The DOI matches its Crossref record; 115 of the 116 references it cites were found in a registry or an index.
Nucleus accumbens response to food cues predicts subsequent snack consumption in women and increased body mass index in those with reduced self-control
Abstract
Individuals have difficulty controlling their food consumption, which is due in part to the ubiquity of tempting food cues in the environment. Individual differences in the propensity to attribute incentive (motivational) salience to and act on these cues may explain why some individuals eat more than others. Using fMRI in healthy women, we found that food cue related activity in the nucleus accumbens, a key brain region for food motivation and reward, was related to subsequent snack food consumption. However, both nucleus accumbens activation and snack food consumption were unrelated to self-reported hunger, or explicit wanting and liking for the snack. In contrast, food cue reactivity in the ventromedial prefrontal cortex was associated with subjective hunger/appetite, but not with consumption. Whilst the food cue reactivity in the nucleus accumbens that predicted snack consumption was not directly related to body mass index (BMI), it was associated with increased BMI in individuals reporting low self-control. Our findings reveal a neural substrate underpinning automatic environmental influences on consumption in humans and demonstrate how self-control interacts with this response to predict BMI. Our data provide support for theoretical models that advocate a 'dual hit' of increased incentive salience attribution to food cues and poor self-control in determining vulnerability to overeating and overweight.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“increases in the motivated drive to eat in the absence of food choices has been primarily associated with activity in the ventral striatum (independent of the effects of sleep loss)9.”
From The impact of sleep deprivation on food desire in the human brain (2013) · cites this paper as [9]
Citations
Cites
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900
(1998) · The Journal of Clinical Psychiatry · Cited by 19,139
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888
A global optimisation method for robust affine registration of brain images
Jenkinson, M., & Smith, S. M. (2001) · Medical Image Analysis · doi:10.1016/s1361-8415(01)00036-6 · Cited by 7,018
Diet, lifestyle, and the risk of type 2 diabetes mellitus in women.
Hu, F. B., Manson, J. E., Stampfer, M. J., Colditz, G., Liu, S., Solomon, C. G., & Willett, W. C. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa010492 · Cited by 2,901
Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data
Woolrich, M. W., Ripley, B. D., Brady, M., & Smith, S. M. (2001) · NeuroImage · doi:10.1006/nimg.2001.0931 · Cited by 2,859
Circular analysis in systems neuroscience: the dangers of double dipping
Kriegeskorte, N., Simmons, W. K., Bellgowan, P. S. F., & Baker, C. I. (2009) · Nature Neuroscience · doi:10.1038/nn.2303 · Cited by 2,696
Hayes, A. F., & Matthes, J. (2009) · Behavior Research Methods · doi:10.3758/brm.41.3.924 · Cited by 2,452
Obesity and the Environment: Where Do We Go from Here?
Hill, J. O., Wyatt, H. R., Reed, G. W., & Peters, J. C. (2003) · Science · doi:10.1126/science.1079857 · Cited by 2,180
A farewell to Bonferroni: the problems of low statistical power and publication bias
Nakagawa, S. (2004) · Behavioral Ecology · doi:10.1093/beheco/arh107 · Cited by 2,102
Cited by
Sorted by citations
Bardo, M. T., & Hammer, R. P. (1991) · Neuroscience · doi:10.1016/0306-4522(91)90226-e · Cited by 3,229
Berridge, K. C., & Kringelbach, M. L. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.018 · Cited by 1,730
Food cue reactivity and craving predict eating and weight gain: A meta-analytic review
Boswell, R. G., & Kober, H. (2016) · Obesity Reviews · doi:10.1111/obr.12354 · Cited by 703
The Prevalence of Food Addiction as Assessed by the Yale Food Addiction Scale: A Systematic Review
Pursey, K., Stanwell, P., Gearhardt, A. N., Collins, C. E., & Burrows, T. L. (2014) · Nutrients · doi:10.3390/nu6104552 · Cited by 589
Neuroscience of affect: brain mechanisms of pleasure and displeasure
Berridge, K. C., & Kringelbach, M. L. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.01.017 · Cited by 532
The nucleus accumbens: a comprehensive review
Salgado, S., & Kaplitt, M. G. (2015) · Stereotactic and Functional Neurosurgery · doi:10.1159/000368279 · Cited by 489
The impact of sleep deprivation on food desire in the human brain
Greer, S. M., Goldstein, A. N., & Walker, M. P. (2013) · Nature Communications · doi:10.1038/ncomms3259 · Cited by 375
Supra-Additive Effects of Combining Fat and Carbohydrate on Food Reward
DiFeliceantonio, A. G., Coppin, G., Rigoux, L., Thanarajah, S. E., Dagher, A., Tittgemeyer, M., & Small, D. M. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.05.018 · Cited by 302
de Araújo, I. E., Schatzker, M., & Small, D. M. (2019) · Annual Review of Psychology · doi:10.1146/annurev-psych-122216-011643 · Cited by 276
Training response inhibition to food is associated with weight loss and reduced energy intake
Lawrence, N., O'Sullivan, J., Parslow, D., Javaid, M., Adams, R. C., Chambers, C., Kos, K., & Verbruggen, F. (2015) · Appetite · doi:10.1016/j.appet.2015.06.009 · Cited by 254
Self-citationPursey, K. M., Stanwell, P., Callister, R. J., Brain, K., Collins, C. E., & Burrows, T. L. (2014) · Frontiers in Nutrition · doi:10.3389/fnut.2014.00007 · Cited by 239
The Teenage Brain: Sensitivity to Rewards
Galván, A. (2013) · Current Directions in Psychological Science · doi:10.1177/0963721413480859 · Cited by 231
Measuring wanting and liking from animals to humans: a systematic review
Pool, E., Sennwald, V., Delplanque, S., Brosch, T., & Sander, D. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.01.006 · Cited by 211
Jones, A., Hardman, C. A., Lawrence, N., & Field, M. (2017) · Appetite · doi:10.1016/j.appet.2017.05.032 · Cited by 214
Self-citationByrne, C. S., Chambers, E. S., Alhabeeb, H., Chhina, N., Morrison, D. J., Preston, T., Tedford, C., Fitzpatrick, J., Irani, C., Busza, A., et al. (2016) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.126706 · Cited by 201
Lawrence, N., Verbruggen, F., Morrison, S., Adams, R. C., & Chambers, C. (2014) · Appetite · doi:10.1016/j.appet.2014.11.006 · Cited by 204
Self-citationVainik, U., García‐García, I., & Dagher, A. (2019) · European Journal of Neuroscience · doi:10.1111/ejn.14352 · Cited by 202
Neural vulnerability factors that increase risk for future weight gain
Stice, E., & Yokum, S. (2016) · Psychological Bulletin · doi:10.1037/bul0000044 · Cited by 179
Meshi, D., Morawetz, C., & Heekeren, H. R. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00439 · Cited by 181
Individual variation in resisting temptation: Implications for addiction
Saunders, B. T., & Robinson, T. E. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.02.008 · Cited by 177
Neural Responses to Visual Food Cues: Insights from Functional Magnetic Resonance Imaging
García‐García, I., Narberhaus, A., Marqués‐Iturria, I., Garolera, M., Rădoi, A., Segura, B., Pueyo, R., Ariza, M., & Jurado, M. Á. (2013) · European Eating Disorders Review · doi:10.1002/erv.2216 · Cited by 166
Neural vulnerability factors for obesity
Stice, E. M., & Burger, K. S. (2018) · Clinical Psychology Review · doi:10.1016/j.cpr.2018.12.002 · Cited by 161
A neuromarker for drug and food craving distinguishes drug users from non-users
Koban, L., Wager, T. D., & Hedy Kober, A. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01228-w · Cited by 158
From Passive Overeating to “Food Addiction”: A Spectrum of Compulsion and Severity
Davis, C. A. (2013) · ISRN Obesity · doi:10.1155/2013/435027 · Cited by 168
Obesity and the Neurocognitive Basis of Food Reward and the Control of Intake
Ziauddeen, H., Alonso‐Alonso, M., Hill, J. O., Kelley, M. J., & Khan, N. A. (2015) · Advances in Nutrition · doi:10.3945/an.115.008268 · Cited by 158
Food Addiction: Implications for the Diagnosis and Treatment of Overeating
Adams, R. C., Sedgmond, J., Maizey, L., Chambers, C., & Lawrence, N. (2019) · Nutrients · doi:10.3390/nu11092086 · Cited by 158
Self-citationAdolescent brain maturation and smoking: What we know and where we’re headed
Lydon‐Staley, D. M., Wilson, S. J., Child, A. E., & Geier, C. F. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.07.003 · Cited by 143
Pathological overeating: emerging evidence for a compulsivity construct
Moore, C. F., Sabino, V., Koob, G. F., & Cottone, P. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2016.269 · Cited by 126
Goldstone, A. P., Miras, A. D., Scholtz, S., Jackson, S., Neff, K. J., Pénicaud, L., Geoghegan, J., Chhina, N., Durighel, G., Bell, J. D., et al. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-2665 · Cited by 121
Shared striatal activity in decisions to satisfy curiosity and hunger at the risk of electric shocks
Lau, J. K. L., Ozono, H., Kuratomi, K., Komiya, A., & Murayama, K. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0848-3 · Cited by 131
A functional neuroimaging review of obesity, appetitive hormones and ingestive behavior
Burger, K. S., & Berner, L. A. (2014) · Physiology & Behavior · doi:10.1016/j.physbeh.2014.04.025 · Cited by 110
Training motor responses to food: A novel treatment for obesity targeting implicit processes
Stice, E. M., Lawrence, N., Kemps, E., & Veling, H. (2016) · Clinical Psychology Review · doi:10.1016/j.cpr.2016.06.005 · Cited by 117
Self-citationIntegration of Sweet Taste and Metabolism Determines Carbohydrate Reward
Veldhuizen, M. G., Babbs, R. K., Patel, B. P., Fobbs, W. C., Kroemer, N. B., Garcia, E., Yeomans, M. R., & Small, D. M. (2017) · Current Biology · doi:10.1016/j.cub.2017.07.018 · Cited by 112
Neural Systems Underlying the Reappraisal of Personally Craved Foods
Giuliani, N. R., Mann, T. L., Tomiyama, A. J., & Berkman, E. T. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00563 · Cited by 106
Food for Thought: Reward Mechanisms and Hedonic Overeating in Obesity
Lee, P. C., & Dixon, J. B. (2017) · Current Obesity Reports · doi:10.1007/s13679-017-0280-9 · Cited by 97
van Meer, F., van der Laan, L. N., Adan, R. A. H., Viergever, M. A., & Smeets, P. A. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.069 · Cited by 98
Adams, R. C., Lawrence, N., Verbruggen, F., & Chambers, C. (2016) · Appetite · doi:10.1016/j.appet.2016.11.014 · Cited by 105
Self-citationOomen, D., Grol, M., Spronk, D. B., Booth, C., & Fox, E. (2018) · Appetite · doi:10.1016/j.appet.2018.09.007 · Cited by 102
Genetic risk for obesity predicts nucleus accumbens size and responsivity to real-world food cues
Rapuano, K. M., Zieselman, A. L., Kelley, W. M., Sargent, J. D., Heatherton, T. F., & Gilbert-Diamond, D. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1605548113 · Cited by 96
Dietary Restraint Violations Influence Reward Responses in Nucleus Accumbens and Amygdala
Demos, K. E., Kelley, W. M., & Heatherton, T. F. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21568 · Cited by 91
Behavioral and Neural Valuation of Foods Is Driven by Implicit Knowledge of Caloric Content
Tang, D. W., Fellows, L. K., & Dagher, A. (2014) · Psychological Science · doi:10.1177/0956797614552081 · Cited by 96
Potential psychological & neural mechanisms in binge eating disorder: Implications for treatment
Hedy Kober, A., & Boswell, R. G. (2017) · Clinical Psychology Review · doi:10.1016/j.cpr.2017.12.004 · Cited by 97
Impulsivity, “Advergames,” and Food Intake
Folkvord, F., Anschütz, D. J., Nederkoorn, C., Westerik, H., & Buijzen, M. (2014) · PEDIATRICS · doi:10.1542/peds.2013-3384 · Cited by 87
Neural Correlates of Protection Motivation for Secure IT Behaviors: An fMRI Examination
Warkentin, M. E., Walden, E. A., Johnston, A. C., & Straub, D. W. (2016) · Journal of the Association for Information Systems · doi:10.17705/1jais.00424 · Cited by 90
The Neuroscience of Adolescence
Galván, A. (2017) · Cambridge University Press eBooks · doi:10.1017/9781316106143 · Cited by 82
Resisting chocolate temptation using a brief mindfulness strategy
Jenkins, K., & Tapper, K. (2013) · British Journal of Health Psychology · doi:10.1111/bjhp.12050 · Cited by 82
Food cue reactivity in food addiction: A functional magnetic resonance imaging study
LaFata, E. M., Yokum, S., Jahn, A., & Gearhardt, A. N. (2019) · Physiology & Behavior · doi:10.1016/j.physbeh.2019.112574 · Cited by 87
Stice, E. M., & Yokum, S. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4365-15.2016 · Cited by 80
Food cue reactivity: Neurobiological and behavioral underpinnings
Kanoski, S. E., & Boutelle, K. N. (2022) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-022-09724-x · Cited by 78
Nucleus accumbens cytoarchitecture predicts weight gain in children
Rapuano, K. M., Laurent, J. S., Hagler, D. J., Hatton, S. N., Thompson, W. K., Jernigan, T. L., Dale, A. M., Casey, B. J., & Watts, R. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2007918117 · Cited by 79
Silvers, J. A., Insel, C., Powers, A., Franz, P., Weber, J., Mischel, W., Casey, B. J., & Ochsner, K. N. (2014) · Psychological Science · doi:10.1177/0956797614546001 · Cited by 76
Food Decision-Making: Effects of Weight Status and Age
van Meer, F., Charbonnier, L., & Smeets, P. A. M. (2016) · Current Diabetes Reports · doi:10.1007/s11892-016-0773-z · Cited by 82
van Meer, F., van der Laan, L. N., Charbonnier, L., Viergever, M. A., Adan, R. A. H., & Smeets, P. A. M. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.137240 · Cited by 77
Bürgler, S., Hoyle, R. H., & Hennecke, M. (2021) · European Journal of Personality · doi:10.1177/0890207021992907 · Cited by 75
Is obesity related to enhanced neural reactivity to visual food cues? A review and meta-analysis
Morys, F., García‐García, I., & Dagher, A. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa113 · Cited by 71
Uncontrolled eating in adolescents: The role of impulsivity and automatic approach bias for food
Booth, C., Spronk, D. B., Grol, M., & Fox, E. (2017) · Appetite · doi:10.1016/j.appet.2017.10.024 · Cited by 68
Dietary Management of Obesity: A Review of the Evidence
Hwalla, N., & Jaafar, Z. (2020) · Diagnostics · doi:10.3390/diagnostics11010024 · Cited by 66
Dissecting ultra-processed foods and drinks: Do they have a potential to impact the brain?
Contreras‐Rodríguez, O., Solanas, M., & Escorihuela, R. M. (2022) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-022-09711-2 · Cited by 78
van Galen, K. A., Schrantee, A., ter Horst, K. W., la Fleur, S. E., Booij, J., Constable, R. T., Schwartz, G. J., Dileone, R., & Serlie, M. J. M. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00816-9 · Cited by 67
Simon, J. J., Skunde, M., Wu, M., Schnell, K., Herpertz, S. C., Bendszus, M., Herzog, W., & Friederich, H. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu162 · Cited by 66
From cookies to carrots; the effect of inhibitory control training on children's snack selections
Porter, L., Bailey-Jones, C., Priudokaite, G., Allen, S., Wood, K., Stiles, K. M., Parvin, O., Javaid, M., Verbruggen, F., & Lawrence, N. (2017) · Appetite · doi:10.1016/j.appet.2017.05.010 · Cited by 70
Self-citationPapies, E. K., Best, M., Gelibter, E., & Barsalou, L. W. (2017) · Journal of the Association for Consumer Research · doi:10.1086/693110 · Cited by 75
Boutelle, K. N., Manzano, M. A., & Eichen, D. M. (2020) · Physiology & Behavior · doi:10.1016/j.physbeh.2020.113018 · Cited by 61
Neural response to fast food commercials in adolescents predicts intake
