Moritz M. Nickel

This study uses EEG to show that within-person pain encoding is stable across time and cohorts, while between-person differences are less consistent.

This study investigates whether expectation affects repetition suppression in nociception using EEG and physiological data, finding no significant differences between expected and unexpected stimulus repetitions.

This study examines intrinsic brain network function in chronic pain using EEG data from 537 individuals, finding some replicable associations but highlighting the need for collaborative research.

DISCOVER-EEG is an open, automated EEG pipeline that preprocesses, analyzes, and visualizes resting state EEG data to extract brain function features, tested on two large datasets.

This study investigates how sensory and expectation effects on pain are mediated by distinct brain mechanisms through local oscillations and inter-regional connectivity.

This study investigates how sensory information and expectations influence pain processing in the brain using EEG, finding that sensory information shapes evoked responses while expectations affect oscillatory activity before stimuli.

This study investigates whether tACS can modulate pain and autonomic responses in healthy humans but finds no significant effects, suggesting the need for refined protocols.

This study uses microstate analysis of resting-state EEG to find that chronic pain patients show reduced prominence of microstate D, associated with attentional networks.

This study uses resting-state EEG to identify abnormal frontal theta and gamma synchrony in chronic pain patients, suggesting potential targets for non-invasive brain stimulation.