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Clinical brain-computer interfaces: Challenges and new applications
Prof. Surjo Soekadar, MDDone
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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
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From one-size-fits-all psychiatry to stratified psychiatry: Brain markers and heart-brain-coupling
Martijn Arns, PhDDone
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Principles and challenges of fMRI-based ‘brain reading’
Prof. John-Dylan HaynesDone
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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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Advances in closed-loop neuromodulation
David HaslacherDone
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The condition and perturb approach, a new protocol for preoperative language mapping in patients with brain tumors: First results of intraoperative validation
Tammam Abboud, MDDone
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Neural markers of motor cognition: What do we know and what’s next?
Claudia Gianelli, PhDDone
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Real brains in virtual worlds
Prof. Klaus GramannDone
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.