Positive affect modulates memory by regulating the influence of reward prediction errors

Area of Science:

• Cognitive Neuroscience
• Neuroeconomics
• Affective Science

Background:

• The interplay between decision-making, reward processing, and memory remains incompletely understood.
• Reward prediction errors (RPEs) are crucial signals for learning optimal decisions and may influence memory consolidation.
• Dysfunctional memory processes are implicated in various mood disorders.

Purpose of the Study:

• To investigate how RPEs, signals of reward discrepancies, impact memory.
• To explore the role of positive affect in modulating the RPE-memory relationship.
• To examine potential computational mechanisms underlying biased memory in mood disorders.

Main Methods:

• A large cohort of human participants completed a task involving decision-making with probabilistic rewards linked to memorable stimuli.
• A subsequent recognition test assessed memory for the stimuli.
• Computational modeling was employed to analyze the relationship between RPEs, affect, and memory performance.

Main Results:

• Positive RPEs significantly enhanced memory accuracy and the temporal efficiency of memory search, independent of perceptual factors.
• Positive affect was found to upregulate the beneficial effects of RPEs on memory.
• These findings suggest a selective regulatory role of affect on RPE-driven memory modulation.

Conclusions:

• RPEs provide a mechanism by which decisions influence memory, enhancing both accuracy and search efficiency.
• Affective states, particularly positive affect, can selectively amplify these RPE-driven memory benefits.
• This research offers a computational framework for understanding affect-biased memory, relevant to mood disorder research.