A neuro-computational social learning framework to facilitate transdiagnostic classification and treatment across psychiatric disorders

[1]  C. Korn,et al.  Incorporating social knowledge structures into computational models , 2022, Nature Communications.

[2]  S. Krach,et al.  The (un)learning of social functions and its significance for mental health. , 2022, Clinical psychology review.

[3]  B. Bach,et al.  Clinical utility of the alternative model of personality disorders: A 10th year anniversary review. , 2022, Personality disorders.

[4]  Miriam C. Klein-Flügge,et al.  Medial and orbital frontal cortex in decision-making and flexible behavior , 2022, Neuron.

[5]  D. Timmann,et al.  The cerebellum contributes to context-effects during fear extinction learning: A 7T fMRI study , 2022, NeuroImage.

[6]  S. Cassidy,et al.  Exploring the relationship between psychological flexibility and self-report and task-based measures of cognitive flexibility , 2021, Journal of Contextual Behavioral Science.

[7]  Emma J. Kilford,et al.  Choice-confirmation bias in reinforcement learning changes with age during adolescence , 2021 .

[8]  C. Sharp,et al.  Borderline personality disorder , 2021, The Lancet.

[9]  R. Wolf,et al.  Negative Valenzsysteme im System der Research Domain Criteria , 2021, Der Nervenarzt.

[10]  A. Meyer-Lindenberg,et al.  [Twelve years of research domain criteria in psychiatric research and practice: claim and reality]. , 2021, Der Nervenarzt.

[11]  Hyowon Gweon.  Inferential social learning: cognitive foundations of human social learning and teaching , 2021, Trends in Cognitive Sciences.

[12]  Catherine J. Stoodley,et al.  Adaptive Prediction for Social Contexts: The Cerebellar Contribution to Typical and Atypical Social Behaviors. , 2021, Annual review of neuroscience.

[13]  N. Golijani-Moghaddam,et al.  Relationship between psychological flexibility and work-related quality of life for healthcare professionals: A systematic review and meta-analysis , 2021, Journal of Contextual Behavioral Science.

[14]  S. Haslam,et al.  Self-categorization and autism: Exploring the relationship between autistic traits and group homogeneity. , 2021, Journal of experimental psychology. Applied.

[15]  C. Vázquez,et al.  Cognitive Control, Cognitive Biases and Emotion Regulation in Depression: A New Proposal for an Integrative Interplay Model , 2021, Frontiers in Psychology.

[16]  Katalin Oláh,et al.  Social categorization based on permanent versus transient visual traits in neurotypical children and children with autism spectrum disorder , 2021, Scientific Reports.

[17]  C. McMorris,et al.  Feeding and eating problems in children and adolescents with autism: A scoping review , 2021, Autism : the international journal of research and practice.

[18]  Kathlyn M. Cherry,et al.  Defining and measuring "psychological flexibility": A narrative scoping review of diverse flexibility and rigidity constructs and perspectives. , 2021, Clinical psychology review.

[19]  N. Daw,et al.  A model for learning based on the joint estimation of stochasticity and volatility , 2020, Nature Communications.

[20]  Seongmin A. Park,et al.  Inferences on a multidimensional social hierarchy use a grid-like code , 2020, Nature Neuroscience.

[21]  L. Uddin.  Brain Mechanisms Supporting Flexible Cognition and Behavior in Adolescents With Autism Spectrum Disorder , 2020, Biological Psychiatry.

[22]  Catherine J. Stoodley,et al.  The Cerebellum as a CNS Hub Modulating Autism-Relevant Behaviors , 2021, Contemporary Clinical Neuroscience.

[23]  Bruce N. Cuthbert.  Le cadre de travail des RDoC : faciliter la transition de la CIM et du DSM vers des approches dimensionnelles qui intègrent les neurosciences et la psychopathologie , 2021 .

[24]  G. Feixas,et al.  Placing Cognitive Rigidity in Interpersonal Context in Psychosis: Relationship With Low Cognitive Reserve and High Self-Certainty , 2020, Frontiers in Psychiatry.

[25]  Caitlin R. Bowman,et al.  Author response: Tracking prototype and exemplar representations in the brain across learning , 2020 .

[26]  Caitlin R. Bowman,et al.  Generalization and the hippocampus: More than one story? , 2020, Neurobiology of Learning and Memory.

[27]  Kerry J Ressler,et al.  Big data in psychiatry: multiomics, neuroimaging, computational modeling, and digital phenotyping , 2020, Neuropsychopharmacology.

[28]  F. Van Overwalle,et al.  The posterior crus II cerebellum is specialized for social mentalizing and emotional self-experiences: a meta-analysis , 2020, Social cognitive and affective neuroscience.

[29]  Anne G. E. Collins,et al.  Beyond dichotomies in reinforcement learning , 2020, Nature Reviews Neuroscience.

[30]  Martin Paulus,et al.  Advances in the computational understanding of mental illness , 2020, Neuropsychopharmacology.

[31]  P. Verhaeghen,et al.  Depression and Cognitive Control across the Lifespan: a Systematic Review and Meta-Analysis , 2020, Neuropsychology Review.

[32]  Miriam C. Klein-Flügge,et al.  Computational modelling of social cognition and behaviour—a reinforcement learning primer , 2020, Social cognitive and affective neuroscience.

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

[34]  Brynn E. Sherman,et al.  The prevalence and importance of statistical learning in human cognition and behavior , 2020, Current Opinion in Behavioral Sciences.

