Jan Hirschmann

This study shows that aperiodic broadband power, not just beta oscillations, is linked to Parkinson's disease severity and is increased in the more affected hemisphere.

This study examines beta oscillations in Parkinson's disease patients during movement direction reversals, finding context-dependent changes in subthalamo-cortical synchronization and beta power modulations.

This study shows that essential tremor is linked to increased oscillatory coupling at tremor frequency in a cerebello-thalamo-cortical network, with coupling strength correlating with tremor severity.

This study examines cortical network dynamics during action observation and preparation in corticobasal syndrome patients, finding reduced beta power suppression and altered timing in CBS compared to controls.

This study examines thalamo-cortical coupling during voluntary movement in essential tremor patients, finding frequency-specific changes in coherence and power related to motor control.

This study investigates how muscarinic acetylcholine receptors influence reinforcement learning under uncertainty using a gambling and learning task with MEG recordings.

This study uses machine learning to distinguish Parkinsonian rest tremor from voluntary hand movements by combining subthalamic and cortical activity data.

The paper investigates cortical oscillatory activity in atypical parkinsonian syndromes and finds that slowing of frontocentral beta oscillations distinguishes these syndromes from healthy controls and idiopathic Parkinson's disease.

The paper shows that variability in stimulus-induced gamma responses is linked to spontaneous brain network states, with both trial-to-trial and subject-to-subject differences explained by pre-stimulus network dynamics.