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Widespread reward-system activation in obese women in response to pictures of high-calorie foods
Abstract
Behavioral studies have suggested that exaggerated reactivity to food cues, especially those associated with high-calorie foods, may be a factor underlying obesity. This increased motivational potency of foods in obese individuals appears to be mediated in part by a hyperactive reward system. We used a Philips 3T magnet and fMRI to investigate activation of reward-system and associated brain structures in response to pictures of high-calorie and low-calorie foods in 12 obese compared to 12 normal-weight women. A regions of interest (ROI) analysis revealed that pictures of high-calorie foods produced significantly greater activation in the obese group compared to controls in medial and lateral orbitofrontal cortex, amygdala, nucleus accumbens/ventral striatum, medial prefrontal cortex, insula, anterior cingulate cortex, ventral pallidum, caudate, putamen, and hippocampus. For the contrast of high-calorie vs. low-calorie foods, the obese group also exhibited a larger difference than the controls did in all of the same regions of interest except for the putamen. Within-group contrasts revealed that pictures of high-calorie foods uniformly stimulated more activation than low-calorie foods did in the obese group. By contrast, in the control group, greater activation by high-calorie foods was seen only in dorsal caudate, whereas low-calorie foods were more effective than high-calorie foods in the lateral orbitofrontal cortex, medial prefrontal cortex, and anterior cingulate cortex. In summary, compared to normal-weight controls, obese women exhibited greater activation in response to pictures of high-calorie foods in a large number of regions hypothesized to mediate motivational effects of food cues.
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“The hypothesis of compensatory overeating is consistent with preclinical evidence showing that decreased DA activity in VTA results in a dramatic increase in the consumption of high-fat foods (89).”
From Obesity and addiction: Neurobiological overlaps (2013) · cites this paper as [89]
In the citing paper
“Preclinical studies showing that decreased DA activity in VTA results in a dramatic increase in the consumption of high-fat foods (47) partially support this hypothesis.”
From The Addictive Dimensionality of Obesity (2013) · cites this paper as [47]
In the citing paper
“This hypothesis is consistent with preclinical evidence showing that decreased DA activity in VTA results in a dramatic increase in the consumption of high-fat foods (Stoeckel et al 2008).”
From Food and Drug Reward: Overlapping Circuits in Human Obesity and Addiction (2011) · cites this paper as Stoeckel et al 2008
In the citing paper
“Third, we focused on a spe-cific dietary factor by controlling for calorie content, macronutrient composition, ingredient sources, and food form, instead of comparing grossly different foods (eg, cheesecake compared with vegetables) (6,10,31,32).”
From Effects of dietary glycemic index on brain regions related to reward and craving in men (2013) · cites this paper as [10]
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
Development and validation of brief measures of positive and negative affect: The PANAS scales.
Watson, D., Clark, L. A., & Tellegen, A. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.6.1063 · Cited by 32,433
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
Osgood, C. E., Suci, G. J., & Tannenbaum, P. H. (1957) · Cited by 9,433
Statistical Methods for Psychology.
Gudgeon, A. C., & Howell, D. C. (1994) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.2307/2348956 · Cited by 8,277
Meeting of minds: the medial frontal cortex and social cognition
Amodio, D. M., & Frith, C. D. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1884 · Cited by 3,782 · cited 1×
“There is evidence that Med PFC and rostral ACC process the relative value of an anticipated reward and use that information in mediating action selection between competing responses (Amodio and Frith, 2006; Marsh et al., 2006).”