[35]  A. Pincus,et al.  Importance of Self and Other in Defining Personality Pathology , 2020, Psychopathology.

[36]  G. Dichter,et al.  Neural Mechanisms of Social and Nonsocial Reward Prediction Errors in Adolescents with Autism Spectrum Disorder , 2020, Autism research : official journal of the International Society for Autism Research.

[37]  Jacob J. Crouse,et al.  Modelling associations between neurocognition and functional course in young people with emerging mental disorders: a longitudinal cohort study , 2020, Translational Psychiatry.

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

[39]  Bradley C. Love,et al.  Ventromedial prefrontal cortex compression during concept learning , 2019, Nature Communications.

[40]  G. Wallace,et al.  Adaptive Behavior in Youth with Autism Spectrum Disorder: The Role of Flexibility , 2019, Journal of Autism and Developmental Disorders.

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

[42]  Seongmin A. Park,et al.  Neural computations underlying strategic social decision-making in groups , 2019, Nature Communications.

[43]  N. Volkow,et al.  The Neuroscience of Drug Reward and Addiction. , 2019, Physiological reviews.

[44]  H. Heekeren,et al.  Neurobiological mechanisms of social cognition treatment in high-functioning adults with autism spectrum disorder , 2019, Psychological Medicine.

[45]  M. Sungur,et al.  Comparison Between Obsessive Compulsive Disorder and Panic Disorder on Metacognitive Beliefs, Emotional Schemas, and Cognitive Flexibility , 2019, International Journal of Cognitive Therapy.

[46]  E. Feczko,et al.  The Heterogeneity Problem: Approaches to Identify Psychiatric Subtypes , 2019, Trends in Cognitive Sciences.

[47]  Diana I. Tamir,et al.  People represent their own mental states more distinctly than those of others , 2019, Nature Communications.

[48]  C. Korn,et al.  Minimizing threat via heuristic and optimal policies recruits hippocampus and medial prefrontal cortex , 2019, Nature Human Behaviour.

[49]  Luke J. Chang,et al.  The computational and neural substrates of moral strategies in social decision-making , 2019, Nature Communications.

[50]  Samuel J. Gershman,et al.  Structured event memory: a neuro-symbolic model of event cognition , 2019, bioRxiv.

[51]  Robert C. Wilson,et al.  Ten simple rules for the computational modeling of behavioral data , 2019, eLife.

[52]  O. Hikosaka,et al.  The Caudal Part of Putamen Represents the Historical Object Value Information , 2018, The Journal of Neuroscience.

[53]  D. Schiller,et al.  The Hippocampus and Social Impairment in Psychiatric Disorders. , 2019, Cold Spring Harbor symposia on quantitative biology.

[54]  Peter Gärdenfors,et al.  Navigating cognition: Spatial codes for human thinking , 2018, Science.

[55]  M. Schönenberg,et al.  Investigating social-contextual determinants of cooperation in incarcerated violent offenders , 2018, Scientific Reports.

[56]  Matthew Schafer,et al.  Navigating Social Space , 2018, Neuron.

[57]  Luís A. Nunes Amaral,et al.  A robust data-driven approach identifies four personality types across four large data sets , 2018, Nature Human Behaviour.

[58]  Martin J. Chadwick,et al.  Big-Loop Recurrence within the Hippocampal System Supports Integration of Information across Episodes , 2018, Neuron.

[59]  D. Schiller,et al.  The social hippocampus , 2018, Hippocampus.

[60]  W. Mansell,et al.  A systematic review of the relationship between rigidity/flexibility and transdiagnostic cognitive and behavioral processes that maintain psychopathology , 2018, Journal of Experimental Psychopathology.

[61]  M. Bahr,et al.  The Positive Plus Program: Affirmative classroom management to improve student behavior , 2018, Behavioral Interventions.

[62]  S. Herpertz,et al.  Neurobiology of Criterion A: self and interpersonal personality functioning. , 2018, Current opinion in psychology.

[63]  Tommy H. Ng,et al.  Meta-analysis of reward processing in major depressive disorder reveals distinct abnormalities within the reward circuit , 2018, bioRxiv.

[64]  T. Robbins,et al.  Author response: Value generalization in human avoidance learning , 2018 .

[65]  T. Robbins,et al.  Cognitive underpinnings of nationalistic ideology in the context of Brexit , 2018, Proceedings of the National Academy of Sciences.

[66]  P. Kanske,et al.  The social mind: disentangling affective and cognitive routes to understanding others , 2018 .

[67]  Matthew F S Rushworth,et al.  Neural Mechanisms of Social Cognition in Primates. , 2018, Annual review of neuroscience.

[68]  Michael V. Lombardo,et al.  Big data approaches to decomposing heterogeneity across the autism spectrum , 2018, bioRxiv.

[69]  G. Iarocci,et al.  Everyday executive function predicts adaptive and internalizing behavior among children with and without autism spectrum disorder , 2018, Autism research : official journal of the International Society for Autism Research.

[70]  Lindsay E. Hunter,et al.  Stimulus generalization as a mechanism for learning to trust , 2018, Proceedings of the National Academy of Sciences.

[71]  R. Dolan,et al.  Computation in Psychotherapy, or How Computational Psychiatry Can Aid Learning-Based Psychological Therapies , 2017, Computational Psychiatry.

[72]  K. Pelphrey,et al.  A Computational Account of Optimizing Social Predictions Reveals That Adolescents Are Conservative Learners in Social Contexts , 2017, The Journal of Neuroscience.

