Transcranial Direct Current Stimulation for Food Craving in Women Affected by Overweight and Obesity: A Randomized Controlled Trial.

INTRODUCTION: Craving is a multifactorial behavior caused by central circuit imbalance. The proposed treatments involve exercise and reduced food intake. However, the treatments frequently fail. This study aimed to investigate the effect of 10 consecutive sessions of anodal transcranial direct current stimulation over the right dorsolateral prefrontal cortex on food craving and eating consumption of women affected by overweight and obesity. METHODS: A randomized double-blind controlled trial with 50 volunteers was divided into two groups (active-tDCS: n = 25 and sham-tDCS: n = 25). There were a total of 10 consecutive tDCS sessions (2 mA, for 20 min) with an F4 anodal-F3 cathodal montage. We evaluated the effects on eating behavior (food craving, uncontrolled eating, emotional eating, and cognitive restriction), food consumption (calories and macronutrients), and anthropometric and body composition variables (weight, body mass index, waist circumference, and body fat percentage). RESULTS: There were no statistically significant results between groups at the baseline regarding sociodemographic and clinical characteristics. Also, there was no significant interaction between time versus group for any of the variables studied. Treatment with tDCS was well tolerated and there were no serious adverse effects. CONCLUSIONS: In women affected by overweight and obesity with food cravings, 10 sessions of F4 (anodal) and F3 (cathodal) tDCS did not produce changes in eating behavior, food consumption, and anthropometric and body composition.

Trait food craving predicts functional connectivity between dopaminergic midbrain and the fusiform food area during eating imagery.

Neurofunctional coupling between the dopaminergic midbrain (i.e., ventral tegmental area, VTA) and higher-order visual regions may contribute to food craving, leading to the onset or maintenance of obesity. We recently showed that the VTA resting-state functional connectivity with the occipitotemporal cortex, at the level of the fusiform gyrus (FFG), was specifically associated with trait food craving and the implicit bias for food images, suggesting that VTA-FFG connectivity may reflect the association between the visual representations of food and its motivational properties. To further test this hypothesis, this time we studied task-based functional connectivity in twenty-eight healthy-weight participants while imagining eating their most liked high-calorie (HC) or least liked low-calorie food (LC) or drinking water (control condition). Trait food craving scores were used to predict changes in task-based functional connectivity of the VTA during imagery of HC compared to LC foods (relative to the control condition). Trait food craving was positively associated with the functional connectivity of the VTA with the left FFG: people with higher trait food craving scores show stronger VTA-FFG connectivity, specifically for the imagery of the liked HC foods. This association was not linked to the quality of imagery nor to state measures of craving, appetite, or thirst. These findings emphasize the contribution of the functional coupling between dopaminergic midbrain and higher-order visual regions to food craving, suggesting a neurofunctional mechanism by which the mental representations of the HC food we like can become much more salient if not irresistible.

Food approach and avoidance craving: A partial test of the Ambivalence Model of Craving.

Accumulating evidence from both cross-sectional and cue-reactivity studies supports the application of the Ambivalence Model of Craving (AMC) from the substance use literature to food craving. The focus of this extant work has been on the association between the two dimensions of food craving (approach and avoidance) and disordered eating behaviors. The present study extended existing validity data by investigating approach and avoidance food craving profiles and their associations with 1) disordered eating behaviors and 2) thinness/restriction and eating expectancies - a risk factor for disordered eating that is explicitly described by the AMC. It was anticipated that food craving profiles would parallel those defined by the AMC (i.e., approach oriented, avoidance oriented, ambivalent, indifferent) and that profiles defined by high avoidance food craving would be higher in compensatory behaviors, restricting behaviors, and thinness/restriction expectancies, while those defined by high approach food craving would be higher in binge eating and eating expectancies. A sample of 407 undergraduate students (54% female, 47% non-Hispanic White; Mage = 21 years) reported demographics, food craving disordered eating behaviors, and thinness/restriction and eating expectancies via an anonymous online survey. Latent profile analysis was used to test hypotheses. Hypotheses were partially supported. Four profiles were identified, but similar levels of approach and avoidance food craving were observed in each profile, with the intensity of the cravings increasing across the four profiles. Endorsement of disordered eating behaviors and expectancies also increased in intensity across the profiles. Findings suggest an additive, rather than interactive, effect of food craving.