The Neural Basis of Addiction: A Pathology of Motivation and Choice
Kalivas, P. W., & Volkow, N. D. (2005) · American Journal of Psychiatry · doi:10.1176/appi.ajp.162.8.1403 · Cited by 2,757
Region of interest analysis using an SPM toolbox
Brett, M. (2002) · NeuroImage · Cited by 2,273
The human orbitofrontal cortex: linking reward to hedonic experience
Kringelbach, M. L. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1747 · Cited by 2,180
Flagged first, then by citations
Research works printed but not linked: 2
- Cook, 1987, Stimulus control and data acquisition for IBM PCs and compatibiles, Psychophysiology, 24, 726
- Le Noury, 2002, Food choice and hedonic responses: differences between overweight and lean high-fat phenotypes, Int. J. Obes., 26, S125
Cited by
Sorted by citations
Items 301–400 of 856
Li, G., Hu, Y., Zhang, W., Ding, Y., Wang, Y., Wang, J., He, Y., Lv, G., von Deneen, K. M., Zhao, Y., et al. (2020) · Addiction Biology · doi:10.1111/adb.12974 · Cited by 40
The Insular Cortex Controls Food Preferences Independently of Taste Receptor Signaling
Oliveira-Maia, A. J., de Araújo, I. E., Monteiro, C., Workman, V. K., Galhardo, V., & Nicolelis, M. A. L. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00005 · Cited by 40
Roth, C. L., Aylward, E., Liang, O., Kleinhans, N. M., Pauley, G., & Schur, E. A. (2012) · Obesity Facts · doi:10.1159/000338695 · Cited by 40
Polycystic Ovary Syndrome and Brain: An Update on Structural and Functional Studies
Saydam, B. Ö., & Yıldız, B. O. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa843 · Cited by 39
Dodds, C. M., O’Neill, B. V., Beaver, J. D., Makwana, A., Bani, M., Merlo‐Pich, E., Fletcher, P. C., Koch, A., Bullmore, E. T., & Nathan, P. J. (2012) · Appetite · doi:10.1016/j.appet.2012.03.007 · Cited by 40
Nansel, T. R., Lipsky, L. M., Eisenberg, M. H., Haynie, D. L., Liu, D., & Simons‐Morton, B. G. (2016) · Frontiers in Nutrition · doi:10.3389/fnut.2016.00033 · Cited by 40
Valence, familiarity and arousal of different foods in relation to age, sex and weight
Padulo, C., Carlucci, L., Manippa, V., Marzoli, D., Saggino, A., Tommasi, L., Puglisi‐Allegra, S., & Brancucci, A. (2016) · Food Quality and Preference · doi:10.1016/j.foodqual.2016.12.010 · Cited by 40
Odours count: human olfactory ecology appears to be helpful in the improvement of the sense of smell
Oleszkiewicz, A., Heyne, L., Sienkiewicz-Oleszkiewicz, B., Cuevas, M., Haehner, A., & Hummel, T. R. (2021) · Scientific Reports · doi:10.1038/s41598-021-96334-3 · Cited by 42
Gaining New Insights into Food Reward with Functional Neuroimaging
Neary, M. T., & Batterham, R. L. (2009) · Forum of nutrition/Bibliotheca Nutritio et dieta · doi:10.1159/000264403 · Cited by 38
Thomas, E. A., Bechtell, J. L., Vestal, B. E., Johnson, S. L., Bessesen, D. H., Tregellas, J. R., & Cornier, M. (2013) · Appetite · doi:10.1016/j.appet.2013.01.015 · Cited by 41
Allen, P. J., Batra, P. J., Geiger, B. M., Wommack, T., Gilhooly, C. H., & Pothos, E. N. (2012) · Physiology & Behavior · doi:10.1016/j.physbeh.2012.05.005 · Cited by 39
Habituation to the pleasure elicited by sweetness in lean and obese women
Pepino, M. Y., & Mennella, J. A. (2012) · Appetite · doi:10.1016/j.appet.2012.01.026 · Cited by 39
FTO gene variant modulates the neural correlates of visual food perception
Kühn, A. B., Feis, D., Schilbach, L., Kracht, L., Hess, M. E., Mauer, J., Brüning, J. C., & Tittgemeyer, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.12.049 · Cited by 38
Priming food intake with weight control cues: systematic review with a meta-analysis
Buckland, N. J., Er, V., Redpath, I., & Beaulieu, K. (2018) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-018-0698-9 · Cited by 36
Carbine, K. A., Duraccio, K. M., Hedges‐Muncy, A., Barnett, K. A., Kirwan, C. B., & Jensen, C. D. (2019) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00036-4 · Cited by 39
Babiloni, C., Percio, C. D., Valenzano, A. A., Marzano, N., Rosas, M. D., Petito, A., Bellomo, A., Rossi, G., Lecce, B., Mundi, C., et al. (2009) · Clinical Neurophysiology · doi:10.1016/j.clinph.2009.06.012 · Cited by 38
Forebrain circuits and control of feeding by learned cues
Petrovich, G. D. (2011) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2010.10.003 · Cited by 37
Ghrelin At the Interface of Obesity and Reward
Schellekens, H., Dinan, T. G., & Cryan, J. F. (2013) · Vitamins and hormones · doi:10.1016/b978-0-12-407766-9.00013-4 · Cited by 38
Park, B., Seo, J., Yi, J., & Park, H. (2015) · PLoS ONE · doi:10.1371/journal.pone.0141376 · Cited by 37
Frankort, A., Roefs, A., Siep, N., Roebroeck, A. F., Havermans, R. C., & Jansen, A. T. M. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht016 · Cited by 37
Massive weight loss following deep brain stimulation of the nucleus accumbens in a depressed woman
Tronnier, V. M., Rasche, D., Thorns, V., Alvarez‐Fischer, D., Münte, T. F., & Zurowski, B. (2018) · Neurocase · doi:10.1080/13554794.2018.1431678 · Cited by 39
Lipids and obesity: Also a matter of taste?
