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
Department of Clinical Psychiatry, University Hospital of Besançon, Besançon, France.
EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, Besançon, France.
Front Neurosci. 2020 Jun 5;14:583. doi: 10.3389/fnins.2020.00583. eCollection 2020.
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.
科学界对动机的兴趣日益浓厚,主要是因为怀疑其对决策能力有影响,尤其是在不确定的情况下。为了探究这种可能的关系,该研究纳入了28名健康参与者,他们在进行决策和动机任务时记录其神经活动。所有参与者都进行了爱荷华赌博任务(IGT),并根据得分分为两组,一组是14名表现出色的有利组,另一组是14名在IGT上未能制定正确策略的未决组。此外,所有参与者都进行了奖励努力支出任务(EEfRT),该任务根据参与者根据奖励大小和获得这些奖励的概率(10%、50%和90%)同意付出的努力来定义每个参与者的动机水平。两项任务的完成使得能够探究动机水平与决策能力之间的关系。EEfRT被改编用于脑电图(EEG)记录,以探究动机如何影响奖励体验。行为结果显示,两组在IGT上的表现对整个任务的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。每个概率条件先前都与不同的动机和情绪状态相关联,90%条件与奖励敏感性相关联。这一行为结果导致了这样一种假设,即奖励敏感性可能导致在IGT上无法制定最佳策略。组间分析表明,只有未决组在结果处理过程中出现了P300,而有利组的P300则减弱。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了证据,表明仅关注即时结果的倾向与在IGT上制定低效策略有关,而不受动机的影响。