Impaired social learning in patients with major depressive disorder revealed by a reinforcement learning model

[1]  Qinglin Gao,et al.  The perception-behavior dissociation in the ultimatum game in unmedicated patients with major depressive disorders. , 2022, Journal of psychopathology and clinical science.

[2]  V. Fiore,et al.  Computational mechanisms underlying illusion of control in delusional individuals , 2022, Schizophrenia Research.

[3]  S. Moritz,et al.  Spared performance but increased uncertainty in schizophrenia: Evidence from a probabilistic decision-making task , 2020, Schizophrenia Research.

[4]  D. Cobb-Clark,et al.  Depression, Risk Preferences, and Risk-Taking Behavior , 2020, The Journal of Human Resources.

[5]  T. Johnson,et al.  Applying hierarchical bayesian modeling to experimental psychopathology data: An introduction and tutorial. , 2021, Journal of abnormal psychology.

[6]  C. Korn,et al.  Social motives in a patient with bilateral selective amygdala lesions: Shift in prosocial motivation but not in social value orientation , 2021, Neuropsychologia.

[7]  Daniel Serra.  Decision-making: from neuroscience to neuroeconomics—an overview , 2021, Theory and Decision.

[8]  B. Olaya,et al.  Prevalence of depression during the COVID-19 outbreak: A meta-analysis of community-based studies , 2020, International Journal of Clinical and Health Psychology.

[9]  Axel Ockenfels,et al.  Trust in everyday life. , 2020, Journal of personality and social psychology.

[10]  Catherine J. Stoodley,et al.  Consensus Paper: Cerebellum and Social Cognition , 2020, The Cerebellum.

[11]  M. Brüne,et al.  Altered third‐party punishment in Huntington's disease: A study using neuroeconomic games , 2020, Brain and behavior.

[12]  A. Olsson,et al.  The neural and computational systems of social learning , 2020, Nature Reviews Neuroscience.

[13]  J. Gläscher,et al.  Using reinforcement learning models in social neuroscience: frameworks, pitfalls and suggestions of best practices , 2019, Social cognitive and affective neuroscience.

[14]  Daeyeol Lee,et al.  Neurocognitive mechanisms of social inferences in typical and autistic adolescents , 2019, bioRxiv.

[15]  Dan J Stein,et al.  The Human Basolateral Amygdala Is Indispensable for Social Experiential Learning , 2019, Current Biology.

[16]  Carlos Alós-Ferrer,et al.  Trust Games and Beyond , 2019, Front. Neurosci..

[17]  C. McCabe,et al.  Impaired Social Learning Predicts Reduced Real-life Motivation in Individuals with Depression: A Computational fMRI Study , 2019, bioRxiv.

[18]  M. Frank,et al.  Social reinforcement learning as a predictor of real-life experiences in individuals with high and low depressive symptomatology , 2019, Psychological Medicine.

[19]  Siân E. Robson,et al.  A review of neuroeconomic gameplay in psychiatric disorders , 2019, Molecular Psychiatry.

[20]  Álvaro Cabana,et al.  Social Avoidance in Depression: A Study Using a Social Decision-Making Task , 2019, Journal of abnormal psychology.

[21]  Julie Lorah,et al.  Value of sample size for computation of the Bayesian information criterion (BIC) in multilevel modeling , 2019, Behavior Research Methods.

[22]  E. Langer,et al.  Longitudinal associations between mindfulness and well-being in people with multiple sclerosis , 2018, International journal of clinical and health psychology : IJCHP.

[23]  R. Nagel,et al.  Belief-dependent preferences and reputation: Experimental analysis of a repeated trust game , 2018, Journal of Economic Behavior & Organization.

[24]  L. Cherney,et al.  Attention in individuals with aphasia: Performance on the Conners’ Continuous Performance Test – 2nd edition , 2020, Neuropsychological rehabilitation.

[25]  M. V. Assen,et al.  Sex differences in trust and trustworthiness: A meta-analysis of the trust game and the gift-exchange game , 2018, Journal of Economic Psychology.

[26]  P. Seriès,et al.  Major Depression Impairs the Use of Reward Values for Decision-Making , 2018, Scientific Reports.

