Wolf-Julian Neumann

Has grant

Assistant Professor

Charité - Universitätsmedizin Berlin

Germany

Research Interests

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About

Wolf-Julian Neumann is an Assistant Professor at Charité - Universitätsmedizin Berlin, Germany. His research primarily focuses on deep brain stimulation, neuroimaging, and the underlying neural mechanisms affecting movement disorders such as Parkinson's disease and dystonia. Recent publications include investigations into adaptive deep brain stimulation strategies, cortical oscillations, and network interactions influenced by dopamine.

Recent Grants

Grant: Open

Interrogating basal ganglia reinforcement with deep brain stimulation in Parkinson’s disease.

Open Date: 2023-03-01

Close Date: 2028-02-29

Grant: Close

Decoding therapy-related inhibition/disinhibition signaling through M1 ECoG and subthalamic LFP real-time classification in patients with Parkinson’s disease (B03)

Open Date: 2020-01-01

Close Date:

Grant: Close

Developing standards for data quality, reproducibility, and accessibility (INF)

Open Date: 2020-01-01

Close Date:

Grant: Close

Wei/come Trust- Charite/81H Translational Partnership

Open Date: 2019-12-01

Close Date: 2023-06-01

Grant: Close

Decodierung kortikaler und subkortikaler Hirnaktivität auf Basis künstlicher neuronaler Netzwerke zur Entwicklung einer intelligenten und adaptiven tiefen Hirnstimulation

Open Date: 2019-03-01

Close Date: 2024-08-30

Articles (29)

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Collaborators (16)

Henrik Oster

Professor

University of Lübeck

GERMANY

Wolf-Julian Neumann

Research Interests

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About

Recent Grants

Articles (29)

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

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

From adaptive deep brain stimulation to adaptive circuit targeting

Deep brain stimulation-entrained gamma oscillations in chronic home recordings in Parkinson's disease

Mapping Neuroimaging Findings of Creativity and Brain Disease Onto a Common Brain Circuit.

Proceedings of the 11th Annual Deep Brain Stimulation Think Tank: pushing the forefront of neuromodulation with functional network mapping, biomarkers for adaptive DBS, bioethical dilemmas, AI-guided neuromodulation, and translational advancements

Motor network gamma oscillations in chronic home recordings predict dyskinesia in Parkinson’s disease

Rapid Compensation for Noisy Voluntary Movements in Adults with Primary Tic Disorders

Modulation of subthalamic beta oscillations by movement, dopamine, and deep brain stimulation in Parkinson’s disease

Dopaminergic reinforcement in the motor system: Implications for Parkinson's disease and deep brain stimulation

Cortical brain signals improve decoding of movement and tremor for clinical brain computer interfaces

Contribution of basal ganglia activity to REM sleep disorder in Parkinson's disease.

Deep brain stimulation of symptom-specific networks in Parkinson's disease.

Generalized sleep decoding with basal ganglia signals in multiple movement disorders.

Single threshold adaptive deep brain stimulation in Parkinson's disease depends on parameter selection, movement state and controllability of subthalamic beta activity.

Striato-pallidal oscillatory connectivity correlates with symptom severity in dystonia patients.

Challenges and opportunities of acquiring cortical recordings for chronic adaptive deep brain stimulation

Cortical beta oscillations map to shared brain networks modulated by dopamine

Cortical beta oscillations map to shared brain networks modulated by dopamine

Christmas‐Related Reduction in Beta Activity in Parkinson's Disease

Neurophysiological mechanisms of deep brain stimulation across spatiotemporal resolutions.

Adaptive Deep Brain Stimulation: From Experimental Evidence Toward Practical Implementation

Insights and opportunities for deep brain stimulation as a brain circuit intervention

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

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

Editorial: Retuning dynamic motor network disorders using neuromodulation

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

Pallidal activities during sleep and sleep decoding in dystonia, Huntington's, and Parkinson's disease.

Sleep and circadian rhythms in α-synucleinopathies-Perspectives for disease modification.

Collaborators (16)

Henrik Oster

Luka Milosevic

Gerd Tinkhauser

Jan Roediger

Patricia Krause

Stefan Haufe

Patricia Zvarova

Andreas Horn

Max-Philipp Stenner

Lucia Katharina Feldmann

Reza Abbasi Asl

Simon Little

Andrea A. Kühn

Kelly Foote

Arthur W.G. Buijink

Natasha Darcy

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