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
Uncertainty and anticipation in anxiety: an integrated neurobiological and psychological perspective
Grupe, D. W., & Nitschke, J. B. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3524 · Cited by 2,007
Bartra, O., McGuire, J. T., & Kable, J. W. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.063 · Cited by 1,927
Frontal cortex and reward-guided learning and decision-making
Rushworth, M. F. S., Noonan, M. P., Boorman, E. D., Walton, M. E., & Behrens, T. E. (2011) · Neuron · doi:10.1016/j.neuron.2011.05.014 · Cited by 1,111
Informatic parcellation of the network involved in the computation of subjective value
Clithero, J. A., & Rangel, A. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst106 · Cited by 706
Self-citationNeurophysiology of performance monitoring and adaptive behavior
Ullsperger, M., Danielmeier, C., & Jocham, G. (2014) · Physiological Reviews · doi:10.1152/physrev.00041.2012 · Cited by 634
Branding the brain: A critical review and outlook
Plaßmann, H., Ramsøy, T. Z., & Milosavljevic, M. (2012) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2011.11.010 · Cited by 687
Hare, T. A., Malmaud, J., & Rangel, A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.6383-10.2011 · Cited by 556
Self-citationNeural computations associated with goal-directed choice
Rangel, A., & Hare, T. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.03.001 · Cited by 532
Self-citationLearning, reward, and decision making
O'Doherty, J. P., Cockburn, J., & Pauli, W. M. (2017) · Annual Review of Psychology · doi:10.1146/annurev-psych-010416-044216 · Cited by 475
Self-citationCross-species studies of orbitofrontal cortex and value-based decision-making
Wallis, J. D. (2011) · Nature Neuroscience · doi:10.1038/nn.2956 · Cited by 384
Social and monetary reward learning engage overlapping neural substrates
Lin, A., Adolphs, R., & Rangel, A. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsr006 · Cited by 351
Self-citationLevy, D. J., & Glimcher, P. W. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2218-11.2011 · Cited by 371
Lim, S.-L., O'Doherty, J. P., & Rangel, A. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.1246-11.2011 · Cited by 329
Self-citationNegative Symptoms and the Failure to Represent the Expected Reward Value of Actions
Gold, J. M. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.1269 · Cited by 319
Contributions of the striatum to learning, motivation, and performance: an associative account
Liljeholm, M., & O’Doherty, J. P. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.07.007 · Cited by 317
Self-citationValuation and decision-making in frontal cortex: one or many serial or parallel systems?
Rushworth, M. F., Kolling, N., Sallet, J., & Mars, R. B. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.04.011 · Cited by 309
Neuroeconomic Foundations of Economic Choice—Recent Advances
Fehr, E., & Rangel, A. (2011) · The Journal of Economic Perspectives · doi:10.1257/jep.25.4.3 · Cited by 283
Self-citationSerotonin Selectively Modulates Reward Value in Human Decision-Making
Seymour, B., Daw, N. D., Roiser, J. P., Dayan, P., & Dolan, R. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.0053-12.2012 · Cited by 252
Frank, G. K., Shott, M. E., Hagman, J. O., & Mittal, V. A. (2013) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2013.12101294 · Cited by 237
Using Neural Data to Test a Theory of Investor Behavior: An Application to Realization Utility
Frydman, C., Barberis, N., Camerer, C. F., Bossaerts, P. L., & Rangel, A. (2013) · The Journal of Finance · doi:10.1111/jofi.12126 · Cited by 249
Self-citationRegulation of dietary choice by the decision-making circuitry
Rangel, A. (2013) · Nature Neuroscience · doi:10.1038/nn.3561 · Cited by 263
Self-citationJalbrzikowski, M., Larsen, B., Hallquist, M. N., Foran, W., Calabro, F. J., & Luna, B. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.01.008 · Cited by 243
Does the orbitofrontal cortex signal value?