Besnard, P. (2016) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-016-9355-2 · Cited by 38
Appetite, Satiety, and Food Reward in Obese Individuals: A Behavioral Phenotype Approach
Dalton, M., Finlayson, G., Esdaile, E. K., & King, N. A. (2013) · Current Nutrition Reports · doi:10.1007/s13668-013-0060-4 · Cited by 42
Moving beyond energy homeostasis: New roles for glucagon-like peptide-1 in food and drug reward
Reddy, I. A., Stanwood, G. D., & Galli, A. (2013) · Neurochemistry International · doi:10.1016/j.neuint.2013.10.003 · Cited by 36
Enhanced carbohydrate craving in patients with poorly controlled Type 2 diabetes mellitus
Yu, J. H., Shin, M. S., Kim, D. J., Lee, J. R., Yoon, S., Kim, S. G., Koh, E. H., Lee, W. J., Park, J.-Y., & Kim, M. ‐. (2013) · Diabetic Medicine · doi:10.1111/dme.12209 · Cited by 35
Lahey, B. B., McNealy, K., Knodt, A. R., Zald, D. H., Sporns, O., Manuck, S. B., Flory, J. D., Applegate, B. E., Rathouz, P. J., & Hariri, A. R. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.002 · Cited by 40
Food-Related Odors Activate Dopaminergic Brain Areas
Sorokowska, A., Schoen, K., Hummel, C., Han, P., Warr, J., & Hummel, T. R. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00625 · 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
Neural processing of food cues in pre‐pubertal children
LUO, S. H., Alves, J. M., Hardy, K., Wang, X., Monterosso, J. R., Xiang, A. H., & Page, K. A. (2018) · Pediatric Obesity · doi:10.1111/ijpo.12435 · Cited by 35
Revisiting the Ghrelin Changes Following Bariatric and Metabolic Surgery
Tuero, C., Valentí, V., Rotellar, F., Landecho, M. F., Cienfuegos, J. A., & Frühbeck, G. (2020) · Obesity Surgery · doi:10.1007/s11695-020-04601-5 · Cited by 39
Bariatric Surgery and the Central Nervous System
Rao, R. S. (2012) · Obesity Surgery · doi:10.1007/s11695-012-0649-5 · Cited by 35
Eiler, W. J. A., Džemidžić, M., Case, K. R., Considine, R. V., & Kareken, D. A. (2012) · Chemosensory Perception · doi:10.1007/s12078-011-9112-6 · Cited by 36
Verdejo‐Román, J., Fornito, A., Soriano‐Mas, C., Vilar‐López, R., & Verdejo‐García, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.011 · Cited by 36
The gut-brain axis mediates bacterial driven modulation of reward signaling
Kim, J. S., Williams, K., Kirkland, R. A., Schade, R., Freeman, K. G., Cawthon, C. R., Rautmann, A. W., Smith, J. M., Edwards, G. L., Glenn, T. C., et al. (2023) · Molecular Metabolism · doi:10.1016/j.molmet.2023.101764 · Cited by 32
Impaired Early-Response Inhibition in Overweight Females with and without Binge Eating Disorder
Svaldi, J., Naumann, E., Biehl, S. C., & Schmitz, F. (2015) · PLoS ONE · doi:10.1371/journal.pone.0133534 · Cited by 36
Jensen, C. D., Duraccio, K. M., Barnett, K. A., Carbine, K. A., Stevens, K. S., Muncy, N. M., & Kirwan, C. B. (2019) · SLEEP · doi:10.1093/sleep/zsz001 · Cited by 35
Kerem, L., Hadjikhani, N. K., Holsen, L. M., Lawson, E. A., & Plessow, F. (2019) · International Journal of Obesity · doi:10.1038/s41366-019-0489-7 · Cited by 35
Whole‐brain functional connectivity correlates of obesity phenotypes
Park, B., Byeon, K., Lee, M. J., Chung, C., Kim, S., Morys, F., Bernhardt, B. C., Dagher, A., & Park, H. (2020) · Human Brain Mapping · doi:10.1002/hbm.25167 · Cited by 32
Obesity is associated with decreased gray matter volume in children: a longitudinal study
Jiang, F., Li, G., Ji, W., Zhang, Y., Wu, F., Hu, Y., Zhang, W., Manza, P., Tomasi, D. G., Volkow, N. D., et al. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac300 · Cited by 34
Incidental rewarding cues influence economic decisions in people with obesity
Simmank, J., Murawski, C., Bode, S., & Horstmann, A. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00278 · Cited by 32
Pisapia, J. M., Halpern, C. H., Müller, U., Vinai, P., Wolf, J. A., Whiting, D. M., Wadden, T. A., Baltuch, G. H., & Caplan, A. L. (2013) · AJOB Neuroscience · doi:10.1080/21507740.2013.770420 · Cited by 33
Computer training of attention and inhibition for youngsters with obesity: A pilot study
Verbeken, S., Braet, C., Naets, T., Houben, K., & Boendermaker, W. J. (2018) · Appetite · doi:10.1016/j.appet.2017.12.029 · Cited by 36
Cerit, H., Davidson, P., Hye, T., Moondra, P., Haimovici, F., Sogg, S., Shikora, S. A., Goldstein, J. M., Evins, A. E., Whitfield, S., et al. (2019) · Obesity · doi:10.1002/oby.22607 · Cited by 33
Self-citationAssociations between ghrelin and leptin and neural food cue reactivity in a fasted and sated state
Wever, M. C. M., van Meer, F., Charbonnier, L., Crabtree, D. R., Buosi, W., Giannopoulou, A., Androutsos, O., Johnstone, A. M., Μanios, Y., Meek, C. L., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118374 · Cited by 34
Kantonen, T., Pekkarinen, L., Karjalainen, T., Bucci, M., Kalliokoski, K. K., Haaparanta‐Solin, M., Aarnio, R., Dickens, A. M., von Eyken, A., Laitinen, K., et al. (2021) · International Journal of Obesity · doi:10.1038/s41366-021-00996-y · Cited by 31
Regulation of Energy Balance and Body Weight by the Brain: A Distributed System Prone to Disruption
Faulconbridge, L. F., & Hayes, M. R. (2011) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2011.08.008 · Cited by 34
Tschritter, O., Haupt, A., Preissl, H. T., Ketterer, C., Hennige, A. M., Sartorius, T., Machicao, F. E., Fritsche, A., & Häring, H. (2011) · Journal of Obesity · doi:10.1155/2011/283153 · Cited by 33
Optogenetic and chemogenetic insights into the food addiction hypothesis
Krashes, M. J., & Kravitz, A. V. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00057 · Cited by 34
Frank, S., Heinze, J. M., Fritsche, A., Linder, K., von Feilitzsch, M., Königsrainer, A., Häring, H., Veit, R., & Preissl, H. T. (2016) · Diabetes Care · doi:10.2337/dc16-0094 · Cited by 32
Disrupted topological organization of the frontal-mesolimbic network in obese patients
Meng, Q., Han, Y., Ji, G., Li, G., Hu, Y., Liu, L., Jin, Q., von Deneen, K. M., Zhao, J., Cui, G., et al. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9802-z · Cited by 33
Soto‐Montenegro, M. L., Pascau, J., & Desco, M. (2014) · Molecular Imaging and Biology · doi:10.1007/s11307-014-0753-0 · Cited by 32
Wagner, L., Veit, R., Fritsche, L., Häring, H., Fritsche, A., Birkenfeld, A. L., Heni, M., Preissl, H. T., & Kullmann, S. (2022) · International Journal of Obesity · doi:10.1038/s41366-022-01167-3 · Cited by 33
Neuropeptide-Y alters VTA dopamine neuron activity through both pre- and postsynaptic mechanisms
West, K. S., & Roseberry, A. G. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00879.2016 · Cited by 32
Ketterer, C., Heni, M., Stingl, K. T., Tschritter, O., Linder, K., Wagner, R. J., Machicao, F. E., Häring, H., Preissl, H. T., Staiger, H., et al. (2013) · Obesity · doi:10.1002/oby.20573 · Cited by 31
Romer, A. L., Kang, M. S., Nikolova, Y. S., Gearhardt, A. N., & Hariri, A. R. (2018) · Appetite · doi:10.1016/j.appet.2018.09.010 · Cited by 36
van Ruiten, C. C., ten Kulve, J. S., van Bloemendaal, L., Nieuwdorp, M., Veltman, D. J., & IJzerman, R. G. (2022) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2022.105667 · Cited by 36
Differential reward response to palatable food cues in past and current dieters: A fMRI study
Ely, A. V., Childress, A. R., Jagannathan, K., & Lowe, M. R. (2013) · Obesity · doi:10.1002/oby.20599 · Cited by 31
Longevity of attentional bias modification effects for food cues in overweight and obese individuals
Kemps, E., Tiggemann, M., & Hollitt, S. (2015) · Psychology and Health · doi:10.1080/08870446.2015.1077251 · Cited by 31
Jakobsdóttir, S., van Nieuwpoort, I. C., van Bunderen, C. C., de Ruiter, M. B., Twisk, J. W. R., Deijen, J. B., Veltman, D. J., & Drent, M. L. (2016) · International Journal of Obesity · doi:10.1038/ijo.2016.103 · Cited by 31
de Carvalho, F. M. C., de Lima, V. C. O., Costa, I. D. S., Luz, A. B. S., Ladd, F. V. L., Serquiz, A. C., Bortolin, R. H., Silbiger, V. N., Maciel, B. L. L., dos Santos, E. A., et al. (2019) · Nutrients · doi:10.3390/nu11030512 · Cited by 30
Ferrario, C. R. (2020) · Physiology & Behavior · doi:10.1016/j.physbeh.2020.113114 · Cited by 30
Hu, Y., Ji, G., Li, G., Manza, P., Zhang, W., Wang, J., Lv, G., He, Y., Zhang, Z., Yuan, K., et al. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa294 · Cited by 32
The role of the nucleus accumbens and ventral pallidum in feeding and obesity
Gendelis, S., Inbar, D., & Kupchik, Y. M. (2021) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2021.110394 · Cited by 30
Mizuno, K., Yoneda, T., Komi, M., Hirai, T., Watanabe, Y., & Tomoda, A. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.03.004 · Cited by 30
Weygandt, M., Spranger, J., Leupelt, V., Maurer, L., Bobbert, T., Mai, K., & Haynes, J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.058 · Cited by 31
Yang, M., Singh, A., de Araujo, A., McDougle, M. J., Ellis, H., Décarie-Spain, L., Kanoski, S. E., & de Lartigue, G. (2025) · Nature Metabolism · doi:10.1038/s42255-024-01194-6 · Cited by 34
English, L., Fearnbach, S. N., Lasschuijt, M. P., Schlegel, A., Anderson, K. E., Harris, S., Wilson, S. J., Fisher, J. O., Savage, J. S., Rolls, B. J., et al. (2016) · International Journal of Obesity · doi:10.1038/ijo.2016.126 · Cited by 30
van Ruiten, C. C., Veltman, D. J., Schrantee, A., van Bloemendaal, L., Barkhof, F., Kramer, M. H. H., Nieuwdorp, M., & IJzerman, R. G. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac043 · Cited by 35
Food-Specific Inhibition Training for Food Devaluation: A Meta-Analysis
Yang, Y., Qi, L., Morys, F., Wu, Q., & Chen, H. (2022) · Nutrients · doi:10.3390/nu14071363 · Cited by 29
Towards precision medicine in bariatric surgery prescription
Pereira, S. S., Guimarães, M., & Monteiro, M. P. (2023) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-023-09801-9 · Cited by 34
Obese rats with deficient leptin signaling exhibit heightened sensitivity to olfactory food cues
Thanos, P. K., Robison, L. S., Robinson, J. K., Michaelides, M., Wang, G., & Volkow, N. D. (2012) · Synapse · doi:10.1002/syn.21627 · Cited by 29
Neural signature of the Food Craving Questionnaire (FCQ)-Trait
