当前位置: X-MOL 学术Front. Neurosci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Behavioral and Neural Arguments of Motivational Influence on Decision Making During Uncertainty
Frontiers in Neuroscience ( IF 3.2 ) Pub Date : 2020-06-05 , DOI: 10.3389/fnins.2020.00583
Julie Giustiniani 1, 2, 3 , Magali Nicolier 1, 2, 3, 4 , Juliana Teti Mayer 1, 2 , Thibault Chabin 2 , Caroline Masse 1, 2 , Nathan Galmès 2 , Lionel Pazart 2, 3 , Benoit Trojak 5, 6, 7 , Djamila Bennabi 1, 2, 5 , Pierre Vandel 1, 2, 3 , Emmanuel Haffen 1, 2, 3, 5 , Damien Gabriel 2, 3, 4
Affiliation  

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.

中文翻译:

不确定性期间动机对决策的影响的行为和神经论证

科学界对动机越来越感兴趣,主要是因为它可能对决策能力产生影响,尤其是在不确定的条件下。为了探索这种似是而非的关系,28 名健康参与者被纳入研究,并在记录他们的神经活动的同时执行决策和激励任务。所有参与者都执行了爱荷华州赌博任务 (IGT),并根据他们的分数分为两组,一组有 14 名表现有利的参与者,另一组有 14 名未能在 IGT 上制定正确策略的参与者。此外,所有参与者都执行了奖励任务的努力支出(EEfRT),它通过参与者同意根据奖励幅度和获得这些奖励的概率(10%、50% 和 90%)所做的努力来定义每个参与者的动机水平。这两项任务的完成允许探索动机水平和决策能力之间的关系。EefRT 适用于脑电图 (EEG) 记录,以探索动机如何影响奖励体验。行为结果显示,两组在 IGT 上的表现在整个任务上的 EefRT 表现没有差异。然而,在 IGT 上制定最佳策略的难度与 EEfRT 上 90% 条件下的困难选择百分比之间存在负相关。每个概率条件之前都与不同的动机和情绪状态相关联,其中 90% 的条件与奖励敏感性相关。这种行为结果导致假设奖励敏感性可能导致无法在 IGT 上制定最佳策略。组分析表明,只有未决定组在结果处理过程中显示 P300,而有利组则显示钝化 P300。同样,P300 振幅与在 IGT 上制定最佳策略的能力之间存在负相关。总之,行为和神经元数据提供的证据表明,只关注直接结果的倾向与 IGT 上低效策略的发展有关,而不受动机的影响。与奖励敏感性相关的 90% 条件。这种行为结果导致假设奖励敏感性可能导致无法在 IGT 上制定最佳策略。组分析表明,只有未决定组在结果处理过程中显示 P300,而有利组则显示钝化 P300。同样,P300 振幅与在 IGT 上制定最佳策略的能力之间存在负相关。总之,行为和神经元数据提供的证据表明,只关注直接结果的倾向与 IGT 上低效策略的发展有关,而不受动机的影响。与奖励敏感性相关的 90% 条件。这种行为结果导致假设奖励敏感性可能导致无法在 IGT 上制定最佳策略。组分析表明,只有未决定组在结果处理过程中显示 P300,而有利组则显示钝化 P300。同样,P300 振幅与在 IGT 上制定最佳策略的能力之间存在负相关。总之,行为和神经元数据提供的证据表明,只关注直接结果的倾向与 IGT 上低效策略的发展有关,而不受动机的影响。这种行为结果导致假设奖励敏感性可能导致无法在 IGT 上制定最佳策略。组分析表明,只有未决定组在结果处理过程中显示 P300,而有利组则显示钝化 P300。同样,P300 振幅与在 IGT 上制定最佳策略的能力之间存在负相关。总之,行为和神经元数据提供的证据表明,只关注直接结果的倾向与 IGT 上低效策略的发展有关,而不受动机的影响。这种行为结果导致假设奖励敏感性可能导致无法在 IGT 上制定最佳策略。组分析表明,只有未决定组在结果处理过程中显示 P300,而有利组则显示钝化 P300。同样,P300 振幅与在 IGT 上制定最佳策略的能力之间存在负相关。总之,行为和神经元数据提供的证据表明,只关注直接结果的倾向与 IGT 上低效策略的发展有关,而不受动机的影响。P300 振幅与在 IGT 上制定最佳策略的能力之间存在负相关。总之,行为和神经元数据提供的证据表明,只关注直接结果的倾向与 IGT 上低效策略的发展有关,而不受动机的影响。P300 振幅与在 IGT 上制定最佳策略的能力之间存在负相关。总之,行为和神经元数据提供的证据表明,只关注即时结果的倾向与 IGT 上低效策略的发展有关,而不受动机的影响。
更新日期:2020-06-05
down
wechat
bug