Evidence map›Paper›PMID 38058203›Full record

ArticleBrain : a journal of neurology2024

Transdiagnostic inflexible learning dynamics explain deficits in depression and schizophrenia.

Hans Kirschner, Matthew R Nassar, Adrian G Fischer, Thomas Frodl, Gabriela Meyer-Lotz, Sören Froböse, Stephanie Seidenbecher, Tilmann A Klein, Markus Ullsperger

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Hans KirschnerInstitute of Psychology, Otto-von-Guericke University, D-39106 Magdeburg, Germany.ORCID 0000-0001-9747-1746
Matthew R NassarRobert J. and Nancy D. Carney Institute for Brain Science, Brown University, Providence, RI 02912-1821, USA.ORCID 0000-0002-5397-535X
Adrian G FischerDepartment of Education and Psychology, Freie Universität Berlin, D-14195 Berlin, Germany.
Thomas FrodlDepartment of Psychiatry and Psychotherapy, Otto-von-Guericke University, D-39106 Magdeburg, Germany.
Gabriela Meyer-LotzDepartment of Psychiatry and Psychotherapy, Otto-von-Guericke University, D-39106 Magdeburg, Germany.
Sören FroböseDepartment of Psychiatry and Psychotherapy, Otto-von-Guericke University, D-39106 Magdeburg, Germany.
Stephanie SeidenbecherDepartment of Psychiatry and Psychotherapy, Otto-von-Guericke University, D-39106 Magdeburg, Germany.
Tilmann A KleinInstitute of Psychology, Otto-von-Guericke University, D-39106 Magdeburg, Germany.
Markus UllspergerInstitute of Psychology, Otto-von-Guericke University, D-39106 Magdeburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Major Depressive DisorderSchizophreniaDepressionHumansLearningRewardcomputational psychiatrydepressionEEGreward learningschizophrenia

Identifiers

PMID38058203
PMCPMC10766268

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.