Silvia Francesca Storti
Papers
7
Total Citations
282
H-Index
6
About
Silvia Francesca Storti’s research sits at the intersection of rehabilitation neuroscience, brain-computer interfaces, and human-robot interaction. Her key contributions focus on understanding how the brain reorganizes after stroke and how robotic-assisted therapy can drive that recovery. Her most cited work (124 citations) demonstrated that event-related desynchronization in EEG can be modulated during robot-assisted hand movements, distinguishing between active, passive, and imagined tasks—a finding critical for designing more effective neurorehabilitation protocols. She further quantified upper limb motor recovery and EEG power changes after bilateral arm training in chronic stroke patients (58 citations), providing neural evidence for the benefits of robot-assisted therapy. Storti’s work extends beyond stroke rehabilitation into surgical training, where she developed neurophysiological measures to objectively assess users’ skill acquisition during simulated robot-assisted laparoscopic surgery (16 citations). Her recent research addresses safety and privacy in Industry 4.0 environments, reflecting a broadening of her expertise into human factors engineering. Through her pioneering use of EEG to track cortical plasticity and cognitive workload, Storti has established herself as a leading voice in translating neurophysiological insights into practical rehabilitation and training technologies.
Research Focus
Key Achievements
Top Papers
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