[73]  J. Oldham.  DSM models of personality disorders. , 2017, Current opinion in psychology.

[74]  Bradley C. Love,et al.  Building concepts one episode at a time: The hippocampus and concept formation , 2017, Neuroscience Letters.

[75]  S. Herpertz,et al.  Borderline personality disorder , 2004, Nature Reviews Disease Primers.

[76]  C. Korn,et al.  Heuristic and optimal policy computations in the human brain during sequential decision-making , 2018, Nature Communications.

[77]  P. McEvoy,et al.  A longitudinal investigation of perfectionism and repetitive negative thinking in perinatal depression. , 2017, Behaviour research and therapy.

[78]  Lori N. Scott,et al.  The Challenge of Transforming the Diagnostic System of Personality Disorders. , 2017, Journal of personality disorders.

[79]  P. Garety,et al.  Fast and slow thinking in distressing delusions: A review of the literature and implications for targeted therapy , 2017, Schizophrenia Research.

[80]  Asaf Gilboa,et al.  Neurobiology of Schemas and Schema-Mediated Memory , 2017, Trends in Cognitive Sciences.

[81]  Elise Lesage,et al.  Right Lateral Cerebellum Represents Linguistic Predictability , 2017, The Journal of Neuroscience.

[82]  Steve W. C. Chang,et al.  Social learning through prediction error in the brain , 2017, npj Science of Learning.

[83]  E. Koechlin,et al.  The Importance of Falsification in Computational Cognitive Modeling , 2017, Trends in Cognitive Sciences.

[84]  M. Burns,et al.  Meta-Analysis of the Effects of Academic Interventions and Modifications on Student Behavior Outcomes , 2017, School psychology quarterly : the official journal of the Division of School Psychology, American Psychological Association.

[85]  R. Ivry,et al.  The Cerebellum: Adaptive Prediction for Movement and Cognition , 2017, Trends in Cognitive Sciences.

[86]  Sheri L. Johnson,et al.  Explicit and Implicit Reinforcement Learning Across the Psychosis Spectrum , 2017, Journal of abnormal psychology.

[87]  K. Pelphrey,et al.  Cerebellar contributions to biological motion perception in autism and typical development , 2017, Human brain mapping.

[88]  M. Bohus,et al.  Understanding Negative Self-Evaluations in Borderline Personality Disorder—a Review of Self-Related Cognitions, Emotions, and Motives , 2017, Current Psychiatry Reports.

[89]  Li Yao,et al.  Gray matter abnormalities in pediatric autism spectrum disorder: a meta-analysis with signed differential mapping , 2017, European Child & Adolescent Psychiatry.

[90]  M. Brysbaert,et al.  Explaining human performance in psycholinguistic tasks with models of semantic similarity based on prediction and counting : A review and empirical validation , 2017 .

[91]  Lilian A. E. Weber,et al.  Hierarchical prediction errors in midbrain and septum during social learning , 2017, Social cognitive and affective neuroscience.

[92]  Adam M. Kleinbaum,et al.  Spontaneous neural encoding of social network position , 2017, Nature Human Behaviour.

[93]  Nicholas B. Turk-Browne,et al.  Complementary learning systems within the hippocampus: A neural network modeling approach to reconciling episodic memory with statistical learning , 2016, bioRxiv.

[94]  Stefano Palminteri,et al.  Confirmation bias in human reinforcement learning: Evidence from counterfactual feedback processing , 2016, PLoS Comput. Biol..

[95]  Hauke R. Heekeren,et al.  Emotional prosody processing in autism spectrum disorder , 2016, Social cognitive and affective neuroscience.

[96]  Taylor W. Webb,et al.  Functional Connectivity Between the Temporoparietal Cortex and Cerebellum in Autism Spectrum Disorder , 2016, Cerebral cortex.

[97]  Eleni Morfidi,et al.  Using concept mapping to improve poor readers’ understanding of expository text , 2017, Education and Information Technologies.

[98]  Marco Bozzali,et al.  Resting-State Functional Connectivity Changes Between Dentate Nucleus and Cortical Social Brain Regions in Autism Spectrum Disorders , 2016, The Cerebellum.

[99]  C. Korn,et al.  Processing of information about future life events in borderline personality disorder , 2016, Psychiatry Research.

[100]  S. Mostofsky,et al.  Cerebellar gray matter differentiates children with early language delay in autism , 2016, Autism research : official journal of the International Society for Autism Research.

[101]  Fiona J. Duff,et al.  Evidence for semantic involvement in regular and exception word reading in emergent readers of English. , 2016, Journal of experimental child psychology.

[102]  Yael Niv,et al.  Reinforcement learning with Marr , 2016, Current Opinion in Behavioral Sciences.

[103]  Ben Eppinger,et al.  Electrophysiological correlates of observational learning in children. , 2016, Developmental science.

[104]  Jamil Zaki,et al.  Social Cognition as Reinforcement Learning: Feedback Modulates Emotion Inference , 2016, Journal of Cognitive Neuroscience.

[105]  Michael L. Mack,et al.  Dynamic updating of hippocampal object representations reflects new conceptual knowledge , 2016, Proceedings of the National Academy of Sciences.

[106]  Timothy E. J. Behrens,et al.  Organizing conceptual knowledge in humans with a gridlike code , 2016, Science.

[107]  H. Walter,et al.  The role of the amygdala in naturalistic mentalising in typical development and in autism spectrum disorder , 2016, British Journal of Psychiatry.

[108]  Christian J. Merz,et al.  Cortisol disrupts the neural correlates of extinction recall , 2016, NeuroImage.

