Department of Cognition, Development and Educational Psychology, Institute of Neurosciences, University of Barcelona, Barcelona, Spain; Cognition and Brain Plasticity Unit, Bellvitge Biomedical Research Institute, Hospital Duran i Reynals, Hospitalet de Llobregat, Spain.
Department of Cognition, Development and Educational Psychology, Institute of Neurosciences, University of Barcelona, Barcelona, Spain; Cognition and Brain Plasticity Unit, Bellvitge Biomedical Research Institute, Hospital Duran i Reynals, Hospitalet de Llobregat, Spain.
Cortex. 2024 Jul;176:94-112. doi: 10.1016/j.cortex.2024.03.014. Epub 2024 Apr 30.
The ability to weigh a reward against the effort required to acquire it is critical for decision-making. However, extant experimental paradigms oftentimes confound increased effort demand with decreased reward probability, thereby obscuring neural correlates underlying these cognitive processes. To resolve this issue, we designed novel tasks that disentangled probability of success - and therefore reward probability - from effort demand. In Experiment 1, reward magnitude and effort demand were varied while reward probability was kept constant. In Experiment 2, effort demand and reward probability were varied while reward magnitude remained fixed. Electroencephalogram (EEG) data was recorded to explore how frontal midline theta (FMT; an electrophysiological index of mPFC function) and component P3 (an index of incentive salience) respond to effort demand, and reward magnitude and probability. We found no evidence that FMT tracked effort demands or net value during cue evaluation. At feedback, however, FMT power was enhanced for high compared to low effort trials, but not modulated by reward magnitude or probability. Conversely, P3 was sensitive to reward magnitude and probability at both cue and feedback phases and only integrated expended effort costs at feedback, such that P3 amplitudes continued to scale with reward magnitude and probability but were also increased for high compared to low effort reward feedback. These findings suggest that, when likelihood of success is equal, FMT power does not track net value of prospective effort-based rewards. Instead, expended cognitive effort potentiates FMT power and enhances the saliency of rewards at feedback. SIGNIFICANCE STATEMENT: The way the brain weighs rewards against the effort required to achieve them is critical for understanding motivational disorders. Current paradigms confound increased effort demand with decreased reward probability, making it difficult to disentangle neural activity associated with effort costs from those associated with reward likelihood. Here, we explored the temporal dynamics of effort-based reward (via frontal midline theta (FMT) and component P3) while participants underwent a novel paradigm that kept probability of reward constant between mental effort demand conditions. Our findings suggest that the FMT does not track net value and that expended effort enhances, instead of attenuates, the saliency of rewards.
衡量奖励与获得奖励所需努力之间的关系对于决策至关重要。然而,现有的实验范式往往将努力需求的增加与奖励概率的降低混淆在一起,从而掩盖了这些认知过程背后的神经相关性。为了解决这个问题,我们设计了新颖的任务,将成功的概率(因此是奖励的概率)与努力需求分开。在实验 1 中,奖励的大小和努力的需求是变化的,而奖励的概率是不变的。在实验 2 中,努力的需求和奖励的概率是变化的,而奖励的大小是固定的。记录脑电图(EEG)数据以探索前额中线 theta(FMT;mPFC 功能的电生理指标)和成分 P3(激励显著性的指标)如何响应努力需求以及奖励的大小和概率。我们没有发现证据表明 FMT 在线索评估期间跟踪努力需求或净价值。然而,在反馈时,高努力与低努力相比,FMT 功率增强,但不受奖励大小或概率的调节。相反,P3 在线索和反馈阶段都对奖励大小和概率敏感,并且仅在反馈时整合所花费的努力成本,因此 P3 幅度继续与奖励大小和概率成比例,但对于高努力与低努力的奖励反馈也增加。这些发现表明,当成功的可能性相等时,FMT 功率不会跟踪预期基于努力的奖励的净价值。相反,所花费的认知努力增强了 FMT 功率,并在反馈时增强了奖励的显著性。
大脑权衡奖励与获得它们所需的努力的方式对于理解动机障碍至关重要。当前的范式将努力需求的增加与奖励概率的降低混淆在一起,使得难以将与努力成本相关的神经活动与与奖励可能性相关的神经活动分开。在这里,我们在参与者经历一种新颖的范式时探索了基于努力的奖励的时间动态(通过前额中线 theta(FMT)和成分 P3),该范式在心理努力需求条件之间保持奖励的概率不变。我们的发现表明,FMT 不跟踪净价值,并且所花费的努力增强了奖励的显著性,而不是削弱了奖励的显著性。