Stefan Debener

This study investigates how pre-sensorimotor brain activity affects TMS-evoked potentials during motor imagery, finding that trial-by-trial variability in brain states influences TEP amplitudes.

This study shows neurofeedback can enhance neural responses to speech in noisy environments, improving speech comprehension through targeted training.

The paper compares sampling methods for selecting representative pipelines in multiverse analyses of EEG data to assess their impact on result robustness.

This paper reviews preprocessing choices for P3 ERP analysis in mobile EEG, finds inconsistent reporting, and provides an interactive tool for exploring and comparing preprocessing strategies.

This paper reviews analytical choices in graph-based fMRI to improve replicability and develops a decision support tool for robustness analysis.

The paper shows that early visual cortex tracks speech envelope without visual input, with effects modulated by noise and semantic content.

The paper develops Android apps for real-time EEG and audio synchronization to study natural sound-evoked ERPs in real-life settings.