Momentary stress-induced food craving: An ecological momentary assessment study comparing perceived interpersonal and non-interpersonal stressors.

Daily-life stressors and food cravings are dynamic and vary within and across persons. Some evidence suggests interpersonal stressors increase appetite. However, little is known about the association of food craving with different types of stressors at the momentary level in the general population. We aimed to explore the momentary relationships between daily-life stressful events and food craving in a non-clinical community sample, and to compare the associations with food craving when the most stressful event was perceived as interpersonal versus non-interpersonal. We used ecological momentary assessment (EMA) to collect reports on the most stressful event, perceived stressor type, stressor appraisal, and food craving from 123 adults three times a day scheduled at fixed intervals over 10 days. Mixed effects random intercepts and slopes models examined the within- and between-person associations. Experiencing a stressor was significantly positively associated with within-person food craving at the same measurement. No differences in momentary food craving were found when the most stressful event was perceived as interpersonal or non-interpersonal (within-person level). However, frequently reporting the most stressful event as interpersonal (vs. non-interpersonal) was positively associated with food craving across the study (between-person level), particularly when the stressor was appraised as more unpleasant. Daily-life stressors were associated with momentary food craving. Individuals who generally perceived interpersonal stressors as their most stressful event tended to experience food cravings. Future research could further investigate the role of interpersonal stressors as a factor for overeating in daily life and the potential benefits of stress management in interventions.

Efficacy of Transcranial Direct Current Stimulation for Controlling of Food Craving in Subjects With Overweight or Obesity: A Pilot Study.

OBJECTIVE: We aim to explore the effects of transcranial direct current stimulation (tDCS) on food craving improvement and changes in brain function associated with craving by conducting a total of 10 sessions of tDCS over a period of 2 weeks on overweight and obese subjects. METHODS: A total of 15 patients who were overweight or obese (body mass index [BMI] ≥23 kg/m2) were included. Weight, BMI, neuropsychological variables, and food craving-related variables were assessed. We measured absolute and relative power in 19 channels and analyzed quantitative electroencephalography (qEEG) according to the following frequency ranges: delta (1-4 Hz), theta (4-8 Hz), alpha (8-12 Hz), beta (12-25 Hz), high beta (25-30 Hz), and gamma (30-80 Hz). RESULTS: After the application of tDCS, there was no significant reduction observed in weight and BMI. However, all measures related to food and eating showed a decrease in the intensity of cravings, and there was also a significant reduction in depression, anxiety, and perceived stress. In qEEG analysis, an increase in theta waves was observed in the left frontal area (F7 and F3), an increase in alpha waves in the right parietal area (P4), and a decrease in beta waves in the frontal area (FP2) and occipital area (O1). CONCLUSION: This study confirmed the beneficial effects of tDCS on food craving regulation in overweight or obese individuals and observed improved scores in psychological factors such as depression and anxiety. Furthermore, neurophysiological changes related to food craving were observed using qEEG.

Food selection in a buffet scenario by persons in recovery from substance use disorder: Testing a parallel mediation model including impulsivity, food craving, and breadth of drug use.

Elevated food cravings and higher food consumption and body weight have been reported in studies of people in recovery from substance use disorder (SUD). In a previous study, SUD recovery status predicted the energy from selected food images in a virtual buffet meal, most strongly in those with high reward responsiveness. The present study was conducted to determine which psychological variables might mediate the relationship between SUD recovery status and food selection and to replicate the finding that reward responsiveness moderated this relationship. In an online study, 216 women and men (109 in recovery from SUD) were asked to choose from among 16 food images in an all-you-can-eat buffet scenario. Food craving, impulsivity, "food addiction", irrational food beliefs, anhedonia, and breadth of drug use were examined as potential mediators while reward responsiveness was examined as a potential moderator. The amount of energy in the selected foods was the outcome variable. Results indicated that breadth of drug use was a mediator; being in SUD recovery predicted higher variety of drug use which predicted higher food selection. However, reward responsiveness did not moderate the relationship between SUD recovery status and energy from the selected foods. Exploratory analysis indicated that lack of premeditation, a measure of impulsivity, with food craving partially mediated the relationship between breadth of drug use and energy from selected foods and that lack of premeditation fully mediated it for sweet foods. The results confirm an association between substance use and food selection and suggest a mechanism via impulsivity.

Food cravings after bariatric surgery: comparing laparoscopic sleeve gastrectomy and Roux-en-Y gastric bypass.

