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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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Electrophysiological measures as biomarkers of disease progression and outcome in psychoses
Prof. Giorgio Di LorenzoDone
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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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Multi-center validation of dry vs. gel-based EEG cap performance
Prof. Patrique FiedlerDone
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High-fidelity continuous monitoring of physiology anywhere with RDS
Louis Mayaud, PhDDone
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Advances in closed-loop neuromodulation
David HaslacherDone
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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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The potential of brain rhythms to gauge the vulnerability of an individual to developing chronic pain
Prof. Ali MazaheriDone
Dr. Claudia Gianelli is currently Senior Assistant Professor at the Department of Clinical and Experimental Medicine of the University of Messina and Research Area Coordinator of the Center for Psychological Research and Intervention (CeRIP). After a PhD in Cognitive Neuroscience (awarded jointly by the Universities of Bologna and Lyon), she spent several years as a Research Scientist at the University of Potsdam in Germany and then as a Research Fellow at the University School for Advanced Studies IUSS Pavia in Italy. Her main research interests are in the field of motor cognition investigated by means of neurophysiological and behavioral measures (TMS, EEG, motion tracking), both as single methods and in combination, in healthy participants and clinical populations
The concept of “motor cognition” has received growing interest from psychologists and neuroscientists. Both transcranial magnetic stimulation (TMS) and electroencephalography (EEG) have been extensively employed to reveal potential neural markers of these processes. As to the former, studies using single-pulse TMS of the primary motor cortex have grown exponentially, thanks to the possibility of quantifying motor cognition in terms of motor-evoked potentials (MEPs). Similarly, several studies have targeted mu-rhythm desynchronization as measured by EEG with the aim of not just measuring motor cognition but also unveiling its time-course. In my talk, I will review both approaches with the support of experimental studies and two recent meta-analyses performed by my group. Based on this assessment of the field of motor cognition in healthy participants, I will discuss existing limitations and possible avenues for future research in the field.