Schoenbaum, G., Takahashi, Y., Liu, T., & McDannald, M. A. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.06210.x · Cited by 232
Hutcherson, C. A., Plassmann, H., Gross, J. J., & Rangel, A. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.6387-11.2012 · Cited by 227
Self-citationContributions of the ventromedial prefrontal cortex to goal-directed action selection
O’Doherty, J. P. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.06290.x · Cited by 225
Self-citationActivity in dlPFC and its effective connectivity to vmPFC are associated with temporal discounting
Hare, T. A., Hakimi, S., & Rangel, A. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00050 · Cited by 211
Self-citationConsumer neuroscience for marketing researchers
Harris, J. M., Ciorciari, J., & Gountas, J. (2018) · Journal of Consumer Behaviour · doi:10.1002/cb.1710 · Cited by 213
The Functional and Structural Neural Basis of Individual Differences in Loss Aversion
Canessa, N., Crespi, C., Motterlini, M., Baud‐Bovy, G., Chierchia, G., Pantaleo, G., Tettamanti, M., & Cappa, S. F. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0497-13.2013 · Cited by 217
Processed foods and food reward
Small, D. M., & DiFeliceantonio, A. G. (2019) · Science · doi:10.1126/science.aav0556 · Cited by 195
Pain, decisions, and actions: a motivational perspective
Wiech, K., & Tracey, I. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00046 · Cited by 188
Neuromarketing empirical approaches and food choice: A systematic review
Stasi, A., Songa, G., Mauri, M., Ciceri, A., Diotallevi, F., Nardone, G., & Russo, V. (2017) · Food Research International · doi:10.1016/j.foodres.2017.11.049 · Cited by 216
The brain's specialized systems for aesthetic and perceptual judgment
Ishizu, T., & Zeki, S. (2013) · European Journal of Neuroscience · doi:10.1111/ejn.12135 · Cited by 180
Real and Fictive Outcomes Are Processed Differently but Converge on a Common Adaptive Mechanism
Fischer, A. G., & Ullsperger, M. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.006 · Cited by 187
Carruthers, P. (2018) · Philosophy and Phenomenological Research · doi:10.1111/phpr.12395 · Cited by 177
Skvortsova, V., Palminteri, S., & Pessiglione, M. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1350-14.2014 · Cited by 177
Fox, C. R., & Poldrack, R. A. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374176-9.00011-7 · Cited by 176
Hypothetical and Real Choice Differentially Activate Common Valuation Areas
Kang, M. J., Rangel, A., Camus, M., & Camerer, C. F. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1583-10.2011 · Cited by 171
Self-citationRe-evaluating the role of the orbitofrontal cortex in reward and reinforcement
Noonan, M. P., Kolling, N., Walton, M. E., & Rushworth, M. F. S. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.08023.x · Cited by 169
Finding The “Self” in Self-Regulation: The Identity-Value Model
Berkman, E. T., Livingston, J., & Kahn, L. E. (2017) · Psychological Inquiry · doi:10.1080/1047840x.2017.1323463 · Cited by 181
Sonuga-Barke, E. J. S., Cortese, S., Fairchild, G. F., & Stringaris, A. K. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12496 · 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
Padoa‐Schioppa, C., & Cai, X. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.06262.x · Cited by 162
Disentangling neural representations of value and salience in the human brain
Kahnt, T., Park, S. Q., Haynes, J., & Tobler, P. N. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1320189111 · Cited by 167
The lateral prefrontal cortex and complex value-based learning and decision making
Dixon, M. L., & Kalina Christoff, A. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.04.011 · Cited by 167
Obesity-Related Differences between Women and Men in Brain Structure and Goal-Directed Behavior
Horstmann, A., Busse, F. P., Mathar, D., Müller, K., Lepsien, J., Schlögl, H., Kabisch, S., Kratzsch, J., Neumann, J., Stümvoll, M., et al. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00058 · Cited by 170
Brain structure links trait creativity to openness to experience
Li, W., Li, X., Huang, L., Kong, X., Yang, W., Wei, D., Li, J., Cheng, H., Zhang, Q., Qiu, J., et al. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu041 · Cited by 170
Dopamine and performance in a reinforcement learning task: evidence from Parkinson’s disease
Shiner, T., Seymour, B., Wunderlich, K., Hill, C. S., Bhatia, K. P., Dayan, P., & Dolan, R. J. (2012) · Brain · doi:10.1093/brain/aws083 · Cited by 157
Cornil, Y., & Chandon, P. (2015) · Appetite · doi:10.1016/j.appet.2015.08.045 · Cited by 147
Explicit representation of confidence informs future value-based decisions
