This project aims to disentangle the pathophysiological role of oscillatory cortex-basal ganglia dynamics in the initiation, suppression, and cancellation of voluntary movements in Parkinson’s disease by uniting complementary expertise in invasive neurophysiology for movement disorders and multivariate decoding of volitional behavior.
The project will establish a real-time, clinical brain computer interface with invasive multielectrode recordings of neural population activity – a prerequisite for the interrogation of task- and activity-dependent neuromodulation approaches in the TRR.
Team
Publications
Movement Decoding Using Spatio-Spectral Features of Cortical and Subcortical Local Field Potentials
- Prof. Andrea Kühn
- Dr. Vadim Nikulin
- Prof. Julian Neumann
A practical guide to invasive neurophysiology in patients with deep brain stimulation.
- Prof. Julian Neumann
- Richard Köhler
- Prof. Andrea Kühn
Machine learning based brain signal decoding for intelligent adaptive deep brain stimulation.
- Richard Köhler
- Prof. Stefan Haufe
- Prof. Julian Neumann
Electrocorticography is superior to subthalamic local field potentials for movement decoding in Parkinson’s disease.
- Dr. Ningfei Li
- Dr. Andreas Horn
- Prof. Julian Neumann
Neural signatures of hyperdirect pathway activity in Parkinson’s disease.
- Prof. Julian Neumann
- Dr. Andreas Horn
Machine Learning Will Extend the Clinical Utility of Adaptive Deep Brain Stimulation.
- Prof. Julian Neumann
