Paula Trujillo
Papers
1
Total Citations
87
H-Index
1
About
Paula Trujillo is a leading researcher in neurorehabilitation, with a focus on integrating quantitative electroencephalography (qEEG) and robotic-assisted therapy to predict and enhance motor recovery after stroke. Her most-cited work, a 2017 study on using qEEG to forecast upper limb motor recovery in chronic stroke patients undergoing robot-assisted rehabilitation (87 citations), has been pivotal in identifying neural biomarkers that explain the heterogeneous outcomes observed in post-stroke therapy. By demonstrating that cortical activity patterns can predict individual recovery trajectories, Trujillo has advanced the field toward personalized rehabilitation protocols, moving beyond one-size-fits-all approaches. Her research bridges neurophysiology and clinical robotics, offering new hope for the millions of adults disabled by stroke each year. Beyond this landmark study, Trujillo’s contributions have shaped how clinicians and engineers design targeted interventions for upper limb deficits, emphasizing the role of brain-state monitoring in optimizing therapy timing and intensity. Her work continues to influence both rehabilitation science and translational neuroscience, making her a key figure in the quest to improve functional outcomes for chronic stroke survivors.
Research Focus
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Top Papers
- 1