The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Distributed Neural Representation of Expected Value
Open accessAbstract
Anticipated reward magnitude and probability comprise dual components of expected value (EV), a cornerstone of economic and psychological theory. However, the neural mechanisms that compute EV have not been characterized. Using event-related functional magnetic resonance imaging, we examined neural activation as subjects anticipated monetary gains and losses that varied in magnitude and probability. Group analyses indicated that, although the subcortical nucleus accumbens (NAcc) activated proportional to anticipated gain magnitude, the cortical mesial prefrontal cortex (MPFC) additionally activated according to anticipated gain probability. Individual difference analyses indicated that, although NAcc activation correlated with self-reported positive arousal, MPFC activation correlated with probability estimates. These findings suggest that mesolimbic brain regions support the computation of EV in an ascending and distributed manner: whereas subcortical regions represent an affective component, cortical regions also represent a probabilistic component, and, furthermore, may integrate the two.
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?
The cited source says what the claim attributes to it.
In the citing paper
“and its activity may predict self-reports of positive affect (Knutson, Taylor, Kaufman, Peterson, & Glover, 2005).”
From Gender Differences in Emotion Regulation: An fMRI Study of Cognitive Reappraisal (2008) · cites this paper as Knutson, Taylor, Kaufman, Peterson, & Glover, 2005
In the citing paper
“With monetary rewards, research shows that ventral striatum activity can signal both anticipated reward magnitude and probability 56, 57.”
From The social brain and reward: Social information processing in the human striatum (2014) · cites this paper as [56]
In the citing paper
“Cued anticipation of monetary gains has been consistently found to recruit the VS, including the NAcc, with greater VS activity for more salient incentives (for example, $1 versus $5; [18]).”
From Social “wanting” dysfunction in autism: neurobiological underpinnings and treatment implications (2012) · cites this paper as [18]
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
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
Kahneman, D., & Tversky, A. (1984) · American Psychologist · doi:10.1037/0003-066x.39.4.341 · Cited by 6,544
Loewenstein, G. F., Weber, E. U., Hsee, C. K., & Welch, N. (2001) · Psychological Bulletin · doi:10.1037//0033-2909.127.2.267 · Cited by 6,500
Loewenstein, G. F., Weber, E. U., Hsee, C. K., & Welch, N. (2001) · Psychological Bulletin · doi:10.1037/0033-2909.127.2.267 · Cited by 5,955
Thresholding of statistical maps in functional neuroimaging using the false discovery rate
Genovese, C. R., Lazar, N. A., & Nichols, T. (2002) · NeuroImage · doi:10.1006/nimg.2001.1037 · Cited by 4,923
Affective Neuroscience: The Foundations of Human and Animal Emotions
Panksepp, J. (1998) · doi:10.1093/oso/9780195096736.001.0001 · Cited by 4,428
Emotion, Decision Making and the Orbitofrontal Cortex
Bechara, A. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.3.295 · Cited by 3,589
The role of the medial frontal cortex in cognitive control
Ridderinkhof, K. R., Ullsperger, M., Crone, E. A., & Nieuwenhuis, S. (2004) · Science · doi:10.1126/science.1100301 · Cited by 2,974
Slovic, P., Finucane, M., Peters, E., & MacGregor, D. G. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.025 · Cited by 2,349
Research works printed but not linked: 5
- 10.1037//0003-066X.39.4.341 · DOI · Paper page
- 2001, Psychol Bull, 2, 267
- 2004, Annu Rev Neurosci, 66, 735
- 10.1097/00001756-200307180-00005 · DOI
- 10.1037//0022-3514.76.5.820 · DOI · Paper page
Cited by
Sorted by citations
Items 401–500 of 948
Oswal, A., Vladimir Litvak, A., Brücke, C., Huebl, J., Schneider, G., Kühn, A. A., & Brown, P. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1790-13.2013 · Cited by 48
The Neural Basis of and a Common Neural Circuitry in Different Types of Pro-social Behavior
Luo, J. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00859 · Cited by 50
