Behavioral and Neural Arguments of Motivational Influence on Decision Making During Uncertainty.

EEfRT IGT P300 decision-making effort motivation uncertainty

Journal

Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481

Informations de publication

Date de publication:
2020
Historique:
received: 14 01 2020
accepted: 12 05 2020
entrez: 26 6 2020
pubmed: 26 6 2020
medline: 26 6 2020
Statut: epublish

Résumé

The scientific world is increasingly interested in motivation, primarily due to the suspected impact on decision-making abilities, particularly in uncertain conditions. To explore this plausible relationship, 28 healthy participants were included in the study and performed decision-making and motivational tasks while their neural activity was recorded. All participants performed the Iowa Gambling Task (IGT) and were split into two groups based on their score, one favorable group with 14 participants who performed advantageously and one undecided group with 14 participants who failed to develop the correct strategy on the IGT. In addition, all participants performed the Effort Expenditure for Reward Task (EEfRT), which defines the motivational level of each participant by the effort that participants agree to do in function of reward magnitudes and probabilities to receive these reward (10, 50, and 90%). The completion of both tasks allowed for the exploration of the relationship between the motivational level and decision-making abilities. The EEfRT was adapted to electroencephalography (EEG) recordings to explore how motivation could influence reward experience. Behavioral results showed no difference in EEfRT performances on the whole task between the two groups' performances on the IGT. However, there was a negative correlation between the difficulty to develop an optimal strategy on the IGT and the percentage of difficult choices at the 90% condition on the EEfRT. Each probability condition has been previously associated to different motivational and emotional states, with the 90% condition associated to the reward sensitivity. This behavioral result leads to the hypothesis that reward sensitivity may induce an inability to develop an optimal strategy on the IGT. Group analysis demonstrated that only the undecided group showed a P300 during the processing of the outcome, whereas the favorable group showed a blunted P300. Similarly, there was a negative correlation between the P300 amplitude and the ability to develop an optimal strategy on the IGT. In conclusion, behavioral and neuronal data provides evidence that the propensity to focus only on the immediate outcomes is related to the development of an inefficient strategy on the IGT, without influence of motivation.

Identifiants

pubmed: 32581698
doi: 10.3389/fnins.2020.00583
pmc: PMC7290000
doi:

Types de publication

Journal Article

Langues

eng

Pagination

583

Informations de copyright

Copyright © 2020 Giustiniani, Nicolier, Teti Mayer, Chabin, Masse, Galmès, Pazart, Trojak, Bennabi, Vandel, Haffen and Gabriel.

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Auteurs

Julie Giustiniani (J)

Department of Clinical Psychiatry, University Hospital of Besançon, Besançon, France.
EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, Besançon, France.
Clinical Investigation Centre, University Hospital of Besançon, Besançon, France.

Magali Nicolier (M)

Department of Clinical Psychiatry, University Hospital of Besançon, Besançon, France.
EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, Besançon, France.
Clinical Investigation Centre, University Hospital of Besançon, Besançon, France.
Neuroimaging and neurostimulation department Neuraxess, University of Burgundy Franche-Comté, Besançon, France.

Juliana Teti Mayer (J)

Department of Clinical Psychiatry, University Hospital of Besançon, Besançon, France.
EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, Besançon, France.

Thibault Chabin (T)

EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, Besançon, France.

Caroline Masse (C)

Department of Clinical Psychiatry, University Hospital of Besançon, Besançon, France.
EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, Besançon, France.

Nathan Galmès (N)

EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, Besançon, France.

Lionel Pazart (L)

EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, Besançon, France.
Clinical Investigation Centre, University Hospital of Besançon, Besançon, France.

Benoit Trojak (B)

Fondation FondaMental, Hôpital Albert Chenevier, Créteil, France.
Department of Psychiatry and Addictology, University Hospital of Dijon, Dijon, France.
EA 4452, LPPM, University of Burgundy Franche-Comté, Dijon, France.

Djamila Bennabi (D)

Department of Clinical Psychiatry, University Hospital of Besançon, Besançon, France.
EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, Besançon, France.
Fondation FondaMental, Hôpital Albert Chenevier, Créteil, France.

Pierre Vandel (P)

Department of Clinical Psychiatry, University Hospital of Besançon, Besançon, France.
EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, Besançon, France.
Clinical Investigation Centre, University Hospital of Besançon, Besançon, France.

Emmanuel Haffen (E)

Department of Clinical Psychiatry, University Hospital of Besançon, Besançon, France.
EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, Besançon, France.
Clinical Investigation Centre, University Hospital of Besançon, Besançon, France.
Fondation FondaMental, Hôpital Albert Chenevier, Créteil, France.

Damien Gabriel (D)

EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, Besançon, France.
Clinical Investigation Centre, University Hospital of Besançon, Besançon, France.
Neuroimaging and neurostimulation department Neuraxess, University of Burgundy Franche-Comté, Besançon, France.

Classifications MeSH