Suzanne McDonough
Papers
1
Total Citations
42
H-Index
1
About
Suzanne McDonough is a leading figure in neurorehabilitation, whose research bridges the fields of brain-computer interfaces, stroke recovery, and motor control. Her work focuses on developing and validating innovative, technology-driven interventions to restore upper-limb function in individuals with neurological impairments, particularly post-stroke hemiparesis. A key contribution is her investigation into the neurophysiological mechanisms underpinning recovery, as demonstrated in her highly cited 2019 study on brain-machine interface (BMI)-driven robot-assisted therapy. This work revealed that functional improvements correlate with specific changes in beta-band mediated cortical networks, providing crucial insights into how the brain reorganizes after injury. With over 42 citations, this paper has helped shape the understanding of how BMI-based therapies can drive neuroplasticity. McDonough’s research is notable for its translational impact, combining rigorous clinical trials with advanced neuroimaging to optimize rehabilitation protocols. Her achievements include pioneering the integration of real-time neural feedback with robotic exoskeletons, a paradigm that is now influencing clinical practice and the design of next-generation assistive technologies for stroke survivors.
Research Focus
Key Achievements
Top Papers
- 1