Common Biological Mechanisms of Alcohol Use Disorder and Post-Traumatic Stress Disorder
Suh, J. (2018) · Alcohol research · doi:10.35946/arcr.v39.2.04 · Cited by 46
Temporal decision-making: insights from cognitive neuroscience
Luhmann, C. C. (2009) · Frontiers in Behavioral Neuroscience · doi:10.3389/neuro.08.039.2009 · Cited by 47
Neurocultural evidence that ideal affect match promotes giving
Park, B., Blevins, E., Knutson, B. D., & Tsai, J. L. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx047 · Cited by 45
Self-citationNeural responses to monetary incentives in bipolar disorder
Johnson, S. L., Mehta, H., Ketter, T. A., Gotlib, I. H., & Knutson, B. D. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.102018 · Cited by 47
Self-citationJones, C. L., Minati, L., Harrison, N. A., Ward, J., & Critchley, H. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020942 · Cited by 45
Valuation for Risky and Uncertain Choices
Tobler, P. N., & Weber, E. U. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-416008-8.00009-7 · Cited by 46
Corticostriatal Circuits Encode the Subjective Value of Perceived Control
Wang, K. S., & Delgado, M. R. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz045 · Cited by 42
Dopamine release in nucleus accumbens during rewarded task switching measured by [¹¹C]raclopride
Jonasson, L. S., Axelsson, J., Riklund, K., Braver, T. S., Ögren, M., Bäckman, L., & Nyberg, L. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.047 · Cited by 42
Amygdala–prefrontal connectivity modulates loss aversion bias in anxious individuals
Xu, P., Dam, N. T. V., van Tol, M., Shen, X., Cui, Z., Gu, R., Qin, S., Aleman, A., Fan, J., & Luo, Y. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116957 · Cited by 44
Tosoni, A., Shulman, G. L., Pope, A. L. W., McAvoy, M. P., & Corbetta, M. (2012) · Cortex · doi:10.1016/j.cortex.2012.03.022 · Cited by 42
Bednarski, S. R., Erdman, E., Luo, X., Zhang, S., Hu, S., & Li, C.-S. R. (2012) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2011.01672.x · Cited by 42
Altered prefrontal correlates of monetary anticipation and outcome in chronic pain
Martucci, K. T., Borg, N., MacNiven, K. H., Knutson, B. D., & Mackey, S. (2018) · Pain · doi:10.1097/j.pain.0000000000001232 · Cited by 46
Self-citationBhanji, J. P., Beer, J. S., & Bunge, S. A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.030 · Cited by 42
A mesocorticolimbic signature of pleasure in the human brain
Kragel, P. A., Treadway, M. T., Admon, R., Pizzagalli, D. A., & Hahn, E. C. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01639-0 · Cited by 44
What are the Odds? The Neural Correlates of Active Choice during Gambling
Studer, B., Apergis-Schoute, A. M., Robbins, T. W., & Clark, L. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00046 · Cited by 44
The effect of novelty on reinforcement learning
Houillon, A., Lorenz, R. C., Böhmer, W., Rapp, M. A., Heinz, A., Gallinat, J., & Obermayer, K. (2013) · Progress in brain research · doi:10.1016/b978-0-444-62604-2.00021-6 · Cited by 43
Iturra-Mena, A. M., Arriagada-Solimano, M., Anders, A. L., & Dagnino‐Subiabre, A. (2018) · Journal of Neuroendocrinology · doi:10.1111/jne.12609 · Cited by 41
Neurobehavioral Effects of Restricted and Unpredictable Environmental Enrichment in Rats
Rojas‐Carvajal, M., Sequeira‐Cordero, A., & Brenes, J. C. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.00674 · Cited by 42
Coizet, V., Overton, P. G., & Redgrave, P. (2006) · The Journal of Comparative Neurology · doi:10.1002/cne.21202 · Cited by 41
Koch, K., Schachtzabel, C., Wagner, G., Reichenbach, J. R., Sauer, H., & Schlösser, R. G. M. (2008) · Learning & Memory · doi:10.1101/lm.1106408 · Cited by 41
Neural Evidence for Adaptive Strategy Selection in Value-Based Decision-Making
Gluth, S., Rieskamp, J., & Büchel, C. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht049 · Cited by 41
Single-Neuron Responses in the Human Nucleus Accumbens during a Financial Decision-Making Task
Patel, S. R., Sheth, S. A., Mian, M. K., Gale, J. T., Greenberg, B. D., Dougherty, D. D., & Eskandar, E. N. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0027-12.2012 · Cited by 42
Brain reward region responsivity of adolescents with and without parental substance use disorders.
