Patricia Debergue

National Research Council Canada

Papers

2

Total Citations

8

H-Index

2

About

Patricia Debergue is a leading researcher at the intersection of cognitive aging and AgeTech, dedicated to developing and evaluating technology-driven solutions that support healthy aging and independence. Her work is defined by two key areas: designing ecologically valid cognitive training interventions and advancing the standards and guidelines that govern technology for older adults. In her highly cited 2020 study, Debergue pioneered the use of Brain-Machine Interface and Virtual Reality (BMI-VR) for cognitive training, demonstrating that immersive, interactive environments can significantly improve attention switching and processing speed in older adults—a critical step toward preventing cognitive decline and dementia. Her 2024 scoping review is equally influential, systematically mapping the fragmented landscape of standards and guidelines in AgeTech design, from digital health to robotics. By identifying critical gaps and best practices, this work provides a foundational roadmap for developers, policymakers, and researchers to create safer, more effective, and user-centered technologies. With her research garnering attention for its practical, real-world impact, Patricia Debergue is shaping the future of aging in place, ensuring that technology is not only innovative but also ethical, accessible, and rigorously validated.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
BMI-VR based Cognitive Training improves Attention Switching Processing Speed
4 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: National Research Council Canada

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago