Andria J. Farrens

University of Delaware, University of California, Irvine

Papers

18

Total Citations

110

H-Index

7

About

Andria J. Farrens is a biomedical engineer and neuroscientist whose research sits at the intersection of rehabilitation robotics, neuroimaging, and sensorimotor neuroscience. Her work focuses on developing innovative tools and methods to better understand and restore motor function following neurological injury, particularly stroke. Among her most significant contributions is the development and validation of fMRI-compatible mechatronic devices, enabling precise investigation of brain activity during complex sensorimotor tasks — work that has attracted 17 citations and established a rigorous methodological framework for the field. Farrens has also pioneered "StretchfMRI," a novel technique for non-invasively quantifying reticulospinal tract function, addressing a long-standing gap in understanding post-stroke motor recovery. Her engineering achievements include the design of a spherical 5-bar thumb exoskeleton for post-stroke rehabilitation, cited 14 times, advancing accessible robotic therapy for hand impairment. Across her portfolio, she has tackled proprioceptive assessment — developing both robotic and webcam-based tools to make clinical evaluation more accessible — while also probing the neural underpinnings of motor adaptation through fMRI. With over 90 cumulative citations across a decade of work, Farrens represents an emerging leader bridging neuroscience, robotics, and translational rehabilitation research.

Research Focus

Key Achievements

7
H-Index
18
Papers
110
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Quantitative Testing of fMRI-Compatibility of an Electrically Active Mechatronic Device for Robot-Assisted Sensorimotor Protocols
17 citations · 2017
📈 Most Prolific Year: 2019 (5 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: University of Delaware, University of California, Irvine

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago