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Behavioral and Neural Arguments of Motivational Influence on Decision Making During Uncertainty
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 motiva...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7290000/ https://www.ncbi.nlm.nih.gov/pubmed/32581698 http://dx.doi.org/10.3389/fnins.2020.00583 |
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author | Giustiniani, Julie Nicolier, Magali Teti Mayer, Juliana Chabin, Thibault Masse, Caroline Galmès, Nathan Pazart, Lionel Trojak, Benoit Bennabi, Djamila Vandel, Pierre Haffen, Emmanuel Gabriel, Damien |
author_facet | Giustiniani, Julie Nicolier, Magali Teti Mayer, Juliana Chabin, Thibault Masse, Caroline Galmès, Nathan Pazart, Lionel Trojak, Benoit Bennabi, Djamila Vandel, Pierre Haffen, Emmanuel Gabriel, Damien |
author_sort | Giustiniani, Julie |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7290000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72900002020-06-23 Behavioral and Neural Arguments of Motivational Influence on Decision Making During Uncertainty Giustiniani, Julie Nicolier, Magali Teti Mayer, Juliana Chabin, Thibault Masse, Caroline Galmès, Nathan Pazart, Lionel Trojak, Benoit Bennabi, Djamila Vandel, Pierre Haffen, Emmanuel Gabriel, Damien Front Neurosci Neuroscience 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. Frontiers Media S.A. 2020-06-05 /pmc/articles/PMC7290000/ /pubmed/32581698 http://dx.doi.org/10.3389/fnins.2020.00583 Text en Copyright © 2020 Giustiniani, Nicolier, Teti Mayer, Chabin, Masse, Galmès, Pazart, Trojak, Bennabi, Vandel, Haffen and Gabriel. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Giustiniani, Julie Nicolier, Magali Teti Mayer, Juliana Chabin, Thibault Masse, Caroline Galmès, Nathan Pazart, Lionel Trojak, Benoit Bennabi, Djamila Vandel, Pierre Haffen, Emmanuel Gabriel, Damien Behavioral and Neural Arguments of Motivational Influence on Decision Making During Uncertainty |
title | Behavioral and Neural Arguments of Motivational Influence on Decision Making During Uncertainty |
title_full | Behavioral and Neural Arguments of Motivational Influence on Decision Making During Uncertainty |
title_fullStr | Behavioral and Neural Arguments of Motivational Influence on Decision Making During Uncertainty |
title_full_unstemmed | Behavioral and Neural Arguments of Motivational Influence on Decision Making During Uncertainty |
title_short | Behavioral and Neural Arguments of Motivational Influence on Decision Making During Uncertainty |
title_sort | behavioral and neural arguments of motivational influence on decision making during uncertainty |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7290000/ https://www.ncbi.nlm.nih.gov/pubmed/32581698 http://dx.doi.org/10.3389/fnins.2020.00583 |
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