Ferruccio Panzica
Papers
1
Total Citations
17
H-Index
1
About
Ferruccio Panzica is a leading researcher in neurorehabilitation and brain–computer interfaces, with a focus on applying electrophysiological markers to predict and enhance motor recovery after stroke. His work bridges clinical neuroscience and rehabilitation robotics, aiming to personalize therapy for chronic stroke patients. In his highly cited 2016 study, Panzica demonstrated that event-related desynchronization and synchronization patterns during robot-assisted movement can forecast functional recovery, offering a neurophysiological basis for patient selection in robotic rehabilitation. This contribution addresses a critical gap in the field, where the additive benefits of robotic therapy remain debated. With over 17 citations, this work has influenced subsequent studies on closed-loop neurorehabilitation systems. Panzica’s research integrates quantitative EEG analysis with motor learning principles, advancing the development of adaptive, patient-specific interventions. His achievements underscore a commitment to translating neural signals into actionable clinical tools, making him a key figure in the effort to optimize stroke rehabilitation outcomes through precision medicine.
Research Focus
Key Achievements
Top Papers
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