Martin, U., Steigleder, L., & Grön, G. (2016) · Appetite · doi:10.1016/j.appet.2016.08.012 · Cited by 29
Soto‐Montenegro, M. L., Pascau, J., & Desco, M. (2016) · Molecular Imaging and Biology · doi:10.1007/s11307-016-0933-1 · 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
Altered dynamics between neural systems sub-serving decisions for unhealthy food
He, Q., Xiao, L., Xue, G., Wong, S. W. H., Ames, S. L., Xie, B., & Bechara, A. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00350 · Cited by 28
Liu, X., Gao, S., Zhang, N., Jin, T., Sun, X., Luan, X., Xu, L., & Guo, F. (2020) · Neuropeptides · doi:10.1016/j.npep.2020.102028 · Cited by 28
Converging vulnerability factors for compulsive food and drug use
Serafine, K. M., O’Dell, L. E., & Zorrilla, E. P. (2021) · Neuropharmacology · doi:10.1016/j.neuropharm.2021.108556 · Cited by 29
Althubeati, S., Avery, A., Tench, C. R., Lobo, D. N., Salter, A. M., & Eldeghaidy, S. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104603 · Cited by 28
Legget, K. T., Cornier, M., Sarabia, L., Delao, E. M., Mikulich‐Gilbertson, S. K., Natvig, C. L., Erpelding, C., Mitchell, T., Hild, A., Kronberg, E., et al. (2023) · Nutrients · doi:10.3390/nu15030762 · Cited by 33
Brain imaging in the context of food perception and eating
Hollmann, M., Pleger, B., Villringer, A., & Horstmann, A. (2012) · Current Opinion in Lipidology · doi:10.1097/mol.0b013e32835b61a4 · Cited by 30
Deep Brain Stimulation for Obesity
Ho, A. L., Sussman, E. S., Zhang, M., Pendharkar, A. V., Azagury, D. E., Bohon, C., & Halpern, C. H. (2015) · Cureus · doi:10.7759/cureus.259 · Cited by 28
Fearnbach, S. N., English, L., Lasschuijt, M. P., Wilson, S. J., Savage, J. S., Fisher, J. O., Rolls, B. J., & Keller, K. (2016) · Physiology & Behavior · doi:10.1016/j.physbeh.2016.03.007 · Cited by 27
Discordance Between Central (Brain) and Pancreatic Action of Exenatide in Lean and Obese Subjects
Eldor, R., Daniele, G., Huerta, C., Al-Atrash, M., Adams, J. M., DeFronzo, R. A., Duong, T. Q., Lancaster, J. B., Zirie, M. A., Jayyousi, A., et al. (2016) · Diabetes Care · doi:10.2337/dc15-2706 · Cited by 27
Brain functional imaging in obese and diabetic patients
Guzzardi, M. A., & Iozzo, P. (2018) · Acta Diabetologica · doi:10.1007/s00592-018-1185-0 · Cited by 27
BDNF influences neural cue-reactivity to food stimuli and food craving in obesity
Bumb, J. M., Bach, P., Grosshans, M., Wagner, X., Koopmann, A., Vollstädt‐Klein, S., Schuster, R., Wiedemann, K., & Kiefer, F. (2020) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-020-01224-w · Cited by 30
Homeostasis and food craving in obesity: a functional MRI study
Stopyra, M. A., Friederich, H., Lavandier, N., Mönning, E., Bendszus, M., Herzog, W., & Simon, J. J. (2021) · International Journal of Obesity · doi:10.1038/s41366-021-00920-4 · Cited by 27
Anversa, R. G., Campbell, E. J., Walker, L. C., Ch’ng, S. S., Muthmainah, M., Kremer, F. S., Guimarães, A. M., O'Shea, M. J., He, S., Dayas, C. V., et al. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-023-01665-6 · Cited by 27
Nutritional Controls of Food Reward
Fernandes, M. F., Sharma, S., Hryhorczuk, C., Auguste, S., & Fulton, S. (2013) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2013.04.004 · Cited by 27
Regulation of body weight: What is the regulated parameter?
