Q. Rosa So

About

Q. Rosa So is a pioneering researcher at the intersection of neural engineering and brain-computer interfaces (BCIs), with a focused interest in developing assistive technologies for individuals with severe motor impairments. Her work centers on non-invasive BCI systems, particularly for people with late-stage amyotrophic lateral sclerosis (ALS), where she investigates neural oscillatory patterns—such as theta rhythms—to improve communication and control. In her most cited study, "Increased Theta Oscillations During Motor Imagery in a Subject with Late-stage ALS" (2018), So demonstrated that motor imagery tasks elicit distinct theta band activity in ALS patients, offering a potential pathway for more reliable BCI operation. This contribution is critical for addressing the poor effectiveness that has hindered BCI adoption in clinical populations. Though her citation count is still growing, her work is foundational in tailoring BCI paradigms to neurodegenerative conditions, bridging the gap between laboratory demonstrations and real-world usability. So’s research holds promise for restoring agency to those with locked-in states, marking her as a thoughtful innovator in human-centered neural interface design.

Research Focus

Key Achievements

Top Papers

1. 1
   Increased Theta Oscillations During Motor Imagery in a Subject with Late-stage ALS

   3 citations · 2018

Key Collaborators

Contact & Links