Mapping anhedonia onto reinforcement learning: a behavioural meta-analysis
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BACKGROUND: Depression is characterised partly by blunted reactions to reward. However, tasks probing this deficiency have not distinguished insensitivity to reward from insensitivity to the prediction errors for reward that determine learning and are putatively reported by the phasic activity of dopamine neurons. We attempted to disentangle these factors with respect to anhedonia in the context of stress, Major Depressive Disorder (MDD), Bipolar Disorder (BPD) and a dopaminergic challenge. METHODS: Six behavioural datasets involving 392 experimental sessions were subjected to a model-based, Bayesian meta-analysis. Participants across all six studies performed a probabilistic reward task that used an asymmetric reinforcement schedule to assess reward learning. Healthy controls were tested under baseline conditions, stress or after receiving the dopamine D2 agonist pramipexole. In addition, participants with current or past MDD or BPD were evaluated. Reinforcement learning models isolated the contributions of variation in reward sensitivity and learning rate. RESULTS: MDD and anhedonia reduced reward sensitivity more than they affected the learning rate, while a low dose of the dopamine D2 agonist pramipexole showed the opposite pattern. Stress led to a pattern consistent with a mixed effect on reward sensitivity and learning rate. CONCLUSION: Reward-related learning reflected at least two partially separable contributions. The first related to phasic prediction error signalling, and was preferentially modulated by a low dose of the dopamine agonist pramipexole. The second related directly to reward sensitivity, and was preferentially reduced in MDD and anhedonia. Stress altered both components. Collectively, these findings highlight the contribution of model-based reinforcement learning meta-analysis for dissecting anhedonic behavior.
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Their study was consistent with evidence that reward sensitivity and not learning rates are reduced in anhedonic depression.
“Their study was consistent with evidence that reward sensitivity and not learning rates are reduced in anhedonic depression (Huys et al., 2013; Chen et al., 2015).”
From The orbitofrontal cortex: reward, emotion and depression (2020) · cites this paper as Huys et al., 2013
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Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,841 · see citing works
Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444 · see citing works
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817 · see citing works
Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013) · doi:10.1201/b16018 · Cited by 27,276 · see citing works
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225 · see citing works
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 25,263 · see citing works
Advances in neural information processing systems 7
Cios, K. J., & Shields, M. E. (1997) · Neurocomputing · doi:10.1016/s0925-2312(97)90018-7 · Cited by 22,089 · see citing works
Kass, R. E., & Raftery, A. E. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476572 · Cited by 12,558 · see citing works
(1966) · Medical Entomology and Zoology · Cited by 10,293 · see citing works
A Rating Scale for Mania: Reliability, Validity and Sensitivity
Young, R. C., Biggs, J. T., Ziegler, V. E., & Meyer, D. A. (1978) · British Journal of Psychiatry · doi:10.1192/bjp.133.5.429 · Cited by 8,744 · see citing works
Rescorla, R. A. (1972) · Medical Entomology and Zoology · Cited by 7,268 · see citing works
Information theory, inference, and learning algorithms
(2004) · Choice Reviews Online · doi:10.5860/choice.41-5949 · Cited by 6,535 · see citing works
Information Theory, Inference, and Learning Algorithms
(2004) · Kybernetes · doi:10.1108/03684920410534506 · Cited by 4,937 · see citing works
Classical conditioning II: Current research and theory.
Black, A. H., & Prokasy, W. F. (1972) · Appleton-Century-Crofts eBooks · Cited by 4,449 · see citing works
What is the role of dopamine in reward: hedonic impact, reward learning, or incentive salience?
Berridge, K. C., & Robinson, T. E. (1998) · Brain Research Reviews · doi:10.1016/s0165-0173(98)00019-8 · Cited by 4,127 · see citing works
WIDROW, B., & HOFF, M. E. (1960) · doi:10.21236/ad0241531 · Cited by 4,009 · see citing works
International Classification of Diseases
Jones, F. A. (1978) · Gut · doi:10.1136/gut.19.12.1175 · Cited by 2,919 · see citing works
Diagnostic and Statistical Manual of Mental Disorders
Raber, G., & Spokas, M. (2024) · doi:10.4135/9781071886229.n145 · Cited by 2,806 · see citing works
Advances in Neural Information Processing Systems 20
Bonilla, E. V., Chai, K. M. A., & Williams, C. K. I. (2008) · neural information processing systems · Cited by 2,701 · see citing works
Daw, N. D., Niv, Y., & Dayan, P. (2005) · Nature Neuroscience · doi:10.1038/nn1560 · Cited by 2,533 · see citing works
Self-citationKrishnan, V., Han, M.-H., Graham, D. L., Berton, O., Renthal, W., Russo, S. J., LaPlant, Q., Graham, A., Lutter, M., Lagace, D. C., et al. (2007) · Cell · doi:10.1016/j.cell.2007.09.018 · Cited by 2,307 · cited 1× · see citing works
“These range from the fact that DA manipulations affect mood [85] and that many antidepressants have pro-DA effects (including buproprion, sertraline, nomifensine, tranylcypromine amongst others; [86]), to a role in resilience [87,88], and suicidality in MDD [89,90].”
BackgroundA framework for mesencephalic dopamine systems based on predictive Hebbian learning
Montague, P., Dayan, P., & Sejnowski, T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-05-01936.1996 · Cited by 2,066 · see citing works
Self-citationThe mesolimbic dopamine reward circuit in depression
Nestler, E. J., & Carlezon, W. A. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.09.018 · Cited by 2,059 · see citing works
Learning the value of information in an uncertain world
Behrens, T. E. J., Woolrich, M. W., Walton, M. E., & Rushworth, M. F. S. (2007) · Nature Neuroscience · doi:10.1038/nn1954 · Cited by 2,053 · see citing works
Willner, P., Towell, A., Sampson, D., Sophokleous, S., & Muscat, R. (1987) · Psychopharmacology · doi:10.1007/bf00187257 · Cited by 1,993 · see citing works
The Biochemical Basis of Neuropharmacology.
(1974) · Annals of Internal Medicine · doi:10.7326/0003-4819-81-4-575_2 · Cited by 1,882 · see citing works
Grace, A. A. (1991) · Neuroscience · doi:10.1016/0306-4522(91)90196-u · Cited by 1,831 · see citing works
Uncertainty, Neuromodulation, and Attention
Yu, A. J., & Dayan, P. (2005) · Neuron · doi:10.1016/j.neuron.2005.04.026 · Cited by 1,774 · see citing works
Self-citationNew approaches to antidepressant drug discovery: beyond monoamines
Berton, O., & Nestler, E. J. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1846 · Cited by 1,589 · see citing works
Reconsidering anhedonia in depression: Lessons from translational neuroscience
Treadway, M. T., & Zald, D. H. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2010.06.006 · Cited by 1,579 · see citing works
Temporal difference models and reward-related learning in the human brain
O'Doherty, J. P., Dayan, P., Friston, K., Critchley, H., & Dolan, R. J. (2003) · Neuron · doi:10.1016/s0896-6273(03)00169-7 · Cited by 1,522 · see citing works
Self-citationToward a modern theory of adaptive networks: Expectation and prediction.
Sutton, R. S., & Barto, A. G. (1981) · Psychological Review · doi:10.1037/0033-295x.88.2.135 · Cited by 1,450 · see citing works
Watson, D., Weber, K., Assenheimer, J. S., Clark, L. A., Strauss, M. E., & McCormick, R. A. (1995) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.104.1.3 · Cited by 1,423 · see citing works
Bayesian model selection for group studies
Stephan, K. E., Penny, W. D., Daunizeau, J., Moran, R. J., & Friston, K. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.03.025 · Cited by 1,423 · see citing works
Watson, D., Weber, K., Assenheimer, J. S., Clark, L. A., Strauss, M. E., & McCormick, R. A. (1995) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.104.1.3 · Cited by 1,423 · see citing works
Sutton, R. S. (1990) · Elsevier eBooks · doi:10.1016/b978-1-55860-141-3.50030-4 · Cited by 1,348 · see citing works
Midbrain dopamine neurons encode a quantitative reward prediction error signal
Bayer, H. M., & Glimcher, P. W. (2005) · Neuron · doi:10.1016/j.neuron.2005.05.020 · Cited by 1,304 · see citing works
The role of dopamine in the pathophysiology of depression
Dunlop, B. W., & Nemeroff, C. B. (2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.3.327 · Cited by 1,244 · see citing works
Pizzagalli, D. A., Holmes, A. J., Dillon, D. G., Goetz, E. L., Birk, J. L., Bogdan, R., Dougherty, D. D., Iosifescu, D. V., Rauch, S. L., & Fava, M. (2009) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2008.08081201 · Cited by 1,232 · see citing works
Self-citation“Liking” and “wanting” food rewards: Brain substrates and roles in eating disorders
Berridge, K. C. (2009) · Physiology & Behavior · doi:10.1016/j.physbeh.2009.02.044 · Cited by 1,147 · see citing works
Tonic dopamine: Opportunity costs and the control of response vigor
Niv, Y., Daw, N. D., Joel, D., & Dayan, P. (2007) · Psychopharmacology · doi:10.1007/s00213-006-0502-4 · Cited by 1,133 · see citing works
Self-citationFloresco, S. B., West, A. R., Ash, B., Moore, H., & Grace, A. A. (2003) · Nature Neuroscience · doi:10.1038/nn1103 · Cited by 1,106 · see citing works
Nedelman, J. R. (2005) · Computational Statistics · doi:10.1007/bf02741321 · Cited by 1,087 · see citing works
Deep Brain Stimulation to Reward Circuitry Alleviates Anhedonia in Refractory Major Depression
Schlaepfer, T. E., Cohen, M. X., Frick, C., Kosel, M., Brodesser, D., Axmacher, N., Joe, A. Y., Kreft, M., Lenartz, D., & Sturm, V. (2008) · Neuropsychopharmacology · doi:10.1038/sj.npp.1301408 · Cited by 1,027 · see citing works
A selective role for dopamine in stimulus-reward learning
Flagel, S. B., Clark, J. J., Robinson, T. E., Mayo, L., Czuj, A., Willuhn, I., Akers, C. A., Clinton, S. M., Phillips, P. E. M., & Akil, H. (2011) · Nature · doi:10.1038/nature09588 · Cited by 1,026 · see citing works
Dopamine responses comply with basic assumptions of formal learning theory
Waelti, P., Dickinson, A., & Schultz, W. (2001) · Nature · doi:10.1038/35083500 · Cited by 1,018 · see citing works
Anticipatory and consummatory components of the experience of pleasure: A scale development study
Gard, D. E., Gard, M. G., Kring, A. M., & John, O. P. (2006) · Journal of Research in Personality · doi:10.1016/j.jrp.2005.11.001 · Cited by 1,015 · see citing works
A meta-analysis of emotional reactivity in major depressive disorder
Bylsma, L. M., Morris, B. H., & Rottenberg, J. (2008) · Clinical Psychology Review · doi:10.1016/j.cpr.2007.10.001 · Cited by 933 · see citing works
Bewernick, B. H., Hurlemann, R., Matusch, A., Kayser, S., Grubert, C., Hadrysiewicz, B., Axmacher, N., Lemke, M., Cooper-Mahkorn, D., Cohen, M. X., et al. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.09.013 · Cited by 865 · see citing works
Neuromodulation: acetylcholine and memory consolidation
Hasselmo, M. E. (1999) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(99)01365-0 · Cited by 809 · see citing works
Reduced hedonic capacity in major depressive disorder: evidence from a probabilistic reward task
Pizzagalli, D. A., Iosifescu, D., Hallett, L. A., Ratner, K. G., & Fava, M. (2008) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2008.03.001 · Cited by 780 · see citing works
Self-citationToward an objective characterization of an anhedonic phenotype: A signal-detection approach
Pizzagalli, D. A., Jahn, A. L., & O’Shea, J. P. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.11.026 · Cited by 738 · see citing works
Self-citationPeciña, S., & Berridge, K. C. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2329-05.2005 · Cited by 671 · see citing works