Gearhardt, A. N., Yokum, S., Harris, J. L., Epstein, L. H., & Lumeng, J. C. (2019) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqz305 · Cited by 60
Associations of reward sensitivity with food consumption, activity pattern, and BMI in children
Decker, A. D., Sioen, I., Verbeken, S., Braet, C., Michels, N., & Henauw, S. D. (2016) · Appetite · doi:10.1016/j.appet.2016.02.028 · Cited by 57
Neuroscience of Compulsive Eating Behavior
Moore, C. F., Sabino, V., Koob, G. F., & Cottone, P. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00469 · Cited by 56
Ihssen, N., Sokunbi, M. O., Lawrence, A. D., Lawrence, N., & Linden, D. E. J. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9558-x · Cited by 59
Self-citationSlow Down: Behavioural and Physiological Effects of Reducing Eating Rate
Hawton, K., Ferriday, D., Rogers, P. J., Toner, P., Brooks, J. C. W., Holly, J. M. P., Biernacka, K. M., Hamilton-Shield, J. P., & Hinton, E. C. (2018) · Nutrients · doi:10.3390/nu11010050 · Cited by 58
Self-citationCortico-limbic responsiveness to high-calorie food images predicts weight status among women
Killgore, W. D. S., Weber, M., Schwab, Z. J., Kipman, M., DelDonno, S. R., Webb, C. A., & Rauch, S. L. (2013) · International Journal of Obesity · doi:10.1038/ijo.2013.26 · Cited by 49
Academic stress and personality interact to increase the neural response to high-calorie food cues
Neseliler, S., Tannenbaum, B., Zacchia, M., Larcher, K., Coulter, K., Lamarche, M., Marliss, E. B., Pruessner, J., & Dagher, A. (2017) · Appetite · doi:10.1016/j.appet.2017.05.016 · Cited by 49
Effects of hunger state on the brain responses to food cues across the life span
Charbonnier, L., van Meer, F., Johnstone, A. M., Crabtree, D. R., Buosi, W., Μanios, Y., Androutsos, O., Giannopoulou, A., Viergever, M. A., & Smeets, P. A. M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.012 · Cited by 49
Adams, R. C., Button, K. S., Hickey, L., Morrison, S., Smith, A., Bolus, W. R., Coombs, E., Randolph, S., Hunt, R., Kim, D., et al. (2021) · Appetite · doi:10.1016/j.appet.2021.105601 · Cited by 43
Self-citationAlwafi, H. H., Alwafi, R., Naser, A., Samannodi, M. S., Aboraya, D., Salawati, E. M., Alqurashi, A., Ekram, R., Alzahrani, A. R., Aldhahir, A., et al. (2022) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s384523 · Cited by 31
Differences in Food Craving in Individuals With Obesity With and Without Binge Eating Disorder
Reents, J., & Pedersen, A. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.660880 · Cited by 49
Neural predictors of eating behavior and dietary change
Giuliani, N. R., Merchant, J. S., Cosme, D., & Berkman, E. T. (2018) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13637 · Cited by 45
Sweet taste potentiates the reinforcing effects of e-cigarettes
Kroemer, N. B., Veldhuizen, M. G., Delvy, R., Patel, B. P., O’Malley, S. S., & Small, D. M. (2018) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2018.07.102 · Cited by 279
Basal ganglia lateralization in different types of reward
Arsalidou, M., Vijayarajah, S., & Sharaev, M. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00215-3 · Cited by 43
Obesity‐induced tissue alterations resist weight loss: A mechanistic review
Guardia, L. D., & Shin, A. C. (2024) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15637 · Cited by 45
Han, P., Mohebbi, M., Seo, H., & Hummel, T. R. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116413 · Cited by 42
What Gets Measured Gets Done: Can Self-Tracking Technologies Enhance Advice Compliance?
Wittkowski, K., Klein, J. F., Falk, T., Schepers, J., Aspara, J., & Bergner, K. N. (2020) · Journal of Service Research · doi:10.1177/1094670520904424 · Cited by 43
Meule, A., & Platte, P. (2016) · Health Psychology Open · doi:10.1177/2055102916649585 · Cited by 39
Proximity effects in obesity rates in the US: A Spatial Markov Chains approach.