[27]  P. Montague.  Computational Phenotypes Revealed by Interactive Economic Games , 2018 .

[28]  Camilla L. Nord,et al.  Disrupted habenula function in major depression , 2016, Molecular Psychiatry.

[29]  Gregor Hasler,et al.  Social functioning in major depressive disorder , 2016, Neuroscience & Biobehavioral Reviews.

[30]  C. Myers,et al.  The personality trait of behavioral inhibition modulates perceptions of moral character and performance during the trust game: behavioral results and computational modeling , 2016, PeerJ.

[31]  Kaileigh A. Byrne,et al.  Dopamine, depressive symptoms, and decision-making: the relationship between spontaneous eye blink rate and depressive symptoms predicts Iowa Gambling Task performance , 2016, Cognitive, affective & behavioral neuroscience.

[32]  P. Sterzer,et al.  Biased Recognition of Facial Affect in Patients with Major Depressive Disorder Reflects Clinical State , 2015, PloS one.

[33]  Luke J. Chang,et al.  Computational Substrates of Social Value in Interpersonal Collaboration , 2015, The Journal of Neuroscience.

[34]  C. Mathys,et al.  Computational approaches to psychiatry , 2014, Current Opinion in Neurobiology.

[35]  D. Pizzagalli,et al.  Depression, stress, and anhedonia: toward a synthesis and integrated model. , 2014, Annual review of clinical psychology.

[36]  Christopher G. Davey,et al.  Functional brain imaging studies of youth depression: A systematic review☆ , 2013, NeuroImage: Clinical.

[37]  Luke Clark,et al.  Reward signals, attempted suicide, and impulsivity in late-life depression. , 2013, JAMA psychiatry.

[38]  Sonya Hardy,et al.  Cooperation and depressive symptoms. , 2013, Journal of affective disorders.

[39]  Dan J Stein,et al.  Generous economic investments after basolateral amygdala damage , 2013, Proceedings of the National Academy of Sciences.

[40]  P. Dayan,et al.  Mapping anhedonia onto reinforcement learning: a behavioural meta-analysis , 2013, Biology of Mood & Anxiety Disorders.

[41]  K. Samejima,et al.  Effects of depression on reward-based decision making and variability of action in probabilistic learning. , 2012, Journal of behavior therapy and experimental psychiatry.

[42]  Luke J. Chang,et al.  Effects of Direct Social Experience on Trust Decisions and Neural Reward Circuitry , 2012, Front. Neurosci..

[43]  A. Kring,et al.  The Temporal Experience of Pleasure Scale (TEPS): Exploration and Confirmation of Factor Structure in a Healthy Chinese Sample , 2012, PloS one.

[44]  Karl J. Friston,et al.  Computational psychiatry , 2012, Trends in Cognitive Sciences.

[45]  Michael Moutoussis,et al.  Are computational models of any use to psychiatry? , 2011, Neural Networks.

[46]  G. Waiter,et al.  Expected value and prediction error abnormalities in depression and schizophrenia. , 2011, Brain : a journal of neurology.

[47]  Luke J. Chang,et al.  Seeing is believing: Trustworthiness as a dynamic belief , 2010, Cognitive Psychology.

[48]  M. Milders,et al.  Abnormal Temporal Difference Reward-learning Signals in Major Depression Department of Radiology And , 2022 .

[49]  C. Beevers,et al.  Identification of Emotionally Ambiguous Interpersonal Stimuli Among Dysphoric and Nondysphoric Individuals , 2008, Cognitive Therapy and Research.

[50]  B. Löwe,et al.  A brief measure for assessing generalized anxiety disorder: the GAD-7. , 2006, Archives of internal medicine.

[51]  R. Spitzer,et al.  Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire. , 1999, JAMA.

[52]  C. Robert Cloninger.  A systematic method for clinical description and classification of personality variants. A proposal. , 1987, Archives of general psychiatry.

[53]  J. Rotter.  A new scale for the measurement of interpersonal trust. , 1967, Journal of personality.

[54]  M. Hamilton.  A RATING SCALE FOR DEPRESSION , 1960, Journal of neurology, neurosurgery, and psychiatry.