Distributed Neural Representation of Expected Value

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

Choices, values, and frames.

Kahneman, D., & Tversky, A. (1984) · American Psychologist · doi:10.1037/0003-066x.39.4.341 · Cited by 6,544

Risk as feelings.

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

Risk as feelings.

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

The Affect Heuristic

Slovic, P., Finucane, M., Peters, E., & MacGregor, D. G. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.025 · Cited by 2,349

A ventromedial prefrontal dysrhythmia in obsessive-compulsive disorder is attenuated by nucleus accumbens deep brain stimulation

Treu, S., González-Rosa, J. J., Soto-León, V., Lozano‐Soldevilla, D., Oliviero, A., López-Sosa, F., Reneses-Prieto, B., Barcia, J. A., & Strange, B. A. (2021) · Brain stimulation · doi:10.1016/j.brs.2021.04.028 · Cited by 26

Value signals guide abstraction during learning

Cortese, A., Yamamoto, A., Hashemzadeh, M., Sepúlveda, P., Kawato, M., & Martino, B. D. (2021) · eLife · doi:10.7554/elife.68943 · Cited by 31

Anticipation of high arousal aversive and positive movie clips engages common and distinct neural substrates

Greenberg, T., Carlson, J. M., Rubin, D., Cha, J., & Mujica-Parodi, L. R. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu091 · Cited by 27

Separate Neural Networks for Gains and Losses in Intertemporal Choice

Zhang, Y., Xu, L., Liang, Z., Wang, K., Hou, B., Zhou, Y., Li, S., & Jiang, T. (2018) · Neuroscience Bulletin · doi:10.1007/s12264-018-0267-x · Cited by 26

Aberrant Parasympathetic Stress Responsivity in Pure and Co-Occurring Major Depressive Disorder and Generalized Anxiety Disorder

Kircanski, K., Waugh, C. E., Camacho, M. C., & Gotlib, I. H. (2016) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/s10862-015-9493-y · Cited by 26

The impact of drugs of abuse on executive function: characterizing long-term changes in neural correlates following chronic drug exposure and withdrawal in ratsPreprint

Brockett, A. T., Pribut, H. J., Vázquez, D., & Roesch, M. R. (2018) · Learning & Memory · doi:10.1101/lm.047001.117 · Cited by 28

Neural reward circuit dysfunction as a risk factor for bipolar spectrum disorders and substance use disorders: A review and integration

Bart, C. P., Titone, M. K., Ng, T. H., Nusslock, R., & Alloy, L. B. (2021) · Clinical Psychology Review · doi:10.1016/j.cpr.2021.102035 · Cited by 31

Three studies on the neuroeconomics of decision-making when payoffs are real and negative

Berns, G. S., Capra, C. M., Moore, S. E., & NOUSSAIR, C. N. (2008) · Advances in health economics and health services research · doi:10.1016/s0731-2199(08)20001-4 · Cited by 25

Localisation of cognitive tasks used in EEG-based BCIs

Dyson, M., Sepulveda, F., & Gan, J. Q. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.03.011 · Cited by 27

Striatal intrinsic reinforcement signals during recognition memory: relationship to response bias and dysregulation in schizophrenia

Wolf, D. H. (2011) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2011.00081 · Cited by 25

The Expected Utility of Movement

Trommershäuser, J., Maloney, L. T., & Landy, M. S. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374176-9.00008-7 · Cited by 27

Functional Neuroimaging and Psychology: What Have You Done for Me Lately?

Moran, J. M., & Zaki, J. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00380 · Cited by 26

Culturally valued facial expressions enhance loan request success.

Park, B., Genevsky, A., Knutson, B. D., & Tsai, J. L. (2019) · Emotion · doi:10.1037/emo0000642 · Cited by 25

The Neurobiology of Sensory Valuation

Skov, M. (2019) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198824350.013.7 · Cited by 26

Functional Abnormality of the Executive Control Network in Individuals With Obesity During Delay Discounting

Zhang, W., Li, G., Manza, P., Hu, Y., Wang, J., Lv, G., He, Y., von Deneen, K. M., Yu, J., Han, Y., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab333 · Cited by 25

Prior probability modulates anticipatory activity in category-specific areas

Trapp, S., Lepsien, J., Kotz, S. A., & Bar, M. (2016) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-015-0373-4 · Cited by 24