[109]  Huafu Chen,et al.  Alteration of functional connectivity in autism spectrum disorder: effect of age and anatomical distance , 2016, Scientific Reports.

[110]  M. Casanova,et al.  Studying Autism Spectrum Disorder with Structural and Diffusion Magnetic Resonance Imaging: A Survey , 2016, Front. Hum. Neurosci..

[111]  Samantha L. Connolly,et al.  INFLEXIBLE COGNITION PREDICTS FIRST ONSET OF MAJOR DEPRESSIVE EPISODES IN ADOLESCENCE , 2016, Depression and anxiety.

[112]  Alex Martin,et al.  Real-World Executive Functions in Adults with Autism Spectrum Disorder: Profiles of Impairment and Associations with Adaptive Functioning and Co-morbid Anxiety and Depression , 2016, Journal of autism and developmental disorders.

[113]  M. Brüne,et al.  Borderline Personality Disorder , 2016, Evolution, medicine, and public health.

[114]  M. Frank,et al.  Computational psychiatry as a bridge from neuroscience to clinical applications , 2016, Nature Neuroscience.

[115]  P. Tobler,et al.  Dopamine regulates stimulus generalization in the human hippocampus , 2016, eLife.

[116]  D. Naiman,et al.  Longitudinal Examination of Adaptive Behavior in Autism Spectrum Disorders: Influence of Executive Function , 2016, Journal of autism and developmental disorders.

[117]  H. Walter,et al.  A negative relationship between ventral striatal loss anticipation response and impulsivity in borderline personality disorder , 2016, NeuroImage: Clinical.

[118]  T. Sharot,et al.  Forming Beliefs: Why Valence Matters , 2016, Trends in Cognitive Sciences.

[119]  H. Seo,et al.  Neural Basis of Strategic Decision Making , 2016, Trends in Neurosciences.

[120]  R. Brockman,et al.  The Relationships Between Psychological Flexibility, Self-Compassion, and Emotional Well-Being , 2016, Journal of Cognitive Psychotherapy.

[121]  Kenneth N. Levy,et al.  Self-other disturbance in borderline personality disorder: Neural, self-report, and performance-based evidence. , 2016, Personality disorders.

[122]  I. Izquierdo,et al.  Fear Memory. , 2016, Physiological reviews.

[123]  Juan Manuel Contreras,et al.  Neural evidence that three dimensions organize mental state representation: Rationality, social impact, and valence , 2015, Proceedings of the National Academy of Sciences.

[124]  Catherine J. Stoodley,et al.  Cerebro-cerebellar circuits in autism spectrum disorder , 2015, Front. Neurosci..

[125]  K. Pelphrey,et al.  Neural Correlates of Animacy Attribution Include Neocerebellum in Healthy Adults. , 2015, Cerebral cortex.

[126]  N. Daw,et al.  Deciding How To Decide: Self-Control and Meta-Decision Making , 2015, Trends in Cognitive Sciences.

[127]  C. Korn,et al.  Social feedback processing in borderline personality disorder , 2015, Psychological Medicine.

[128]  M. Khamassi,et al.  Contextual modulation of value signals in reward and punishment learning , 2015, Nature Communications.

[129]  Samuel J. Gershman,et al.  Computational rationality: A converging paradigm for intelligence in brains, minds, and machines , 2015, Science.

[130]  M. Shapiro,et al.  A Map for Social Navigation in the Human Brain , 2015, Neuron.

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

[132]  P. Tobler,et al.  Efficient learning mechanisms hold in the social domain and are implemented in the medial prefrontal cortex. , 2015, Social cognitive and affective neuroscience.

[133]  K. Pelphrey,et al.  An integrative neural model of social perception, action observation, and theory of mind , 2015, Neuroscience & Biobehavioral Reviews.

[134]  A. Schütz,et al.  Self-concept structure and borderline personality disorder: evidence for negative compartmentalization. , 2015, Journal of behavior therapy and experimental psychiatry.

[135]  Catherine J. Stoodley,et al.  Cerebellar gray matter and lobular volumes correlate with core autism symptoms , 2015, NeuroImage: Clinical.

[136]  Zeb Kurth-Nelson,et al.  Learning-Induced Plasticity in Medial Prefrontal Cortex Predicts Preference Malleability , 2015, Neuron.

[137]  H. Heekeren,et al.  Approximating Implicit and Explicit Mentalizing with Two Naturalistic Video-Based Tasks in Typical Development and Autism Spectrum Disorder , 2014, Journal of autism and developmental disorders.

[138]  S. Bölte,et al.  Schizophrenia and autism as contrasting minds: neural evidence for the hypo-hyper-intentionality hypothesis. , 2015, Schizophrenia bulletin.

[139]  K. Pelphrey,et al.  Heterogeneity of neural mechanisms of response to pivotal response treatment , 2015, Brain Imaging and Behavior.

[140]  Man-pui Sally Chan,et al.  Coping flexibility and psychological adjustment to stressful life changes: a meta-analytic review. , 2014, Psychological bulletin.

[141]  R. Dolan,et al.  Losing the rose tinted glasses: neural substrates of unbiased belief updating in depression , 2014, Front. Hum. Neurosci..

[142]  E. Fehr,et al.  The neurobiology of rewards and values in social decision making , 2014, Nature Reviews Neuroscience.

[143]  Michael E. Levin,et al.  Examining psychological inflexibility as a transdiagnostic process across psychological disorders. , 2014, Journal of contextual behavioral science.