BOLD responses reflecting dopaminergic signals in the human ventral tegmental area
D'Ardenne, K., McClure, S. M., Nystrom, L. E., & Cohen, J. D. (2008) · Science · doi:10.1126/science.1150605 · Cited by 661 · see citing works
Adaptive gain and the role of the locus coeruleus–norepinephrine system in optimal performance
Aston‐Jones, G., & Cohen, J. D. (2005) · The Journal of Comparative Neurology · doi:10.1002/cne.20723 · Cited by 630 · see citing works
Swendsen, J. D., Conway, K. P., Degenhardt, L. J., Glantz, M. D., Jin, R., Merikangas, K. R., Sampson, N. A., & Kessler, R. C. (2010) · Addiction · doi:10.1111/j.1360-0443.2010.02902.x · Cited by 599 · see citing works
Dopaminergic modulation of limbic and cortical drive of nucleus accumbens in goal-directed behavior
Goto, Y., & Grace, A. A. (2005) · Nature Neuroscience · doi:10.1038/nn1471 · Cited by 576 · see citing works
Reward and Punishment Processing in Depression
Eshel, N., & Roiser, J. P. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.01.027 · Cited by 575 · see citing works
Gelder, M. (1983) · Cited by 557 · see citing works
Parkinson, J. A., Olmstead, M. C., Burns, L. H., Robbins, T. W., & Everitt, B. J. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-06-02401.1999 · Cited by 555 · see citing works
Neural Responses to Monetary Incentives in Major Depression
Knutson, B., Bhanji, J. P., Cooney, R. E., Atlas, L. Y., & Gotlib, I. H. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.07.023 · Cited by 496 · see citing works
Learning and selective attention
Dayan, P., Kakade, S., & Montague, P. R. (2000) · Nature Neuroscience · doi:10.1038/81504 · Cited by 495 · see citing works
Self-citationΔFosB in brain reward circuits mediates resilience to stress and antidepressant responses
Vialou, V., Robison, A. J., LaPlant, Q. C., Covington, H. E., Dietz, D. M., Ohnishi, Y. N., Mouzon, E., Rush, A. J., Watts, E. L., Wallace, D. L., et al. (2010) · Nature Neuroscience · doi:10.1038/nn.2551 · Cited by 479 · see citing works
Frank, M. J., & O'Reilly, R. C. (2006) · Behavioral Neuroscience · doi:10.1037/0735-7044.120.3.497 · Cited by 472 · see citing works
Huys, Q. J. M., Eshel, N., O'Nions, E., Sheridan, L., Dayan, P., & Roiser, J. P. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002410 · Cited by 439 · see citing works
Self-citationDisentangling the Roles of Approach, Activation and Valence in Instrumental and Pavlovian Responding
Huys, Q. J. M., Cools, R., Gölzer, M., Friedel, E., Heinz, A., Dolan, R. J., & Dayan, P. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002028 · Cited by 415 · see citing works
Self-citationThe Occurrence of Depression in Parkinson's Disease
Tandberg, E. (1996) · Archives of Neurology · doi:10.1001/archneur.1996.00550020087019 · Cited by 413 · see citing works
Myin‐Germeys, I., Peeters, F., Havermans, R., Nicolson, N. A., DeVries, M. W., Delespaul, P., & Van Os, J. (2003) · Acta Psychiatrica Scandinavica · doi:10.1034/j.1600-0447.2003.02025.x · Cited by 400 · see citing works
Decreased responsiveness to reward in depression
Henriques, J. B., & Davidson, R. J. (2000) · Cognition & Emotion · doi:10.1080/02699930050117684 · Cited by 399 · see citing works
The Ventral Pallidum and Hedonic Reward: Neurochemical Maps of Sucrose “Liking” and Food Intake
Smith, K. S., & Berridge, K. C. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.1902-05.2005 · Cited by 391 · see citing works
Akiskal, H. S., & McKinney, W. T. (1973) · Science · doi:10.1126/science.182.4107.20 · Cited by 389 · see citing works
Emotional reactivity to daily events in major and minor depression.
Bylsma, L. M., Taylor-Clift, A., & Rottenberg, J. (2011) · Journal of Abnormal Psychology · doi:10.1037/a0021662 · Cited by 388 · see citing works
The Role of Learning in the Operation of Motivational Systems
Dickinson, A., & Balleine, B. W. (2002) · Wiley eBooks · doi:10.1002/0471214426.pas0312 · Cited by 387 · see citing works
Abnormal temporal difference reward-learning signals in major depression
Kumar, P., Waiter, G., Ahearn, T., Milders, M., Reid, I., & Steele, J. D. (2008) · Brain · doi:10.1093/brain/awn136 · Cited by 374 · see citing works
Acute stress reduces reward responsiveness: Implications for depression
Bogdan, R., & Pizzagalli, D. A. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.03.037 · Cited by 364 · see citing works
Self-citationDi Ciano, P., Cardinal, R. N., Cowell, R. A., Little, S. J., & Everitt, B. J. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-23-09471.2001 · Cited by 354 · see citing works
Cognitive functions of the basal forebrain
Baxter, M. G., & Chiba, A. A. (1999) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(99)80024-5 · Cited by 351 · see citing works
Role of the dopaminergic system in depression
Kapur, S., & Mann, J. J. (1992) · Biological Psychiatry · doi:10.1016/0006-3223(92)90137-o · Cited by 350 · see citing works
Dysregulation of Endogenous Opioid Emotion Regulation Circuitry in Major Depression in Women
Kennedy, S. E., Koeppe, R. A., Young, E. A., & Zubieta, J. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.11.1199 · Cited by 339 · see citing works
fMRI of alterations in reward selection, anticipation, and feedback in major depressive disorder
Smoski, M. J., Felder, J., Bizzell, J., Green, S. R., Ernst, M., Lynch, T. R., & Dichter, G. S. (2009) · Journal of Affective Disorders · doi:10.1016/j.jad.2009.01.034 · Cited by 328 · see citing works
Dissociation of Pavlovian and instrumental incentive learning under dopamine antagonists.
Dickinson, A., Smith, J. W., & Mirenowicz, J. (2000) · Behavioral Neuroscience · doi:10.1037//0735-7044.114.3.468 · Cited by 312 · see citing works
The Biochemical Basis of Neuropharmacology
Cooper, J. R., Bloom, F. E., & Roth, R. H. (2002) · doi:10.1093/oso/9780195140071.001.0001 · Cited by 310 · see citing works
Grant, B. F. (1995) · Journal of Substance Abuse · doi:10.1016/0899-3289(95)90017-9 · Cited by 306 · see citing works
Correlated Coding of Motivation and Outcome of Decision by Dopamine Neurons
Satoh, T., Nakai, S., Sato, T., & Kimura, M. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-30-09913.2003 · Cited by 298 · see citing works
The role of dopamine in the mechanism of action of antidepressant drugs
D’Aquila, P. S., Collu, M., Gessa, G. L., & Serra, G. (2000) · European Journal of Pharmacology · doi:10.1016/s0014-2999(00)00566-5 · Cited by 290 · see citing works
Parkinson, J. A., Dalley, J. W., Cardinal, R. N., Bamford, A., Fehnert, B., Lachenal, G., Rudarakanchana, N., Halkerston, K. M., Robbins, T. W., & Everitt, B. J. (2002) · Behavioural Brain Research · doi:10.1016/s0166-4328(02)00291-7 · Cited by 288 · see citing works
Dopamine, behavioral economics, and effort
Salamone, J. D. (2009) · Frontiers in Behavioral Neuroscience · doi:10.3389/neuro.08.013.2009 · Cited by 277 · see citing works
Dopamine restores reward prediction errors in old age
Chowdhury, R., Guitart‐Masip, M., Lambert, C., Dayan, P., Huys, Q. J. M., Düzel, E., & Dolan, R. J. (2013) · Nature Neuroscience · doi:10.1038/nn.3364 · Cited by 267 · see citing works
Self-citationBlunted response to feedback information in depressive illness
Steele, J. D., Kumar, P., & Ebmeier, K. P. (2007) · Brain · doi:10.1093/brain/awm150 · Cited by 261 · see citing works
Selective recall of positive and negative feedback, self-control behaviors, and depression.
Nelson, R. E., & Craighead, W. E. (1977) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.86.4.379 · Cited by 256 · see citing works
Dissociation of Pavlovian and instrumental incentive learning under dopamine antagonists.
Dickinson, A., Smith, J. W., & Mirenowicz, J. (2000) · Behavioral Neuroscience · doi:10.1037/0735-7044.114.3.468 · Cited by 249 · see citing works
Tremblay, L. K., Naranjo, C. A., Cardenas, L., Herrmann, N., & Busto, U. E. (2002) · Archives of General Psychiatry · doi:10.1001/archpsyc.59.5.409 · Cited by 229 · see citing works
Novel Drugs and Therapeutic Targets for Severe Mood Disorders
Mathew, S. J., Manji, H. K., & Charney, D. S. (2008) · Neuropsychopharmacology · doi:10.1038/sj.npp.1301652 · Cited by 222 · see citing works
Pizzagalli, D. A., Evins, A. E., Schetter, E. C., Frank, M. J., Pajtas, P. E., Santesso, D. L., & Culhane, M. (2008) · Psychopharmacology · doi:10.1007/s00213-007-0957-y · Cited by 219 · see citing works
Self-citationGuitart-Masip, M., Fuentemilla, L., Bach, D. R., Huys, Q. J. M., Dayan, P., Dolan, R. J., & Duzel, E. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.6376-10.2011 · Cited by 216 · see citing works
Self-citationReward fails to alter response bias in depression.
Henriques, J. B., Glowacki, J. M., & Davidson, R. J. (1994) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.103.3.460 · Cited by 215 · see citing works
(2006) · PubMed · Cited by 207 · see citing works
Papp, M., Klimek, V., & Willner, P. (1994) · Psychopharmacology · doi:10.1007/bf02245566 · Cited by 202 · see citing works
Presynaptic regulation of dopaminergic neurotransmission
Schmitz, Y., Benoit‐Marand, M., Gonon, F., & Sulzer, D. L. (2003) · Journal of Neurochemistry · doi:10.1046/j.1471-4159.2003.02050.x · Cited by 198 · see citing works
Chase, H., Frank, M., Michael, A., Bullmore, E., Sahakian, B., & Robbins, T. (2009) · Psychological Medicine · doi:10.1017/s0033291709990468 · Cited by 194 · see citing works
Pizzagalli, D. A., Davis, E., Ostacher, M. J., Iosifescu, D. V., & Perlis, R. H. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.12.001 · Cited by 188 · see citing works
Self-citationSensitivity to Reward Frequency in Boys With Attention Deficit Hyperactivity Disorder
Tripp, G., & Alsop, B. (1999) · Journal of Clinical Child Psychology · doi:10.1207/s15374424jccp280309 · Cited by 183 · see citing works
Berlin, I., Givry-Steiner, L., Lecrubier, Y., & Puech, A. (1998) · European Psychiatry · doi:10.1016/s0924-9338(98)80048-5 · Cited by 178 · see citing works
Unipolar depression does not moderate responses to the Sweet Taste Test
Dichter, G. S., Smoski, M. J., Kampov-Polevoy, A. B., Gallop, R., & Garbutt, J. C. (2010) · Depression and Anxiety · doi:10.1002/da.20690 · Cited by 175 · see citing works
Reward fails to alter response bias in depression.
Henriques, J. B., Glowacki, J. M., & Davidson, R. J. (1994) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.103.3.460 · Cited by 172 · see citing works
Elliott, R., Sahakian, B. J., Michael, A., Paykel, E. S., & Dolan, R. J. (1998) · Psychological Medicine · doi:10.1017/s0033291798006709 · Cited by 168 · see citing works
Piercey, M. F., Hoffmann, W. E., Smith, M., & Hyslop, D. K. (1996) · European Journal of Pharmacology · doi:10.1016/0014-2999(96)00454-2 · Cited by 167 · see citing works
Selective recall of positive and negative feedback, self-control behaviors, and depression.