Folke, T., Jacobsen, C., Fleming, S. M., & Martino, B. D. (2016) · Nature Human Behaviour · doi:10.1038/s41562-016-0002 · Cited by 175
Advances from neuroimaging studies in eating disorders
Frank, G. K. W. (2015) · CNS Spectrums · doi:10.1017/s1092852915000012 · Cited by 144
Value normalization in decision making: theory and evidence
Rangel, A., & Clithero, J. A. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.07.011 · Cited by 165
Self-citationNeural Evidence of Regret and Its Implications for Investor Behavior
Frydman, C., & Camerer, C. F. (2016) · Review of Financial Studies · doi:10.1093/rfs/hhw010 · Cited by 144
Distinct cortical–amygdala projections drive reward value encoding and retrieval
Malvaez, M., Shieh, C., Murphy, M. D., Greenfield, V. Y., & Wassum, K. M. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0374-7 · Cited by 130
Harris, A. M., Hare, T. A., & Rangel, A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5816-12.2013 · Cited by 145
Self-citationDecision neuroscience and consumer decision making
Yoon, C., Gonzalez, R., Bechara, A., Berns, G. S., Dagher, A., Dubé, L., Huettel, S. A., Kable, J. W., Liberzon, I., Plaßmann, H., et al. (2012) · Marketing Letters · doi:10.1007/s11002-012-9188-z · Cited by 135
Klein-Flügge, M. C., Barron, H. C., Brodersen, K. H., Dolan, R. J., & Behrens, T. E. J. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2532-12.2013 · Cited by 133
Consumer Neuroscience: Past, Present, and Future
Karmarkar, U. R., & Plaßmann, H. (2017) · Organizational Research Methods · doi:10.1177/1094428117730598 · Cited by 159
Frontal Brain Asymmetry and Willingness to Pay
Ramsøy, T. Z., Skov, M., Christensen, M. K., & Stahlhut, C. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00138 · Cited by 126
Neurobiology of Value Integration: When Value Impacts Valuation
Park, S. Q., Kahnt, T., Rieskamp, J., & Heekeren, H. R. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4973-10.2011 · Cited by 135
Cost Conscious? The Neural and Behavioral Impact of Price Primacy on Decision Making
Karmarkar, U. R., Shiv, B., & Knutson, B. D. (2014) · Journal of Marketing Research · doi:10.1509/jmr.13.0488 · Cited by 130
Studer, B., Manes, F. F., Humphreys, G. W., Robbins, T. W., & Clark, L. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht197 · Cited by 123
Monosov, I. E., & Hikosaka, O. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1801-12.2012 · Cited by 124
Carnell, S., Benson, L., Pryor, K. P., & Driggin, E. (2013) · Physiology & Behavior · doi:10.1016/j.physbeh.2013.02.015 · Cited by 117
Neural representation of expected value in the adolescent brain
Barkley-Levenson, E., & Galván, A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1319762111 · Cited by 114
Enhanced striatal sensitivity to aversive reinforcement in adolescents versus adults
Galván, A., & McGlennen, K. M. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00326 · Cited by 111
Intrinsic network activity in tinnitus investigated using functional MRI
Leaver, A. M., Turesky, T. K., Seydell‐Greenwald, A., Morgan, S., Kim, H. J., & Rauschecker, J. P. (2016) · Human Brain Mapping · doi:10.1002/hbm.23204 · Cited by 116
Appearance Matters: Neural Correlates of Food Choice and Packaging Aesthetics
van der Laan, L. N., de Ridder, D. T. D., Viergever, M. A., & Smeets, P. A. M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041738 · Cited by 122
Lim, S.-L., O’Doherty, J. P., & Rangel, A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4809-12.2013 · Cited by 114
Self-citationKühn, S., Strelow, E., & Gallinat, J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.021 · Cited by 109
A common currency for the computation of motivational values in the human striatum
Sescousse, G., Li, Y., & Dreher, J. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu074 · Cited by 111
Schmidt, L., Tusche, A., Manoharan, N., Hutcherson, C. A. C., Hare, T. A., & Plaßmann, H. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.3402-17.2018 · Cited by 104
Janowski, V., Camerer, C. F., & Rangel, A. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsr086 · Cited by 109
Self-citationNeural Activity Reveals Preferences without Choices
Smith, A., Bernheim, B. D., Camerer, C. F., & Rangel, A. (2014) · American Economic Journal Microeconomics · doi:10.1257/mic.6.2.1 · Cited by 91
Self-citationGender Differences in Food Choice: Effects of Superior Temporal Sulcus Stimulation
Manippa, V., Padulo, C., van der Laan, L. N., & Brancucci, A. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00597 · Cited by 109
Value Encoding in Single Neurons in the Human Amygdala during Decision Making
