Neural signature of the Food Craving Questionnaire (FCQ)-Trait

Steigleder, Leon; Grön, Georg

doi:10.1016/j.appet.2016.08.012

Cited by 24 publications

(25 citation statements)

References 71 publications

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“…Higher activation was associated with lower BMI increase, although the monetary task did not reveal group differences in orbitofrontal cortex activation. Activation in this brain region during a food cue task has been associated with a personal sense of lack of control and thoughts of guilt, as well as control over salient stimuli (34, 35). It is possible that high response during reward stimulus expectation triggers thoughts of guilt and strengthens control over or resistance to approach of salient stimuli.…”

Section: Discussionmentioning

confidence: 99%

Association of Elevated Reward Prediction Error Response With Weight Gain in Adolescent Anorexia Nervosa

DeGuzman

Shott

Yang³

et al. 2017

AJP

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Objective Anorexia nervosa is a psychiatric disorder of unknown etiology. Understanding associations between behavior and neurobiology is important in treatment development. Using a novel monetary reward task during functional magnetic resonance brain imaging, the authors tested how brain reward learning in adolescent anorexia nervosa changes with weight restoration. Method Female adolescents with anorexia nervosa (N=21; mean age, 15.2 years [SD=2.4]) underwent functional MRI (fMRI) before and after treatment; similarly, healthy female control adolescents (N=21; mean age, 16.4 years [SD=1.9]) underwent fMRI on two occasions. Brain function was tested using the reward prediction error construct, a computational model for reward receipt and omission related to motivation and neural dopamine responsiveness. Results Compared with the control group, the anorexia nervosa group exhibited greater brain response 1) for prediction error regression within the caudate, ventral caudate/nucleus accumbens, and anterior and posterior insula, 2) to unexpected reward receipt in the anterior and posterior insula, and 3) to unexpected reward omission in the caudate body. Prediction error and unexpected reward omission response tended to normalize with treatment, while unexpected reward receipt response remained significantly elevated. Greater caudate prediction error response when underweight was associated with lower weight gain during treatment. Punishment sensitivity correlated positively with ventral caudate prediction error response. Conclusions Reward system responsiveness is elevated in adolescent anorexia nervosa when underweight and after weight restoration. Heightened prediction error activity in brain reward regions may represent a phenotype of adolescent anorexia nervosa that does not respond well to treatment. Prediction error response could be a neurobiological marker of illness severity that can indicate individual treatment needs.

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Section: Discussionmentioning

confidence: 99%

Association of Elevated Reward Prediction Error Response With Weight Gain in Adolescent Anorexia Nervosa

DeGuzman

Shott

Yang³

et al. 2017

AJP

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“…Scores on the FCQ-T were also weakly correlated with higher craving intensity when participants had to imagine eating their favorite food [46]. Higher FCQ-T scores related to stronger reward-related brain activations [47] and behavioral disinhibition [48] in response to high-calorie versus low-calorie food stimuli. They also weakly correlated with a composite genetic index reflecting the influence of multiple functional polymorphic dopamine markers, which have been associated with striatal dopamine signaling [49].…”

Section: Validitymentioning

confidence: 96%

Twenty Years of the Food Cravings Questionnaires: a Comprehensive Review

Meule

2020

Curr Addict Rep

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Purpose of Review The Food Cravings Questionnaires (FCQs; Cepeda-Benito, Gleaves, Williams, & Erath, 2000) are among the most widely used instruments for measuring food cravings. In addition to the Food Cravings Questionnaire-Trait (FCQ-T) and the Food Cravings Questionnaire-State (FCQ-S), several modified versions have been developed as well. For their 20th anniversary, this article provides a comprehensive description of the FCQs and reviews studies on their psychometric properties and correlates. Recent Findings The FCQs and their modified versions have excellent internal reliability. Expectedly, the FCQ-T (and its derivatives) has higher retest-reliability than the FCQ-S as the FCQ-S is sensitive to situational changes such as food deprivation and food intake. However, while the FCQ-T is largely unaffected by such momentary states, it is also sensitive to change during weight-loss treatments and other interventions. Factor structure of the FCQ-T and FCQ-S has only partially been replicated. Construct validity of the FCQs is supported by experimental and longitudinal studies that measured food craving and food consumption in the laboratory and with ecological momentary assessment. Summary Numerous studies support reliability and validity of the FCQs and their modified versions, yet findings about their factor structures are inconsistent. Thus, using total scores or the short versions of the FCQs may be preferable.