[144]  Karl J. Friston,et al.  Computational psychiatry: the brain as a phantastic organ. , 2014, The lancet. Psychiatry.

[145]  Etienne Koechlin,et al.  Foundations of human reasoning in the prefrontal cortex , 2014, Science.

[146]  Pamela Ventola,et al.  Improvements in Social and Adaptive Functioning Following Short-Duration PRT Program: A Clinical Replication , 2014, Journal of Autism and Developmental Disorders.

[147]  Romain Martin,et al.  Executive functioning and reading achievement in school: a study of Brazilian children assessed by their teachers as “poor readers” , 2014, Front. Psychol..

[148]  Thomas Steckler,et al.  Negative symptoms of schizophrenia: Clinical characteristics, pathophysiological substrates, experimental models and prospects for improved treatment , 2014, European Neuropsychopharmacology.

[149]  D. Naiman,et al.  Randomized controlled effectiveness trial of executive function intervention for children on the autism spectrum. , 2014, Journal of child psychology and psychiatry, and allied disciplines.

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

[151]  Michael Erb,et al.  Structural loop between the cerebellum and the superior temporal sulcus: evidence from diffusion tensor imaging. , 2014, Cerebral cortex.

[152]  C. Korn,et al.  Cultural influences on social feedback processing of character traits , 2014, Front. Hum. Neurosci..

[153]  Frank Van Overwalle,et al.  Social cognition and the cerebellum: A meta-analysis of over 350 fMRI studies , 2014, NeuroImage.

[154]  L. Lagae,et al.  Altered functional connectivity of the language network in ASD: Role of classical language areas and cerebellum☆ , 2014, NeuroImage: Clinical.

[155]  Shinsuke Shimojo,et al.  Neural Computations Underlying Arbitration between Model-Based and Model-free Learning , 2013, Neuron.

[156]  Danielle Z. Bolling,et al.  Brain mechanisms underlying the impact of attachment-related stress on social cognition , 2013, Front. Hum. Neurosci..

[157]  Andreas Heinz,et al.  Reinforcement Learning and Dopamine in Schizophrenia: Dimensions of Symptoms or Specific Features of a Disease Group? , 2013, Front. Psychiatry.

[158]  Catherine Lord,et al.  Diagnosing autism in neurobiological research studies , 2013, Behavioural Brain Research.

[159]  Jane R. Garrison,et al.  Prediction error in reinforcement learning: A meta-analysis of neuroimaging studies , 2013, Neuroscience & Biobehavioral Reviews.

[160]  C. Sharp,et al.  Mentalizing problems in children and adolescents , 2013 .

[161]  J. O'Doherty,et al.  Insights from the application of computational neuroimaging to social neuroscience , 2013, Current Opinion in Neurobiology.

[162]  R. J. Dolan,et al.  Depression is related to an absence of optimistically biased belief updating about future life events , 2013, Psychological Medicine.

[163]  O. Ybarra,et al.  Outgroup primes induce unpredictability tendencies under conditions of distrust , 2013 .

[164]  H. Uylings,et al.  Cognitive Inflexibility in Obsessive-Compulsive Disorder and Major Depression Is Associated with Distinct Neural Correlates , 2013, PloS one.

[165]  Daeyeol Lee.  Decision Making: From Neuroscience to Psychiatry , 2013, Neuron.

[166]  A. Markman,et al.  The Curse of Planning: Dissecting Multiple Reinforcement-Learning Systems by Taxing the Central Executive , 2013 .

[167]  P. Fonagy,et al.  Mentalizing in Female Inpatients With Major Depressive Disorder , 2013, The Journal of nervous and mental disease.

[168]  Kai Vogeley,et al.  Towards a neuroscience of social interaction , 2013, Front. Hum. Neurosci..

[169]  H. Heekeren,et al.  Social cognition in borderline personality disorder , 2013, Front. Neurosci..

[170]  Soyoung Q. Park,et al.  Positively Biased Processing of Self-Relevant Social Feedback , 2012, The Journal of Neuroscience.

[171]  Soyoung Q. Park,et al.  How Glitter Relates to Gold: Similarity-Dependent Reward Prediction Errors in the Human Striatum , 2012, The Journal of Neuroscience.

[172]  Catherine Lord,et al.  Application of DSM-5 criteria for autism spectrum disorder to three samples of children with DSM-IV diagnoses of pervasive developmental disorders. , 2012, The American journal of psychiatry.

[173]  Timothy E. J. Behrens,et al.  An Agent Independent Axis for Executed and Modeled Choice in Medial Prefrontal Cortex , 2012, Neuron.

[174]  L. Koegel,et al.  Using Individualized Reinforcers and Hierarchical Exposure to Increase Food Flexibility in Children with Autism Spectrum Disorders , 2012, Journal of autism and developmental disorders.

[175]  Kevin N. Ochsner,et al.  A Meta-analysis of Functional Neuroimaging Studies of Self- and Other Judgments Reveals a Spatial Gradient for Mentalizing in Medial Prefrontal Cortex , 2012, Journal of Cognitive Neuroscience.

[176]  P. Montague,et al.  Neuroeconomics: A Bridge for Translational Research , 2012, Biological Psychiatry.

[177]  R. Baer,et al.  Emotion-related cognitive processes in borderline personality disorder: a review of the empirical literature. , 2012, Clinical psychology review.

[178]  Justin L. Gardner,et al.  Learning to Simulate Others' Decisions , 2012, Neuron.

