Cited by 50Suicide and Self-Harm StudiesNeural and Behavioral Psychology StudiesDecision-Making and Behavioral Economics

Cognitive modelling to assess decision-making impairments in patients with current depression and with/without suicide history

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Alacreu-Crespo, A., Guillaume, S., Sénèque, M., Olié, E., Courtet, P.·2020·European Neuropsychopharmacology

Abstract

It has been reported that decision making is impaired in suicide attempters. Decision making is a complex process and little is known about its different components. Yet, this information would help to understand the functioning of suicidal minds. In this study, the Prospect Valence-Learning (PVL) computational model was applied to the Iowa Gambling Task (IGT) to investigate and compare decision-making components in patients with affective disorder and with/without history of suicide attempts and in healthy controls. To this aim, 116 inpatients with current major depressive episode (among whom 62 suicide attempters) and 38 healthy controls were recruited. Decision-making performance was measured using the IGT. The Bayesian computational PVL model was applied to compare the feedback sensitivity, loss aversion, learning/memory, and choice consistency components of decision making in the different groups. Depressive symptomatology was assessed using the Beck Depression Inventory short form (BDI-SF). The total IGT net score and the loss aversion and learning/memory scores were lower in suicide attempters than in healthy controls. The choice consistency score was low in all patients (with/without suicide history) compared with healthy controls. Moreover, patients with high BDI score showed a positive relationship between the choice consistency score and suicide attempt. These findings suggest that decision-making impairment in depressed patients with and without suicidal history might be the result of underlying problems in feedback processing and task learning, which influence the building of long-term strategies. All these impairments should be targeted in therapeutic strategies for suicidal patients.

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Crossref · 10.1016/j.euroneuro.2020.04.006

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  • In one recent study of the Iowa Gambling Task, Bayesian analysis of decision-making performance demonstrated that suicide attempters exhibited greater loss aversion than depressed controls or healthy volunteers.

    “For example, in one recent study of the Iowa Gambling Task, Bayesian analysis of decision-making performance demonstrated that suicide attempters exhibited greater loss aversion than depressed controls or healthy volunteers (63); similar approaches to the suicide-specific tasks may provide further insight into how suicide-related biases change after an intervention.”

    From New methods for assessing rapid changes in suicide risk (2021) · cites this paper as [63]

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Authors
Alacreu-Crespo, A., Guillaume, S., Sénèque, M., Olié, E., & Courtet, P.
Affiliations
Inserm (FR)
Venue
European Neuropsychopharmacology
Publisher
Elsevier BV
Published
2020-07
Volume
36
Pages
50-59
ISSN
0924-977X (ISSN-L)
OpenAlex
W3028566326
Cited by
50
References
61
Citations by year
2026: 5 · 2025: 7 · 2024: 7 · 2023: 11 · 2022: 11 · 2021: 9
FWCI
3.09
Type
journal article
Language
en
Open access
Locations
  • European Neuropsychopharmacology (acceptedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
Keywords
decision-making, depression, suicide attempts, Iowa Gambling Task, loss aversion, feedback sensitivity, learning and memory, decision consistency, major depressive episode, suicidal behavior
MeSH terms
Adult, Aged, Cognition, Decision Making, Major Depressive Disorder, Female, Gambling, Humans, Male, Middle Aged, Suicide, Attempted, Young Adult, Suicidal Ideation

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