Stice, E. M., & Yokum, S. (2013) · Psychology of Addictive Behaviors · doi:10.1037/a0034460 · Cited by 41
Challenges of Interpreting Frontal Neurons during Value-Based Decision-Making
Wallis, J. D., & Rich, E. L. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00124 · Cited by 41
Deciding in the dark: Age differences in intuitive risk judgment.
Shulman, E. P., & Cauffman, E. (2014) · Developmental Psychology · doi:10.1037/a0032778 · Cited by 39
Cropsey, K. L., Schiavon, S., Hendricks, P. S., Froelich, M., Lentowicz, I., & Fargason, R. (2017) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2017.05.024 · Cited by 39
Navigating complex decision spaces: Problems and paradigms in sequential choice.
Walsh, M. M., & Anderson, J. R. (2013) · Psychological Bulletin · doi:10.1037/a0033455 · Cited by 41
Neuroanatomical Substrates for Risk Behavior
Levy, I. (2016) · The Neuroscientist · doi:10.1177/1073858416672414 · Cited by 43
Reward expectation and prediction error in human medial frontal cortex: An EEG study
Silvetti, M., Castellar, E. N., Roger, C., & Verguts, T. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.058 · Cited by 42
Attentional modulation of reward processing in the human brain
Rothkirch, M., Schmack, K., Deserno, L., Darmohray, D. M., & Sterzer, P. (2013) · Human Brain Mapping · doi:10.1002/hbm.22383 · Cited by 43
Zhang, S., Hu, S., Chao, H. H., & Li, C.-S. R. (2017) · Brain Structure and Function · doi:10.1007/s00429-016-1358-y · Cited by 38
Neural mechanisms of decision‐making in aging
Lighthall, N. R. (2019) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1519 · Cited by 40
How does cognitive reappraisal affect the response to gains and losses?
Yang, Q., Gu, R., Tang, P., & Luo, Y. (2013) · Psychophysiology · doi:10.1111/psyp.12091 · Cited by 40
Hedging Your Bets by Learning Reward Correlations in the Human Brain
Wunderlich, K., Symmonds, M., Bossaerts, P. L., & Dolan, R. J. (2011) · Neuron · doi:10.1016/j.neuron.2011.07.025 · Cited by 41
The sensory valuation account of aesthetic experience
Nadal, M., & Skov, M. (2024) · Nature Reviews Psychology · doi:10.1038/s44159-024-00385-y · Cited by 42
The human prefrontal cortex mediates integration of potential causes behind observed outcomes
Wunderlich, K., Beierholm, U., Bossaerts, P. L., & O’Doherty, J. P. (2011) · Journal of Neurophysiology · doi:10.1152/jn.01051.2010 · Cited by 38
Value and probability coding in a feedback-based learning task utilizing food rewards
Tricomi, E. M., & Lempert, K. M. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00086.2014 · Cited by 38
Electrocortical components of anticipation and consumption in a monetary incentive delay task
Angus, D. J., Latham, A. J., Harmon‐Jones, E., Deliano, M., Balleine, B. W., & Braddon‐Mitchell, D. (2017) · Psychophysiology · doi:10.1111/psyp.12913 · Cited by 41
Value-based decision making: An interactive activation perspective.
