Keith K. Fenrich

University of Alberta

Papers

3

Total Citations

93

H-Index

3

About

Keith K. Fenrich has made pioneering contributions to the field of spinal cord injury rehabilitation, focusing on the development of automated training systems to restore skilled forelimb function. His research centers on understanding the intensity thresholds required for efficient recovery after cervical spinal cord injury, using rat models to bridge preclinical and clinical applications. Fenrich’s most impactful work includes the creation of an automated, ad libitum full-time training robot that enables consistent, high-volume single pellet grasping tasks, dramatically improving rehabilitation outcomes. His 2020 study on self-directed training intensity thresholds (34 citations) established critical benchmarks for recovery, while his 2014 and 2015 papers on the training robot (31 and 28 citations, respectively) demonstrated its efficacy in enhancing motor function. These innovations have not only advanced the mechanistic understanding of activity-dependent plasticity but also provided a scalable, reproducible platform for preclinical trials. Fenrich’s work is notable for its translational potential, offering a robust framework for designing rehabilitation protocols that maximize neural recovery after spinal cord injury.

Research Focus

Key Achievements

3
H-Index
3
Papers
93
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Self-directed rehabilitation training intensity thresholds for efficient recovery of skilled forelimb function in rats with cervical spinal cord injury
34 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of Alberta

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago