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Transdiagnostic inflexible learning dynamics explain deficits in depression and schizophrenia.
Kirschner, Hans; Nassar, Matthew R; Fischer, Adrian G; Frodl, Thomas; Meyer-Lotz, Gabriela; Froböse, Sören; Seidenbecher, Stephanie; Klein, Tilmann A; Ullsperger, Markus.
  • Kirschner H; Institute of Psychology, Otto-von-Guericke University, D-39106 Magdeburg, Germany.
  • Nassar MR; Robert J. and Nancy D. Carney Institute for Brain Science, Brown University, Providence, RI 02912-1821, USA.
  • Fischer AG; Department of Neuroscience, Brown University, Providence, RI 02912-1821, USA.
  • Frodl T; Department of Education and Psychology, Freie Universität Berlin, D-14195 Berlin, Germany.
  • Meyer-Lotz G; Department of Psychiatry and Psychotherapy, Otto-von-Guericke University, D-39106 Magdeburg, Germany.
  • Froböse S; Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen 52074, Germany.
  • Seidenbecher S; German Center for Mental Health (DZPG), D-39106 Magdeburg, Germany.
  • Klein TA; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, D-39106 Magdeburg, Germany.
  • Ullsperger M; Department of Psychiatry and Psychotherapy, Otto-von-Guericke University, D-39106 Magdeburg, Germany.
Brain ; 147(1): 201-214, 2024 01 04.
Article en En | MEDLINE | ID: mdl-38058203
Deficits in reward learning are core symptoms across many mental disorders. Recent work suggests that such learning impairments arise by a diminished ability to use reward history to guide behaviour, but the neuro-computational mechanisms through which these impairments emerge remain unclear. Moreover, limited work has taken a transdiagnostic approach to investigate whether the psychological and neural mechanisms that give rise to learning deficits are shared across forms of psychopathology. To provide insight into this issue, we explored probabilistic reward learning in patients diagnosed with major depressive disorder (n = 33) or schizophrenia (n = 24) and 33 matched healthy controls by combining computational modelling and single-trial EEG regression. In our task, participants had to integrate the reward history of a stimulus to decide whether it is worthwhile to gamble on it. Adaptive learning in this task is achieved through dynamic learning rates that are maximal on the first encounters with a given stimulus and decay with increasing stimulus repetitions. Hence, over the course of learning, choice preferences would ideally stabilize and be less susceptible to misleading information. We show evidence of reduced learning dynamics, whereby both patient groups demonstrated hypersensitive learning (i.e. less decaying learning rates), rendering their choices more susceptible to misleading feedback. Moreover, there was a schizophrenia-specific approach bias and a depression-specific heightened sensitivity to disconfirmational feedback (factual losses and counterfactual wins). The inflexible learning in both patient groups was accompanied by altered neural processing, including no tracking of expected values in either patient group. Taken together, our results thus provide evidence that reduced trial-by-trial learning dynamics reflect a convergent deficit across depression and schizophrenia. Moreover, we identified disorder distinct learning deficits.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Esquizofrenia / Trastorno Depresivo Mayor Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Esquizofrenia / Trastorno Depresivo Mayor Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article