Project C04 focuses on parameter optimization for adaptive deep brain stimulation (aDBS) in Parkinson’s disease (PD). First, we will expand on our results from the first funding period testing specific stimulation parameters for optimal beta burst suppression during aDBS and the role of cortical sensing sources (WP1).
In WP 2, we will exploit the opportunity of chronic sensing to define stable biomarkers during real world conditions including high-resolution home monitoring based on wearable sensors and smartphone-questionnaires aiming to translate aDBS to clinical practice.
Finally, WP3 will test non-motor symptoms in PD and obsessive-compulsive disorder in a cross-diagnostic approach to identify non-motor biomarkers during motivational and compulsion tasks.
Team
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Prof. Andrea Kühn
Charité – Universitätsmedizin Berlin
Spokesperson, Steering Committee Member, Project Leader
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Dr. Gerd-Helge Schneider
Charité – Universitätsmedizin Berlin
Project Leader
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Renana Eitan, MD
The Hebrew University of Jerusalem
Project Leader
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Dr. Lucia Feldmann
Charité – Universitätsmedizin Berlin
Postdoc
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Johannes Busch
Charité – Universitätsmedizin Berlin
Postdoc
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Jonathan Kaplan
Charité – Universitätsmedizin Berlin
Postdoc
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Prof. Michael Rosenblum
Universität Potsdam
C04 Alumnus Project Leader
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Varvara Mathiopoulou
Charité – Universitätsmedizin Berlin
C04 Alumna
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Erik Mau
Universität Potsdam
C04 Alumnus
Publications
Long-Term Stability of Spatial Distribution and Peak Dynamics of Subthalamic Beta Power in Parkinson’s Disease Patients.
Local Field Potentials Predict Motor Performance in Deep Brain Stimulation for Parkinson‘s Disease.
Pathological pallidal beta activity in Parkinson’s disease is sustained during sleep and associated with sleep disturbance.
- Prof. Andrea Kühn
- Prof. Hagai Bergman
- Prof. Julian Neumann
Desynchronizing two oscillators while stimulating and observing only one.
- Erik Mau
- Prof. Michael Rosenblum
Insights and opportunities for deep brain stimulation as a brain circuit intervention.
- Prof. Julian Neumann
- Dr. Andreas Horn
- Prof. Andrea Kühn
A First Methodological Development and Validation of ReTap: An Open-Source UPDRS Finger Tapping Assessment Tool Based on Accelerometer-Data
- Dr. Rachel Spooner
- Varvara Mathiopoulou
- Dr. Lucia Feldmann
- Johannes Busch
- Dr. Bahne Bahners
- Prof. Alfons Schnitzler
- Prof. Esther Florin
- Prof. Andrea Kühn
Christmas-Related Reduction in Beta Activity in Parkinson’s Disease
- Dr. Lucia Feldmann
- Dr. Roxanne Lofredi
- Johannes Busch
- Varvara Mathiopoulou
- Dr. Gerd-Helge Schneider
- Dr. Andreas Horn
- Prof. Andrea Kühn
- Prof. Julian Neumann
Subthalamic beta bursts correlate with dopamine-dependent motor symptoms in 106 Parkinson’s patients.
Inferring oscillator’s phase and amplitude response from a scalar signal exploiting test stimulation
- Erik Mau
- Prof. Michael Rosenblum
Spectral and spatial distribution of subthalamic beta peak activity in Parkinson’s disease patients.
- Dr. Natasha Darcy
- Dr. Roxanne Lofredi
- Prof. Julian Neumann
- Dr. Gerd-Helge Schneider
- Prof. Andrea Kühn
