The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
Appetitive and Aversive Goal Values Are Encoded in the Medial Orbitofrontal Cortex at the Time of Decision Making
Open accessAbstract
An essential feature of choice is the assignment of goal values (GVs) to the different options under consideration at the time of decision making. This computation is done when choosing among appetitive and aversive items. Several groups have studied the location of GV computations for appetitive stimuli, but the problem of valuation in aversive contexts at the time of decision making has been ignored. Thus, although dissociations between appetitive and aversive components of value signals have been shown in other domains such as anticipatory and outcome values, it is not known whether appetitive and aversive GVs are computed in similar brain regions or in separate ones. We investigated this question using two different functional magnetic resonance imaging studies while human subjects placed real bids in an economic auction for the right to eat/avoid eating liked/disliked foods. We found that activity in a common area of the medial orbitofrontal cortex and the dorsolateral prefrontal cortex correlated with both appetitive and aversive GVs. These findings suggest that these regions might form part of a common network.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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
“It is also consistent with the strong projections between the VS and the medial orbitofrontal cortex (mOFC), an area well known for its involvement in utility estimation [53,54].”
From Contributions of the striatum to learning, motivation, and performance: an associative account (2012) · cites this paper as [54]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Prospect theory: An analysis of decision under risk
Kahneman, D. J., & Tversky, A. (1988) · Cambridge University Press eBooks · doi:10.1017/cbo9780511609220.014 · Cited by 32,720
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
Predictive reward signal of dopamine neurons
Schultz, W. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.1.1 · Cited by 4,564
The neural basis of economic decision-making in the Ultimatum Game.
Sanfey, A. G., Rilling, J. K., Aronson, J. A., Nystrom, L. E., & Cohen, J. D. (2003) · Science · doi:10.1126/science.1082976 · Cited by 3,375
Measuring utility by a single-response sequential method
Becker, G. M., DeGroot, M. H., & Marschak, J. (1964) · Systems Research and Behavioral Science · doi:10.1002/bs.3830090304 · Cited by 2,720
Daw, N. D., Niv, Y., & Dayan, P. (2005) · Nature Neuroscience · doi:10.1038/nn1560 · Cited by 2,533
Both of Us Disgusted in My Insula
Wicker, B., Keysers, C., Plailly, J., Royet, J.-P., Gallese, V., & Rizzolatti, G. (2003) · Neuron · doi:10.1016/s0896-6273(03)00679-2 · Cited by 2,185
A framework for studying the neurobiology of value-based decision making
Rangel, A., Camerer, C., & Montague, P. R. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2357 · Cited by 2,184
Self-citationThe prefontral cortex and cognitive control
Miller, E. K. (2000) · Nature Reviews Neuroscience · doi:10.1038/35036228 · Cited by 2,016
Research works printed but not linked: 1
- 10.1097/00001756-200307180-00005 · DOI
Cited by
Sorted by citations
Items 201–300 of 355
Comparing two neurocognitive models of self-control during dietary decisions
Cosme, D., Ludwig, R. M., & Berkman, E. T. (2019) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsz068 · Cited by 18
Representation of Anticipated Rewards and Punishments in the Human Brain
Ben‐Zion, Z., & Levy, I. (2024) · Annual Review of Psychology · doi:10.1146/annurev-psych-022324-042614 · Cited by 21
Dorsolateral prefrontal cortex plays causal role in probability weighting during risky choice