BACKGROUND: Research suggests that food choices, preferences, and tastes change after bariatric surgery, but evidence regarding changes in food cravings is mixed. OBJECTIVES: The primary aim of this cohort study was to compare food cravings during the first year following bariatric surgery in patients who had undergone sleeve gastrectomy (SG) versus Roux-en-Y gastric bypass (RYGB). SETTING: Integrated multispecialty health system, United States. METHODS: Patients aged ≥ 18 years seen between May 2017 and July 2019, provided informed consent, completed the Food Craving Inventory (FCI), and had ≥ 1 year of follow-up after undergoing primary SG or RYGB were included in the study. Secondary data captured included psychological and behavioral measures. Preoperative and postoperative (3, 6, 9, and 12 months) FCI scores of patients who underwent SG and RYGB were compared. RESULTS: Some attrition occurred postoperatively (N = 187 at baseline, 141 at 3 months, 108 at 6 months, 89 at 9 months, and 84 at 12 months). No significant relationship between pre- or postoperative food cravings and surgery type was found except on the carbohydrate subscale. Patients with higher preoperative food addiction symptoms were not more likely to experience an earlier reoccurrence of food cravings during the first 12 months after surgery. Likewise, patients with higher levels of preoperative depression and anxiety were not more likely to have early reoccurrence of food cravings during the first 12 months after surgery; however, those with higher PHQ9 scores at baseline had uniformly higher food craving scores at all timepoints (pre-surgery, 3 m, 6 m, 9 m, and 12 m). CONCLUSIONS: Results suggest that food cravings in the year after bariatric surgery are equivalent by surgery type and do not appear to be related to preoperative psychological factors or eating behaviors. LEVEL OF EVIDENCE: Level III: Evidence obtained from well-designed cohort.

Resting energy metabolism and sweet taste preference during the menstrual cycle in healthy women.

Differences in blood concentration of sex hormones in the follicular (FP) and luteal (LP) phases may influence energy metabolism in women. We compared fasting energy metabolism and sweet taste preference on a representative day of the FP and LP in twenty healthy women (25·3 (sd 5·1) years, BMI: 22·2 (sd 2·2) kg/m2) with regular self-reported menses and without the use of hormonal contraceptives. From the self-reported duration of the three prior menstrual cycles, the predicted FP and LP visits were scheduled for days 5-12 and 20-25 after menses, respectively. The order of the FP and LP visits was randomly assigned. On each visit, RMR and RQ by indirect calorimetry, sweet taste preference by the Monell two-series forced-choice tracking procedure, serum fibroblast growth factor 21 by a commercial ELISA (FGF21, a liver-derived protein with action in energy balance, fuel oxidation and sugar preference) and dietary food intake by a 24-h dietary recall were determined. Serum progesterone and oestradiol concentrations displayed the expected differences between phases. RMR was lower in the FP v. LP (5042 (sd 460) v. 5197 (sd 490) kJ/d, respectively; P = 0·04; Cohen effect size, d rm = 0·33), while RQ showed borderline significant higher values (0·84 (sd 0·05) v. 0·81 (sd 0·05), respectively; P = 0·07; d rm = 0·62). Also, in the FP v. LP, sweet taste preference was lower (12 (sd 8) v. 16 (sd 9) %; P = 0·04; d rm = 0·47) concomitant with higher serum FGF21 concentration (294 (sd 164) v. 197 (sd 104) pg/ml; P < 0·01; d rm = 0·66). The menstrual cycle is associated with changes in energy expenditure, sweet taste preference and oxidative fuel partitioning.

Is the Caloric Midpoint Associated with Food Cravings and Food Intake in Pregnant Women?