Agovino, M., Crociata, A., & Sacco, P. (2019) · Social Science & Medicine (1967) · doi:10.1016/j.socscimed.2018.11.013 · Cited by 37
Wilmskoetter, J., Bonilha, L., Martin‐Harris, B., Elm, J. J., Horn, J., & Bonilha, H. S. (2019) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2019.03.031 · Cited by 37
Kemps, E., & Tiggemann, M. (2013) · Appetite · doi:10.1016/j.appet.2013.05.001 · Cited by 36
Taste of Fat and Obesity: Different Hypotheses and Our Point of View
Brondel, L., Quilliot, D., Mouillot, T., Khan, N. A., Bastable, P., Boggio, V., Leloup, C., & Pénicaud, L. (2022) · Nutrients · doi:10.3390/nu14030555 · Cited by 36
Simon, J. J., Skunde, M., Sinno, M. H., Brockmeyer, T., Herpertz, S. C., Bendszus, M., Herzog, W., & Friederich, H. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00359 · Cited by 35
Aerobic exercise modulates anticipatory reward processing via the μ‐opioid receptor system
Saanijoki, T., Nummenmaa, L., Tuulari, J. J., Tuominen, L. J., Arponen, E., Kalliokoski, K. K., & Hirvonen, J. (2018) · Human Brain Mapping · doi:10.1002/hbm.24224 · Cited by 35
Processing Food Advertisements: Initial Biological Responses Matter
Bailey, R. L. (2014) · Communication Monographs · doi:10.1080/03637751.2014.971417 · Cited by 35
Harding, I. H., Andrews, Z. B., Mata, F., Orlandea, S., Martínez-Zalacaín, I., Soriano-Mas, C., Stice, E., & Verdejo-Garcia, A. (2018) · International Journal of Obesity · doi:10.1038/ijo.2017.237 · Cited by 31
Kroemer, N. B., Sun, X., Veldhuizen, M. G., Babbs, A. E., de Araújo, I. E., & Small, D. M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.12.031 · Cited by 34
Reward System Activation in Response to Alcohol Advertisements Predicts College Drinking
Courtney, A. L., Rapuano, K. M., Sargent, J. D., Heatherton, T. F., & Kelley, W. M. (2017) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2018.79.29 · Cited by 35
Greater Reward‐Related Neuronal Response to Hedonic Foods in Women Compared with Men
Legget, K. T., Cornier, M., Bessesen, D. H., Mohl, B., Thomas, E. A., & Tregellas, J. R. (2017) · Obesity · doi:10.1002/oby.22082 · Cited by 34
A dual-process approach to exploring the role of delay discounting in obesity
Price, M. J., Higgs, S., Maw, J., & Lee, M. D. (2016) · Physiology & Behavior · doi:10.1016/j.physbeh.2016.02.020 · Cited by 32
Aroma effects on food choice task behavior and brain responses to bakery food product cues
de Wijk, R. A., Smeets, P. A. M., Polet, I. A., Holthuysen, N. T. E., Zoon, H. F. A., & Vingerhoeds, M. H. (2018) · Food Quality and Preference · doi:10.1016/j.foodqual.2018.03.015 · Cited by 32
Asmaro, D., & Mario Liotti, A. (2014) · Nutrients · doi:10.3390/nu6010319 · Cited by 30
Effects of sales promotions, weight status, and impulsivity on purchases in a supermarket
Nederkoorn, C. (2013) · Obesity · doi:10.1002/oby.20621 · Cited by 29
Vollbrecht, P. J., Mabrouk, O. S., Nelson, A. D., Kennedy, R. T., & Ferrario, C. R. (2016) · Obesity · doi:10.1002/oby.21411 · Cited by 29
Neural predictors of chocolate intake following chocolate exposure
Frankort, A., Roefs, A., Siep, N., Roebroeck, A. F., Havermans, R. C., & Jansen, A. T. M. (2014) · Appetite · doi:10.1016/j.appet.2014.12.204 · Cited by 28
Neural systems implicated in obesity as an addictive disorder
LaFata, E. M., Yokum, S., Potenza, M. N., & Gearhardt, A. N. (2015) · Progress in brain research · doi:10.1016/bs.pbr.2015.07.011 · Cited by 31
Rising Obesity in Children: A Serious Public Health Concern
Roth, C. L., & Jain, V. (2018) · The Indian Journal of Pediatrics · doi:10.1007/s12098-018-2639-7 · Cited by 27
Metadata
- Authors
- Lawrence, N. S., Hinton, E. C., Parkinson, J. A., & Lawrence, A. D.
- Affiliations
- University of Exeter (GB)
- University of Bristol (GB)
- Bangor University (GB)
- Cardiff University (GB)
- Corresponding author
- Lawrence, Natalia S.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2012-10
- Volume
- 63
- Issue
- 1
- Pages
- 415-422
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W1968015570
- Cited by
- 242
- References
- 116
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 8 · 2023: 9 · 2022: 16 · 2021: 13 · 2020: 21 · 2019: 18 · 2018: 35 · 2017: 22 · 2016: 28 · 2015: 15 · 2014: 24 · 2013: 16
- FWCI
- 19.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Bristol Research (University of Bristol) (submittedVersion)
- Funders
- Wales Institute of Cognitive Neuroscience
- Topics
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
- Keywords
- nucleus accumbens, food cues, snacking, self-control, body mass index, incentive salience, food cue reactivity, ventromedial prefrontal cortex, hunger, appetite, food motivation, overeating, overweight, women
- MeSH terms
- Adolescent, Adult, Appetite, Choice Behavior, Cues, Feeding Behavior, Female, Humans, Magnetic Resonance Imaging, Motivation, Nucleus Accumbens, Body Mass Index, Intention, Young Adult, Snacks
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review