Suri, G., Gross, J. J., & McClelland, J. L. (2019) · Psychological Review · doi:10.1037/rev0000164 · Cited by 39
Multistage Valuation Signals and Common Neural Currencies
Platt, M. L., & Plaßmann, H. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-416008-8.00013-9 · Cited by 38
Learned Value Shapes Responses to Objects in Frontal and Ventral Stream Networks in Macaque Monkeys
Kaskan, P. M., Costa, V. D., Eaton, H. P., Zemskova, J. A., Mitz, A. R., Leopold, D. A., Ungerleider, L. G., & Murray, E. A. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw113 · Cited by 38
Haller, A., & Schwabe, L. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.04.036 · Cited by 40
Neural processing of reward magnitude under varying attentional demands
Stoppel, C. M., Boehler, C. N., Strumpf, H., Heinze, H., Hopf, J., & Schoenfeld, M. A. (2011) · Brain Research · doi:10.1016/j.brainres.2011.01.095 · Cited by 39
A translational perspective on the anti-anhedonic effect of ketamine and its neural underpinnings
Pulcu, E., Guinea, C., Cowen, P. J., Murphy, S. E., & Harmer, C. J. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01183-1 · Cited by 35
Wang, L., Zheng, H., Wang, M., Chen, S., Du, X., & Dong, G. (2022) · Journal of Behavioral Addictions · doi:10.1556/2006.2022.00057 · Cited by 35
Emotion prediction as computation over a generative theory of mind
Houlihan, S. D., Max Kleiman-weiner, A., Hewitt, L., Tenenbaum, J. B., & Saxe, R. R. (2023) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2022.0047 · Cited by 44
Neural systems for choice and valuation with counterfactual learning signals
Tobia, M. J., Guo, R., Schwarze, U., Böhmer, W., Gläscher, J. P., Finckh, B., Marschner, A., Büchel, C., Obermayer, K., & Sommer, T. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.051 · Cited by 37
The Neural Correlates of Desire
Kawabata, H., & Zeki, S. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003027 · Cited by 35
Neural Correlates of Direct Access Trading in a Real Stock Market: An fMRI Investigation
Raggetti, G., Ceravolo, M. G., Fattobene, L., & Dio, C. D. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00536 · Cited by 36
Purchase decision-making is modulated by vestibular stimulation
Preuss, N., Mast, F. W., & Hasler, G. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00051 · Cited by 38
Adriani, W., Boyer, F., Leo, D., Canese, R., Podo, F., Perrone‐Capano, C., Dreyer, J., & Giovanni Laviola, A. (2010) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145709991210 · Cited by 34
Mohr, P. N. C., Heekeren, H. R., & Rieskamp, J. (2017) · Scientific Reports · doi:10.1038/s41598-017-06968-5 · Cited by 34
Reward‐related regions form a preferentially coupled system at rest
Huckins, J. F., Adeyemo, B., Miezin, F. M., Power, J. D., Gordon, E. M., Laumann, T. O., Heatherton, T. F., Petersen, S. E., & Kelley, W. M. (2018) · Human Brain Mapping · doi:10.1002/hbm.24377 · Cited by 34
Wealth, consumption and happiness
Ahuvia, A. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511490118.009 · Cited by 34
Chew, S. H., Li, K. K., Chark, R., & Zhong, S. (2008) · Advances in health economics and health services research · doi:10.1016/s0731-2199(08)20008-7 · Cited by 34
Integrative Networks Across Basal Ganglia Circuits
Haber, S. N. (2010) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-374767-9.00024-x · Cited by 37
Neural reward processing in individuals remitted from major depression
Ubl, B., Kuehner, C., Kirsch, P., Ruttorf, M., Flor, H., & Diener, C. (2015) · Psychological Medicine · doi:10.1017/s0033291715001452 · Cited by 37
Who’s biased? A meta-analysis of buyer–seller differences in the pricing of lotteries.