Objective: The field of chrononutrition suggests that mealtime can influence food intake. Previous studies have linked the caloric midpoint - defined as the time at which 50% of the daily energy is consumed - with different aspects of food consumption. However, its relationship with food craving remains unexplored. This cross-sectional study aimed to investigate the association between caloric midpoint, food craving, and food consumption in pregnant women.Methods: The study comprised 233 pregnant women classified as early eaters (caloric midpoint ≤ 1:00pm) and late eaters (caloric midpoint >1:00pm). Food craving were assessed using Food Craving Trait and State Questionnaires. Energy and nutrient intake, as well as mealtimes, were assessed using a 24-h food recall.Results: No association between caloric midpoint and food craving was found. However, late eaters consumed more calories (2039.47 kcal vs 1843.44 kcal; p < 0.001), carbohydrates (255.06 g vs 211.12 g; p = 0.002), total fat (73.1 g vs 64.8 g; p = 0.003), monounsaturated fat (21.33 mg vs 18.59 mg; p = 0.002) and saturated fat (24.37 mg vs 22.21 mh; p = 0.01) and had higher consumption of calories and macronutrients in the first (calories: 275.63 vs 213.41, p = 0.007; carbohydrate: 170.42 vs 142.54, p = 0.01; total fat: 56.49 vs 50.17, p = 0.04) and second (calories: 213.21 vs 151.59, p = 0.04; carbohydrate: 130.44 vs 96.6, p = 0.04; protein: 15.17 vs 13.71, p = 0.03) afternoon snack, dinner (calories: 576.89 vs 412.4, p < 0.001; carbohydrate: 230.76 vs 169.45, p < 0.001; protein: 80.48 vs 68.9, p = 0.02; total fat: 212.77 vs 147.12, p < 0.001) and late-night snack (calories: 135.75 vs 68.3, p = 0.04; total fat: 13.23 vs 22.45, p = 0.04) than early eaters.Conclusion: Pregnant women who concentrate their meals at later times consumed more calories, macro and micronutrients throughout the day and in the night meals when compared to early eaters.

Imagine chocolate: The craving experience questionnaire in the food domain.

Measurement of food craving has gained relevance in the current obesity epidemic. The Craving Experience Questionnaire (CEQ) considers not only craving intensity but also cognitive intrusiveness and imagery vividness as separate craving factors and could thus refine food craving assessment. It is available in two versions with ten items each. The CEQ-F assesses craving frequency across specific time periods and the CEQ-S time-point specific craving strength. Across three independent studies, N = 533 participants completed the German chocolate CEQ-F referenced at the past year to operationalise trait-like craving. Among them, N = 402 also completed the German chocolate CEQ-S referenced at the current moment to operationalise state-like craving. Four-week test-retest reliability was measured. For external validity, we assessed self-reported chocolate consumption, body-mass-index, trait approach motivation, general imagery vividness, and the most widely used food craving questionnaire, namely the Food Cravings Questionnaires in a trait (FCQ-T-r) and state version (FCQ-S), as well as behavioural approach bias (reaction time-based measurement). The three-factor structure was replicated with excellent internal consistency for both CEQ-F and CEQ-S. Test-retest reliability was moderate for both CEQ versions. CEQ-F scores were related to higher levels of chocolate consumption, approach motivation, and FCQ-T-r scores, but not to body-mass-index, imagery vividness, or approach bias. CEQ-S scores were associated with FCQ-S scores and partly with approach bias, but not with approach motivation and imagery vividness. The current results support the factor structure, validity and reliability of the German chocolate CEQ-S and CEQ-F with questions remaining regarding the ability of the CEQ-S to measure state craving. Thus, CEQ-F and CEQ-S usefully contribute to food craving assessment.

Cognitive reappraisal of food craving and emotions: a coordinate-based meta-analysis of fMRI studies.

Growing evidence supports the effectiveness of cognitive reappraisal in down-regulating food desire. Still, the neural bases of food craving down-regulation via reappraisal, as well as their degree of overlap vs specificity compared with emotion down-regulation, remain unclear. We addressed this gap through activation likelihood estimation meta-analyses of neuroimaging studies on the neural bases of (i) food craving down-regulation and (ii) emotion down-regulation, alongside conjunction and subtraction analyses among the resulting maps. Exploratory meta-analyses on activations related to food viewing compared with active regulation and up-regulation of food craving have also been performed. Food and emotion down-regulation via reappraisal consistently engaged overlapping activations in dorsolateral and ventrolateral prefrontal, posterior parietal, pre-supplementary motor and lateral posterior temporal cortices, mainly in the left hemisphere. Its distinctive association with the right anterior/posterior insula and left inferior frontal gyrus suggests that food craving down-regulation entails a more extensive integration of interoceptive information about bodily states and greater inhibitory control over the appetitive urge towards food compared with emotion down-regulation. This evidence is suggestive of unique interoceptive and motivational components elicited by food craving reappraisal, associated with distinctive patterns of fronto-insular activity. These results might inform theoretical models of food craving regulation and prompt novel therapeutic interventions for obesity and eating disorders.

