Katja Wiech

This study develops a brain-based biomarker, PARES, that predicts both pain increases and relief in individuals using fMRI data.

The paper uses high-resolution fMRI to show that sensory and cognitive influences on pain are processed in distinct cortical layers, linking circuit organization to behavioral outcomes.

This study compares neural mechanisms of placebo analgesia induced by verbal suggestions and conditioning, finding distinct brain activity patterns and enhanced analgesia when combined.

This study compares neural mechanisms of appetitive and aversive pain-related learning using fMRI, finding shared and distinct brain activity patterns during acquisition and extinction.

The paper shows that trait anxiety is linked to greater reliance on hidden-state inference during aversive reversal learning, as evidenced by steeper expectation switches and better model fit for state inference over gradual learning.

This study uses a drift-diffusion model and probabilistic cueing to show that the DLPFC contributes to decision bias in pain perception, with interactions involving the PAG.

This study investigates endometriosis-associated pain using a large cohort questionnaire, finding a significant neuropathic-like component in a substantial proportion of patients.

This study shows pulmonary rehabilitation reduces breathlessness in COPD by altering brain activity related to learned associations, with greater baseline brain activity linked to larger treatment benefits.