Coding of level of ambiguity within neural systems mediating choice

Lopez‐Paniagua, D., & Seger, C. A. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00229 · Cited by 25

The role of moral utility in decision making: An interdisciplinary framework

Tobler, P. N., Kalis, A., & Kalenscher, T. (2008) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.8.4.390 · Cited by 27

Inter-individual discount factor differences in reward prediction are topographically associated with caudate activation

Onoda, K., Okamoto, Y., Kunisato, Y., Aoyama, S., Shishida, K., Okada, G., Tanaka, S., Schweighofer, N., Yamaguchi, S., Doya, K., et al. (2011) · Experimental Brain Research · doi:10.1007/s00221-011-2771-3 · Cited by 25

Predictability of investment behavior from brain information measured by functional near-infrared spectroscopy: A bayesian neural network model

Shimokawa, T., Suzuki, K., Misawa, T., & Miyagawa, K. (2009) · Neuroscience · doi:10.1016/j.neuroscience.2009.02.079 · Cited by 27

fNIRS derived hemodynamic signals and electrodermal responses in a sequential risk-taking task

Holper, L., ten Brincke, R. H. W., Wolf, M., & Murphy, R. O. (2014) · Brain Research · doi:10.1016/j.brainres.2014.02.013 · Cited by 24

How do magnitude and frequency of monetary reward guide visual search?

Won, B.-Y., & Leber, A. B. (2016) · Attention Perception & Psychophysics · doi:10.3758/s13414-016-1154-z · Cited by 24

Striatal prediction errors support dynamic control of declarative memory decisions

Scimeca, J. M., Katzman, P. L., & Badre, D. (2016) · Nature Communications · doi:10.1038/ncomms13061 · Cited by 24

First-Pass Processing of Value Cues in the Ventral Visual Pathway

Sasikumar, D., Emeric, E. E., Stuphorn, V., & Connor, C. E. (2018) · Current Biology · doi:10.1016/j.cub.2018.01.051 · Cited by 25

Parental inconsistency, impulsive choice and neural value representations in healthy adolescents

Schneider, S., Peters, J., Peth, J., & Büchel, C. (2014) · Translational Psychiatry · doi:10.1038/tp.2014.20 · Cited by 24

Value representations by rank order in a distributed network of varying context dependency

Mullett, T. L., & Tunney, R. J. (2013) · Brain and Cognition · doi:10.1016/j.bandc.2013.02.010 · Cited by 25

Neuroimaging, neuromodulation, and population health: the neuroscience of chronic disease prevention

Hall, P. A., Bickel, W. K., Erickson, K. I., & Wagner, D. D. (2018) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13868 · Cited by 25

Orbitofrontal cortex and learning predictions of state transitions.

Chan, S. C. Y., Schuck, N. W., Lopatina, N., Schoenbaum, G. M., & Niv, Y. (2021) · Behavioral Neuroscience · doi:10.1037/bne0000461 · Cited by 21

Fronto-limbic novelty processing in acute psychosis: disrupted relationship with memory performance and potential implications for delusions

Schott, B. H., Voss, M., Wagner, B., Wüstenberg, T., Düzel, E., & Behr, J. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00144 · Cited by 23

Integrating fMRI with psychophysiological measurements in the study of decision making.

Wong, S. W. H., Xue, G., & Bechara, A. (2011) · Journal of Neuroscience Psychology and Economics · doi:10.1037/a0023525 · Cited by 23

Neural dynamics of reward probability coding: a Magnetoencephalographic study in humans

Thomas, J., Vanni-Mercier, G., & Dreher, J. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00214 · Cited by 25

Resting-state connectivity within the brain’s reward system predicts weight loss and correlates with leptin

Schmidt, L., Medawar, E., Aron‐Wisnewsky, J., Genser, L., Poitou, C., Clément, K., & Plaßmann, H. (2021) · Brain Communications · doi:10.1093/braincomms/fcab005 · Cited by 24

Human preferences are biased towards associative information

Trapp, S., Shenhav, A., Bitzer, S., & Bar, M. (2014) · Cognition & Emotion · doi:10.1080/02699931.2014.966064 · Cited by 23

Dissociation of BOLD responses to reward prediction errors and reward receipt by a model comparison

Rohe, T., Weber, B., & Fließbach, K. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.08125.x · Cited by 22

