Jill A. Jacobson
Papers
4
Total Citations
41
H-Index
3
About
Jill A. Jacobson is a researcher whose work sits at the intersection of advanced data analytics and clinical neuroscience, with a particular focus on understanding neurological dysfunction through robotic assessment platforms. Her most significant contributions involve applying principal component analysis (PCA) to simplify the complex, high-dimensional datasets produced by robotic technology like the KINARM system, which measures sensory, motor, and cognitive functions. In her highly cited 2018 paper (16 citations), she demonstrated how PCA could reduce granular performance metrics into meaningful behavioral patterns in healthy participants, a methodological breakthrough she later replicated across different robotic platforms in 2021 (15 citations). Jacobson’s research has profound clinical implications: she has explored how these robotic assessments can detect visuospatial and executive dysfunction in patients with kidney disease, and she is investigating the relationship between cerebral oxygenation—measured via near-infrared spectroscopy—and neurological complications in critically ill adults, as part of a Canadian Critical Care Trials Group protocol. Her work is notable for bridging engineering and medicine, providing tools to uncover subtle neurocognitive impairments that traditional testing often misses.
Research Focus
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Top Papers
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