dc.contributor.author
Kirschner, Hans
dc.contributor.author
Nassar, Matthew R.
dc.contributor.author
Fischer, Adrian G.
dc.contributor.author
Frodl, Thomas
dc.contributor.author
Meyer-Lotz, Gabriela
dc.contributor.author
Froböse, Sören
dc.contributor.author
Seidenbecher, Stephanie
dc.contributor.author
Klein, Tilmann A.
dc.contributor.author
Ullsperger, Markus
dc.date.accessioned
2024-01-23T12:16:59Z
dc.date.available
2024-01-23T12:16:59Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/42154
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-41879
dc.description.abstract
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.
en
dc.format.extent
14 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by-nc/4.0/
dc.subject
reward learning
en
dc.subject
computational psychiatry
en
dc.subject
schizophrenia
en
dc.subject.ddc
100 Philosophie und Psychologie::150 Psychologie::150 Psychologie
dc.title
Transdiagnostic inflexible learning dynamics explain deficits in depression and schizophrenia
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1093/brain/awad362
dcterms.bibliographicCitation.journaltitle
Brain
dcterms.bibliographicCitation.number
1
dcterms.bibliographicCitation.pagestart
201
dcterms.bibliographicCitation.pageend
214
dcterms.bibliographicCitation.volume
147
dcterms.bibliographicCitation.url
https://doi.org/10.1093/brain/awad362
refubium.affiliation
Erziehungswissenschaft und Psychologie
refubium.affiliation.other
Arbeitsbereich Biological Psychology and Cognitive Neuroscience
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1460-2156
refubium.resourceType.provider
WoS-Alert