Brain Activity of the Investor's Stock Market Financial Decision

Vieito, J. P., da Rocha, A. F., & Rocha, F. (2015) · Journal of Behavioral Finance · doi:10.1080/15427560.2015.1064931 · Cited by 22

Smokers and ex‐smokers have shared differences in the neural substrates for potential monetary gains and losses

Nestor, L. J., McCabe, E., Jones, J. L., Clancy, L., & Garavan, H. (2016) · Addiction Biology · doi:10.1111/adb.12484 · Cited by 23

Posttraumatic Stress Disorder is associated with altered reward mechanisms during the anticipation and the outcome of monetary incentive cues

Boukezzi, S. C., Baunez, C., Rousseau, P., Warrot, D., Silva, C., Guyon, V., Zendjidjian, X. Y., Nicolas, F., Guedj, É., Nazarian, B., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.102073 · Cited by 26

Cortico-subthalamic connection predicts individual differences in value-driven choice bias

Mulder, M., Boekel, W., Ratcliff, R., & Forstmann, B. U. (2013) · Brain Structure and Function · doi:10.1007/s00429-013-0561-3 · Cited by 23

Examining brain structures associated with the motive to achieve success and the motive to avoid failure: A voxel-based morphometry study

Ming, D., Chen, Q., Yang, W., Chen, R., Wei, D., Li, W., Qiu, J., Xu, Z., & Zhang, Q. (2015) · Social Neuroscience · doi:10.1080/17470919.2015.1034377 · Cited by 21

Lower neural value signaling in the prefrontal cortex is related to childhood family income and depressive symptomatology during adolescence

Palacios‐Barrios, E. E., Hanson, J. L., Barry, K. R., Albert, D., White, S. F., Skinner, A. T., Dodge, K. A., & Lansford, J. E. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100920 · Cited by 23

Single caudate neurons encode temporally discounted value for formulating motivation for action

Hori, Y., Mimura, K., Nagai, Y., Fujimoto, A., Oyama, K., Kikuchi, E., Inoue, K., Takada, M., Suhara, T., Richmond, B. J., et al. (2021) · eLife · doi:10.7554/elife.61248 · Cited by 21

What Do I Want and When Do I Want It: Brain Correlates of Decisions Made for Self and Other

Albrecht, K., Volz, K. G., Sutter, M., & von Cramon, D. Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073531 · Cited by 23

The Lure of the Unknown

Knutson, B. D., & Cooper, J. C. (2006) · Neuron · doi:10.1016/j.neuron.2006.07.017 · Cited by 21

Developmental changes of neuronal networks associated with strategic social decision-making

Steinmann, E., Schmalor, A., Prehn‐Kristensen, A., Wolff, S., Galka, A., Möhring, J., Gerber, W., Petermann, F., Stephani, U., & Siniatchkin, M. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.12.025 · Cited by 24

Diet matters: Glucocorticoid-related neuroadaptations associated with calorie intake in female rhesus monkeys

Godfrey, J. R., Diaz, M. P., Pincus, M., Kovacs-Balint, Z., Feczko, E., Earl, E., Miranda-Domínguez, Ó., Fair, D. A., Sánchez, M. M., Wilson, M. E., et al. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.03.008 · Cited by 21

Age-related differences in striatal, medial temporal, and frontal involvement during value-based decision processing

Su, Y.-S., Chen, J.-T., Tang, Y.-J., Yuan, S.-Y., McCarrey, A. C., & Goh, J. O. S. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.05.019 · Cited by 22

Motivation alters response bias and neural activation patterns in a perceptual decision-making task

Reckless, G. E., Bolstad, I., Nakstad, P., Andreassen, O. A., & Jensen, J. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2013.02.015 · Cited by 22

Non-invasive stimulation reveals ventromedial prefrontal cortex function in reward prediction and reward processing

Rehbein, M. A., Kroker, T., Winker, C., Ziehfreund, L., Reschke, A., Bölte, J., Wyczesany, M., Roesmann, K., Wessing, I., & Junghöfer, M. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1219029 · Cited by 21

Distributed attribute representation in the superior parietal lobe during probabilistic decision‐making

Wang, P., Chen, S., Deng, K., Zhang, B., Im, H., Feng, J., Liu, L., Yang, Q., Zhao, G. W., He, Q., et al. (2023) · Human Brain Mapping · doi:10.1002/hbm.26470 · Cited by 20