[179]  A. Meyer-Lindenberg,et al.  Psychopathology and the Human Connectome: Toward a Transdiagnostic Model of Risk For Mental Illness , 2012, Neuron.

[180]  L. Fellows,et al.  Ventromedial frontal lobe damage disrupts the accuracy, but not the speed, of value-based preference judgments , 2012, Neuropsychologia.

[181]  J. Wood,et al.  Restricted interests and anxiety in children with autism , 2012, Autism : the international journal of research and practice.

[182]  M. Walton,et al.  Re‐evaluating the role of the orbitofrontal cortex in reward and reinforcement , 2012, The European journal of neuroscience.

[183]  H. Geurts,et al.  Cognitive Flexibility in ASD; Task Switching with Emotional Faces , 2012, Journal of autism and developmental disorders.

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

[185]  Robert C. Wilson,et al.  Inferring Relevance in a Changing World , 2012, Front. Hum. Neurosci..

[186]  G. Rücker,et al.  Psychological therapies for people with borderline personality disorder. , 2012, The Cochrane database of systematic reviews.

[187]  G. Quirk,et al.  Fear extinction as a model for translational neuroscience: ten years of progress. , 2012, Annual review of psychology.

[188]  C. Frith,et al.  Mechanisms of social cognition. , 2012, Annual review of psychology.

[189]  R. Elliott,et al.  Cognitive Mechanisms of Treatment in Depression , 2012, Neuropsychopharmacology.

[190]  James P. Morris,et al.  Subcortical contributions to effective connectivity in brain networks supporting imitation , 2011, Neuropsychologia.

[191]  G. Glover,et al.  Behavioral and Neural Properties of Social Reinforcement Learning , 2011, The Journal of Neuroscience.

[192]  Christoph W Korn,et al.  How unrealistic optimism is maintained in the face of reality , 2011, Nature Neuroscience.

[193]  C. Beevers,et al.  Neural mechanisms of the cognitive model of depression , 2011, Nature Reviews Neuroscience.

[194]  T. McGlashan,et al.  Personality assessment in DSM-5: empirical support for rating severity, style, and traits. , 2011, Journal of personality disorders.

[195]  Heather T. Pane,et al.  Theory of mind and emotion regulation difficulties in adolescents with borderline traits. , 2011, Journal of the American Academy of Child and Adolescent Psychiatry.

[196]  Nathaniel D. Daw,et al.  Trial-by-trial data analysis using computational models , 2011 .

[197]  P. Dayan,et al.  Model-based influences on humans’ choices and striatal prediction errors , 2011, Neuron.

[198]  N. Volkow,et al.  Addiction: Beyond dopamine reward circuitry , 2011, Proceedings of the National Academy of Sciences.

[199]  Nachshon Meiran,et al.  Cognitive rigidity in unipolar depression and obsessive compulsive disorder: Examination of task switching, Stroop, working memory updating and post-conflict adaptation , 2011, Psychiatry Research.

[200]  L. Fellows,et al.  Beyond Reversal: A Critical Role for Human Orbitofrontal Cortex in Flexible Learning from Probabilistic Feedback , 2010, The Journal of Neuroscience.

[201]  Dagmar Zeithamova,et al.  Flexible Memories: Differential Roles for Medial Temporal Lobe and Prefrontal Cortex in Cross-Episode Binding , 2010, The Journal of Neuroscience.

[202]  Alexa R. Romberg,et al.  Statistical learning and language acquisition. , 2010, Wiley interdisciplinary reviews. Cognitive science.

[203]  Elvira Brattico,et al.  Cognitive and Motor Loops of the Human Cerebro-cerebellar System , 2010, Journal of Cognitive Neuroscience.

[204]  T. Kashdan,et al.  Psychological flexibility as a fundamental aspect of health. , 2010, Clinical psychology review.

[205]  Rosemarie Nagel,et al.  The neural basis of bounded rational behavior , 2010 .

[206]  W. Schultz,et al.  Neural mechanisms of observational learning , 2010, Proceedings of the National Academy of Sciences.

[207]  Catherine J. Stoodley,et al.  Evidence for topographic organization in the cerebellum of motor control versus cognitive and affective processing , 2010, Cortex.

[208]  M. Cavallini,et al.  Executive Dysfunctions in Obsessive-Compulsive Patients and Unaffected Relatives: Searching for a New Intermediate Phenotype , 2010, Biological Psychiatry.

[209]  A. Ruocco,et al.  Abnormal prefrontal cortical response during affective processing in borderline personality disorder , 2010, Psychiatry Research: Neuroimaging.

[210]  P. Dayan,et al.  States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning , 2010, Neuron.

[211]  Alex Martin,et al.  Adaptive Behavior Ratings Correlate With Symptomatology and IQ Among Individuals With High-Functioning Autism Spectrum Disorders , 2010, Journal of autism and developmental disorders.

[212]  I. Gotlib,et al.  Cognition and depression: current status and future directions. , 2010, Annual review of clinical psychology.

[213]  B. Hayden,et al.  Distinct Value Signals in Anterior and Posterior Ventromedial Prefrontal Cortex , 2010, The Journal of Neuroscience.

[214]  Daniel T. Knoepfle,et al.  Value Computations in Ventral Medial Prefrontal Cortex during Charitable Decision Making Incorporate Input from Regions Involved in Social Cognition , 2010, The Journal of Neuroscience.

[215]  Hauke R. Heekeren,et al.  Neural correlates of social cognition in naturalistic settings: A model-free analysis approach , 2010, NeuroImage.

