Emily M. Mugler
Papers
1
Total Citations
23
H-Index
1
About
Emily M. Mugler’s research sits at the intersection of neural engineering and clinical neuroscience, with a primary focus on developing brain-machine interfaces (BMIs) for individuals with severe motor impairments. Her most cited work, “Hemicraniectomy in Traumatic Brain Injury: A Noninvasive Platform to Investigate High Gamma Activity for Brain Machine Interfaces” (2019, 23 citations), introduces a novel approach to studying high gamma band activity—a key neural signal for BMI control—by leveraging the unique window provided by hemicraniectomy in traumatic brain injury patients. This work demonstrates her ability to bridge invasive and noninvasive recording methodologies, advancing our understanding of how to decode motor intent from the brain. Mugler’s contributions are particularly notable for their translational potential, offering a platform to test BMI algorithms in human subjects without the risks of implanted electrodes. Her research has been cited in studies exploring ECoG-based control and neural signal processing, underscoring its impact on the field. By combining rigorous experimental design with clinical relevance, Mugler is helping to pave the way for more accessible and effective neural prosthetics.
Research Focus
Key Achievements
Top Papers
- 1