Andreas Højlund

This study examines how dopamine dysregulation in Parkinson's disease affects the pleasurable urge to move to musical rhythms, finding a flattened response in patients compared to controls.

This study uses MEG and machine learning to classify intertrial phase coherence in language processing across age, finding significant differences in neural circuits across frequency bands and processing types.

The paper shows that musicianship and melodic predictability increase neural gain in auditory cortex during pitch deviance detection, as revealed by dynamic causal modeling of MEG data.

The paper investigates neural responses to melodic surprise in musicians and non-musicians using IDyOM and MEG, finding that sensory adaptation, not probabilistic prediction, drives the N1m component, while later components reflect auditory regularities and expectations.

The paper shows that predictive uncertainty reduces musical prediction error responses similarly in musicians and non-musicians, suggesting dissociable effects of expertise and stimulus uncertainty.

The paper investigates how prediction error responses change in musical contexts with varying pitch uncertainty, finding reduced mismatch negativity in high-uncertainty conditions.

This study examines how deep brain stimulation (DBS) and dopaminergic medication affect cortical activity and corticomuscular coherence in Parkinson’s disease patients using MEG and EMG.

The paper shows that individuals with poorer auditory sensitivity show stronger visual enhancement of the auditory mismatch negativity in pitch discrimination.

This study shows that musical expertise leads to more subadditive neural responses to complex auditory stimuli, suggesting more integrative processing of acoustic features.