Intense craving for eat: standardization of the Food Cravings Questionnaire-State in Mexico.

BACKGROUND: Food craving is an intense-compulsive response to eating highly appetizing foods. The Food Cravings Questionnaire-State (FCQ-S) is the most used instrument for its diagnosis. It is a multidimensional instrument, sensitive and adaptable to contextual and cultural changes. OBJECTIVE: To standardize the FCQ-S in the adult population of Mexico City. METHOD: Non-experimental, cross-sectional, at convenience design, with 1059 adults of both sexes, aged 18-84 years. It is highlighted that 71.9% of the participants were women. RESULTS: A reliability coefficient of 0.95 was obtained, the correlations between the items were from r = 0.598 to r = 0.793. With the exploratory factorial analysis, an MKO of sampling adequacy of 0.943 was obtained, and with the Bartlett sphericity test a p = 0.000. The factors explain 78.61% of the total variation of the data. The RMSEA was 0.068, which indicates an acceptable fit. The CFI was 0.974, considered good, and NNFI was 0.969, good fit. The correlations ranged from p < 0.05 to p < 0.01, showing a connection between the different dimensions. CONCLUSIONS: The FCQ-S is valid and adaptable in the Mexican population.

ANTECEDENTES: El food craving es un deseo intenso y compulsivo de comer alimentos altamente apetecibles. El Food Cravings Questionnaire-State (FCQ-S) es el instrumento más utilizado para su diagnóstico. Es un instrumento multidimensional, sensible y adaptable a cambios contextuales y culturales. OBJETIVO: estandarizar el FCQ-S en población adulta de la Ciudad de México. MÉTODO: Diseño no experimental, transversal y a conveniencia por método de bola de nieve, con 1059 adultos ambos sexos y de 18-84 años. Se destaca que el 71.9% de los participantes fueron mujeres. RESULTADOS: Se obtuvo un coeficiente de fiabilidad de 0.95 y las correlaciones entre los ítems fueron de r = 0.598 a r = 0.793. Con el análisis factorial exploratorio se obtuvo una MKO de adecuación de muestreo de 0.943, y con la prueba de esfericidad de Bartlett una p = 0.000. Los factores explican el 78.61% de la variación total de los datos. La RMSEA fue 0.068, lo cual indica ajuste aceptable. El CFI fue 0.974, considerado bueno, y el NNFI fue 0.969 (buen ajuste). Las correlaciones fueron de p < 0.05 a p < 0.01, lo que muestra una conexión entre las diferentes dimensiones. CONCLUSIONES: El FCQ-S es válido y adaptable en población mexicana.

Negative and positive interpretations of emotionally neutral situations modulate the desire to eat personally craved foods.

Emotions play an important role in modulating food craving. Previous studies demonstrated that exposure to negative or positive stimuli can subsequently influence the desire to eat. However, in many daily situations, individuals self-generate their emotions, for example, by interpreting emotionally-neutral situations as positive or negative. So far, no studies have examined if and how positive and negative interpretations of emotionally-neutral situations modulate food craving. In this study, 65 healthy participants were asked to interpret emotionally-neutral images negatively or positively or observe the images naturally. Subsequently, participants rated their state negative/positive affect and their desire to eat their personally craved foods. The results demonstrate a lower desire to eat craved foods after negative interpretations and a higher desire to eat after positive interpretations, compared to an observe-naturally condition. Additionally, the impact of emotional interpretations on the desire to eat was mediated by participants' state negative/positive affect. These findings suggest that self-generated emotion as a result of negative/positive interpretations plays a significant role in modulating food craving. The results highlight the potential of modifying affective interpretations for the treatment of disorders that are characterized by both dysregulated food craving and emotion.

Neural correlates of naturalistic single-trial appetitive conditioning.

