Markus Ploner

EEG Reveals Robust Within-Person but Unstable Between-Person Neural Encoding of Pain

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

Expectation effects on repetition suppression in nociception

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.

Assessing the predictive value of peak alpha frequency for the sensitivity to pain

This study investigates whether peak alpha frequency predicts sensitivity to brief experimental pain and finds no consistent evidence for such a relationship.

Effects of Centrally Acting Analgesics on Resting-State Electroencephalography Biomarker Candidates of Chronic Pain

This study investigates the effects of centrally acting analgesics on rsEEG biomarkers of chronic pain and finds no significant medium to large effects.

Assessing the balance between excitation and inhibition in chronic pain through the aperiodic component of EEG

This study investigates whether the aperiodic component of EEG in the medial prefrontal cortex can differentiate between individuals with chronic pain and healthy controls, finding no significant differences.

Resting-State Electroencephalography and Magnetoencephalography in Migraine - A Systematic Review and Meta-Analysis

This study reviews and analyzes resting-state M/EEG data from 27 studies on migraine, finding increased theta power and reduced alpha/beta connectivity in interictal migraineurs.

EEG-based analysis of intrinsic brain network function in chronic pain: Insights from a comprehensive multi-data set study

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.

Beyond oscillations - A novel feature space for characterizing brain states

This paper introduces new features for characterizing brain states using MEG data and shows they outperform traditional frequency-based features in classification across participants.

DISCOVER-EEG: an open, fully automated EEG pipeline for biomarker discovery in clinical neuroscience

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.

Local brain oscillations and inter-regional connectivity differentially serve sensory and expectation effects on pain

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

Temporal-spectral signaling of sensory information and expectations in the cerebral processing of pain

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.

Modulating Brain Rhythms of Pain using Transcranial Alternating Current Stimulation (tACS)? A Sham-controlled Study in Healthy Human Participants

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.

Dynamics of brain function in chronic pain patients assessed by microstate analysis of resting-state electroencephalography

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.

Brain dysfunction in chronic pain patients assessed by resting-state electroencephalography

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.