Panidi, K., Vorobiova, A. N., Feurra, M., & Klucharev, V. A. (2022) · Scientific Reports · doi:10.1038/s41598-022-18529-6 · Cited by 18
Newton‐Fenner, A., Hewitt, D., Henderson, J. R., Roberts, H., Mari, T., Gu, Y., Gorelkina, O., Giesbrecht, T., Fallon, N. B., Roberts, C. A., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0286969 · Cited by 19
Chattaraman, V., Deshpande, G., Kim, H., & Sreenivasan, K. R. (2016) · Journal of Consumer Behaviour · doi:10.1002/cb.1575 · Cited by 17
Central Regulation of Eating Behaviors in Humans: Evidence from Functional Neuroimaging Studies
Chae, Y., & Lee, I. (2023) · Nutrients · doi:10.3390/nu15133010 · Cited by 19
Neurofunctional Correlates of Ethical, Food-Related Decision-Making
Cherry, J. B. C., Bruce, J. M., Lusk, J. L., Crespi, J. M., Lim, S.-L., & Bruce, A. S. (2015) · PLoS ONE · doi:10.1371/journal.pone.0120541 · Cited by 17
McFadden, B. R., Lusk, J. L., Crespi, J. M., Cherry, J. B. C., Martin, L. E., Aupperle, R. L., & Bruce, A. S. (2015) · PLoS ONE · doi:10.1371/journal.pone.0125243 · Cited by 16
Tracking Economic Value of Products in Natural Settings: A Wireless EEG Study
Roberts, H., Soto, V., Tyson‐Carr, J., Kokmotou, K., Cook, S., Fallon, N. B., Giesbrecht, T., & Stančák, A. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00910 · Cited by 18
Mudrik, L., Levy, D. J., Gavenas, J., & Maoz, U. (2019) · Psychology of Consciousness Theory Research and Practice · doi:10.1037/cns0000200 · Cited by 16
Neural underpinnings of morality judgment and moral aesthetic judgment
Cheng, Q., Wen, X., Ye, G., Liu, Y., Kong, Y., & Mo, L. (2021) · Scientific Reports · doi:10.1038/s41598-021-97782-7 · Cited by 19
Incentivized and non-incentivized liking ratings outperform willingness-to-pay in predicting choice
Hascher, J., Desai, N., & Krajbich, I. M. (2021) · Judgment and Decision Making · doi:10.1017/s1930297500008500 · Cited by 15
Ushio, K., Nakanishi, K., Mikami, Y., Yoshino, A., Takamura, M., Hirata, K., Akiyama, Y., Kimura, H., Okamoto, Y., & Adachi, N. (2020) · PubMed Central · doi:10.2147/jpr.s268529 · Cited by 14
More complex than you might think: Neural representations of food reward value in obesity
Pimpini, L., Kochs, S., Franssen, S., van den Hurk, J., Valente, G., Roebroeck, A. F., Jansen, A. T. M., & Roefs, A. (2022) · Appetite · doi:10.1016/j.appet.2022.106164 · Cited by 16
Engaging and Exploring: Cortical Circuits for Adaptive Foraging Decisions
Barack, D. L., & Platt, M. L. (2017) · Nebraska Symposium on Motivation/The Nebraska symposium on motivation · doi:10.1007/978-3-319-51721-6_6 · Cited by 14
Apport des « neurosciences de la décision » à l’étude des comportements alimentaires et de l’obésité
Petit, O., Bassó, F., Huguet, P., Plaßmann, H., & Oullier, O. (2011) · médecine/sciences · doi:10.1051/medsci/201127111000 · Cited by 17
Kot, E., Kucharska, K., Monteleone, A. M., & Monteleone, P. (2019) · European Eating Disorders Review · doi:10.1002/erv.2713 · Cited by 13
The Neural Basis of Motivational Influences on Cognitive ControlPreprint
Parro, C., Dixon, M. L., & Kalina Christoff, A. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/113126 · Cited by 15
Audrin, C., Ceravolo, L., Chanal, J. P., Brosch, T., & Sander, D. (2017) · Scientific Reports · doi:10.1038/s41598-017-16544-6 · Cited by 25
The Context of Values in Pain Control: Understanding the Price Effect in Placebo Analgesia
Lee, Y., Jung, W.-M., Bingel, U., & Chae, Y. (2019) · Journal of Pain · doi:10.1016/j.jpain.2019.11.005 · Cited by 12
Ito, A., Abe, N., Kawachi, Y., Kawasaki, I., Ueno, A., Yoshida, K., Sakai, S., Matsue, Y., & Fujii, T. (2015) · Human Brain Mapping · doi:10.1002/hbm.22813 · Cited by 12
Neuroeconomics, health psychology, and the interdisciplinary study of preventative health behavior
DeStasio, K. L., Clithero, J. A., & Berkman, E. T. (2019) · Social and Personality Psychology Compass · doi:10.1111/spc3.12500 · Cited by 13
Oberlin, B. G., Shen, Y. I., & Kareken, D. A. (2019) · Neurotherapeutics · doi:10.1007/s13311-019-00817-1 · Cited by 14
Neural Activations Associated with Decision‐time and Choice in a Milk Labeling Experiment
Crespi, J. M., Lusk, J. L., Cherry, J. B. C., Martin, L. E., McFadden, B. R., & Bruce, A. S. (2015) · American Journal of Agricultural Economics · doi:10.1093/ajae/aav049 · Cited by 13
Chu, S., Hutcherson, C. A. C., Ito, R., & Lee, A. C. H. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad080 · Cited by 11
Dimensional emotions are represented by distinct topographical brain networks
Lee, Y., Seo, Y., Lee, Y.-J., & Lee, D. (2023) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2023.100408 · Cited by 10
Pairing Neutral Cues with Alcohol Intoxication: New Findings in Executive and Attention Networks
Oberlin, B. G., Dzemidzic, M., Eiler, W. J. A. I., Carron, C. R., Soeurt, C. M., Plawecki, M., Grahame, N., O'Connor, S., & Kareken, D. (2018) · Psychopharmacology · doi:10.1007/s00213-018-4968-7 · Cited by 11
Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions
Romero, C. A., & Snow, J. C. (2019) · Journal of Visualized Experiments · doi:10.3791/59762 · Cited by 11
Neural activity in human ventromedial prefrontal cortex reflecting the intention to save reward
Zangemeister, L., Fabian Grabenhorst, B., & Schultz, W. (2019) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa013 · Cited by 10
From affective to cognitive processing: Functional organization of the medial frontal cortex
Simon, J., Rudebeck, P. H., & Rich, E. L. (2021) · International review of neurobiology · doi:10.1016/bs.irn.2020.11.011 · Cited by 14
Neural interactions in the human frontal cortex dissociate reward and punishment learning
Combrisson, E., Basanisi, R., Gueguen, M. C. M., Rheims, S., Kahane, P., Bastin, J., & Brovelli, A. (2023) · eLife · doi:10.7554/elife.92938 · Cited by 24
Strengths of social ties modulate brain computations for third-party punishment
Tang, Z., Qu, C., Hu, Y., Bénistant, J., Moisan, F., Derrington, E. A., & Dreher, J. (2023) · Scientific Reports · doi:10.1038/s41598-023-37286-8 · Cited by 11
Plaisir épicurien, plaisir viscéral et préférence de tailles de portions alimentaires
Cornil, Y., Chandon, P., & Touati, N. (2018) · Cahiers de Nutrition et de Diététique · doi:10.1016/j.cnd.2018.01.005 · Cited by 11
Neuroadaptive processes associated with palatable food intake: present data and future directions
Gilbert, J. R., & Burger, K. S. (2016) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2016.02.033 · Cited by 9
Vázquez, D., Schneider, K. N., & Roesch, M. R. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.926388 · Cited by 11
Journey of neuroscience: marketing management to organizational behavior
Chattopadhyay, R. (2020) · Management Research Review · doi:10.1108/mrr-09-2019-0387 · Cited by 10
Role of the prefrontal cortex in prosocial and self-maximization motivations: an rTMS study
Zinchenko, O. O., Savelo, O., & Klucharev, V. A. (2021) · Scientific Reports · doi:10.1038/s41598-021-01588-6 · Cited by 9
Neural correlates of changing food choices while bypassing values
Zahedi, A., Artigas, S. O., Swaboda, N., Wiers, C. E., Görgen, K., & Park, S. Q. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120134 · Cited by 9
Mackey, S., Olafsson, V. T., Aupperle, R. L., Lu, K., Fonzo, G. A., Parnass, J. M., Liu, T. T., & Paulus, M. P. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9435-z · Cited by 9
Why do people overeat? Hunger, psychological eating and type 2 diabetes
Wheatley, S. D., & Whitaker, M. J. (2019) · Practical Diabetes · doi:10.1002/pdi.2232 · Cited by 7