[216]  S. Rauch,et al.  Neurobiological Basis of Failure to Recall Extinction Memory in Posttraumatic Stress Disorder , 2009, Biological Psychiatry.

[217]  J. Bloedel,et al.  The cerebellum and eye-blink conditioning: learning versus network performance hypotheses , 2009, Neuroscience.

[218]  U. Frith,et al.  Mindblind Eyes: An Absence of Spontaneous Theory of Mind in Asperger Syndrome , 2009, Science.

[219]  Douglas L Rosene,et al.  Density of cerebellar basket and stellate cells in autism: Evidence for a late developmental loss of Purkinje cells , 2009, Journal of neuroscience research.

[220]  B. Sahakian,et al.  Neurocognitive mechanisms in depression: implications for treatment. , 2009, Annual review of neuroscience.

[221]  Stephan Heckers,et al.  The role of the hippocampus in transitive inference , 2009, Psychiatry Research: Neuroimaging.

[222]  N. Koibuchi,et al.  Increase in Cerebellar Neurotrophin-3 and Oxidative Stress Markers in Autism , 2009, The Cerebellum.

[223]  T. Robbins,et al.  Review Personality, Addiction, Dopamine: Insights from Parkinson's Disease Table 1. Possible Site of Striatal Dopamine Dysfunction Causing Different Motor and Cognitive Symptoms in Parkinson's Disease , 2022 .

[224]  H. Geurts,et al.  The paradox of cognitive flexibility in autism , 2009, Trends in Cognitive Sciences.

[225]  G. Blatt,et al.  Decreased GAD65 mRNA levels in select subpopulations of neurons in the cerebellar dentate nuclei in autism: an in situ hybridization study , 2009, Autism research : official journal of the International Society for Autism Research.

[226]  Jeremy D. Schmahmann,et al.  Functional topography in the human cerebellum: A meta-analysis of neuroimaging studies , 2009, NeuroImage.

[227]  D. Durstewitz,et al.  The Dual-State Theory of Prefrontal Cortex Dopamine Function with Relevance to Catechol-O-Methyltransferase Genotypes and Schizophrenia , 2008, Biological Psychiatry.

[228]  Angelica Ronald,et al.  The ‘Fractionable Autism Triad’: A Review of Evidence from Behavioural, Genetic, Cognitive and Neural Research , 2008, Neuropsychology Review.

[229]  Mark W Woolrich,et al.  Associative learning of social value , 2008, Nature.

[230]  Edward R. Watkins,et al.  Repetitive negative thinking as a transdiagnostic process , 2008 .

[231]  Joseph Piven,et al.  Defining key features of the broad autism phenotype: A comparison across parents of multiple‐ and single‐incidence autism families , 2008, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

[232]  Peter Bossaerts,et al.  Neural correlates of mentalizing-related computations during strategic interactions in humans , 2008, Proceedings of the National Academy of Sciences.

[233]  P. Dayan,et al.  Reinforcement learning: The Good, The Bad and The Ugly , 2008, Current Opinion in Neurobiology.

[234]  Pearl H. Chiu,et al.  Self Responses along Cingulate Cortex Reveal Quantitative Neural Phenotype for High-Functioning Autism , 2008, Neuron.

[235]  M. Leary.  Motivational and emotional aspects of the self. , 2007, Annual review of psychology.

[236]  Jean Decety,et al.  The empathic brain and its dysfunction in psychiatric populations: implications for intervention across different clinical conditions , 2007, BioPsychoSocial medicine.

[237]  Timothy E. J. Behrens,et al.  Learning the value of information in an uncertain world , 2007, Nature Neuroscience.

[238]  D. Fresco,et al.  EXPLANATORY FLEXIBILITY AND NEGATIVE LIFE EVENTS INTERACT TO PREDICT DEPRESSION SYMPTOMS , 2007 .

[239]  A. Pickles,et al.  Resilience to adult psychopathology following childhood maltreatment: evidence from a community sample. , 2007, Child abuse & neglect.

[240]  S. Kanba,et al.  Deficit in theory of mind is a risk for relapse of major depression. , 2006, Journal of affective disorders.

[241]  Lindsey J. Powell,et al.  It's the Thought That Counts , 2006, Psychological science.

[242]  P. Silvia,et al.  Biased recognition of happy facial expressions in social anxiety. , 2006 .

[243]  N. Ramnani.  The primate cortico-cerebellar system: anatomy and function , 2006, Nature Reviews Neuroscience.

[244]  Aaron C. Courville,et al.  Bayesian theories of conditioning in a changing world , 2006, Trends in Cognitive Sciences.

[245]  P. Dayan,et al.  Cortical substrates for exploratory decisions in humans , 2006, Nature.

[246]  David H. Barlow,et al.  A New Unified Treatment Approach for Emotional Disorders Based on Emotion Science , 2006 .

[247]  C. Frith,et al.  The Neural Basis of Mentalizing , 2006, Neuron.

[248]  Jeffrey E. Young,et al.  Schema therapy for borderline personality disorder. , 2006, Journal of clinical psychology.

[249]  M. Kawato,et al.  Different neural correlates of reward expectation and reward expectation error in the putamen and caudate nucleus during stimulus-action-reward association learning. , 2006, Journal of neurophysiology.

[250]  Colin Camerer,et al.  When Does "Economic Man" Dominate Social Behavior? , 2006, Science.

[251]  P. Dayan,et al.  Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control , 2005, Nature Neuroscience.

[252]  Todd K. Shackelford,et al.  Universal dimensions of human mate preferences , 2005 .