Jenison, R. L., Rangel, A., Oya, H., Kawasaki, H., & Howard, M. A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4461-10.2011 · Cited by 107
Self-citationTusche, A., & Hutcherson, C. A. C. (2018) · eLife · doi:10.7554/elife.31185 · Cited by 100
An analysis of process-tracing research on consumer decision-making
Zuschke, N. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.01.028 · Cited by 120
The Computation of Stimulus Values in Simple Choice
Rangel, A., & Clithero, J. A. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-416008-8.00008-5 · Cited by 102
Self-citationAnticipatory Anxiety Disrupts Neural Valuation during Risky Choice
Engelmann, J. B., Meyer, F., Fehr, E., & Ruff, C. C. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2880-14.2015 · Cited by 102
Localized Brain Volume and White Matter Integrity Alterations in Adolescent Anorexia Nervosa
Frank, G., Shott, M. E., Hagman, J., & Yang, T. T. (2013) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2013.07.007 · Cited by 101
Lepage, C., Smith, A., Moreau, J. T., Barlow-Krelina, E., Wallis, N., Collins, B., MacKenzie, J., & Scherling, C. (2014) · SpringerPlus · doi:10.1186/2193-1801-3-444 · Cited by 98
An attentional drift diffusion model over binary-attribute choice
Fisher, G. (2017) · Cognition · doi:10.1016/j.cognition.2017.06.007 · Cited by 100
Beyond valence and magnitude: A flexible evaluative coding system in the brain
Gu, R., Lei, Z., Broster, L. S., Wu, T., Jiang, Y., & Luo, Y. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.10.006 · Cited by 102
Atlas, L. Y., Doll, B. B., Li, J., Daw, N. D., & Phelps, E. A. (2016) · eLife · doi:10.7554/elife.15192 · Cited by 95
Aversive stimuli and loss in the mesocorticolimbic dopamine system
Brooks, A. M., & Berns, G. S. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.04.001 · Cited by 85
Frömer, R., Wolf, C. K. D., & Shenhav, A. (2019) · Nature Communications · doi:10.1038/s41467-019-12931-x · Cited by 94
Decision value computation in DLPFC and VMPFC adjusts to the available decision time
Sokol‐Hessner, P., Hutcherson, C. A. C., Hare, T. A., & Rangel, A. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.08076.x · Cited by 89
Self-citationMind matters: placebo enhances reward learning in Parkinson's disease
Schmidt, L., Braun, E. K., Wager, T. D., & Shohamy, D. (2014) · Nature Neuroscience · doi:10.1038/nn.3842 · Cited by 84
Pessiglione, M., & Delgado, M. R. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2015.08.006 · Cited by 89
Motivational Deficits in Schizophrenia and the Representation of Expected Value
Waltz, J. A., & Gold, J. M. (2015) · Current topics in behavioral neurosciences · doi:10.1007/7854_2015_385 · Cited by 84
Amygdala-cortical collaboration in reward learning and decision making
Wassum, K. M. (2022) · eLife · doi:10.7554/elife.80926 · Cited by 88
Lateral Orbitofrontal Inactivation Dissociates Devaluation-Sensitive Behavior and Economic Choice
Gardner, M., Conroy, J. S., Shaham, M. H., Styer, C. V., & Schoenbaum, G. M. (2017) · Neuron · doi:10.1016/j.neuron.2017.10.026 · Cited by 80
Forced choices reveal a trade-off between cognitive effort and physical pain
Vogel, T. A., Savelson, Z. M., Otto, A. R., & Roy, M. (2020) · eLife · doi:10.7554/elife.59410 · Cited by 86
Sex differences on prefrontally-dependent cognitive tasks
Evans, K., & Hampson, E. (2014) · Brain and Cognition · doi:10.1016/j.bandc.2014.11.006 · Cited by 83
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
The neural basis of motivational influences on cognitive control
Parro, C., Dixon, M. L., & Kalina Christoff, A. (2018) · Human Brain Mapping · doi:10.1002/hbm.24348 · Cited by 76
The Neuro-Computational Architecture of Value-Based Selection in the Human Brain
Domenech, P., Redouté, J., Koechlin, É., & Dreher, J. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw396 · Cited by 78
A neuropsychological approach to understanding risk-taking for potential gains and losses
Levin, I. P., Xue, G., Weller, J. A., Reimann, M., Lauriola, M., & Bechara, A. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00015 · Cited by 73
Brain Regions Related to Impulsivity Mediate the Effects of Early Adversity on Antisocial Behavior
Mackey, S., Chaarani, B., Kan, K., Spechler, P. A., Orr, C., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Bromberg, U., Büchel, C., et al. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.12.027 · Cited by 79
An investigation of the neural correlates of purchase behavior through fNIRS
Çakır, M. P., Çakar, T. E., Girişken, Y., & Yurdakul, D. (2018) · European Journal of Marketing · doi:10.1108/ejm-12-2016-0864 · Cited by 71
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