Papers
4
Total Citations
19
H-Index
3
About
Lauren Lacey is a researcher specializing in robotic rehabilitation engineering, neuromodulation, and neural plasticity, with a particular focus on restoring motor function in stroke survivors with hemiparesis. Her work sits at the intersection of robotics, neuroscience, and clinical rehabilitation, where she has made meaningful contributions to understanding and replicating the mechanisms behind facilitation techniques used in stroke recovery. Lacey's most notable contributions center on the development and analysis of robotic neuromodulatory rehabilitation systems (RNRS) designed to synchronize voluntary and involuntary nerve impulses — a technique known as repetitive facilitation exercise (RFE). Her most-cited work (2016, 8 citations) rigorously examined the timing accuracy of robotic paired associative stimulation (PAS), combining transcranial magnetic stimulation with peripheral nerve stimulation to induce neural plasticity. Earlier papers explored the neuromechanical underpinnings of hemiparetic recovery through MRI studies and functional synchronization paradigms, accumulating a total of over 19 citations across her key publications. What distinguishes Lacey's research is her systems-engineering approach to a deeply clinical problem — translating complex neurophysiological principles into precise, reproducible robotic interventions that could meaningfully improve rehabilitation outcomes for stroke patients.
Research Focus
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