Tommaso Bocci
Papers
1
Total Citations
18
H-Index
1
About
Tommaso Bocci is a pioneering researcher at the intersection of clinical neurophysiology and surgical innovation, with a primary focus on understanding the neural dynamics underlying human–robot interaction. His most cited work, a 2013 EEG coherence study, investigates how a surgeon’s brain functionally couples motor areas during robotic-assisted procedures, offering the first empirical glimpse into the brain’s adaptive mechanisms when controlling surgical robots. This foundational contribution has garnered 18 citations and opened new avenues for optimizing human–machine interfaces in medicine. Bocci’s broader research spans cortical excitability, non-invasive brain stimulation, and the pathophysiology of movement disorders, where he has advanced our understanding of how primary and non-primary motor areas coordinate voluntary actions. His work is notable for bridging basic neuroscience with translational applications, particularly in refining robotic surgery training and enhancing surgical precision through neurofeedback. By mapping the brain’s “buzz” during complex motor tasks, Bocci provides critical insights that inform both clinical practice and the design of next-generation surgical robots, making him a key figure in neuroergonomics and human–robot collaboration.
Research Focus
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Top Papers
- 1