Depressive symptoms are associated with blunted reward learning in social contexts
Open accessAbstract
Depression is characterized by a marked decrease in social interactions and blunted sensitivity to rewards. Surprisingly, despite the importance of social deficits in depression, non-social aspects have been disproportionally investigated. As a consequence, the cognitive mechanisms underlying atypical decision-making in social contexts in depression are poorly understood. In the present study, we investigate whether deficits in reward processing interact with the social context and how this interaction is affected by self-reported depression and anxiety symptoms in the general population. Two cohorts of subjects (discovery and replication sample: N = 50 each) took part in an experiment involving reward learning in contexts with different levels of social information (absent, partial and complete). Behavioral analyses revealed a specific detrimental effect of depressive symptoms-but not anxiety-on behavioral performance in the presence of social information, i.e. when participants were informed about the choices of another player. Model-based analyses further characterized the computational nature of this deficit as a negative audience effect, rather than a deficit in the way others' choices and rewards are integrated in decision making. To conclude, our results shed light on the cognitive and computational mechanisms underlying the interaction between social cognition, reward learning and decision-making in depressive disorders.
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
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?
People with depression frequently experience anhedonia, which may result in blunted sensitivity to reward.
“People with depression frequently experience anhedonia, which may result in blunted sensitivity to reward [11-15].”
From Examining the effectiveness of gamification in mental health apps for depression: Systematic review and meta-analysis (2021) · cites this paper as [14]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The Hospital Anxiety and Depression Scale
Zigmond, A. S., & Snaith, R. P. (1983) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.1983.tb09716.x · Cited by 47,139 · see citing works
Kytle, J., & Bandura, A. (1978) · Contemporary Sociology · doi:10.2307/2065952 · Cited by 25,422 · see citing works
Conducting Meta-Analyses in <i>R</i> with the <b>metafor</b> Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464 · see citing works
Watkins, C., & Dayan, P. (1992) · Machine-mediated learning · doi:10.1023/a:1022676722315 · Cited by 14,277 · see citing works
Depression and quality of life in older persons: A review
Sivertsen, H., Bjørkløf, G. H., Engedal, K., Selbæk, G., & Helvik, A.-S. (2015) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000437299 · Cited by 14,152 · see citing works
Watkins, C. J. C. H., & Dayan, P. (1992) · Machine Learning · doi:10.1007/bf00992698 · Cited by 9,083 · see citing works
Estimating the reproducibility of psychological science
Open Science Collaboration (2015) · Science · doi:10.1126/science.aac4716 · Cited by 8,515 · see citing works
BANDURA, A. (1977) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.15521699 · Cited by 7,615 · see citing works
Zajonc, R. B. (1965) · Science · doi:10.1126/science.149.3681.269 · Cited by 2,752 · see citing works
Cognitive impairment in depression: a systematic review and meta-analysis
Rock, P. L., Roiser, J. P., Riedel, W. J., & Blackwell, A. D. (2014) · Psychological Medicine · doi:10.1017/s0033291713002535 · Cited by 2,161 · see citing works
The functional basis of face evaluation
Oosterhof, N. N., & Todorov, A. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0805664105 · Cited by 1,819 · see citing works
Laland, K. N. (2004) · Learning & Behavior · doi:10.3758/bf03196002 · Cited by 1,551 · see citing works
Information and its use by animals in evolutionary ecology
Dall, S. R. X., Giraldeau, L., Olsson, O., MCNAMARA, J., & Stephens, D. W. (2005) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2005.01.010 · Cited by 1,359 · see citing works
Using Mechanical Turk to Study Clinical Populations