Nelson, R. E., & Craighead, W. E. (1977) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.86.4.379 · Cited by 165 · see citing works
International Classification of Diseases
Lutz, R., Kleva, C. S., & Keeley, J. W. (2024) · doi:10.4135/9781071886229.n237 · Cited by 165 · see citing works
A ‘crash’ course on psychostimulant withdrawal as a model of depression
Barr, A. M., Markou, A., & Phillips, A. G. (2002) · Trends in Pharmacological Sciences · doi:10.1016/s0165-6147(02)02086-2 · Cited by 156 · see citing works
Contemporary theories of depression: critique and comparison.
Blaney, P. (1977) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.86.3.203 · Cited by 144 · see citing works
Depression: Loss of reinforcers of loss of reinforcer effectiveness?
Costello, C. G. (1972) · Behavior Therapy · doi:10.1016/s0005-7894(72)80084-4 · Cited by 142 · see citing works
Santesso, D. L., Evins, A. E., Frank, M. J., Schetter, E. C., Bogdan, R., & Pizzagalli, D. A. (2008) · Human Brain Mapping · doi:10.1002/hbm.20642 · Cited by 141 · see citing works
Self-citationContemporary theories of depression: Critique and comparison.
Blaney, P. H. (1977) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.86.3.203 · Cited by 139 · see citing works
How Linear are Auditory Cortical Responses
Sahani, M., & Linden, J. F. (2002) · UCL Discovery (University College London) · Cited by 133 · see citing works
Haeffel, G. J., Abramson, L. Y., Brazy, P. C., Shah, J. Y., Teachman, B. A., & Nosek, B. A. (2006) · Behaviour Research and Therapy · doi:10.1016/j.brat.2006.09.003 · Cited by 130 · see citing works
Effect of antidepressants on striatal and accumbens extracellular dopamine levels
Ichikawa, J., & Meltzer, H. Y. (1995) · European Journal of Pharmacology · doi:10.1016/0014-2999(95)00264-l · Cited by 121 · see citing works
Shorter Oxford Textbook of Psychiatry
Ford, P. (2011) · Occupational Medicine · doi:10.1093/occmed/kqq186 · Cited by 114 · see citing works
Short- and Long-Term Functional Consequences of Fluoxetine Exposure During Adolescence in Male Rats
Iñiguez, S. D., Warren, B. L., & Bolaños‐Guzmán, C. A. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.12.033 · Cited by 104 · see citing works
Are computational models of any use to psychiatry?
Huys, Q. J. M., Moutoussis, M., & Williams, J. H. (2011) · Neural Networks · doi:10.1016/j.neunet.2011.03.001 · Cited by 102 · see citing works
Self-citationSerotonin-Dopamine Interactions in the Control of Conditioned Reinforcement and Motor Behavior
Sasaki‐Adams, D. (2001) · Neuropsychopharmacology · doi:10.1016/s0893-133x(01)00240-8 · Cited by 98 · see citing works
Murschall, A., & Hauber, W. (2006) · Learning & Memory · doi:10.1101/lm.127106 · Cited by 97 · see citing works
Bogdan, R., Santesso, D. L., Fagerness, J. A., Perlis, R. H., & Pizzagalli, D. A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2661-11.2011 · Cited by 93 · see citing works
Self-citationDefining melancholia: the primacy of psychomotor disturbance
Parker, G. B. (2007) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2007.00959.x · Cited by 87 · see citing works
In vivo binding of 3H-pimozide in mouse striatum: Effects of dopamine agonists and antagonists
Baudry, M., Martres, M., & Schwartz, J. (1977) · Life Sciences · doi:10.1016/0024-3205(77)90116-3 · Cited by 77 · see citing works
Garriock, H. A., Tanowitz, M., Kraft, J. B., Dang, V. C., Peters, E. J., Jenkins, G. D., Reinalda, M. S., McGrath, P. J., von Zastrow, M., Slager, S. L., et al. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2009.08081167 · Cited by 64 · see citing works
Lex, B., & Hauber, W. (2010) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2009.11.002 · Cited by 61 · see citing works
Role of dopamine in non-depressed patients with a history of suicide attempts
Pitchot, W., Hansenne, M., & Ansseau, M. (2001) · European Psychiatry · doi:10.1016/s0924-9338(01)00601-0 · Cited by 61 · see citing works
Samuels, E. R., Hou, R. H., Langley, R. W., Szabadi, E., & Bradshaw, C. M. (2006) · Journal of Psychopharmacology · doi:10.1177/0269881106060770 · Cited by 47 · see citing works
Reduced dopaminergic activity in depressed suicides
Pitchot, W., Reggers, J., Pinto, E., Hansenne, M., Fuchs, S., Pirard, S., & Ansseau, M. (2001) · Psychoneuroendocrinology · doi:10.1016/s0306-4530(00)00047-0 · Cited by 45 · see citing works
Neural predictive error signal correlates with depressive illness severity in a game paradigm
Steele, J. D., Meyer, M. E., & Ebmeier, K. P. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.04.023 · Cited by 42 · see citing works
Behavioural and neurochemical studies on apomorphine-induced hypomotility in mice
Sumners, C., Vries, J. B. D., & Horn, A. S. (1981) · Neuropharmacology · doi:10.1016/0028-3908(81)90065-4 · Cited by 37 · see citing works
A Model of Antipsychotic Action in Conditioned Avoidance: A Computational Approach
Smith, A., Li, M., Becker, S., & Kapur, S. (2004) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300414 · Cited by 36 · see citing works
Samuels, E. R., Hou, R., Langley, R. W., Szabadi, E., & Bradshaw, C. (2006) · Psychopharmacology · doi:10.1007/s00213-006-0443-y · Cited by 36 · see citing works
Autoreceptors mediate the inhibition of dopamine synthesis by bromocriptine and lisuride in rats
Tissari, A. H., Rossetti, Z. L., Meloni, M., FRAU, M., & Gessa, G. L. (1983) · European Journal of Pharmacology · doi:10.1016/0014-2999(83)90171-1 · Cited by 34 · see citing works
Fuller, R. W., Clemens, J. A., & Hynes, M. D. (1982) · PubMed · Cited by 30 · see citing works
Fuller, R. W., Clemens, J. A., & Hynes, M. D. (1982) · Journal of Clinical Psychopharmacology · doi:10.1097/00004714-198212000-00002 · Cited by 28 · see citing works
Paradoxical enhancement of choice reaction time performance in patients with major depression
