Marianna Cavinato
Papers
5
Total Citations
255
H-Index
4
About
Marianna Cavinato is a leading researcher in neurorehabilitation engineering, with a primary focus on developing brain-computer interface (BCI) and brain-machine interface (BMI) technologies for post-stroke motor recovery. Her seminal review, “Brain-Computer Interface in Stroke: A Review of Progress” (2011, 221 citations), established a foundational framework for applying BCI feedback training to stroke rehabilitation, demonstrating the efficacy of closed-loop sensorimotor systems in restoring upper limb function. Cavinato’s major contributions include pioneering a novel BMI paradigm that integrates contingent force feedback with proprioceptive stimulation, as detailed in her 2013 case study, which enables rapid, proportional modulation of neural pathways to enhance neuroplasticity. Her 2014 work on an EEG-based BCI platform specifically targets arm reaching ability in chronic stroke patients through operant learning, achieving measurable improvements in daily living activities. Cavinato has also explored embodied interfaces, evaluating mobile robots as physical I/O devices for BCI systems (2009). Her work is distinguished by its translational approach, bridging fundamental neuroscience with practical rehabilitation tools. With cumulative citations exceeding 250, Cavinato’s research continues to shape the landscape of non-invasive neural rehabilitation, offering new hope for motor recovery in stroke survivors.
Research Focus
Key Achievements
Top Papers
- 1Brain-Computer Interface in Stroke: A Review of Progress221 citations · 2011
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