Alfons Schnitzler

Cholinergic and noradrenergic modulation of perceptual decision making and learning

This study investigates how acetylcholine and noradrenaline influence perceptual decision making and learning by modulating the updating of prior expectations.

Role of GABA and NMDA receptors in shaping cortical timescales and large-scale network dynamics

This study manipulates GABA and NMDA receptors in humans to show that GABAergic inhibition increases neuronal timescales and alters large-scale network dynamics.

Identifying out-of-voxel echoes in edited MRS with phase cycle inversion

The paper introduces a method to identify out-of-voxel signals in MRS by analyzing phase cycles, leading to improved suppression of artifacts through optimized gradients.

Beyond beta rhythms: Aperiodic broadband power reflects Parkinson's disease severity - a multicenter study

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.

Context-Dependent Modulations of Subthalamo-Cortical Synchronization during Rapid Reversals of Movement Direction in Parkinson's Disease

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.

Oscillatory coupling between thalamus, cerebellum and motor cortex in essential tremor

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.

Altered Cortical Network Dynamics during Observing and Preparing Action in Patients with Corticobasal Syndrome

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.

Modulations of thalamo-cortical coupling during voluntary movement in patients with essential tremor

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.

Cholinergic modulation of reinforcement learning and prefrontal value computations under uncertainty

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

Prestimulus alpha phase modulates visual temporal integration

This study investigates how prestimulus alpha oscillation phase modulates visual temporal integration and perceptual processing.

Deep brain stimulation device-specific artefacts in MEG recordings

This study compares DBS artefacts in MEG recordings using different DBS devices and cleaning methods, finding device-specific differences and potential spectral artefacts after cleaning.

Distinct roles of dopamine and acetylcholine in delay- and effort-based decision making in humans

This study investigates the roles of dopamine and acetylcholine in human decision-making, finding that dopamine affects both effort and delay discounting, while acetylcholine specifically influences effort discounting.

Combining Magnetoencephalography with Telemetric Streaming of Intracranial Recordings and Deep Brain Stimulation - a Feasibility Study

This study tests the compatibility of telemetric LFP streaming with MEG in DBS patients, finding that Percept PC with SenSight leads generates limited interference and OPM systems are more resilient to artefacts.

Application of a 1H Brain MRS Benchmark Dataset to Deep Learning for Out-of-Voxel Artifacts

This paper introduces AGNOSTIC, a synthetic 1H MRS dataset for training deep learning models to detect and predict out-of-voxel echoes in brain MRS data.

Subthalamic stimulation evoked cortical responses relate to motor performance in Parkinson's disease

This study examines how subthalamic stimulation-evoked cortical responses correlate with motor performance in Parkinson's disease patients.

Parkinsonian rest tremor can be distinguished from voluntary hand movements based on subthalamic and cortical activity using machine learning

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

Slowing of Frontocentral Beta Oscillations in Atypical Parkinsonism

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.

Separating neural oscillations from aperiodic 1/f activity: challenges and recommendations

The paper evaluates two methods for separating neural oscillations from aperiodic 1/f activity in electrophysiological data, highlighting challenges and providing recommendations.

Differential dopaminergic modulation of spontaneous cortico-subthalamic activity in Parkinson's disease

This study examines how dopaminergic medication affects oscillatory brain networks in Parkinson's disease using combined STN and MEG recordings.

Spontaneous network activity <35 Hz accounts for variability in stimulus-induced gamma responses

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.