Yechiam, E., Ashby, N. J. S., & Pachur, T. (2017) · Psychological Bulletin · doi:10.1037/bul0000095 · Cited by 34
Doshi, P. K., Hegde, A. U., & Desai, A. (2019) · World Neurosurgery · doi:10.1016/j.wneu.2019.02.021 · Cited by 34
Lynn, S. K., Wormwood, J. B., Barrett, L. F., & Quigley, K. S. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00952 · Cited by 39
Pre-existing brain states predict risky choices
Huang, Y., Soon, C. S., Mullette-Gillman, O. A., & Hsieh, P. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.036 · Cited by 34
Huettel, S. A., & Payne, J. W. (2009) · Journal of Marketing Research · doi:10.1509/jmkr.46.1.14 · Cited by 33
Striatal topography of probability and magnitude information for decisions under uncertainty
Berns, G. S., & Bell, E. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.008 · Cited by 36
Chaminade, T., Agustus, J. L., Kilner, J. M., & Frith, C. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00179 · Cited by 33
Bradley, K., Case, J. A. C., Freed, R. D., Stern, E. R., & Gabbay, V. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.11.042 · Cited by 33
Hefner, K. R., Starr, M. J., & Curtin, J. J. (2015) · Journal of Abnormal Psychology · doi:10.1037/abn0000106 · Cited by 32
Integrating explanations of tax evasion and avoidance
Braithwaite, V. A., & Wenzel, M. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511490118.013 · Cited by 33
Recurrent, Robust and Scalable Patterns Underlie Human Approach and Avoidance
Kim, B. W., Kennedy, D. N., Lehár, J., Lee, M. J., Blood, A. J., Lee, S., Perlis, R. H., Smoller, J. W., Morris, R. R., D, M. F. M., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010613 · Cited by 35
Murao, E., Sugihara, G., Isobe, M., Noda, T., Kawabata, M., Matsukawa, N., Takahashi, H., Murai, T., & Noma, S. (2017) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12537 · Cited by 32
Catalano, L. T., Wynn, J. K., Green, M. F., & Gold, J. M. (2022) · Schizophrenia Research · doi:10.1016/j.schres.2022.05.028 · Cited by 31
A multivariate brain signature for reward
Speer, S. P. H., Keysers, C., Barrios, J. C., Teurlings, C. J. S., Smidts, A., Boksem, M. A. S., Wager, T. D., & Gazzola, V. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119990 · Cited by 36
A Primer on Reinforcement Learning in the Brain
Ludvig, E. A., Bellemare, M. G., & Pearson, K. G. (2011) · IGI Global eBooks · doi:10.4018/978-1-60960-021-1.ch006 · Cited by 33
New advances in the neural correlates of insight: A decade in review of the insightful brain
Shen, W., Luo, J., Liu, C., & Yuan, Y. (2012) · Chinese Science Bulletin · doi:10.1007/s11434-012-5565-5 · Cited by 33
From uncertainty to reward: BOLD characteristics differentiate signaling pathways
Abler, B., Herrnberger, B., Grön, G., & Spitzer, M. (2009) · BMC Neuroscience · doi:10.1186/1471-2202-10-154 · Cited by 31
ERP Correlates of Simulated Purchase Decisions
Gajewski, P. D., Drizinsky, J., Zülch, J., & Falkenstein, M. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00360 · 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
Biological and Computational Constraints to Psychological Modelling of Emotion
Roesch, E. B., Korsten, N., Fragopanagos, N. F., Taylor, J. G., Grandjean, D., & Sander, D. (2010) · Cognitive technologies · doi:10.1007/978-3-642-15184-2_4 · Cited by 30
Self-citationGrid-like entorhinal representation of an abstract value space during prospective decision making
Nitsch, A., Garvert, M. M., Bellmund, J. L. S., Schuck, N. W., & Doeller, C. F. (2024) · Nature Communications · doi:10.1038/s41467-024-45127-z · Cited by 33
Pain modulates neural responses to reward in the medial prefrontal cortex
Wang, C., Bao, C., Gao, J., Gu, Y., & Dong, X. (2019) · Human Brain Mapping · doi:10.1002/hbm.24882 · Cited by 31
Neural coding of computational factors affecting decision making
Dreher, J. (2013) · Progress in brain research · doi:10.1016/b978-0-444-62604-2.00016-2 · Cited by 29
Neural intrinsic connectivity networks associated with risk aversion in old age
Han, S. D., Boyle, P. A., Arfanakis, K., Fleischman, D. A., Yu, L., Edmonds, E. C., & Bennett, D. A. (2011) · Behavioural Brain Research · doi:10.1016/j.bbr.2011.10.026 · Cited by 29
Trait motivation moderates neural activation associated with goal pursuit
