Papers
5
Total Citations
255
H-Index
5
About
Paolo Manganotti is a leading clinical neuroscientist whose research bridges neurorehabilitation, brain-computer interfaces, and cortical plasticity. His work focuses on understanding how robot-assisted therapy reshapes brain oscillations and motor recovery, particularly in stroke patients with upper limb deficits. Manganotti’s most cited study (124 citations) demonstrated that event-related desynchronization (ERD) in EEG can be modulated during active, passive, and imagined robot-assisted hand movements, revealing distinct cortical oscillatory patterns underlying each condition. This foundational insight has guided the design of more targeted rehabilitation protocols. His 2018 prospective pilot study (58 citations) further showed that bilateral robot-assisted arm training in chronic stroke patients significantly improves motor function and alters EEG power spectra, providing neural evidence for the therapy’s efficacy. Manganotti has also explored time-frequency modulation of ERD and EEG coherence, as well as the effects of somatic sensation training on somatosensory deficits. By integrating EEG with robotic devices, he has pioneered non-invasive methods to track cortical reorganization in real time. His work has profound implications for personalized neurorehabilitation, offering objective biomarkers to optimize recovery after neurological injury.
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