Mariana Ridolfi
Papers
1
Total Citations
6
H-Index
1
About
Mariana Ridolfi is a researcher whose work sits at the intersection of neuroscience, rehabilitation engineering, and human-robot interaction. Her primary focus is on understanding how the brain controls movement, particularly in the context of motor imagery and robotic assistance. Her most-cited paper, "Cerebral hemodynamic changes during motor imagery and passive robot-assisted movement of the lower limbs" (2019, 6 citations), is a foundational study that uses functional near-infrared spectroscopy (fNIRS) to map brain activity during different motor tasks. This work is critical for designing more effective brain-computer interfaces (BCIs) and neurorehabilitation protocols for patients with motor impairments, such as those recovering from stroke or spinal cord injury. By comparing how the brain responds to imagined movement versus passive robotic assistance, Ridolfi provides key insights into the neural mechanisms that can be leveraged for therapy. Though early in her career, her research has already been cited in studies exploring robotic exoskeletons and neurofeedback systems, underscoring its practical relevance. Her work stands out for its clear translational potential, bridging basic neuroscience with tangible clinical applications in assistive technology.
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Top Papers
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