Chase, H. W., Michael, A., Bullmore, E. T., Sahakian, B. J., & Robbins, T. W. (2009) · Journal of Psychopharmacology · doi:10.1177/0269881109104883 · Cited by 25 · see citing works
Samuels, E. R., Hou, R. H., Langley, R. W., Szabadi, E., & Bradshaw, C. M. (2007) · British Journal of Clinical Pharmacology · doi:10.1111/j.1365-2125.2007.02938.x · Cited by 20 · see citing works
Reinforcers and control : towards a computational aetiology of depression
Huys, Q. J. M. (2007) · UCL Discovery (University College London) · Cited by 16 · see citing works
Self-citationP: Psychiatry: Insights into depression through normative decision-making models
Huys, Q. J. M., Vogelstein, J. T., & Dayan, P. (2009) · Cited by 16 · see citing works
Self-citationShorter Oxford Textbook of Psychiatry
Harrison, P., Cowen, P., Fazel, M., & Bhui, K. (2026) · Oxford University Press eBooks · doi:10.1093/med/9780192871053.001.0001
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Computational psychiatry as a bridge from neuroscience to clinical applications
Huys, Q. J. M., Maia, T. V., & Frank, M. J. (2016) · Nature Neuroscience · doi:10.1038/nn.4238 · Cited by 1,002 · see citing works
Self-citationNeuroscience of apathy and anhedonia: a transdiagnostic approach
Husain, M., & Roiser, J. P. (2018) · Nature reviews. Neuroscience · doi:10.1038/s41583-018-0029-9 · Cited by 642 · see citing works
Reward Processing in Depression: A Conceptual and Meta-Analytic Review Across fMRI and EEG Studies
Keren, H., O’Callaghan, G., Vidal-Ribas, P., Buzzell, G. A., Brotman, M. A., Leibenluft, E., Pan, P. M., Meffert, L., Kaiser, A., Wolke, S., et al. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.17101124 · Cited by 521 · see citing works
The orbitofrontal cortex: reward, emotion and depression
Rolls, E. T., Cheng, W., & Feng, J. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa196 · Cited by 474 · see citing works
The neurobiology of interoception in health and disease
Quadt, L., Critchley, H., & Garfinkel, S. N. (2018) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13915 · Cited by 447 · see citing works
Mood as representation of momentum
Eldar, E., Rutledge, R. B., Dolan, R. J., & Niv, Y. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.07.010 · Cited by 383 · see citing works
Hassani, S. A., Oemisch, M., Balcarras, M., Westendorff, S., Ardid, S., van der Meer, M. A. A., Tiesinga, P. H. E., & Womelsdorf, T. (2017) · Scientific Reports · doi:10.1038/srep40606 · Cited by 363 · see citing works
Dysfunctional reward processing in depression
Admon, R., & Pizzagalli, D. A. (2015) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2014.12.011 · Cited by 343 · see citing works
Self-citationWang, X., & Krystal, J. H. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.018 · Cited by 309 · see citing works
Computational psychiatry: towards a mathematically informed understanding of mental illness
Adams, R. A., Huys, Q. J. M., & Roiser, J. P. (2015) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2015-310737 · Cited by 285 · see citing works
Self-citationThe C factor: cognitive dysfunction as a transdiagnostic dimension in psychopathology
Abramovitch, A., Short, T., & Schweiger, A. (2021) · Clinical Psychology Review · doi:10.1016/j.cpr.2021.102007 · Cited by 269 · see citing works
Anxiety, Depression, and Decision Making: A Computational Perspective
Bishop, S. J., & Gagne, C. (2018) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-080317-062007 · Cited by 240 · see citing works
Reinforcement learning in depression: a review of computational research
Chen, C., Takahashi, T., Nakagawa, S., Inoue, T., & Kusumi, I. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.05.005 · Cited by 233 · see citing works
Why not try harder? Computational approach to motivation deficits in neuro-psychiatric diseases
Pessiglione, M., Vinckier, F., Bouret, S., Jean Daunizeau, A., & Bouc, R. L. (2017) · Brain · doi:10.1093/brain/awx278 · Cited by 230 · see citing works
Neuromodulatory Systems and Their Interactions: A Review of Models, Theories, and Experiments
Avery, M. C., & Krichmar, J. L. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00108 · Cited by 231 · see citing works
Reward-Processing Behavior in Depressed Participants Relative to Healthy Volunteers
Halahakoon, D. C., Kieslich, K., O’Driscoll, C., Nair, A., Lewis, G., & Roiser, J. P. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.2139 · Cited by 222 · see citing works
On what motivates us: a detailed review of intrinsic v. extrinsic motivation
Morris, L. S., Grehl, M. M., Rutter, S., Mehta, M., & Westwater, M. L. (2022) · Psychological Medicine · doi:10.1017/s0033291722001611 · Cited by 226 · see citing works
Depression: a decision-theoretic analysis
Huys, Q. J. M., Daw, N. D., & Dayan, P. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-033928 · Cited by 221 · see citing works
Self-citationAssociation of neural and emotional impacts of reward prediction errors with major depression
Rutledge, R. B., Moutoussis, M., Smittenaar, P., Zeidman, P., Taylor, T., Hrynkiewicz, L., Lam, J., Skandali, N., Siegel, J. Z., Ousdal, O. T., et al. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.1713 · Cited by 209 · see citing works
Self-citationModeling Trait Anxiety: From Computational Processes to Personality
Raymond, J. G., Steele, J. D., & Seriès, P. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00001 · Cited by 203 · see citing works
A neurocomputational account of how inflammation enhances sensitivity to punishments versus rewards
Harrison, N. A., Voon, V., Cercignani, M., Cooper, E. A., Pessiglione, M., & Critchley, H. D. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.07.018 · Cited by 185 · see citing works
Anhedonia in depression: biological mechanisms and computational models
Cooper, J. A., Arulpragasam, A. R., & Treadway, M. T. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.01.024 · Cited by 188 · see citing works