When unconscious rewards boost cognitive task performance inefficiently: the role of consciousness in integrating value and attainability information

Zedelius, C. M., Veling, H., & Aarts, H. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00219 · Cited by 24

Reward, Value, and Salience

Kahnt, T., & Tobler, P. N. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-805308-9.00009-9 · Cited by 22

Apparent Effects of Opioid Use on Neural Responses to Reward in Chronic Pain

Martucci, K. T., MacNiven, K. H., Borg, N., Knutson, B. D., & Mackey, S. (2019) · Scientific Reports · doi:10.1038/s41598-019-45961-y · Cited by 20

A confidence metric for using neurobiological feedback in actor-critic reinforcement learning based brain-machine interfaces

Prins, N. W., Sanchez, J. C., & Prasad, A. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00111 · Cited by 20

Affective priming and cognitive load: Event‐related potentials suggest an interplay of implicit affect misattribution and strategic inhibition

Gibbons, H., Seib‐Pfeifer, L., Koppehele‐Gossel, J., & Schnuerch, R. (2017) · Psychophysiology · doi:10.1111/psyp.13009 · Cited by 20

Happiness Level of Teachers and Analyzing its Relation with Some Variables

Mertoğlu, M. (2018) · Asian Journal of Education and Training · doi:10.20448/journal.522.2018.44.396.402 · Cited by 20

Improving Financial Decision Making With Unconscious Thought: A Transcendent Model

Cheng, P. (2010) · Journal of Behavioral Finance · doi:10.1080/15427560.2010.482877 · Cited by 19

Emotional and cognitive stimuli differentially engage the default network during inductive reasoning

Eldaief, M. C., Deckersbach, T., Carlson, L. E., Beucke, J. C., & Dougherty, D. D. (2011) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsr003 · Cited by 20

Congruence of Inherent and Acquired Values Facilitates Reward-Based Decision-Making

Chien, S., Wiehler, A., Spezio, M., & Gläscher, J. P. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3084-15.2016 · Cited by 19

Factors Affecting Happiness of School Children

Mertoğlu, M. (2020) · Journal of Education and Training Studies · doi:10.11114/jets.v8i3.4674 · Cited by 19

The influence of anticipated monetary incentives on visual working memory performance in healthy younger and older adults

Manga, A., Vakli, P., & Vidnyánszky, Z. (2020) · Scientific Reports · doi:10.1038/s41598-020-65723-5 · Cited by 19

The Ups and Downs of Relating Nondrug Reward Activation to Substance Use Risk in Adolescents

Bjork, J. M. (2020) · Current Addiction Reports · doi:10.1007/s40429-020-00327-7 · Cited by 19

Inter-temporal choice and self-control: saving and borrowing

Webley, P., & Nyhus, E. K. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511490118.005 · Cited by 20

Retrospective Valuation of Experienced Outcome Encoded in Distinct Reward Representations in the Anterior Insula and Amygdala

Vestergaard, M. D., & Schultz, W. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.2130-19.2020 · Cited by 18

Reward processing in major depressive disorder and prediction of treatment response – Neuropharm study

Brandt, I. M., Köhler‐Forsberg, K., Ganz, M., Ozenne, B., Jørgensen, M. B., Poulsen, A. S., Knudsen, G. M., Frøkjær, V. G., & Fisher, P. M. (2021) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2020.12.010 · Cited by 18

Risk Representation, Perception, and Propensity in an Integrated Human Lane-Change Decision Model

Jiang, L., Chen, D., Li, Z., & Wang, Y. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3207182 · Cited by 19

[Commentary] CAN REPLACEMENT THERAPY WORK IN THE TREATMENT OF COCAINE DEPENDENCE? AND WHAT ARE WE REPLACING ANYWAY?

