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Wolf-Julian Neumann

Clinical Neuroscience

Movement Disorder and Neuromodulation Unit, Charité Berlin, Berlin, Germany





I am a young investigator and clinician scientist (MD) at the Movement Disorder and Neuromodulation Unit at Charité Berlin. I have built an expertise in movement disorders neurophysiology and deep brain stimulation. My strengths are the implementation of methods for multimodal and multidimensional data analysis for clinical neuroscience applications. My current work combines computational modelling, deep learning, structural and functional connectivity mapping (fMRI), invasive (LFP/ECoG) and non-invasive (EEG/MEG) recordings, to elucidate the role of the basal ganglia in health and disease.


Neuromodulation for movement disorders: Translational neuroscience in the age of artificial intelligence

Deep brain stimulation (DBS) is an effective treatment alternative for patients with medication refractory movement disorders, such as Parkinson’s disease and dystonia. In addition to its clinical benefit, DBS represents a powerful scientific platform to investigate neural circuits in health and disease. It gives the unique opportunity to record neural activity directly from deep neural structures in human patients and allows characterization of physiological network properties across brain regions. Using multimodal and multidimensional approaches including invasive electrophysiology, magnetoencephalography, functional and structural neuroimaging and computational modelling, we havea learned key aspects about the nature of brain circuit dysfunction across the Cortex – basal ganglia thalamic axis. This gives rise to the unique opportunity to develop personalized precision medicine approaches based on artificial intelligence informed neuromodulation protocols, closing the loop between individual brain activity and network neuromodulation with DBS. The aim of this lecture is to introduce clinical concepts of the mechanism of neuromodulation, describe translational research principles to secure clinical relevance and outline future directions in the development of neurotechnological treatment strategies. The audience will learn about the neurophysiological mechanisms of neuromodulation with relation to cortico-subcortical pathways in Parkinson’s disease and other movement disorders. The lecture will conclude with an outlook on clinical symptom prediction from neural time-series data for deep-learning informed clinical brain computer interfaces.