Renoud-Grappin Rémi, Gabriel Damien, Broussard Emmanuelle, Mourot Laurent, Giustiniani Julie, Pazart Lionel
Université Marie et Louis Pasteur, INSERM, UMR 1322 LINC, Besançon, France.
CHU Besançon, Inserm CIC 1431, Besançon, France.
PLoS One. 2025 May 27;20(5):e0312981. doi: 10.1371/journal.pone.0312981. eCollection 2025.
Although motivation is a central aspect of the practice of a physical activity, it is a challenging endeavour to predict an individual's level of motivation during the activity. The objective of this study was to assess the feasibility of measuring motivation through brain recording methods during physical activity, with a specific focus on cycling. The experiment employed the Effort Expenditure for Reward Task (EEfRT), a decision-making task based on effort and reward, conducted under two conditions: one involving cycling on an ergometer at moderate intensity and the other without cycling. The P300, an event-related potential linked to motivation, was recorded using electroencephalography. A total of 20 participants were recruited to complete the EEfRT, which involved making effort-based decisions of increasing difficulty in order to receive varying levels of monetary reward. The results demonstrated that the P300 amplitude was influenced by the act of cycling, exhibiting a reduction during the cycling session. This reduction may be explained by a reallocation of cognitive resources due to the exertion of physical effort, which is consistent with the transient hypofrontality theory. In terms of behaviour, participants demonstrated a tendency to make more challenging choices when the potential rewards were higher or the probability of gaining them was lower. This pattern was observed in both the cycling and non-cycling conditions. A positive correlation was identified between P300 amplitude and the proportion of difficult choices, particularly under conditions of low reward probability. This suggests that P300 may serve as a neural marker of motivation. The study demonstrates the feasibility of using electroencephalography to monitor motivation during exercise in real-time, with potential applications in rehabilitation settings. However, further research is required to refine the design and explore the effects of different exercise types on motivation.
尽管动机是体育活动实践的核心方面，但预测个体在活动中的动机水平是一项具有挑战性的工作。本研究的目的是评估在体育活动期间通过脑记录方法测量动机的可行性，特别关注骑自行车。该实验采用了奖励任务的努力支出（EEfRT），这是一项基于努力和奖励的决策任务，在两种条件下进行：一种是在测力计上以中等强度骑自行车，另一种是不骑自行车。使用脑电图记录与动机相关的事件相关电位P300。总共招募了20名参与者来完成EEfRT，该任务涉及做出难度逐渐增加的基于努力的决策，以便获得不同水平的金钱奖励。结果表明，P300振幅受骑自行车行为的影响，在骑行过程中呈现下降。这种下降可能是由于体力消耗导致认知资源重新分配来解释的，这与短暂性额叶功能减退理论一致。在行为方面，当潜在奖励更高或获得奖励的概率更低时，参与者表现出做出更具挑战性选择的倾向。在骑自行车和不骑自行车的条件下均观察到这种模式。在P300振幅与困难选择的比例之间发现了正相关，特别是在低奖励概率的条件下。这表明P300可能作为动机的神经标志物。该研究证明了使用脑电图实时监测运动期间动机的可行性，在康复环境中具有潜在应用。然而，需要进一步研究来完善设计并探索不同运动类型对动机的影响。
