Anita Tusche

The paper develops fMRI classifiers to predict self- and other-related mentalizing, showing high accuracy and distinct neural patterns across different populations and conditions.

This study shows that subjective value signals in the brain's valuation circuits can be computed without conscious awareness of the stimuli.

The paper uses gradient-based brain organization to predict individual differences in emotion regulation success across two fMRI datasets.

The paper links social perception biases and sensitivities to altruistic behavior using fMRI and computational modeling.

The paper shows that dlPFC activation during normative choices is better explained by evidence accumulation than self-control mechanisms.