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“…Food Cravings in Everyday Life approach avoidance task (Brockmeyer et al, 2015), implicit measures (Richard et al, in revision), and greater reward-related brain activitation (Miedl et al, submitted;Ulrich et al, 2016).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…Laboratory and questionnaire-based studies revealed that individuals with elevated levels of trait food craving (i.e., high trait food cravers) seem to have a preference for highcalorie foods and are more susceptible to experience food cravings spontaneously or when confronted with external food cues. For instance, relative to low trait food cravers, high trait food cravers displayed an implicit approach tendency towards high-calorie foods (Brockmeyer, Hahn, Reetz, Schmidt, & Friederich, 2015) and showed more reward-related brain activity during food picture viewing (Ulrich, Steigleder, & Grön, 2016) and chocolaterelated thought suppression (Miedl, Blechert, Meule, Richard, & Wilhelm, submitted). High trait food cravers also reported higher craving intensity when they were asked to imagine their favorite food (Tiggemann & Kemps, 2005) or were exposed to pictures of palatable foods (Meule, Hermann, & Kübler, 2014;Meule, Skirde, Freund, Vögele, & Kübler, 2012).…”

Section: Introductionmentioning

confidence: 99%

Food cravings in everyday life: An EMA study on snack-related thoughts, cravings, and consumption

Richard¹,

Meule²,

et al. 2017

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Food craving refers to an intense desire to consume a specific food and is regularly experienced by the majority of individuals. Yet, there are interindividual differences in the frequency and intensity of food craving experiences, which is often referred to as trait food craving. The characteristics and consequences of trait and state food craving have mainly been investigated in questionnaire-based and laboratory studies, which may not reflect individuals' behavior in daily life. In the present study, sixty-one participants completed the Food Cravings Questionnaire-Trait-reduced (FCQ-T-r) as measure of trait food craving, followed by seven days of Ecological Momentary Assessment (EMA), during which they reported snack-related thoughts, craving intensity, and snack consumption at five times per day. Results showed that 86 percent of reported snacks were high-caloric, with chocolate-containing foods being the most often reported snacks. Individuals with high FCQ-T-r scores (high trait food cravers, HCs) thought more often about high-calorie than low-calorie snacks whereas no differences were found in individuals with low FCQ-T-r scores (low trait food cravers, LCs). Further, the relationship between craving intensity and snack-related thoughts was stronger in HCs than in LCs. Higher craving intensity was associated with more consumption of snacks and again this relationship was stronger in HCs than in LCs. Finally, more snack-related thoughts were related to more frequent consumption of snacks, independent of trait food craving. Thus, HCs are more prone to think about high-calorie snacks in their daily lives and to consume more snack foods when they experience intense cravings, which might be indicative of a heightened responding towards high-calorie foods. Thus, trait-level differences as well as snack-related thoughts should be targeted in dietary interventions.

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Neural signature of the Food Craving Questionnaire (FCQ)-Trait

Cited by 24 publications

References 71 publications

Association of Elevated Reward Prediction Error Response With Weight Gain in Adolescent Anorexia Nervosa

Association of Elevated Reward Prediction Error Response With Weight Gain in Adolescent Anorexia Nervosa

Twenty Years of the Food Cravings Questionnaires: a Comprehensive Review

Food cravings in everyday life: An EMA study on snack-related thoughts, cravings, and consumption

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