Vocci, F. J. (2007) · Addiction · doi:10.1111/j.1360-0443.2007.02014.x · Cited by 18

Neural substrates of contingency learning and executive control: dissociating physical, valuative, and behavioral changes

Mullette-Gillman, O. A. (2009) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.023.2009 · Cited by 19

Stock Market Returns to Financial Innovations Before and During the Financial Crisis in the United States and Europe

Schöler, L., Skiera, B., & Tellis, G. J. (2013) · Journal of Product Innovation Management · doi:10.1111/jpim.12138 · Cited by 18

“Virus and Epidemic”: Causal Knowledge Activates Prediction Error Circuitry

Fenker, D. B., Schoenfeld, M. A., Waldmann, M. R., Schuetze, H., Heinze, H., & Düzel, E. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21387 · Cited by 18

Frontostriatal pathways gate processing of behaviorally relevant reward dimensions

Weber, S. C., Kahnt, T., Quednow, B. B., & Tobler, P. N. (2018) · PLoS Biology · doi:10.1371/journal.pbio.2005722 · Cited by 18

Social training reconfigures prediction errors to shape Self-Other boundaries

Ereira, S., Hauser, T. U., Moran, R., Story, G. W., Dolan, R. J., & Kurth-Nelson, Z. L. (2020) · Nature Communications · doi:10.1038/s41467-020-16856-8 · Cited by 22

Characterizing reward system neural trajectories from adolescence to young adulthood

Cao, Z., Ottino‐González, J., Cupertino, R. B., Juliano, A., Chaarani, B., Banaschewski, T., Bokde, A. L. W., Quinlan, E. B., Desrivières, S., Flor, H., et al. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.101042 · Cited by 20

Effect of Emotion and Personality on Deviation from Purely Rational Decision-Making

Fiori, M., Lintas, A., Mesrobian, S. K., & Villa, A. E. P. (2013) · Studies in computational intelligence · doi:10.1007/978-3-642-36406-8_5 · Cited by 18

Hemodynamic and affective correlates assessed during performance on the Columbia Card Task (CCT)

Holper, L., & Murphy, R. O. (2013) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9265-9 · Cited by 18

Glutathione in the nucleus accumbens regulates motivation to exert reward-incentivized effort

Zalachoras, I., Ramos‐Fernández, E., Hollis, F., Trovò, L., Rodrigues, J., Strasser, A., Zanoletti, O., Steiner, P., Preitner, N., Xin, L., et al. (2022) · eLife · doi:10.7554/elife.77791 · Cited by 19

Adapting neuroeconomics for environmental and energy policy

Sawe, N. A. (2018) · Behavioural Public Policy · doi:10.1017/bpp.2018.2 · Cited by 17

One thought too few: An adaptive rationale for punishing negligence.

Sarin, A., & Cushman, F. A. (2024) · Psychological Review · doi:10.1037/rev0000476 · Cited by 18

Aging and risk taking: toward an integration of cognitive, emotional, and neurobiological perspectives

Lee, T., & Shao, R. (2014) · Neuroscience and Neuroeconomics · doi:10.2147/nan.s35914 · Cited by 19

Risk-attitude selection bias in subject pools for experiments involving neuroimaging and blood samples

Roe, B. E., Haab, T. C., Beversdorf, D. Q., Gu, H. H., & Tilley, M. R. (2008) · Journal of Economic Psychology · doi:10.1016/j.joep.2008.07.005 · Cited by 17

Practical Implications of Empirically Studying Moral Decision-Making

Heinzelmann, N. C., Ugazio, G., & Tobler, P. N. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00094 · Cited by 19

Neuroeconomics: Opening the “black box” behind the economic behavior

Yu, R., & Zhou, X. (2007) · Chinese Science Bulletin · doi:10.1007/s11434-007-0193-1 · Cited by 17

Functional magnetic resonance imaging study on the effects of acute single administration of paroxetine on motivation-related brain activity

Marutani, T., Yahata, N., Ikeda, Y., Ito, T., Yamamoto, M., Matsuura, M., Matsushima, E., Okubo, Y., Suzuki, H., & Matsuda, T. (2011) · Psychiatry and Clinical Neurosciences · doi:10.1111/j.1440-1819.2011.02189.x · Cited by 16

Support for a history-dependent predictive model of dACC activity in producing the bivalency effect: An event-related potential study

Grundy, J. G., & Shedden, J. M. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.03.008 · Cited by 16

Motivation and Competition in Health Care

Scott, A., & Sivey, P. M. (2017) · Health Economics · doi:10.1002/hec.4533 · Cited by 16

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

Differential activation of the striatum for decision making and outcomes in a monetary task with gain and loss

Ino, T., Nakai, R., Azuma, T., Kimura, T., & Fukuyama, H. (2009) · Cortex · doi:10.1016/j.cortex.2009.02.022 · Cited by 16