BACKGROUND: Prior research suggests naturalistic single-trial appetitive conditioning may be a potent phenomenon in humans, capable of modulating both motivation and attention. In this study, we aimed to characterise the neural correlates of this phenomenon using functional Magnetic Resonance Imaging (fMRI) paradigms METHODS: Twenty-three healthy adults (12 males) underwent conditioning during which they ate a novel 3D object made from white chocolate (CS+) and handled a similar object made from plastic (CS-). Brain activity was recorded before and after conditioning during a passive viewing paradigm RESULTS: A naturalistic CS+ was rated as more highly craved, better-liked and elicited greater expectancies for chocolate than the CS- after conditioning. An exploration of the interaction between time (pre- and post-conditioning) and CS type (CS+, CS-) during the passive viewing task suggested enhanced activation from pre- to post-conditioning in the right superior frontal gyrus (R.SFG) in response to the CS-. CONCLUSION: Results reveal neural correlates of single-trial appetitive conditioning and highlight a possible role of response inhibition during learning about non-rewards, perhaps optimizing motivated behaviour. These findings contribute to our understanding of the neural mechanisms underpinning rapid reward and non-reward learning, and may inform development of behavioural interventions for reward-driven overeating.

Predictors of neurofeedback treatment outcome in binge-eating disorder: An exploratory study.

OBJECTIVE: Knowledge on predictors for treatment response to psychotherapy in binge-eating disorder (BED) is mixed and not yet available for increasingly popular neurofeedback (NF) treatment targeting self-regulation of aberrant brain activity. This study examined eating disorder- and psychopathology-related predictors for NF treatment success in BED. METHOD: Patients with BED (N = 78) were randomized to 12 sessions of real-time functional near-infrared spectroscopy (rtfNIRS)-NF, targeting individual prefrontal cortex signal up-regulation, electroencephalography (EEG)-NF, targeting down-regulation of fronto-central beta activity, or waitlist (WL). The few studies assessing predictors for clinical outcomes after NF and evidenced predictors for psychotherapy guided the selection of baseline eating disorder-related predictors, including objective binge-eating (OBE) frequency, eating disorder psychopathology (EDP), food cravings, and body mass index (BMI), and general psychopathology-related predictors, including depressive and anxiety symptoms, impulsivity, emotion dysregulation, and self-efficacy. These questionnaire-based or objectively assessed (BMI) predictors were regressed on outcomes OBE frequency and EDP as key features of BED at post-treatment (t1) and 6-month follow-up (t2) in preregistered generalized mixed models (https://osf.io/4aktp). RESULTS: Higher EDP, food cravings, and BMI predicted worse outcomes across all groups at t1 and t2. General psychopathology-related predictors did not predict outcomes at t1 and t2. Explorative analyses indicated that lower OBE frequency and higher self-efficacy predicted lower OBE frequency, and lower EDP predicted lower EDP after the waiting period in WL. DISCUSSION: Consistent with findings for psychotherapy, higher eating disorder-related predictors were associated with higher EDP and OBE frequency. The specificity of psychopathological predictors for NF treatment success warrants further examination. PUBLIC SIGNIFICANCE: This exploratory study firstly assessed eating disorder- and psychopathology-related predictors for neurofeedback treatment outcome in binge-eating disorder and overweight. Findings showed an association between higher eating disorder symptoms and worse neurofeedback outcomes, indicating special needs to be considered in neurofeedback treatment for patients with a higher binge-eating disorder symptom burden. In general, outcomes and assignment to neurofeedback treatment may be improved upon consideration of baseline psychological variables.

Tasting inhibition: A proof-of-concept study of the food stop-signal game.

Self-Control is an important skill in everyday life when attention is automatically drawn toward certain stimuli. For instance, food stimuli automatically capture visual attention and are processed preferentially. Therefore, efficient response inhibition is crucial to refrain from careless overeating. In the present proof-of-concept study we use a novel adaptation of a previously evaluated Stop-Signal Game (SSG) to measure reactive, food-specific, response inhibition in healthy adults. We analyzed a sample of 83 participants (60 female, mean age=24.1, mean BMI=21.71kg/m2) split into three groups. In a gamified stop-signal task, participants navigated an avatar in an urban environment toward high-calorie food, low-calorie food, or non-food stimuli in go-trials and were asked to inhibit the approach reaction in stop-trials. Hunger, eating styles, food craving, and impulsivity were assessed via self-reports to investigate their relationship with (food-specific) response inhibition. Results showed that response inhibition (in terms of stop-signal reaction time, SSRT) did not differ between the high-calorie, low-calorie, and non-food SSG which might be explained by characteristics of the sample. However, impulsivity was positively correlated with SSRT in the low-calorie SSG, whereas food-craving and hunger were positively related to response inhibition in the high-calorie SSG. Future studies could build upon the food SSG to measure and train food-specific response inhibition in the treatment of overeating.

