Prabhav Mehra
Papers
1
Total Citations
25
H-Index
1
About
Prabhav Mehra is a researcher at the intersection of neurorehabilitation and brain-computer interfaces, with a focus on understanding how the brain reorganizes after injury. His most cited work, a 2020 study on robotic hand training in chronic stroke survivors, pioneered the combined use of electroencephalography (EEG) complexity and functional magnetic resonance imaging (fMRI) connectivity to map neural recovery. This research demonstrated that robotic therapy not only improves motor control but also induces measurable changes in brain dynamics—linking clinical improvements to shifts in cortical network efficiency. With 25 citations, this paper has become a foundational reference for integrating multimodal neuroimaging into rehabilitation science. Mehra’s contributions are notable for bridging engineering and clinical neuroscience, offering new biomarkers for personalized stroke therapy. His work underscores a commitment to translating robotic and neuroimaging tools into practical recovery metrics, making him a key voice in the growing field of technology-driven neurorehabilitation.
Research Focus
Key Achievements
Top Papers
- 1