Bessesen, D. H. (2011) · Physiology & Behavior · doi:10.1016/j.physbeh.2011.05.006 · Cited by 29
Babiloni, C., Marzano, N., Lizio, R., Valenzano, A. A., Triggiani, A. I., Petito, A., Bellomo, A., Lecce, B., Mundi, C., Soricelli, A., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.080 · Cited by 27
Martin, C. K., McClernon, F. J., Chellino, A., & Correa, J. B. (2011) · Springer eBooks · doi:10.1007/978-0-387-92271-3_49 · Cited by 28
Brain imaging demonstrates a reduced neural impact of eating in obesity
Puzziferri, N., Zigman, J. M., Thomas, B. P., Mihalakos, P., Gallagher, R., Lutter, M. L., Carmody, T. J., Lu, H., & Tamminga, C. A. (2016) · Obesity · doi:10.1002/oby.21424 · Cited by 28
Caudate–Precuneus Functional Connectivity Is Associated with Obesity Preventive Eating Tendency
Nakamura, Y., & Ikuta, T. (2017) · Brain Connectivity · doi:10.1089/brain.2016.0424 · Cited by 27
van Dillen, L. V., & van Steenbergen, H. (2018) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-018-0579-3 · Cited by 27
Food addiction distinguishes an overweight phenotype that can be reversed by low calorie diet
Guzzardi, M. A., Garelli, S., Agostini, A., Filidei, E., Fanelli, F., Giorgetti, A., Mezzullo, M., Fucci, S., Mazza, R., Vicennati, V., et al. (2018) · European Eating Disorders Review · doi:10.1002/erv.2652 · Cited by 27
Fiocchi, S., Chiaramello, E., Luzi, L., Ferrulli, A., Bonato, M., Roth, Y., Zangen, A., Ravazzani, P., & Parazzini, M. (2018) · IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology · doi:10.1109/jerm.2018.2874528 · Cited by 27
Clarke, R., Voigt, K., Reichenbach, A., Stark, R., Bharania, U., Dempsey, H., Lockie, S. H., Méquinion, M., Lemus, M. B., Wei, B., et al. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.08.022 · Cited by 27
Effects of Anxiety on Caloric Intake and Satiety-Related Brain Activation in Women and Men
Mestre, Z., Melhorn, S. J., Askren, M. K., Tyagi, V., Gatenby, C., Young, L., Mehta, S. H., Webb, M. F., Grabowski, T. J., & Schur, E. A. (2016) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000299 · Cited by 28
Comparison of Food Cue–Evoked and Resting-State Functional Connectivity in Obesity
Donofry, S. D., Jakicic, J. M., Rogers, R. J., Watt, J. C., Roecklein, K. A., & Erickson, K. I. (2019) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000769 · Cited by 26
Biehl, S. C., Keil, J., Naumann, E., & Svaldi, J. (2020) · Journal of Eating Disorders · doi:10.1186/s40337-020-00290-8 · Cited by 26
Metadata
- Authors
- Stoeckel, L. E., Weller, R. E., Cook, E. W., Twieg, D. B., Knowlton, R. C., & Cox, J. E.
- Affiliations
- University of Alabama at Birmingham (US)
- Corresponding author
- Stoeckel, Luke E.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2008-06
- Volume
- 41
- Issue
- 2
- Pages
- 636-647
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2074382500
- Cited by
- 857
- References
- 122
- Citations by year
- 2026: 11 · 2025: 19 · 2024: 18 · 2023: 33 · 2022: 47 · 2021: 49 · 2020: 57 · 2019: 47 · 2018: 81 · 2017: 53 · 2016: 59 · 2015: 64 · 2014: 59 · 2013: 57 · 2012: 79
- FWCI
- 45.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Procter and Gamble
- University of Alabama at Birmingham
- Deutsches Krebsforschungszentrum
- National Center for Research Resources (M01RR00032, M01RR000032)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- obesity, food reward, high-calorie foods, food cue reactivity, reward systems, orbitofrontal cortex, amygdala, nucleus accumbens, ventral striatum, medial prefrontal cortex, anterior cingulate cortex, insula, caudate nucleus, putamen, hippocampus, women
- MeSH terms
- Adult, Brain, Brain Mapping, Cues, Female, Food, Food Preferences, Humans, Magnetic Resonance Imaging, Obesity, Photic Stimulation, Reward
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