = 7 suppression, and n = 13 distraction), 13 studies to cognitive control training (n = 3 ICT, n = 4 AAT, and n = 6 ABM), and six to neurofeedback or biofeedback interventions …”

Section: Resultsmentioning

confidence: 99%

Laboratory‐based interventions targeting food craving: A systematic review and meta‐analysis

2020

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Summary This systematic review and meta‐analysis aimed to quantify the effects of laboratory‐based interventions targeting specific mechanisms of food craving, to identify moderators of effects, and to qualitatively summarize findings. The study was conducted and reported according to the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) guidelines. Sixty‐nine studies were included in the quantitative synthesis, and separate meta‐analyses were conducted for the outcomes self‐reported craving and objective food intake. Results show small to medium positive effects across specific craving interventions on both outcomes. Effect sizes were partly moderated by intervention type. The most effective intervention regarding food intake was in sensu cue exposure. For subjective craving, the most robust evidence was found for beneficial effects of cognitive regulation strategies (ie, reappraisal, suppression, and distraction). Results further indicate that training inhibitory control through behavioral inhibition might be more effective than approach‐avoidance training when considering its effect on subjective craving and food intake. People with external eating habits, overeating, or loss‐of‐control eating might benefit from these types of specific craving interventions. Future research should focus on long‐term effects, transferability, and effectiveness in clinical samples.

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Section: Resultsmentioning

confidence: 99%

Laboratory‐based interventions targeting food craving: A systematic review and meta‐analysis

2020

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“…~10 min) . Accordingly, prolonged exposure to chocolate cues , as well as smoking and alcohol cues , reduces physiological reactivity in response to these cues. As a treatment, CERP also reduces self‐reported craving and binge eating in individuals with bulimia nervosa .…”

Section: Discussionmentioning

confidence: 99%

Food cue reactivity and craving predict eating and weight gain: a meta‐analytic review

2015

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Summary According to learning-based models of behavior, food cue reactivity and craving are conditioned responses that lead to increased eating and subsequent weight gain. However, evidence supporting this relationship has been mixed. We conducted a quantitative meta-analysis to assess the predictive effects of food cue reactivity and craving on eating and weight-related outcomes. Across 69 reported statistics from 45 published reports representing 3,292 participants, we found an overall medium effect of food cue reactivity and craving on outcomes (r = 0.33, p <0.001; approximately 11% of variance), suggesting that cue exposure and the experience of craving significantly influence and contribute to eating behavior and weight gain. Follow-up tests revealed a medium effect size for the effect of both tonic and cue-induced craving on eating behavior (r = 0.33). We did not find significant differences in effect sizes based on body mass index, age, or dietary restraint. However, we did find that visual food cues (e.g. pictures and videos) were associated with a similar effect size to real food exposure and a stronger effect size than olfactory cues. Overall, the present findings suggest that food cue reactivity, cue-induced craving and tonic craving systematically and prospectively predict food-related outcomes. These results have theoretical, methodological, public health and clinical implications.

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“…As suggested by the authors, the presence of increased connectivity in the dorsal striatal network observed in obese, but not normal weight subjects, provide evidence for neural adaptations in brain reward circuitry that may contribute to addictive eating. In addition to the striatum, brain reward regions usually associated with food cravings include the ventral tegmental area, nucleus accumbens, amygdala, and hippocampus (Frankort et al, 2014). Subjects given a monotonous diet for 1.5 days, consisting only of the complete nutrition drink “Boost,” had greater brain activation in the insula, caudate, and hippocampus in response to cues of their favorite foods vs the monotonous food, ie, “Boost” (Pelchat, Johnson, Chan, Valdez, and Ragland (2004).…”

Section: Factors That Lead To the Formation Of Famentioning

confidence: 99%

Psychological and Neurobiological Correlates of Food Addiction

Kalon

Hong

Tobin

et al. 2016

International Review of Neurobiology

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Food addiction (FA) is loosely defined as hedonic eating behavior involving the consumption of highly palatable foods (ie, foods high in salt, fat, and sugar) in quantities beyond homeostatic energy requirements. FA shares some common symptomology with other pathological eating disorders, such as binge eating. Current theories suggest that FA shares both behavioral similarities and overlapping neural correlates to other substance addictions. Although preliminary, neuroimaging studies in response to food cues and the consumption of highly palatable food in individuals with FA compared to healthy controls have shown differing activation patterns and connectivity in brain reward circuits including regions such as the striatum, amygdala, orbitofrontal cortex, insula, and nucleus accumbens. Additional effects have been noted in the hypothalamus, a brain area responsible for regulating eating behaviors and peripheral satiety networks. FA is highly impacted by impulsivity and mood. Chronic stress can negatively affect hypothalamic–pituitary–adrenal axis functioning, thus influencing eating behavior and increasing desirability of highly palatable foods. Future work will require clearly defining FA as a distinct diagnosis from other eating disorders.

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The Craving Stops Before You Feel It: Neural Correlates of Chocolate Craving During Cue Exposure with Response Prevention

Cited by 32 publications

References 95 publications

Laboratory‐based interventions targeting food craving: A systematic review and meta‐analysis

Laboratory‐based interventions targeting food craving: A systematic review and meta‐analysis

Food cue reactivity and craving predict eating and weight gain: a meta‐analytic review

Psychological and Neurobiological Correlates of Food Addiction

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