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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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Do I want to know? Artificial intelligence as a predictive tool in the diagnosis and treatment of cognitive impairment. Development of EEG-based functional network analyses
Prof. Ira Haraldsen, MDDone
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Language mapping on patients with parenchymatous tumor in language eloquent areas
Jimmy Landry Zepa YotedjeDone
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Two clinical applications of hdEEG: Kinesthetic illusion and consciousness in sleep
Jan Hubený, Ing.Done
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Towards personalised neuromodulation in mental health: A non-invasive avenue of network research into dynamic brain circuits and their dysfunction
Prof. Marcus KaiserDone
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Real world AI in neurosciences for the benefit of doctors and patients
Stephane Doyen, PhDDone
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Advances in closed-loop neuromodulation
David HaslacherDone
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Neural markers of motor cognition: What do we know and what’s next?
Claudia Gianelli, PhDDone
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Electrophysiological measures as biomarkers of disease progression and outcome in psychoses
Prof. Giorgio Di LorenzoDone
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Phase-amplitude coupling in EEG as a Parkinsonian biomarker
Prof. Thomas R. KnöscheDone
Tzvetan Popov researches how and why the dominant rhythm of the human brain relates to nearly all psychological concepts and constructs studied. He received training in clinical psychophysiology supervised by Brigitte Rockstroh and Gregory A. Miller. Research with Nathan Weisz in Trento (Italy) and Ole Jensen at the Donders Institute in Nijmegen was followed by several years of managing the MEEG laboratories at the University Konstanz and the Central Institute of Mental Health in Mannheim. Tzvetan is now an academic associate in the Lab of Nicolas Langer at the Department of Psychology at the University of Zurich.
Solutions to core survival requirements are scaled, preserved, and present in nearly all creatures equipped with the ability to move. In this talk, a fundamental principle- emergence of behavior through rhythm mediated action is discussed, and examples of how neuronal rhythms monitor sensory action across phyla are highlighted (honey bee, non-human primates, and humans). The brain’s active sensing of the surrounding environment entails clustering of eye/antenna movements towards an object or location. This active sensing behavior coincides with the amplitude modulation of a dominant (Berger or alpha) rhythm. Independent of testing conditions (e.g. light or full darkness) and cognitive load (e.g. rest, spatial attention, working memory), space is inferred by the movement direction of the brain’s sensors manifesting in location-specific place topographies. These observations are discussed in light of the conjecture that the dominant rhythm of the brain facilitates and monitors sensorimotor output as a prerequisite for a proactive processing chain in cognition beginning with action.