Tyson‐Carr, J., Soto, V., Kokmotou, K., Roberts, H., Fallon, N. B., Byrne, A., Giesbrecht, T., & Stančák, A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116213 · Cited by 10
Peters, S. L., & Sheldon, S. (2020) · Behavioural Brain Research · doi:10.1016/j.bbr.2020.112911 · Cited by 7
Li, W., Yang, W., Li, W., Li, Y., Wei, D., Li, H., Qiu, J., & Zhang, Q. (2015) · Creativity Research Journal · doi:10.1080/10400419.2015.1030311 · Cited by 8
Scalzo, F., O’Connor, D. A., Orr, C., Murphy, K., & Hester, R. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00429 · Cited by 8
Asgher, U., Ahmad, R., Ayaz, Y., Naseer, N., Ali, L., Ruíz, J. A., & Kole, M. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-60747-4_23 · Cited by 8
Risky economic choices and frontal EEG asymmetry in the context of Reinforcer-Sensitivity-Theory-5
Rollwage, M., Comteße, H., & Stemmler, G. (2017) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-017-0527-7 · Cited by 8
Davidenko, O., Bonny, J.-M., Morrot, G., Jean, B., Claise, B., Benmoussa, A., Fromentin, G., Tomé, D., Nadkarni, N. A., & Darcel, N. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.058 · Cited by 7
Koscik, T. R., & Tranel, D. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00398 · Cited by 7
Frömer, R., & Shenhav, A. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/609198 · Cited by 6
Model-based prioritization for acquiring protection
Tashjian, S. M., Wise, T., & Mobbs, D. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010805 · Cited by 5
Functional Neuroimaging in Empirical Aesthetics and Neuroaesthetics
Ishizu, T. (2019) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198824350.013.14 · Cited by 6
Perkins, A. Q., & Rich, E. L. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.04.019 · Cited by 7
Prefrontal mechanisms in preference and non-preference-based judgments
Foo, J. C., Haji, T., & Sakai, K. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.046 · Cited by 7
Possibility for Predicting the Evaluation of Product Price in the Prefrontal Cortex : A NIRS Study
Misawa, T., Shimokawa, T., & Hirobayashi, S. (2014) · Cited by 6
The Brain’s Got a Taste for Good Food
Horstmann, A. (2015) · Oxford University Press eBooks · doi:10.1093/med/9780199330454.003.0003 · Cited by 6
Why we stay with our social partners: Neural mechanisms of stay/leave decision-making
Heijne, A., Rossi, F., & Sanfey, A. G. (2017) · Social Neuroscience · doi:10.1080/17470919.2017.1370010 · Cited by 7
Measurement of Risk Taking From Developmental, Economic, and Neuroscience Perspectives
Römer, D., & Khurana, A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-819641-0.00025-6 · Cited by 7
Common neural choice signals can emerge artifactually amidst multiple distinct value signalsPreprint
Frömer, R., Nassar, M. R., Ehinger, B., & Shenhav, A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.08.02.502393 · Cited by 6
Food Avoidance and Aversive Goal Value Computation in Anorexia Nervosa
Weider, S., Shott, M. E., Nguyen, T., Swindle, S., Pryor, T. L., Sternheim, L. C., & Frank, G. (2024) · Nutrients · doi:10.3390/nu16183115 · Cited by 5
Miao, Q., Zhang, G., Yan, W., & Liu, B. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.07.030 · Cited by 5
Li, W., Wang, M., Wu, G., Wang, J., Li, X., Yang, Z., Chen, Q., Yang, Z., Li, Z., Zhang, P., et al. (2023) · Brain and Behavior · doi:10.1002/brb3.2930 · Cited by 5
Wang, Y., & Yao, X. (2024) · Physiology & Behavior · doi:10.1016/j.physbeh.2024.114481 · Cited by 4
Skałbania, J., Tanajewski, Ł., Furtak, M., Hare, T. A., & Wypych, M. (2024) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-024-01231-7 · Cited by 4
The Mechanisms of Formation of Demand in the High-Tech Products Market
Derunova, E. A., Semenov, A., Сергеевна, Б. О., & Firsova, А. (2016) · International Journal of Economics and Financial Issues · Cited by 4