Shapiro, D. N., Chandler, J., & Mueller, P. A. (2013) · Clinical Psychological Science · doi:10.1177/2167702612469015 · Cited by 1,139 · see citing works
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
Montague, P. R., Dolan, R. J., Friston, K. J., & Dayan, P. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.11.018 · Cited by 809 · see citing works
Toward 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
Social functioning in major depressive disorder
Kupferberg, A., Bicks, L., & Hasler, G. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.002 · Cited by 663 · see citing works
Olsson, A., & Phelps, E. A. (2007) · Nature Neuroscience · doi:10.1038/nn1968 · Cited by 622 · see citing works
Characterizing a psychiatric symptom dimension related to deficits in goal-directed control
Gillan, C. M., Kosinski, M., Whelan, R., Phelps, E. A., & Daw, N. D. (2016) · eLife · doi:10.7554/elife.11305 · Cited by 586 · 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
Mapping anhedonia onto reinforcement learning: a behavioural meta-analysis
Huys, Q. J., Pizzagalli, D. A., Bogdan, R., & Dayan, P. (2013) · Biology of Mood & Anxiety Disorders · doi:10.1186/2045-5380-3-12 · Cited by 480 · see citing works
The Importance of Falsification in Computational Cognitive Modeling
Palminteri, S., Wyart, V., & Koechlin, E. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.03.011 · Cited by 448 · see citing works
Self-citationPrevalence of anxiety disorders and their comorbidity with mood and addictive disorders
Regier, D. A., Rae, D. S., Narrow, W. E., Kaelber, C. T., & Schatzberg, A. F. (1998) · British Journal of Psychiatry · doi:10.1192/s0007125000293483 · Cited by 407 · see citing works
Wigman, J. T. W., van Nierop, M., Vollebergh, W. A. M., Lieb, R., Beesdo-Baum, K., Wittchen, H.-U., & van Os, J. (2012) · Schizophrenia Bulletin · doi:10.1093/schbul/sbr196 · Cited by 392 · see citing works
Neural mechanisms of observational learning
Burke, C. J., Tobler, P. N., Baddeley, M. C., & Schultz, W. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1003111107 · Cited by 356 · see citing works
Core symptoms of major depressive disorder: relevance to diagnosis and treatment
Kennedy, S. H. (2008) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2008.10.3/shkennedy · Cited by 353 · see citing works
Knowing how much you don't know: a neural organization of uncertainty estimates
Bach, D. R., & Dolan, R. J. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3289 · Cited by 339 · see citing works
A Review of the Role of Social Cognition in Major Depressive Disorder
Weightman, M. J., Air, T., & Baune, B. T. (2014) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2014.00179 · Cited by 330 · see citing works
Fried, E. I., van Borkulo, C. D., Epskamp, S., Schoevers, R. A., Tuerlinckx, F., & Borsboom, D. (2016) · Psychological Assessment · doi:10.1037/pas0000275 · Cited by 314 · see citing works
Contextual modulation of value signals in reward and punishment learning
Palminteri, S., Khamassi, M., Joffily, M., & Coricelli, G. (2015) · Nature Communications · doi:10.1038/ncomms9096 · Cited by 273 · see citing works
Self-citation• AN EVOLUTIONARY MODEL OF SOCIAL LEARNING: THE EFFECTS OF SPATIAL AND TEMPORAL VARIATON
Boyd, R. T., & Richerson, P. J. (2013) · Psychology Press eBooks · doi:10.4324/9781315801889-7 · Cited by 237 · 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
Validation of data-driven computational models of social perception of faces.
Todorov, A., Dotsch, R., Porter, J. M., Oosterhof, N. N., & Falvello, V. B. (2013) · Emotion · doi:10.1037/a0032335 · Cited by 226 · see citing works
Learning to Simulate Others' Decisions
Suzuki, S., Harasawa, N., Ueno, K., Gardner, J. L., Ichinohe, N., Haruno, M., Cheng, K., & Nakahara, H. (2012) · Neuron · doi:10.1016/j.neuron.2012.04.030 · Cited by 223 · see citing works
Association 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
Dimensional psychiatry: reward dysfunction and depressive mood across psychiatric disorders
Hägele, C., Schlagenhauf, F., Rapp, M. A., Sterzer, P., Beck, A., Bermpohl, F., Stoy, M., Ströhle, A., Wïttchen, H., Dolan, R. J., et al. (2014) · Psychopharmacology · doi:10.1007/s00213-014-3662-7 · Cited by 191 · see citing works
