Nicholas Shenker

This study identifies increased punishment sensitivity and specific neural activity patterns in chronic pain and fatigue patients during decision-making tasks.

This study investigates statistical learning impairments in CRPS patients using a hierarchical Bayesian model, finding reduced precision in tactile-spatial predictions compared to healthy controls.

This study uses machine learning and deep learning to classify chronic back pain patients based on brain network patterns, finding consistent changes in network topology and modular reorganisation.

The paper identifies altered tactile processing in CRPS patients through somatosensory-evoked potentials, showing variability in cognitive mechanisms and potential biomarkers for clinical use.