Enhanced behavioural and neural sensitivity to punishments in chronic pain and fatigue.

Chronic pain and fatigue in musculoskeletal disease contribute significantly to disability, and recent studies suggest an association with reduced motivation and excessive fear avoidance. In this behavioural neuroimaging study, we aimed to identify the specific behavioral and neural changes associated with musculoskeletal pain and fatigue during reward and loss decision-making. Twenty-nine participants with chronic inflammatory arthritis and 28 healthy controls performed an instrumental learning task (4-armed bandit) during 3T brain fMRI.

How the magnitude and precision of pain predictions shape pain experiences.

Background: In Bayesian models including predictive processing, the magnitude and precision of pain expectancies are key determinants of perception. However, relatively few studies have directly tested whether this holds for pain, and results so far have been inconclusive. Here, we investigated expectancy effects on pain experiences and associated affective responses.

Statistical learning shapes pain perception and prediction independently of external cues.

The placebo and nocebo effects highlight the importance of expectations in modulating pain perception, but in everyday life we don't need an external source of information to form expectations about pain. The brain can learn to predict pain in a more fundamental way, simply by experiencing fluctuating, non-random streams of noxious inputs, and extracting their temporal regularities. This process is called statistical learning.

Nano-achiral complex composites for extreme polarization optics.

Composites from 2D nanomaterials show uniquely high electrical, thermal and mechanical properties. Pairing their robustness with polarization rotation is needed for hyperspectral optics in extreme conditions. However, the rigid nanoplatelets have randomized achiral shapes, which scramble the circular polarization of photons with comparable wavelengths.