The Neural Basis of Following Advice
Biele, G., Rieskamp, J., Krugel, L. K., & Heekeren, H. R. (2011) · PLoS Biology · doi:10.1371/journal.pbio.1001089 · Cited by 157 · see citing works
Medin, D., Ojalehto, B., Marin, A., & Bang, M. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0088 · Cited by 146 · 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
An Integrative Interdisciplinary Perspective on Social Dominance Hierarchies
Qu, C., Ligneul, R., der Henst, J. V., & Dreher, J. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.08.004 · Cited by 111 · see citing works
Taking Psychiatry Research Online
Gillan, C. M., & Daw, N. D. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.002 · Cited by 110 · see citing works
Saka, N. T. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-5812-2.ch006 · Cited by 110 · see citing works
Dynamical Representation of Dominance Relationships in the Human Rostromedial Prefrontal Cortex
Ligneul, R., Obeso, I., Ruff, C. C., & Dreher, J. (2016) · Current Biology · doi:10.1016/j.cub.2016.09.015 · Cited by 95 · see citing works
Chevallier, C., Parish‐Morris, J., Tonge, N., Le, L., Miller, J. S., & Schultz, R. T. (2014) · Journal of Experimental Psychology General · doi:10.1037/a0035483 · Cited by 78 · see citing works
Self-citationHerzallah, M. M., Moustafa, A. A., Natsheh, J. Y., Abdellatif, S. M., Taha, M. B., Tayem, Y. I., Sehwail, M. A., Amleh, I., Petrides, G., Myers, C. E., et al. (2013) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2013.00067 · Cited by 77 · see citing works
Erratum: Computational psychiatry
Montague, P. R., Dolan, R. J., Friston, K. J., & Dayan, P. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.04.003 · Cited by 65 · see citing works
Gao, Y., Huang, Y., & Li, X. (2016) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/s10862-016-9556-8 · Cited by 41 · see citing works
Depression and Approach Motivation: Differential Relations to Monetary, Social, and Food Reward
Fussner, L. M., Mancini, K. J., & Luebbe, A. M. (2017) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/s10862-017-9620-z · Cited by 38 · see citing works
I know you can see me: Social attention influences bodily self-awareness
Hazem, N., George, N., Baltazar, M., & Conty, L. (2017) · Biological Psychology · doi:10.1016/j.biopsycho.2017.01.007 · Cited by 37 · see citing works
Valuation in major depression is intact and stable in a non-learning environment
Chung, D., Kadlec, K. M., Aimone, J. A., McCurry, K. L., King‐Casas, B., & Chiu, P. H. (2017) · Scientific Reports · doi:10.1038/srep44374 · Cited by 35 · see citing works
Demonstrator skill modulates observational aversive learning
Selbing, I., Lindström, B., & Olsson, A. (2014) · Cognition · doi:10.1016/j.cognition.2014.06.010 · Cited by 29 · see citing works
Measuring social motivation using signal detection and reward responsiveness
Chevallier, C., Tonge, N., Safra, L., Kahn, D., Kohls, G., Miller, J., & Schultz, R. T. (2016) · PLoS ONE · doi:10.1371/journal.pone.0167024 · Cited by 29 · see citing works
Self-citationThe Role of Intelligence in Social Learning
Vostroknutov, A., Polonio, L., & Coricelli, G. (2018) · Scientific Reports · doi:10.1038/s41598-018-25289-9 · Cited by 26 · see citing works
Depression, Nondepression, and Social Comparison Biases
Alloy, L. B., Albright, J. S., & Clements, C. M. (1987) · Springer eBooks · doi:10.1007/978-1-4613-8728-2_8 · Cited by 23 · see citing works
Beliefs about Others’ Abilities Alter Learning from Observation
Selbing, I., & Olsson, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-16307-3 · Cited by 18 · see citing works
Puskaric, M., von Helversen, B., & Rieskamp, J. (2016) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2016.1192209 · Cited by 14 · see citing works
Flagged first, then by citations
1 of the 58 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Six, S. G., Byrne, K. A., Tibbett, T. P., & Pericot-Valverde, I. (2021) · JMIR Mental Health · doi:10.2196/32199 · Cited by 95 · see citing works
“People with depression frequently experience anhedonia, which may result in blunted sensitivity to reward [11-15].”
BackgroundNajar, A., Bonnet, E., Bahrami, B., & Palminteri, S. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3001028 · Cited by 66 · see citing works
“Future research will determine whether or not imitation is impaired in social and nonsocial psychiatric conditions, such as depression, anxiety, autism, and borderline personality disorder, and whether these hypothetical impairments take the form of shifts in its computational implementation and/or model parameters [5…”
BackgroundSelf-citationNegativity-bias in forming beliefs about own abilities
Müller-Pinzler, L., Czekalla, N., Mayer, A. V., Stolz, D. S., Gazzola, V., Keysers, C., Paulus, F. M., & Krach, S. (2019) · Scientific Reports · doi:10.1038/s41598-019-50821-w · Cited by 68 · see citing works
Beta activity in human anterior cingulate cortex mediates reward biases
Xiao, J., Adkinson, J. A., Myers, J. C., Allawala, A. B., Mathura, R. K., Pirtle, V., Najera, R. A., Provenza, N. R., Bartoli, E., Watrous, A. J., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49600-7 · Cited by 41 · see citing works
Computational models of subjective feelings in psychiatryPreprint
Kao, C.-H., Feng, G., Hur, J. K., Jarvis, H., & Rutledge, R. B. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.105008 · Cited by 46 · see citing works
“Social tasks can also lead to selective effects, with higher depression associated with lower learning rates only for choices from a virtual partner but not from choices made by participants (Safra et al., 2019).”
Backgroundvan Eijndhoven, P., Collard, R. M., Vrijsen, J. N., Geurts, D. E. M., Vásquez, A. A., Schellekens, A., van den Munckhof, E., Brolsma, S. C. A., Duyser, F. A., Bergman, M. A., et al. (2021) · JMIRx Med · doi:10.2196/31269 · Cited by 34 · see citing works
“For example, previous studies have found reduced learning from reward in mood disorders [26-29].”
ResultBrolsma, S. C. A., Vrijsen, J. N., Vassena, E., Kandroodi, M. R., Bergman, M. A., van Eijndhoven, P., Collard, R. M., den Ouden, H. E. M., Schene, A. H., & Cools, R. (2020) · Psychological Medicine · doi:10.1017/s0033291720001956 · Cited by 27 · see citing works
Vandendriessche, H., Demmou, A., Bavard, S., Yadak, J., Lemogne, C., Mauras, T., & Palminteri, S. (2022) · Psychological Medicine · doi:10.1017/s0033291722001593 · Cited by 19 · see citing works
Self-citationZühlsdorff, K., López‐Cruz, L., Dutcher, E. G., Jones, J. A., Pama, C., Sawiak, S. J., Khan, S. A., Milton, A. L., Robbins, T. W., Bullmore, E. T., et al. (2022) · Neurobiology of Stress · doi:10.1016/j.ynstr.2022.100507 · Cited by 15 · see citing works
Borland, J. M. (2025) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2025.101175 · Cited by 12 · see citing works
Brolsma, S. C. A., Vassena, E., Vrijsen, J. N., Sescousse, G., Collard, R. M., van Eijndhoven, P., Schene, A. H., & Cools, R. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.08.011 · Cited by 12 · see citing works
A systematic review of computational modeling of interpersonal dynamics in psychopathology
Zavlis, O., Story, G. W., Friedrich, C., Fonagy, P., & Moutoussis, M. (2025) · Nature Mental Health · doi:10.1038/s44220-025-00465-9 · Cited by 11 · see citing works
“Disorder-specific findings mirrored these patterns by showing that depression is typified by overly rigid social learning (the extreme of low self-esteem) 44,45 while paranoia is associated with overly uncertain social learning (the extreme opposite of credulity) 46 .”
InfluentialCzekalla, N., Schröder, A., Mayer, A. V., Stierand, J., Stolz, D. S., Κube, T., Korn, C. W., Wilhelm, I., Klein, J. P., Paulus, F. M., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.09.593087 · Cited by 10 · see citing works
An active inference approach to interpersonal differences in depression
Kirchner, L., Eckert, A.-L., Berg, M., Endres, D., Straube, B., & Rief, W. (2024) · New Ideas in Psychology · doi:10.1016/j.newideapsych.2024.101092 · Cited by 9 · see citing works
Examining the effect of depressive symptoms on habit formation and habit-breaking
Byrne, K. A., Six, S., & Willis, H. C. (2021) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2021.101676 · Cited by 9 · see citing works
Chetcuti, L., Hardan, A. Y., Spackman, E. K., Frazier, T. W., Youngstrom, E. A., & Uljarević, M. (2024) · JAACAP Open · doi:10.1016/j.jaacop.2024.09.007 · Cited by 8 · see citing works
“Yet, studies conducted at behavioral and neurobiological levels have reported disrupted integration of social reward signals (eg, positive emotional expressions) and alterations in brain regions associated with reward learning in ASD, 42 affective disorders, 43 and the psychosis spectrum.”
Integration of social cues and individual experiences during instrumental avoidance learning
Pärnamets, P., & Olsson, A. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008163 · Cited by 8 · see citing works
“Social information in instrumental learning tasks is instead commonly represented by indicating the choice of a confederate demonstrator, sometimes coupled with an image of the demonstrator [8, 9] and sometimes without [17, 18].”
Horne, K., Saraiva, L. D. A., de Souza, L. C., & Irish, M. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106128 · Cited by 5 · see citing works
“For example, severity of depressive symptoms has been associated with reduced social reward learning on a probabilistic instrumental learning task (Safra et al., 2019).”
Imitation as a model-free process in human reinforcement learningPreprint
Najar, A., Bonnet, E., Bahrami, B., & Palminteri, S. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/797407 · Cited by 4 · see citing works
“…whether or not imitation is impaired in social and non-social psychiatric conditions, such as depression, anxiety, autism and borderline personality disorder, and whether these hypothetical impairments take the form of shifts in its computational implementation and/or model parameters (42).”
BackgroundSelf-citationOld strategies, new environments: Reinforcement Learning on social mediaPreprint
Turner, G., Ferguson, A. M., Katiyar, T., Palminteri, S., & Orben, A. C. (2024) · doi:10.31234/osf.io/f5cjv · Cited by 4 · see citing works
Self-citationDepression is associated with higher sensitivity to social media rewardsPreprint
Mirea, D.-M., Mildner, J. N., Kelley, S., Gillan, C. M., Nook, E. C., & Niv, Y. (2024) · doi:10.31234/osf.io/4ynbc · Cited by 4 · see citing works
Adaptive learning strategies in purely observational learning
Xu, Y., Guo, W., Huang, G., & Qu, C. (2022) · Current Psychology · doi:10.1007/s12144-022-03904-3 · Cited by 3 · see citing works
“…and IL provides more meaningful information than in AL without feedback, which support that the quantity (or the comprehensiveness) of meaningful information has an impact on the learning performance (Burke et al., 2010; Rodriguez Buritica et al., 2016; Safra et al., 2019; Selbing et al., 2014).”
BackgroundKolobaric, A., Mizuno, A. N., Yang, X., George, C. J., Seidman, A. J., Aizenstein, H. J., Kovács, M., & Karim, H. T. (2023) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2023.03.026 · Cited by 3 · see citing works
Vilca, L. W., Chambi-Mamani, E. L., Quispe-Kana, E. D., López, M. H., & Caycho‐Rodríguez, T. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191610062 · Cited by 3 · see citing works
“and less sensitivity to perceive positive environmental reinforcement [72,73].”
BackgroundHow generalization relates to the exploration-exploitation tradeoff
Houser, T. M. (2023) · Frontiers in Cognition · doi:10.3389/fcogn.2023.1132766 · Cited by 3 · see citing works
Vilca, L. W., Echabaudes-Ilizarbe, R. I., Aquino-Hidalgo, J. M., Ventura‐León, J., Martinez‐Munive, R., & White, M. (2020) · Psychological Reports · doi:10.1177/0033294120981930 · Cited by 3 · see citing works
Better Safe than Sorry? - An Active Inference Approach to Biased Social Inference in DepressionPreprint
Kirchner, L., Eckert, A.-L., Berg, M., Endres, D., Straube, B., & Rief, W. (2022) · doi:10.31234/osf.io/bp9re · Cited by 4 · see citing works
Zhao, X., Hu, J., Liu, M., Li, Q., & Yang, Q. (2024) · Behaviour Research and Therapy · doi:10.1016/j.brat.2024.104664 · Cited by 2 · see citing works
Chetcuti, L., Hardan, A. Y., Frazier, T. W., Loth, E., McPartland, J. C., Youngstrom, E. A., & Uljarević, M. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03185-9 · Cited by 2 · see citing works
“…with more consistent fi ndings in MDD. Lastly, there is emerging evidence of dif fi culties learning from social feedback in schizophrenia [78, 80, 81] and MDD [82, 83] compared to non-clinical control subjects, with one study indicating greater impairments in schizophrenia compared to MDD [84].”
