Literature DB >> 24557585

Antipsychotic dose modulates behavioral and neural responses to feedback during reinforcement learning in schizophrenia.

Catherine Insel1, Jenna Reinen, Jochen Weber, Tor D Wager, L Fredrik Jarskog, Daphna Shohamy, Edward E Smith.   

Abstract

Schizophrenia is characterized by an abnormal dopamine system, and dopamine blockade is the primary mechanism of antipsychotic treatment. Consistent with the known role of dopamine in reward processing, prior research has demonstrated that patients with schizophrenia exhibit impairments in reward-based learning. However, it remains unknown how treatment with antipsychotic medication impacts the behavioral and neural signatures of reinforcement learning in schizophrenia. The goal of this study was to examine whether antipsychotic medication modulates behavioral and neural responses to prediction error coding during reinforcement learning. Patients with schizophrenia completed a reinforcement learning task while undergoing functional magnetic resonance imaging. The task consisted of two separate conditions in which participants accumulated monetary gain or avoided monetary loss. Behavioral results indicated that antipsychotic medication dose was associated with altered behavioral approaches to learning, such that patients taking higher doses of medication showed increased sensitivity to negative reinforcement. Higher doses of antipsychotic medication were also associated with higher learning rates (LRs), suggesting that medication enhanced sensitivity to trial-by-trial feedback. Neuroimaging data demonstrated that antipsychotic dose was related to differences in neural signatures of feedback prediction error during the loss condition. Specifically, patients taking higher doses of medication showed attenuated prediction error responses in the striatum and the medial prefrontal cortex. These findings indicate that antipsychotic medication treatment may influence motivational processes in patients with schizophrenia.

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Year:  2014        PMID: 24557585     DOI: 10.3758/s13415-014-0261-3

Source DB:  PubMed          Journal:  Cogn Affect Behav Neurosci        ISSN: 1530-7026            Impact factor:   3.526


  58 in total

Review 1.  Dopamine D2 receptors as treatment targets in schizophrenia.

Authors:  Philip Seeman
Journal:  Clin Schizophr Relat Psychoses       Date:  2010-04

Review 2.  The computational neurobiology of learning and reward.

Authors:  Nathaniel D Daw; Kenji Doya
Journal:  Curr Opin Neurobiol       Date:  2006-03-24       Impact factor: 6.627

3.  Altered probabilistic learning and response biases in schizophrenia: behavioral evidence and neurocomputational modeling.

Authors:  James A Waltz; Michael J Frank; Thomas V Wiecki; James M Gold
Journal:  Neuropsychology       Date:  2011-01       Impact factor: 3.295

4.  Patients with schizophrenia are impaired when learning in the context of pursuing rewards.

Authors:  Jenna Reinen; Edward E Smith; Catherine Insel; Robert Kribs; Daphna Shohamy; Tor D Wager; L Fredrik Jarskog
Journal:  Schizophr Res       Date:  2013-12-13       Impact factor: 4.939

Review 5.  The revised dopamine hypothesis of schizophrenia: evidence from pharmacological MRI studies with atypical antipsychotic medication.

Authors:  Fabiana da Silva Alves; Martijn Figee; Therese van Amelsvoort; Dick Veltman; Lieuwe de Haan
Journal:  Psychopharmacol Bull       Date:  2008

6.  Adolescent-specific patterns of behavior and neural activity during social reinforcement learning.

Authors:  Rebecca M Jones; Leah H Somerville; Jian Li; Erika J Ruberry; Alisa Powers; Natasha Mehta; Jonathan Dyke; B J Casey
Journal:  Cogn Affect Behav Neurosci       Date:  2014-06       Impact factor: 3.282

Review 7.  Neurobiology of dopamine in schizophrenia.

Authors:  Olivier Guillin; Anissa Abi-Dargham; Marc Laruelle
Journal:  Int Rev Neurobiol       Date:  2007       Impact factor: 3.230

8.  Disrupted prediction-error signal in psychosis: evidence for an associative account of delusions.

Authors:  P R Corlett; G K Murray; G D Honey; M R F Aitken; D R Shanks; T W Robbins; E T Bullmore; A Dickinson; P C Fletcher
Journal:  Brain       Date:  2007-08-09       Impact factor: 13.501

9.  Substantia nigra/ventral tegmental reward prediction error disruption in psychosis.

Authors:  G K Murray; P R Corlett; L Clark; M Pessiglione; A D Blackwell; G Honey; P B Jones; E T Bullmore; T W Robbins; P C Fletcher
Journal:  Mol Psychiatry       Date:  2007-08-07       Impact factor: 15.992

10.  Patients with schizophrenia have a reduced neural response to both unpredictable and predictable primary reinforcers.

Authors:  James A Waltz; Julie B Schweitzer; James M Gold; Pradeep K Kurup; Thomas J Ross; Betty Jo Salmeron; Emma Jane Rose; Samuel M McClure; Elliot A Stein
Journal:  Neuropsychopharmacology       Date:  2008-12-03       Impact factor: 7.853

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  14 in total

1.  Motivational Context Modulates Prediction Error Response in Schizophrenia.

Authors:  Jenna M Reinen; Jared X Van Snellenberg; Guillermo Horga; Anissa Abi-Dargham; Nathaniel D Daw; Daphna Shohamy
Journal:  Schizophr Bull       Date:  2016-04-22       Impact factor: 9.306

2.  Meta-analytic evidence for altered mesolimbic responses to reward in schizophrenia.

Authors:  Henry W Chase; Polina Loriemi; Tobias Wensing; Simon B Eickhoff; Thomas Nickl-Jockschat
Journal:  Hum Brain Mapp       Date:  2018-03-24       Impact factor: 5.038

3.  Differential reinforcement learning responses to positive and negative information in unmedicated individuals with depression.

Authors:  Jenna M Reinen; Alexis E Whitton; Diego A Pizzagalli; Mark Slifstein; Anissa Abi-Dargham; Patrick J McGrath; Dan V Iosifescu; Franklin R Schneier
Journal:  Eur Neuropsychopharmacol       Date:  2021-09-10       Impact factor: 4.600

Review 4.  A meta-analytic review of self-reported, clinician-rated, and performance-based motivation measures in schizophrenia: Are we measuring the same "stuff"?

Authors:  Lauren Luther; Ruth L Firmin; Paul H Lysaker; Kyle S Minor; Michelle P Salyers
Journal:  Clin Psychol Rev       Date:  2018-04-07

5.  Dopamine Release in Antidepressant-Naive Major Depressive Disorder: A Multimodal [11C]-(+)-PHNO Positron Emission Tomography and Functional Magnetic Resonance Imaging Study.

Authors:  Franklin R Schneier; Mark Slifstein; Alexis E Whitton; Diego A Pizzagalli; Jenna Reinen; Patrick J McGrath; Dan V Iosifescu; Anissa Abi-Dargham
Journal:  Biol Psychiatry       Date:  2018-05-25       Impact factor: 13.382

6.  Abnormal prediction error processing in schizophrenia and depression.

Authors:  Zachary Adam Yaple; Serenella Tolomeo; Rongjun Yu
Journal:  Hum Brain Mapp       Date:  2021-05-06       Impact factor: 5.038

7.  Using Computational Modeling to Capture Schizophrenia-Specific Reinforcement Learning Differences and Their Implications on Patient Classification.

Authors:  Andra Geana; Deanna M Barch; James M Gold; Cameron S Carter; Angus W MacDonald; J Daniel Ragland; Steven M Silverstein; Michael J Frank
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2021-04-18

Review 8.  Mapping anhedonia-specific dysfunction in a transdiagnostic approach: an ALE meta-analysis.

Authors:  Bei Zhang; Pan Lin; Huqing Shi; Dost Öngür; Randy P Auerbach; Xiaosheng Wang; Shuqiao Yao; Xiang Wang
Journal:  Brain Imaging Behav       Date:  2016-09       Impact factor: 3.978

9.  Ventral striatum and amygdala activity as convergence sites for early adversity and conduct disorder.

Authors:  Nathalie E Holz; Regina Boecker-Schlier; Arlette F Buchmann; Dorothea Blomeyer; Christine Jennen-Steinmetz; Sarah Baumeister; Michael M Plichta; Anna Cattrell; Gunter Schumann; Günter Esser; Martin Schmidt; Jan Buitelaar; Andreas Meyer-Lindenberg; Tobias Banaschewski; Daniel Brandeis; Manfred Laucht
Journal:  Soc Cogn Affect Neurosci       Date:  2017-02-01       Impact factor: 3.436

10.  Both unmedicated and medicated individuals with schizophrenia show impairments across a wide array of cognitive and reinforcement learning tasks.

Authors:  Erin K Moran; James M Gold; Cameron S Carter; Angus W MacDonald; J Daniel Ragland; Steven M Silverstein; Steven J Luck; Deanna M Barch
Journal:  Psychol Med       Date:  2020-08-17       Impact factor: 7.723

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