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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 brains in virtual worlds
Prof. Klaus GramannDone
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Welcome Address
Martijn SchreuderDone
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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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High-fidelity continuous monitoring of physiology anywhere with RDS
Louis Mayaud, PhDDone
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Schizophrenia: A temporal disorder?
Dr. Annemarie WolffDone
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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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Language mapping on patients with parenchymatous tumor in language eloquent areas
Jimmy Landry Zepa YotedjeDone
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Real world AI in neurosciences for the benefit of doctors and patients
Stephane Doyen, PhDDone
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Own data, not hardware
Cecilia Mazzetti, PhDDone
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.