Martin Georg Bleichner

This study examines how task demand and irrelevant sound affect EEG responses and workload in simulated surgical environments.

This study identifies EEG responses to auditory distractions in real-world soundscapes, showing that spectral novelty elicits a P3a response but not a Reorienting Negativity.

The paper shows that shorter inter-onset intervals in natural soundscapes reduce N1 and P2 amplitudes in auditory evoked potentials, replicating lab findings in real-world conditions.

This study examines how contextual factors affect auditory processing using EEG data in an office-like environment, showing that P300 is stable across contexts while N100 varies with task complexity and environment.

This study uses mobile EEG to investigate how surgical personnel perceive sounds during simulated laparoscopic surgery, finding no significant effects on task performance but noting changes over time.

This study uses smartphone-based ear-EEG to measure sound processing in everyday life, finding task-dependent auditory event-related potentials and effects of background noise.

This paper provides a protocol for setting up and recording high-quality ear-EEG data using cEEGrids for extended periods in and beyond the lab.

This study uses EEG to examine how attentional focus affects processing of complex workplace soundscapes during a 3D Tetris task, finding robust N1 and P3 responses and differences in auditory processing based on attentional demands.

This study examines how the brain processes spontaneous speech by analyzing neural responses to disfluencies, syntactic boundaries, and speech rate variability using EEG.

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

This study uses mobile ear-EEG to examine auditory attention in real-world settings, finding increased P3 amplitude and better performance in a controlled rapid oddball task compared to a sporadic one.

The paper measures neural correlates during spontaneous interactive sentence production using a word-by-word technique, finding significant N400 and P600 ERP effects for unexpected words and their predictive relationship with response times.