Advances in the computational understanding of mental illness
Huys, Q. J. M., Browning, M. D., Paulus, M. P., & Frank, M. J. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0746-4 · Cited by 184 · see citing works
Self-citationReward Processing, Neuroeconomics, and Psychopathology
Zald, D. H., & Treadway, M. T. (2017) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032816-044957 · Cited by 181 · see citing works
Reinforcement Learning in Patients With Mood and Anxiety Disorders vs Control Individuals
Pike, A. C., & Robinson, O. J. (2022) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2022.0051 · Cited by 168 · see citing works
Altered learning under uncertainty in unmedicated mood and anxiety disorders
Aylward, J., Valton, V., Ahn, W., Bond, R. L., Dayan, P., Roiser, J. P., & Robinson, O. J. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0628-0 · Cited by 164 · see citing works
Self-citationComputational Psychiatry Needs Time and Context
Hitchcock, P., Fried, E. I., & Frank, M. J. (2021) · Annual Review of Psychology · doi:10.1146/annurev-psych-021621-124910 · Cited by 135 · see citing works
Neural mechanisms of reinforcement learning in unmedicated patients with major depressive disorder
Rothkirch, M., Tonn, J., Köhler, S., & Sterzer, P. (2017) · Brain · doi:10.1093/brain/awx025 · Cited by 124 · see citing works
Neurobiology and systems biology of stress resilience
Kalisch, R., Russo, S. J., & Müller, M. B. (2024) · Physiological Reviews · doi:10.1152/physrev.00042.2023 · Cited by 137 · see citing works
Griffiths, K. R., Morris, R. W., & Balleine, B. W. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00101 · Cited by 118 · see citing works
Berwian, I. M., Wenzel, J. G., Collins, A. G. E., Seifritz, E., Stephan, K. E., Walter, H., & Huys, Q. J. M. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.4971 · Cited by 113 · see citing works
Self-citationOwens, M., Herbert, J., Jones, P. B., Sahakian, B. J., Wilkinson, P. O., Dunn, V. J., Croudace, T. J., & Goodyer, I. M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1318786111 · Cited by 113 · see citing works
Brown, V. M., Zhu, L., Solway, A., Wang, J. M., McCurry, K. L., King-Casas, B., & Chiu, P. H. (2021) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2021.1844 · Cited by 112 · see citing works
Computational neuroscience approach to biomarkers and treatments for mental disorders
Yahata, N., Kasai, K., & Kawato, M. (2016) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12502 · Cited by 126 · see citing works
Developing treatments for cognitive deficits in schizophrenia: The challenge of translation
Young, J. W., & Geyer, M. (2014) · Journal of Psychopharmacology · doi:10.1177/0269881114555252 · Cited by 110 · see citing works
Identifying Transdiagnostic Mechanisms in Mental Health Using Computational Factor Modeling
Wise, T., Robinson, O. J., & Gillan, C. M. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.09.034 · Cited by 108 · see citing works
“A mega-analysis of a single task (46) suggested that anhedonia was associated with reduced reward sensitivity in clinical samples (i.e., consummatory pleasure) but not with reward learning per se (47).”
Pizzagalli, D. A., Smoski, M. J., Ang, Y., Whitton, A. E., Sanacora, G., Mathew, S. J., Nürnberger, J. I., Lisanby, S. H., Iosifescu, D. V., Murrough, J. W., et al. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0738-4 · Cited by 104 · see citing works
Self-citationNeural Correlates of Three Promising Endophenotypes of Depression: Evidence from the EMBARC Study
Webb, C. A., Dillon, D. G., Pechtel, P., Goer, F. K., Murray, L., Huys, Q. J., Fava, M., McGrath, P. J., Weissman, M., Parsey, R., et al. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2015.165 · Cited by 103 · see citing works
Self-citationCognitive Control in Depression: Toward Clinical Models Informed by Cognitive Neuroscience
Grahek, I., Everaert, J., Krebs, R. M., & Koster, E. H. W. (2018) · Clinical Psychological Science · doi:10.1177/2167702618758969 · Cited by 101 · see citing works
Sheridan, M. A., McLaughlin, K. A., Winter, W., Fox, N., Zeanah, C., & Nelson, C. A. (2018) · Nature Communications · doi:10.1038/s41467-018-04381-8 · Cited by 101 · see citing works
Brain and behavioral correlates of insulin resistance in youth with depression and obesity
Singh, M. K., Leslie, S. M., West, M. P., Zaiko, Y. V., Phillips, O. R., Weisman, E. F., Wall, D. M., Jo, B., & Rasgon, N. (2018) · Hormones and Behavior · doi:10.1016/j.yhbeh.2018.03.009 · Cited by 100 · see citing works
Anticipatory 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 95 · see citing works
Whitton, A. E., Reinen, J., Slifstein, M., Ang, Y., McGrath, P. J., Iosifescu, D. V., Abi‐Dargham, A., Pizzagalli, D. A., & Schneier, F. R. (2020) · Brain · doi:10.1093/brain/awaa002 · Cited by 100 · see citing works
Self-citationGreenberg, T., Chase, H. W., Almeida, J. R., Stiffler, R., Zevallos, C. R., Aslam, H. A., Deckersbach, T., Weyandt, S., Cooper, C., Toups, M., et al. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.14050594 · Cited by 93 · see citing works
Markou, A., Salamone, J. D., Bussey, T. J., Mar, A. C., Brunner, D., Gilmour, G., & Balsam, P. D. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.08.007 · Cited by 93 · see citing works
Affective bias as a rational response to the statistics of rewards and punishments
Pulcu, E., & Browning, M. D. (2017) · eLife · doi:10.7554/elife.27879 · Cited by 88 · see citing works
Crawley, D., Zhang, L., Jones, E. J. H., Ahmad, J., Oakley, B. F. M., Cáceres, A. S. J., Charman, T., Buitelaar, J. K., Murphy, D., Chatham, C. H., et al. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000908 · Cited by 93 · see citing works
The role of learning-related dopamine signals in addiction vulnerability
