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Own data, not hardware
Cecilia Mazzetti, PhDDone
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Schizophrenia: A temporal disorder?
Dr. Annemarie WolffDone
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Principles and challenges of fMRI-based ‘brain reading’
Prof. John-Dylan HaynesDone
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The potential of brain rhythms to gauge the vulnerability of an individual to developing chronic pain
Prof. Ali MazaheriDone
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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. Alexander SackDone
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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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High-fidelity continuous monitoring of physiology anywhere with RDS
Louis Mayaud, PhDDone
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The Berger’s discovery revisited: How and why the brain’s dominant rhythm relates to cognition
Tzvetan Popov, PhDDone
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Real world AI in neurosciences for the benefit of doctors and patients
Stephane Doyen, PhDDone
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Mapping and targeting with TMS
Prof. Thomas KnöscheDone
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.