[253]  A. Zimmerman,et al.  Neuroglial activation and neuroinflammation in the brain of patients with autism , 2005, Annals of neurology.

[254]  Henrik Walter,et al.  Understanding Intentions in Social Interaction: The Role of the Anterior Paracingulate Cortex , 2004, Journal of Cognitive Neuroscience.

[255]  G. Glover,et al.  Reflecting upon Feelings: An fMRI Study of Neural Systems Supporting the Attribution of Emotion to Self and Other , 2004, Journal of Cognitive Neuroscience.

[256]  Joseph E LeDoux,et al.  Extinction Learning in Humans Role of the Amygdala and vmPFC , 2004, Neuron.

[257]  R. Tuchman,et al.  [Autism and pervasive developmental disorders]. , 2004, Jornal de pediatria.

[258]  C. Frith,et al.  Schizophrenia and theory of mind , 2004, Psychological Medicine.

[259]  D. L. Hintzman.  Judgment of frequency versus recognition confidence: Repetition and recursive reminding , 2004, Memory & cognition.

[260]  K. Sasaki,et al.  Electrophysiological studies of the projections from the parietal association area to the cerebellar cortex , 1975, Experimental Brain Research.

[261]  S. Heckers,et al.  Hippocampal activation during transitive inference in humans , 2004, Hippocampus.

[262]  P. Strick,et al.  Cerebellar Loops with Motor Cortex and Prefrontal Cortex of a Nonhuman Primate , 2003, The Journal of Neuroscience.

[263]  S. Monsell.  Task switching , 2003, Trends in Cognitive Sciences.

[264]  C. Frith,et al.  Autism, Asperger syndrome and brain mechanisms for the attribution of mental states to animated shapes. , 2002, Brain : a journal of neurology.

[265]  C Martin-Ruiz,et al.  Nicotinic receptor abnormalities in the cerebellar cortex in autism. , 2002, Brain : a journal of neurology.

[266]  T. Kemper,et al.  Neuropathology of infantile autism , 1998, Molecular Psychiatry.

[267]  S. Fatemi,et al.  Dysregulation of Reelin and Bcl-2 Proteins in Autistic Cerebellum , 2001, Journal of autism and developmental disorders.

[268]  J. Pevsner,et al.  Postmortem brain abnormalities of the glutamate neurotransmitter system in autism , 2001, Neurology.

[269]  K. Zilles,et al.  Mind Reading: Neural Mechanisms of Theory of Mind and Self-Perspective , 2001, NeuroImage.

[270]  S. Fatemi,et al.  Reduction in anti-apoptotic protein Bcl-2 in autistic cerebellum , 2001, Neuroreport.

[271]  E. Courchesne,et al.  Evidence for a cerebellar role in reduced exploration and stereotyped behavior in autism , 2001, Biological Psychiatry.

[272]  S. Baron-Cohen.  Theory of mind and autism: A review , 2000 .

[273]  P. Strick,et al.  The Organization of Cerebellar and Basal Ganglia Outputs to Primary Motor Cortex as Revealed by Retrograde Transneuronal Transport of Herpes Simplex Virus Type 1 , 1999, The Journal of Neuroscience.

[274]  A. Bailey,et al.  A clinicopathological study of autism. , 1998, Brain : a journal of neurology.

[275]  Peter Dayan,et al.  A Neural Substrate of Prediction and Reward , 1997, Science.

[276]  Sharon J. Derry,et al.  Cognitive schema theory in the constructivist debate , 1996 .

[277]  J. Schmahmann.  From movement to thought: Anatomic substrates of the cerebellar contribution to cognitive processing , 1996, Human brain mapping.

[278]  Thomas E. Nelson,et al.  Prejudice, Stereotypes, and Labeling Effects: Sources of Bias in Person Perception , 1995 .

[279]  M. Banaji,et al.  Implicit social cognition: attitudes, self-esteem, and stereotypes. , 1995, Psychological review.

[280]  J. Bloedel.  Functional heterogeneity with structural homogeneity: How does the cerebellum operate? , 1992 .

[281]  D. Pandya,et al.  Projections to the basis pontis from the superior temporal sulcus and superior temporal region in the rhesus monkey , 1991, The Journal of comparative neurology.

[282]  S. O'leary,et al.  Behavioral Interventions for the Classroom: Implications for Students with ADHD. , 1991 .

[283]  G. Bower,et al.  Learning and memory for personality prototypes. , 1986, Journal of personality and social psychology.

[284]  A. Scheibel,et al.  Lower Purkinje cell counts in the cerebella of four autistic subjects: initial findings of the UCLA-NSAC Autopsy Research Report. , 1986, The American journal of psychiatry.

[285]  M. Rothbart,et al.  Perception of Out-Group Homogeneity and Levels of Social Categorization: Memory for the Subordinate Attributes of In-Group and Out-Group Members , 1982 .

[286]  S. Fiske,et al.  What does the Schema Concept Buy us? , 1980 .

[287]  N. Weinstein.  Unrealistic optimism about future life events , 1980 .

[288]  Roger C. Schank,et al.  Scripts, plans, goals and understanding: an inquiry into human knowledge structures , 1978 .

[289]  W. Mischel,et al.  Traits as prototypes: Effects on recognition memory. , 1977 .

[290]  D. Marr.  A theory of cerebellar cortex , 1969, The Journal of physiology.

[291]  E. A. Berg,et al.  A simple objective technique for measuring flexibility in thinking. , 1948, The Journal of general psychology.