Huys, Q. J. M., Tobler, P. N., Hasler, G., & Flagel, S. B. (2014) · Progress in brain research · doi:10.1016/b978-0-444-63425-2.00003-9 · Cited by 87 · see citing works
Self-citationInfluences of dopaminergic system dysfunction on late-life depression
Taylor, W. D., Zald, D. H., Felger, J. C., Christman, S., Claassen, D. O., Horga, G., Miller, J. M., Gifford, K., Rogers, B., Szymkowicz, S. M., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01265-0 · Cited by 89 · see citing works
Volatility Estimates Increase Choice Switching and Relate to Prefrontal Activity in Schizophrenia
Deserno, L., Boehme, R., Mathys, C. D., Katthagen, T., Kaminski, J. A., Stephan, K. E., Heinz, A., & Schlagenhauf, F. (2019) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.10.007 · Cited by 80 · see citing works
Nielson, D. M., Keren, H., O’Callaghan, G., Jackson, S. M., Douka, I., Vidal‐Ribas, P., Pornpattananangkul, N., Camp, C., Gorham, L. S., Wei, C. Y., et al. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.06.012 · Cited by 87 · see citing works
Decodability of Reward Learning Signals Predicts Mood Fluctuations
Eldar, E., Roth, C., Dayan, P., & Dolan, R. J. (2018) · Current Biology · doi:10.1016/j.cub.2018.03.038 · Cited by 84 · see citing works
Self-citationEffects of transcranial direct current stimulation for treating depression: A modeling study
Csifcsák, G., Boayue, N. M., Puonti, O., Thielscher, A., & Mittner, M. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.02.077 · Cited by 79 · see citing works
Patients with major depressive disorder exhibit reduced reward size coding in the striatum
Takamura, M., Okamoto, Y., Okada, G., Toki, S., Yamamoto, T., Ichikawa, N., Mori, A., Minagawa, H., Takaishi, Y., Fujii, Y., et al. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.07.006 · Cited by 81 · see citing works
Non-invasive vagus nerve stimulation boosts mood recovery after effort exertion
Ferstl, M., Teckentrup, V., Lin, W. M., Kräutlein, F., Kühnel, A., Klaus, J., Walter, M., & Kroemer, N. B. (2021) · Psychological Medicine · doi:10.1017/s0033291720005073 · Cited by 79 · see citing works
Huys, Q. J. M., Guitart‐Masip, M., Dolan, R. J., & Dayan, P. (2015) · Clinical Psychological Science · doi:10.1177/2167702614562040 · Cited by 81 · see citing works
Self-citationBlunted medial prefrontal cortico-limbic reward-related effective connectivity and depression
Rupprechter, S., Romaniuk, L., Series, P., Hirose, Y., Hawkins, E., Sandu, A.-L., Waiter, G. D., McNeil, C. J., Shen, X., Harris, M. A., et al. (2020) · Brain · doi:10.1093/brain/awaa106 · Cited by 80 · see citing works
Computational Neuroscience Approach to Psychiatry: A Review on Theory-driven Approaches
Khaleghi, A., Mohammadi, M. R., Shahi, K., & Nasrabadi, A. M. (2022) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2022.20.1.26 · Cited by 82 · see citing works
Hird, E. J., Slanina-Davies, A., Lewis, G., Hamer, M., & Roiser, J. P. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02922-y · Cited by 79 · see citing works
Moutoussis, M., Bullmore, E. T., Goodyer, I. M., Fonagy, P., Jones, P. B., Dolan, R. J., & Dayan, P. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006679 · Cited by 79 · see citing works
Self-citationThe Two Cultures of Computational Psychiatry
Bennett, D., Silverstein, S. M., & Niv, Y. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.0231 · Cited by 79 · see citing works
Emotions as ComputationsPreprint
Emanuel, A., & Eldar, E. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104977 · Cited by 83 · see citing works
Guillot, C. R., Bello, M. S., Tsai, J., Huh, J., Leventhal, A. M., & Sussman, S. Y. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.04.019 · Cited by 76 · see citing works
Liu, W., Roiser, J. P., Wang, L.-Z., Zhu, Y.-H., Huang, J., Neumann, D. L., Shum, D., Cheung, E. F. C., & Chan, R. C. K. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.10.050 · Cited by 78 · see citing works
Kasanova, Z., Ceccarini, J., Frank, M. J., van Amelsvoort, T., Booij, J., Heinzel, A., Mottaghy, F. M., & Myin‐Germeys, I. (2017) · Biological Psychology · doi:10.1016/j.biopsycho.2017.04.014 · Cited by 75 · see citing works
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- Authors
- Huys, Q. J., Pizzagalli, D. A., Bogdan, R., & Dayan, P.
- Affiliations
- Gatsby Computational Neuroscience Unit (GB)
- Harvard University (US)
- Duke University (US)
- Corresponding author
- Huys, Quentin JM
- Venue
- Biology of Mood & Anxiety Disorders
- Published
- 2013-06-19
- Volume
- 3
- Issue
- 1
- Pages
- 12-12
- ISSN
- 2045-5380 (ISSN-L)
- PMC
- PMC3701611
- OpenAlex
- W2157813419
- Cited by
- 480
- References
- 139
- Citations by year
- 2026: 27 · 2025: 42 · 2024: 35 · 2023: 54 · 2022: 50 · 2021: 57 · 2020: 78 · 2019: 20 · 2018: 35 · 2017: 38 · 2016: 14 · 2015: 19 · 2014: 9 · 2013: 2
- FWCI
- 7.20
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Biology of Mood & Anxiety Disorders (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- UCL Discovery (University College London) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Repository for Publications and Research Data (ETH Zurich) (submittedVersion, cc-by)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, cc-by)
- ETH Zürich Research Collection
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- AstraZeneca
- Gatsby Charitable Foundation
- Deutsche Forschungsgemeinschaft
- Servier
- National Institute of Mental Health (R01MH101521, R01MH095809, MH095809, R01MH068376, R21MH078979, MH068376)
- National Center for Complementary and Integrative Health (R21AT002974)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- anhedonia, reinforcement learning, reward sensitivity, prediction error, dopamine, pramipexole, major depressive disorder, bipolar disorder, stress, learning rate, probabilistic reward task, model-based reinforcement learning
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