Individual visual working memory capacities and related brain oscillatory activities are modulated by color preferences

Kawasaki, M., & Yamaguchi, Y. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00318 · Cited by 16

Instrumental Divergence and the Value of Control

Mistry, P., & Liljeholm, M. (2016) · Scientific Reports · doi:10.1038/srep36295 · Cited by 18

Using Expectancy Theory to quantitatively dissociate the neural representation of motivation from its influential factors in the human brain: An fMRI study

Kohli, A., Blitzer, D. N., Lefco, R. W., Barter, J. W., Haynes, M. R., Colalillo, S. A., Ly, M., & Zink, C. F. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.021 · Cited by 16

The Monetary Incentive Delay (MID) Task Induces Changes in Sensory Processing: ERP Evidence

Krugliakova, E., Gorin, A., Fedele, T., Юрьевич, Ш. Ю., Moiseeva, V., Klucharev, V. A., & Шестакова, А. Н. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00382 · Cited by 18

Effects of reward and punishment in prosocial video games on attentional bias and prosocial behaviors

Yin, M., Qiu, B., He, X., Tao, Z., Zhuang, C., Xie, Q., Tian, Y., & Zhang, W. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107441 · Cited by 17

Motivated for near impossibility: How task type and reward modulate task enjoyment and the striatal activation for extremely difficult task

Sakaki, M., Meliß, S., Murayama, K., Yomogida, Y., Matsumori, K., Sugiura, A., Matsumoto, M., & Matsumoto, K. (2022) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-022-01046-4 · Cited by 19

Are Risky Choices Actually Guided by a Compensatory Process? New Insights from fMRI

Rao, L., Zhou, Y., Xu, L., Liang, Z., Jiang, T., & Li, S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0014756 · Cited by 16

The time course of cognitive control implementation

Janssens, C., Loof, E. D., Pourtois, G., & Verguts, T. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-015-0992-3 · Cited by 19

A model-based fMRI analysis with hierarchical Bayesian parameter estimation.

Ahn, W., Krawitz, A., Kim, W., Busemeyer, J. R., & Brown, J. W. (2013) · Decision · doi:10.1037/2325-9965.1.s.8 · Cited by 16

Women's responses to stereotypical media portrayals: An fMRI study of sexualized and domestic images of women

Vezich, I. S., Gunter, B. C., & Lieberman, M. D. (2017) · Journal of Consumer Behaviour · doi:10.1002/cb.1635 · Cited by 16

Financial decisions in the household

Burgoyne, C. B., & Kirchler, E. M. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511490118.006 · Cited by 17

Neural Mechanisms Underlying Compensatory and Noncompensatory Strategies in Risky Choice

van Duijvenvoorde, A. C. K., Figner, B., Weeda, W. D., van der Molen, M. W., Jansen, B. R. J., & Huizenga, H. M. (2016) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00975 · Cited by 15

The anger incentive delay task: A novel method for studying anger in neuroscience research

Angus, D. J., & Harmon‐Jones, E. (2018) · Psychophysiology · doi:10.1111/psyp.13290 · Cited by 19

The Prisoner’s Dilemma paradigm provides a neurobiological framework for the social decision cascade

Thompson, K., Nahmias, E., Fani, N., Kvaran, T., Turner, J., & Tone, E. B. (2021) · PLoS ONE · doi:10.1371/journal.pone.0248006 · Cited by 15

Draft: Please do not cite or distribute Corresponding Author:

Lisberger, S. G., Knutson, B. D., Taylor, J., Kaufman, M. T., Peterson, R., & Glover, G. H. (2014)

Neurally reconstructing expected utility

Knutson, B. D., & Peterson, R. (2005) · Games and Economic Behavior · doi:10.1016/j.geb.2005.01.002 · Cited by 182

Neural Population Dynamics Underlying Expected Value Computation

Yamada, H., Imaizumi, Y., & Matsumoto, M. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1987-20.2020 · Cited by 24

Overlapping Responses for the Expectation of Juice and Money Rewards in Human Ventromedial Prefrontal Cortex

Kim, H., Shimojo, S., & O'Doherty, J. P. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq145 · Cited by 176

Activation in the VTA and nucleus accumbens increases in anticipation of both gains and losses

Carter, R. (2009) · Frontiers in Behavioral Neuroscience · doi:10.3389/neuro.08.021.2009 · Cited by 202