Javor, A., Kindermann, H., Koschutnig, K., & Ischebeck, A. K. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.14134 · Cited by 5
Value computation and modulation: A neuroeconomic theory of self-control as constrained optimization
Brocas, I., & Carrillo, J. D. (2021) · Journal of Economic Theory · doi:10.1016/j.jet.2021.105366 · Cited by 4
Impact of Exercise on Brain Responses to Visual Food Cues: An fMRI Study
Evero, N. (2011) · doi:10.15368/theses.2011.137 · Cited by 4
Ushio, K., Nakanishi, K., Yoshino, A., Takamura, M., Akiyama, Y., Shimada, N., Hirata, K., Ishikawa, M., Nakamae, A., Mikami, Y., et al. (2024) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2024.111073 · Cited by 3
Mapping reward mechanisms by intracerebral self-stimulation in the rhesus monkey (Macaca mulatta)
Bowden, D., & German, D. (2021) · The Journal of comparative neurology · doi:10.1002/cne.25188 · Cited by 3
Nissen, A., & Ersöz, S. (2021) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-88900-5_2 · Cited by 3
Inversion produces opposite size illusions for faces and food
Millbank, H., Walsh, E., & Longo, M. R. (2025) · Perception · doi:10.1177/03010066251316456 · Cited by 3
Roberts, H., Tyson‐Carr, J., Giesbrecht, T., & Stančák, A. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-821413-8.00015-4 · Cited by 3
Ventral Striatopallidal Pathways Involved in Appetitive and Aversive Motivational Processes
Saga, Y., & Tremblay, L. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-805308-9.00004-x · Cited by 5
Finding the 'Self' in Self-Regulation: The Identity-Value ModelPreprint
Berkman, E. T., Livingston, J., & Kahn, L. E. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2621251 · Cited by 3
Wang, Y., Tang, L., Li, W., Wang, M., Chen, Q., Yu, F., Yang, Z., Li, Z., Wang, Z., Wang, J., et al. (2025) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2025.100557 · Cited by 2
Panagopoulos, V. N., Bailey, A., Kostopoulos, G., & Ioannides, A. A. (2024) · Psychopharmacology · doi:10.1007/s00213-024-06556-2 · Cited by 3
Deconstructing the Construction of Value in Anorexia Nervosa
Lloyd, E. C., STEINGLASS, J. E., & Foerde, K. (2024) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2024.2647 · Cited by 2
Positive serial dependence in ratings of food images for appeal and calories
Alais, D., Burr, D. C., & Carlson, T. A. (2024) · Current Biology · doi:10.1016/j.cub.2024.09.012 · Cited by 2
Skałbania, J., Tanajewski, Ł., Furtak, M., Rynkiewicz, A., & Wypych, M. (2025) · Neuroscience · doi:10.1016/j.neuroscience.2025.02.001 · Cited by 2
Lawn, W., Hao, X., Konova, A. B., Haney, M., Cooper, Z. D., Dam, N. T. V., Glimcher, P. W., & Bedi, G. (2025) · Psychopharmacology · doi:10.1007/s00213-025-06746-6 · Cited by 2
Li, W., Wang, X., Wang, Y., Wang, J., Huang, X., Grzegorzek, M., Chen, Q., Wang, Z., Zhang, P., & Tang, L. (2025) · Brain and Behavior · doi:10.1002/brb3.70859 · Cited by 1
Enjoying Art: The Experience of Beauty from Understanding Regularities
Serrao, F. (2019) · Art & Perception · doi:10.1163/22134913-20191106 · Cited by 2
Schmidt, L., Medarwar, E., Aron‐Wisnewsky, J., Genser, L., Poitou, C., Clément, K., & Plaßmann, H. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.27.921098 · Cited by 2
Gong, X., Sanfey, A. G., Zhou, X., & Luo, Y. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/b37vx · Cited by 2
Neural interactions in the human frontal cortex dissociate reward and punishment learningPreprint
Combrisson, E., Basanisi, R., Gueguen, M. C. M., Rheims, S., Kahane, P., Bastin, J., & Brovelli, A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.02.539138 · Cited by 2
Neural interactions in the human frontal cortex dissociate reward and punishment learningPreprint
