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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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Multi-center validation of dry vs. gel-based EEG cap performance
Prof. Patrique FiedlerDone
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Welcome Address
Martijn SchreuderDone
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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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Principles and challenges of fMRI-based ‘brain reading’
Prof. John-Dylan HaynesDone
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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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Accelerated Intermittent Theta Burst Stimulation: Antidepressant and anti-suicidal effects
Roberto Goya-Maldonado, MDDone
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Phase-amplitude coupling in EEG as a Parkinsonian biomarker
Prof. Thomas R. KnöscheDone
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Schizophrenia: A temporal disorder?
Dr. Annemarie WolffDone
Giorgio Di Lorenzo, M.D., Ph.D., is an Associate Professor of Psychiatry and directs the Laboratory of
Psychophysiology and Cognitive Neuroscience (PsyCoNeLab), at the Department of Systems Medicine of the University of Rome Tor
Vergata. The main field of interest is in the clinical application of EEG recording as a tool for the investigation of the pathophysiology
of brain connectivity in mental disorders (mainly psychosis, autism, and trauma-related disorders), as well as the examination
of neurophysiological changes induced by psychopharmacological, psychotherapeutic, brain electromagnetic stimulation and
modulation, and rehabilitative treatments.
The use of electroencephalography (EEG) as a tool to discriminate people with or without psychosis has failed until now.
The heterogeneity in psychopathological features and outcomes in subjects with psychosis has led to the search for biomarkers that
could improve the diagnostic and prognostic processes. In recent years, research in psychosis has highlighted how abnormalities of
electrophysiological indices could be associated with clinical features, the outcome, and the risk of psychosis. Within this frame, Di
Lorenzo will present the results of recent, large, and multicenter studies that use EEG indices in subjects with psychosis, discussing their
use as potential biomarkers. Di Lorenzo will also offer a critical viewpoint for translating EEG research into clinical practice to facilitate the
early diagnosis and identify markers of progression, prognosis, and treatment of this severe illness.
MINDS IN MOTION
Mental Health Journeys: Stories, Art, and Science
Berlin, January 15th 2026