Suzuki, S., & Katahira, K. (2025) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-032-00880-0_14 · Cited by 2 · see citing works
Depression impairs metacognitive biases, but not learningPreprint
Sax, A.-L., Baddeley, R., & Costa, R. P. (2023) · doi:10.31234/osf.io/9a7y8 · Cited by 2 · see citing works
Computational Modeling of Basic Cognitive Functionalities
(2023) · Cambridge University Press eBooks · doi:10.1017/9781108755610.014 · Cited by 1 · see citing works
Doya, K. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-15754-7.00088-2 · Cited by 1 · see citing works
A Hierarchical Bayesian Implementation of the Experience-Weighted Attraction Model
Zhang, Z., Chandra, S., Kayser, A. S., Hsu, M., & Warren, J. L. (2020) · Computational Psychiatry · doi:10.1162/cpsy_a_00028
“For example, such computational approaches have been used to investigate the maintenance of cooperation in patients with borderline personality disorder (King-Casas et al., 2008) and the influence of depressive symptomatology on learning from social rewards (Safra, Chevallier, & Palminteri, 2019).”
Integration of social cues and individual experiences during instrumental avoidance learningPreprint
Pärnamets, P., & Olsson, A. (2019) · doi:10.31234/osf.io/c25sz · Cited by 2 · see citing works
Computational Cognitive Models of Reinforcement Learning
Doya, K. (2023) · Cambridge University Press eBooks · doi:10.1017/9781108755610.026
Ghattas, P., Gamal, M., & Eldawlatly, S. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-43075-6_32
Group Affiliation influences Information Processing in Collective Decision-MakingPreprint
Zein, M. E., & Lefebvre, G. (2023) · doi:10.31219/osf.io/d245t
Elbe, P., Marsh, J. E., Sörman, D. E., Nyberg, L. H., Vega‐Mendoza, M., & Ljungberg, J. K. (2025) · Journal of Cognitive Psychology · doi:10.1080/20445911.2025.2563538
The Reinforcement Effect of Social Media Likes in Depression
Mirea, D.-M., Chen, S., Ding, J., Palacio-Soto, K., Mildner, J. N., Kelley, S. W., Gillan, C. M., Nook, E. C., & Niv, Y. (2026) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2026.1430
- Authors
- Safra, L., Chevallier, C., & Palminteri, S.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Corresponding author
- Safra, Lou
- Palminteri, Stefano
- Venue
- PLOS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2019-07-29
- Volume
- 15
- Issue
- 7
- Pages
- e1007224
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- PMC
- PMC6699715
- OpenAlex
- W2966242103
- Cited by
- 40
- References
- 58
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 7 · 2023: 7 · 2022: 6 · 2021: 3 · 2020: 6 · 2019: 3
- FWCI
- 2.61
- Type
- journal article
- Language
- en
- Update notices
- new_version (2019-08-19)
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS Computational Biology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- OSF Preprints (OSF Preprints) (submittedVersion)
- Funders
- National Science Foundation (ANR-10-LABX-0087)
- Agence Nationale de la Recherche (ANR-10-IDEX-0001, ANR-10-IDEX0001-02., ANR-17-EURE-0017, ANR-10-IDEX, ANR-10-LABX-0087, ANR-16, ANR-16-NEUC-0004, ANR10IDEX000102 PSL, ANR-10, ANR-10-LABX, IDEX-0001-02)
- Fondation Fyssen (ANR-10-IDEX-0001-02 PSL, ANR-10-LABX-0087)
- Fondation Schlumberger pour l’Education et la Recherche
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- depressive symptoms, reward learning, social environment, social information, decision-making, anxiety symptoms, audience effects, social cognition, computational modeling, model-based analysis, social interaction deficits
- MeSH terms
- Adult, Anxiety, Computer Simulation, Decision Making, Depression, Female, Humans, Interpersonal Relations, Learning, Male, Middle Aged, Models, Psychological, Reinforcement, Psychology, Reward, Cohort Studies, Linear Models, Computational Biology, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review