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Translational endophenotypes (neuromarkers) in neurodevelopmental disorders: From mouse to man in CLN3 (Batten) disease
Prof. John J. FoxeDone
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Two clinical applications of hdEEG: Kinesthetic illusion and consciousness in sleep
Jan Hubený, Ing.Done
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Real brains in virtual worlds
Prof. Klaus GramannDone
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Neural markers of motor cognition: What do we know and what’s next?
Claudia Gianelli, PhDDone
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High-fidelity continuous monitoring of physiology anywhere with RDS
Louis Mayaud, PhDDone
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Mapping and targeting with TMS
Prof. Thomas KnöscheDone
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Welcome Address
Martijn SchreuderDone
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Phase-amplitude coupling in EEG as a Parkinsonian biomarker
Prof. Thomas R. KnöscheDone
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Real world AI in neurosciences for the benefit of doctors and patients
Stephane Doyen, PhDDone
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Electrophysiological measures as biomarkers of disease progression and outcome in psychoses
Prof. Giorgio Di LorenzoDone
David Haslacher studied computer science in Munich, artificial intelligence in Utrecht, and computational neuroscience in Tübingen. Since then, he has been developing the combination of transcranial alternating current stimulation with electro- and magnetoencephalography at the Clinical Neurotechnology Laboratory of the Charité – Universitätsmedizin Berlin. He is now finishing his PhD on closed-loop neuromodulation under the guidance of Surjo Soekadar, and is interested in developing more precise and effective treatments for psychiatric and neurological disorders.
Neuromodulation techniques such as transcranial alternating current stimulation (tACS) are a promising treatment approach for several neurological and psychiatric disorders, but suffer from variable effects due in part to their brain-state dependency. In this talk, I will show how electroencephalography (EEG) has become a useful tool to understand the immediate effects of tACS, and to implement closed-loop systems where tACS is adapted to ongoing brain oscillations in real-time. Finally, some potential clinical applications of such closed-loop approaches are discussed.