Expectations of reward and efficacy guide cognitive control allocation

Area of Science:

• Cognitive Neuroscience
• Decision Science
• Behavioral Economics

Background:

• Mental effort investment is typically linked to expected task rewards.
• However, rewards are often influenced by external factors, limiting the efficacy of individual effort.
• This creates a challenge in determining optimal effort allocation.

Purpose of the Study:

• To test the behavioral and neural predictions of the Expected Value of Control theory.
• To investigate how individuals integrate reward expectations and efficacy to guide mental effort.
• To examine the separate neural modulation of incentive evaluation and control allocation.

Main Methods:

• Participants performed tasks with varying reward magnitudes and efficacy levels.
• Behavioral measures of cognitive control allocation were recorded.
• Electroencephalography (EEG) was used to capture neural signatures related to incentive processing and control.

Main Results:

• Participants increased cognitive control allocation when rewards were higher and efficacy was greater.
• EEG data revealed distinct neural signatures for incentive evaluation and proactive control.
• These neural signals were modulated separately by reward and efficacy components.

Conclusions:

• The findings support the Expected Value of Control theory.
• Individuals dynamically adjust mental effort based on integrated expectations of reward and control efficacy.
• This provides a framework for understanding effort-based decision-making under uncertainty.