Thomas P. Hein

This study links altered oscillatory activity in ACC and mPFC to changes in Bayesian predictive coding signatures in subclinical trait anxiety using MEG and computational modeling.

This study investigates how state anxiety affects neural oscillatory activity related to predictions and prediction errors during reward learning, finding increased beta activity in specific brain regions.

The paper shows that state anxiety in healthy individuals leads to biased uncertainty estimates and impaired reward learning in volatile environments.

This study shows that anxiety impairs reward-based motor learning by altering sensorimotor beta oscillations and volatility estimation.