Wolf‐Julian Neumann

Device-embedded accelerometry complements neural signals for tracking parkinsonian motor states

This study shows that device-embedded accelerometry better tracks Parkinsonian motor states than neural signals during deep brain stimulation.

A cardiac pulse signal affects local field potentials recorded from deep brain stimulation electrodes across clinical targets

This study identifies a cardiac pulse signal affecting LFP recordings from DBS electrodes across multiple brain regions and patient groups, introducing an algorithm to detect and extract it.

Shift in motor-state equilibrium explains gait therapy effects of apomorphine in experimental Parkinsonism

This study investigates how apomorphine affects gait in a Parkinson's disease rat model, finding it improves walking distance but reduces limb velocity, with changes in cortical gamma rhythms influencing motor state transitions.

Deep neurobehavioral phenotyping uncovers neural fingerprints of locomotor deficits in Parkinson's disease

This study uses deep neurobehavioral phenotyping to identify neural features associated with gait deficits in Parkinson's disease, revealing biomarkers for potential therapeutic applications.

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.

Differential modulation of movement speed with state-dependent deep brain stimulation in Parkinson's disease

This study shows that state-dependent deep brain stimulation in Parkinson's disease increases movement speed more effectively during fast movements, using machine learning to decode brain signals for real-time adjustments.

Dynamic neural states underpin bradykinesia severity in Parkinsons disease

This study identifies neural states in Parkinson's disease patients using Hidden Markov Models and links them to bradykinesia severity through spectral and temporal features.

Movement execution defines a distinct neural state in dyskinesia and enhances decoding

The paper identifies movement execution as a distinct neural state in Parkinson's dyskinesia, showing it enhances decoding of dyskinesia through specific oscillatory patterns.

Shared pathway-specific network mechanisms of dopamine and deep brain stimulation for the treatment of Parkinson's disease

This study identifies how dopamine and deep brain stimulation affect cortex-basal ganglia networks at different scales, showing distinct mesoscale effects and shared macroscale suppression of network synchrony.

Cortical beta oscillations map to shared brain networks modulated by dopamine

This study identifies a shared brain network modulated by dopamine that underlies beta oscillations, revealing their role in cortico-subcortical circuits beyond motor function.

Dopamine and DBS accelerate the neural dynamics of volitional action in Parkinson's disease

This study investigates how dopamine and deep brain stimulation (DBS) affect neural dynamics in Parkinson's disease by measuring motor intention latency and oscillatory communication patterns.

Subthalamic beta bursts correlate with dopamine-dependent motor symptoms in 106 Parkinson's patients

The paper correlates subthalamic beta bursts with dopamine-dependent motor symptoms in 106 Parkinson's patients using two methods, showing frequency-specific relationships and medication effects.

A comparison of methods to suppress electrocardiographic artifacts in local field potential recordings

This study compares ECG suppression methods in LFP recordings to recover brain activity, finding that SVD methods offer the best balance between artifact removal and signal preservation.

Movement decoding using spatio-spectral features of cortical and subcortical local field potentials

This paper develops a movement decoding pipeline using spatio-spectral features from cortical and subcortical signals, showing improved decoding with spatial information.

The sensitivity of ECG contamination to surgical implantation site in adaptive closed-loop neurostimulation systems

The paper investigates how implant location affects ECG contamination in neurostimulation systems, finding higher contamination in left-sided subclavicular implants compared to right-sided ones.

Electrocorticography is superior to subthalamic local field potentials for movement decoding in Parkinson's disease

This paper compares electrocorticography (ECoG) and subthalamic local field potentials (LFP) for movement decoding in Parkinson's disease, finding ECoG superior and demonstrating the impact of PD pathophysiology on decoding performance.

Neural signatures of pathological hyperdirect pathway activity in Parkinson's disease

The paper identifies signatures of the hyperdirect pathway and its role in pathological network disruption in Parkinson's disease through multimodal analysis.

Deep Brain Stimulation: Imaging on a group level

This paper introduces Lead Group, a tool for group-level DBS imaging analysis, showing optimal DBS targets in the dorsolateral STN and a fiber bundle linked to clinical outcomes in Parkinson's disease.

Cortico-basal-ganglia communication: Temporally structured activity for selective motor control

The paper examines cortico-basal-ganglia communication in Parkinson's patients, finding that gamma phase coupling between STN spikes and cortical activity precedes fast reaction times and is modulated by movement direction.

Deep Brain Stimulation induced normalization of the human functional connectome in Parkinson’s Disease

This study uses resting-state fMRI to show that deep brain stimulation (DBS) in Parkinson’s Disease modulates global brain connectivity, normalizing it toward healthy controls and altering specific network couplings.

Subthalamic nucleus and sensorimotor cortex activity during speech production

The paper examines high gamma activity in the subthalamic nucleus and sensorimotor cortex during speech production, finding articulator-specific signals in both regions with similar timing but different topographical organization.

Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging

The paper updates the Lead-DBS pipeline for DBS imaging and connectomics, demonstrating its application on clinical data and comparing preprocessing strategies.