Jlenia Toppi
Papers
1
Total Citations
6
H-Index
1
About
Jlenia Toppi is a leading researcher in neurorehabilitation engineering, whose work focuses on understanding the neural and behavioral mechanisms underlying human-robot interaction during motor recovery. Her primary research areas include brain-computer interfaces, electroencephalography (EEG), and the dynamics of physiotherapist-patient interaction in robotic-assisted therapy. Toppi’s major contributions lie in integrating multimodal neuroimaging—such as high-density EEG and eye-tracking—to investigate how visual feedback and social cues shape motor learning and rehabilitation outcomes. Her highly cited 2024 study, “On the role of visual feedback and physiotherapist-patient interaction in robot-assisted gait training,” is a landmark work that reveals how the introduction of a robotic agent alters the traditional therapist-patient dyad, highlighting the critical importance of real-time feedback loops for effective gait training. With over 6 citations already, this paper exemplifies her impact on the field. Toppi’s research not only advances fundamental knowledge of motor control and neuroplasticity but also provides actionable insights for designing more intuitive, patient-centered robotic rehabilitation systems. Her work bridges engineering, neuroscience, and clinical practice, making her a key figure in the future of personalized neurorehabilitation.
Research Focus
Key Achievements
Top Papers
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