Spielberg, J. M., Miller, G. A., Warren, S. L., Engels, A. S., Crocker, L. D., Sutton, B. P., & Heller, W. (2012) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-012-0088-8 · Cited by 31
The culturally intelligent brain: from detecting to bridging cultural differences
Rockstuhl, T., Hong, Y., Ng, K., Ang, S., & Chiu, C. (2010) · Cited by 29
Estimation and Testing of Computational Psychological Models
Busemeyer, J. R., & Diederich, A. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-416008-8.00004-8 · Cited by 35
Simmons, J. M., Ravel, S., Shidara, M., & Richmond, B. J. (2007) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1401.028 · Cited by 33
Plasse, G., Fors, S. S. B. M. L., Meerkerk, D. T. J., Joosten, R. N. J. M. A., Uylings, H. B. M., & Feenstra, M. G. P. (2007) · Psychopharmacology · doi:10.1007/s00213-007-0917-6 · Cited by 28
Cook, J. L. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.02.007 · Cited by 31
Enhanced striatal responses during expectancy coding in alcohol dependence
van Holst, R. J., Clark, L., Veltman, D. J., van den Brink, W., & Goudriaan, A. E. (2014) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2014.06.019 · Cited by 28
Kamarajan, C., Pandey, A. K., Chorlian, D. B., Manz, N., Stimus, A. T., Bauer, L. O., HESSELBROCK, V. M., Schuckit, M. A., Kuperman, S., Kramer, J., et al. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2015.09.005 · Cited by 29
Available alternative incentives modulate anticipatory nucleus accumbens activation
Cooper, J. C., Hollon, N. G., Wimmer, G. E., & Knutson, B. (2009) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsp031 · Cited by 27
Self-citationNeural correlates of taste reward value across eating disorders
Olsavsky, A. K., Shott, M. E., DeGuzman, M. C., & Frank, G. (2018) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2018.08.010 · Cited by 28
Believing and Beliefs—Neurophysiological Underpinnings
Seitz, R. J. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.880504 · Cited by 31
Toma, F.-M. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.118722 · Cited by 28
The Neural Basis of Testable and Non-Testable Beliefs
Howlett, J. R., & Paulus, M. P. (2015) · PLoS ONE · doi:10.1371/journal.pone.0124596 · Cited by 27
Frank, L. E., Preston, A. R., & Zeithamová, D. (2019) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00700-8 · Cited by 27
Near-Optimal Human Adaptive Control across Different Noise Environments
Chhabra, M., & Jacobs, R. A. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.2238-06.2006 · Cited by 27
Striatal and septo-hypothalamic responses to anticipation and outcome of affiliative rewards
Bortolini, T., Melo, B. R. P., Basílio, R., Fischer, R. D., Zahn, R., de Oliveira‐Souza, R., Knutson, B. D., & Moll, J. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118474 · Cited by 26
Self-citationGaalen, A. E. J. V., Jaarsma, D. A. D. C., & Georgiadis, J. R. (2021) · JMIR Serious Games · doi:10.2196/25637 · Cited by 27
Metadata
- Authors
- Knutson, B., Taylor, J., Kaufman, M., Peterson, R., & Glover, G.
- Affiliations
- Stanford University (US)
- Corresponding author
- Knutson, Brian
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2005-05-11
- Volume
- 25
- Issue
- 19
- Pages
- 4806-4812
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6724773
- OpenAlex
- W2163979049
- Cited by
- 955
- References
- 34
- Citations by year
- 2026: 13 · 2025: 13 · 2024: 19 · 2023: 26 · 2022: 30 · 2021: 33 · 2020: 22 · 2019: 39 · 2018: 51 · 2017: 42 · 2016: 55 · 2015: 53 · 2014: 45 · 2013: 81 · 2012: 58
- FWCI
- 27.35
- 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)
- SSRN Electronic Journal (submittedVersion)
- Funders
- National Alliance for Research on Schizophrenia and Depression
- National Institute of Mental Health (R03MH066923)
- National Center for Research Resources (RR 09784, P41RR009784)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- expected value, reward anticipation, reward magnitude, reward probability, nucleus accumbens, mesolimbic system, monetary gains and losses, individual differences, probability estimation
- MeSH terms
- Adult, Brain Mapping, Female, Humans, Image Processing, Computer-Assisted, Functional Laterality, Magnetic Resonance Imaging, Male, Nucleus Accumbens, Oxygen, Photic Stimulation, Probability, Reference Values, Regression Analysis, Reward, Time Factors, Prefrontal Cortex
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
