Silvana Franceschetti
Papers
1
Total Citations
17
H-Index
1
About
Silvana Franceschetti’s research lies at the intersection of clinical neurophysiology and stroke rehabilitation, with a particular focus on understanding brain dynamics during motor recovery. Her major contributions center on using event-related desynchronization and synchronization (ERD/ERS) patterns to predict functional outcomes in chronic stroke patients undergoing robot-assisted therapy. In her most cited work (2016, 17 citations), she demonstrated that specific electroencephalographic markers could forecast which patients would benefit most from robotic rehabilitation—a critical step toward personalized neurorehabilitation. This work addresses a pressing clinical need: identifying responders to costly robotic interventions. Beyond this, Franceschetti has advanced the understanding of cortical plasticity and oscillatory activity in motor recovery, bridging basic neurophysiology with translational applications. Her research has been instrumental in shaping how clinicians evaluate and tailor rehabilitation strategies for stroke survivors. With a career dedicated to unraveling the neural mechanisms of recovery, Franceschetti’s findings continue to inform both rehabilitation protocols and the design of brain-computer interface systems, making her a key figure in modern neurorehabilitation science.
Research Focus
Key Achievements
Top Papers
- 1