Distinct neural oscillations predict individual differences in feedback-guided cognitive flexibility
Judith Sattelberger1,2, Hamed Haque1,3, Liu Mengxing4
1Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, FI-00014 Helsinki, Finland.
Cerebral Cortex (New York, N.Y. : 1991)
|August 10, 2026
Summary
Cognitive flexibility, the ability to adapt decisions, varies greatly between individuals. This study links learning speed to feedback sensitivity and brain oscillations, revealing neural signatures for flexible decision-making under uncertainty.
Area of Science:
- Neuroscience
- Cognitive Science
- Psychology
Background:
- Cognitive flexibility is crucial for adapting to changing environments and making decisions under uncertainty.
- The neural mechanisms underlying cognitive flexibility and its modulation by individual feedback sensitivity remain largely unknown.
- Interindividual variability in cognitive flexibility is substantial, necessitating research into its underlying computational and neural basis.
Purpose of the Study:
- To investigate the neural mechanisms of cognitive flexibility and its relationship with individual feedback sensitivity.
- To identify the brain oscillatory signatures associated with individual differences in learning speed and decision-making under uncertainty.
- To elucidate how feedback sensitivity influences the maintenance and updating of cognitive representations.
Main Methods:
- Utilized the Wisconsin Card Sorting Test (WCST) to measure cognitive flexibility and learning speed under uncertainty.
- Employed magnetoencephalography (MEG) to record brain activity during task performance.
- Applied a behavioral sequential learning model to analyze interindividual variability and predict performance based on feedback sensitivity and exploration tendencies.
Main Results:
- Individual learning speed in cognitive flexibility tasks showed significant interindividual variability.
- Learning speed was predicted by suppressed alpha-beta amplitudes, increased gamma amplitudes, and alpha desynchronization.
- Distinct neural oscillatory profiles were identified for learning from positive versus negative feedback cues, linked to individual feedback sensitivity levels.
Conclusions:
- Cognitive flexibility relies on specific neural sub-computations involving feedback-guided contextual maintenance and updating.
- Individual differences in cognitive flexibility are significantly influenced by feedback sensitivity and exploration tendencies.
- Neural oscillations, particularly in alpha, beta, and gamma bands, play a critical role in flexible, feedback-driven decision-making.