Combrisson, E., Basanisi, R., Gueguen, M. C. M., Rheims, S., Kahane, P., Bastin, J., & Brovelli, A. (2023) · eLife · doi:10.7554/elife.92938.1 · Cited by 2
High delay discounting relates to core symptoms and to pulvinar atrophy in frontotemporal dementiaPreprint
Godefroy, V., Durand, A., Lévy, R., Batrancourt, B., Schmidt, L., Koban, L., & Plassmann, H. (2024) · bioRxiv · doi:10.1101/2024.05.16.594526 · Cited by 2
Neuromarketing for Healthy Eating and Disease Prevention
Anthuvan, T., Salis, S. S., & Maheshwari, K. M. (2024) · Advances in medical diagnosis, treatment, and care (AMDTC) book series · doi:10.4018/979-8-3693-3230-6.ch011 · Cited by 1
Li, Y., Li, S., Li, Y., Pang, X., Yi, C., Jiang, L., Yao, D., Wu, W., Li, F., & Xu, P. (2026) · Communications Biology · doi:10.1038/s42003-026-09854-x · Cited by 1
Gustatory cortical lesions affect motivation for snack foods
Knutson, K. M., Krüeger, F., Monte, O. D., Raymont, V., Snyder, A. D., Kirsch, H. E., Wassermann, E. M., & Grafman, J. H. (2012) · Cognitive Neuroscience · doi:10.1080/17588928.2012.688018 · Cited by 1
Neuronale Korrelate von nutzenbasierten Entscheidungen
Plaßmann, H. (2010) · Gabler eBooks · doi:10.1007/978-3-8349-6373-4_8 · Cited by 1
Multidimensional decision making
Mills‐Finnerty, C. (2015) · doi:10.7282/t3b27x9r · Cited by 1
A calculus of probability or belief? Neural underpinnings of social decision-making in a card game
Chen, Y., Youk, S., Wang, P. T., Pinti, P., & Weber, R. (2023) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2023.108635 · Cited by 1
The “(a)moral brain”: When things go wrong
Seara‐Cardoso, A. (2023) · Handbook of clinical neurology · doi:10.1016/b978-0-12-821375-9.00008-6 · Cited by 2
Perceived Food Value Depends on Display Format, Preference Strength and Physical Accessibility
Snow, J. C., Yang, Y., & Romero, C. A. (2024) · Appetite · doi:10.1016/j.appet.2025.107973 · Cited by 1
EFFECTS OF LOSS AVERSION ON THE EVALUATION OF DECISION OUTCOMES
Kokmotou, A. (2019) · University of Liverpool · doi:10.17638/03046759 · Cited by 1
Implicit markers of food choice
van der Laan, L. N. (2013) · Utrecht University Repository (Utrecht University) · Cited by 1
Chen, K., Anderson, S. W., Schultz, S. K., Shim, H., Chapleau, M. W., Aksan, N. S., Narayanan, N. S., & Rizzo, M. (2015) · doi:10.17077/etd.ajahf6p4 · Cited by 1
Neural processing of healthy foods in normal-weight and overweight children and adults
van Meer, A.-F. (2017) · Utrecht University Repository (Utrecht University) · Cited by 1
Clairis, N., & Pessiglione, M. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.09.17.301291 · Cited by 3
Metadata
- Authors
- Plassmann, H., O'Doherty, J. P., & Rangel, A.
- Affiliations
- INSEAD (FR)
- California Institute of Technology (US)
- Corresponding author
- Rangel, Antonio
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2010-08-11
- Volume
- 30
- Issue
- 32
- Pages
- 10799-10808
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6634706
- OpenAlex
- W2150409513
- Cited by
- 356
- References
- 66
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 16 · 2023: 15 · 2022: 9 · 2021: 21 · 2020: 20 · 2019: 25 · 2018: 23 · 2017: 26 · 2016: 30 · 2015: 30 · 2014: 34 · 2013: 39 · 2012: 24
- FWCI
- 17.21
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Funders
- National Science Foundation (0134618)
- Gordon and Betty Moore Foundation
- California Institute of Technology
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- goal value, medial orbitofrontal cortex, dorsolateral prefrontal cortex, decision-making, value coding, food choice
- MeSH terms
- Adolescent, Adult, Appetite, Brain Mapping, Decision Making, Female, Goals, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Oxygen, Reward, Time Factors, Linear Models, Prefrontal Cortex, Young Adult
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