Sex-specific association between regional gray matter volume and spicy food craving or consumption.

Both food cravings and long-term food consumption have been associated with brain changes. Sex differences in food craving are robust and substantial. The current study examined the potential sex-specific neuroanatomical correlates of spicy food craving and habitual spicy food consumption. One hundred and forty-nine participants completed the Spicy Food Consumption Questionnaire and the Spicy Food Craving Questionnaire while their structural brain images were acquired using a 3-T scanner. Multiple regression analysis was used to examine regional gray matter volume (GMV) in relation to questionnaire scores. GMV of the right supplementary motor area (SMA) and the dorsal superior frontal gyrus were significantly correlated with spicy food craving in women, whereas spicy food craving was associated with greater GMV of the inferior temporal gyrus and the occipital gyrus in men. In addition, habitual spicy food consumption was correlated with increased GMV of the bilateral putamen, left postcentral gyrus, and right paracentral lobule, which was more pronounced among female participants. These findings suggest distinct central neuroanatomical reflections of trait craving or habitual exposure to spicy flavors. The sex-specific correlation between spicy food craving and brain anatomical features may be related to food-related sensory imagery or cognitive control.

No effect of prefrontal transcranial direct current stimulation (tDCS) on food craving, food reward and subjective appetite in females displaying mild-to-moderate binge-type behaviour.

Previous work suggests there may be an effect of transcranial direct current stimulation (tDCS) on appetite control in people at risk of overconsumption, however findings are inconsistent. This study aimed to further understand the potential eating behaviour trait-dependent effect of tDCS, specifically in those with binge-type behaviour. Seventeen females (23 ± 7 years, 25.4 ± 3.8 kg m-2) with mild-to-moderate binge eating behaviour completed two sessions of double-blind, randomised and counterbalanced anodal and sham tDCS applied over the right dorsolateral prefrontal cortex at 2.0 mA for 20 min. Subjective appetite visual analogue scales (VAS), the Food Craving Questionnaire-State (FCQ-S), and Leeds Food Preference Questionnaire (LFPQ) were completed pre- and post-tDCS. Participants then consumed a fixed-energy meal, followed by the VAS, FCQ-S and LFPQ. No difference between pre- and post-tDCS scores were found across fullness (p = 0.275, BF10 = 0.040), prospective consumption (p = 0.127, BF10 = 0.063), desire to eat (p = 0.247, BF10 = 0.054) or FCQ-S measures (p = 0.918, BF10 = 0.040) when comparing active and sham protocols. Only explicit liking and wanting for high-fat sweet foods were significantly different between conditions, with increased scores following active tDCS. When controlling for baseline hunger, the significant differences were removed (p = 0.138 to 0.161, BF10 = 0.810 to 1.074). The present data does not support the eating behaviour trait dependency of tDCS in a specific cohort of female participants with mild-to-moderate binge eating scores, and results align with those from individuals with healthy trait scores. This suggests participants with sub-clinical binge eating behaviour do not respond to tDCS. Future work should further explore effects in clinical and sub-clinical populations displaying susceptibility to overconsumption and weight gain.

Predicting food craving in everyday life through smartphone-derived sensor and usage data.

Background: Food craving relates to unhealthy eating behaviors such as overeating or binge eating and is thus a promising target for digital interventions. Yet, craving varies strongly across the day and is more likely in some contexts (external, internal) than in others. Prediction of food cravings ahead of time would enable preventive interventions. Objective: The objective of this study was to investigate whether upcoming food cravings could be detected and predicted from passive smartphone sensor data (excluding geolocation information) without the need for repeated questionnaires. Methods: Momentary food craving ratings, given six times a day for 14 days by 56 participants, served as the dependent variable. Predictor variables were environmental noise, light, device movement, screen activity, notifications, and time of the day recorded from 150 to 30 min prior to these ratings. Results: Individual high vs. low craving ratings could be predicted on the test set with a mean area under the curve (AUC) of 0.78. This outperformed a baseline model trained on past craving values in 85% of participants by 14%. Yet, this AUC value is likely the upper bound and needs to be independently validated with longer data sets that allow a split into training, validation, and test sets. Conclusions: Craving states can be forecast from external and internal circumstances as these can be measured through smartphone sensors or usage patterns in most participants. This would allow for just-in-time adaptive interventions based on passive data collection and hence with minimal participant burden.