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High-fidelity continuous monitoring of physiology anywhere with RDS
Louis Mayaud, PhDDone
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Own data, not hardware
Cecilia Mazzetti, PhDDone
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Welcome Address
Martijn SchreuderDone
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Language mapping on patients with parenchymatous tumor in language eloquent areas
Jimmy Landry Zepa YotedjeDone
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Real world AI in neurosciences for the benefit of doctors and patients
Stephane Doyen, PhDDone
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Clinical brain-computer interfaces: Challenges and new applications
Prof. Surjo Soekadar, MDDone
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Mapping and targeting with TMS
Prof. Thomas KnöscheDone
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Two clinical applications of hdEEG: Kinesthetic illusion and consciousness in sleep
Jan Hubený, Ing.Done
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Neural markers of motor cognition: What do we know and what’s next?
Claudia Gianelli, PhDDone
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Schizophrenia: A temporal disorder?
Dr. Annemarie WolffDone
I completed my B.Sc and M.Sc degree in Neuroscience at the University of Toronto, Canada. I obtained my PhD degree at the Donders Institute for Cognitive Neuroimaging, Nijmegen, The Netherlands. After a post-doctoral fellowship at the University of California, Davis, I was appointed as an Assistant Professor at the Academic Medical Centre, University of Amsterdam. I am currently an Associate Professor at the School of Psychology, University of Birmingham (United Kingdom), and a Principal Investigator at the Centre for Human Brain Health.
A significant predictor of whether an individual will get chronic pain is the acute pain experienced immediately after surgery. If clinicians can pre-operatively identify which patients are highly pain sensitive, they can take pre-emptive steps to minimize it and prevent its chronification. Here I will present evidence that an individual’s resting peak frequency of alpha activity, measured using EEG , can predict their sensitivity to pain after surgery.
MINDS IN MOTION
Mental Health Journeys: Stories, Art, and Science
Berlin, January 15th 2026