Brooke Beattie

Queen's University

Papers

2

Total Citations

9

H-Index

1

About

Brooke Beattie is a researcher at the forefront of integrating robotics with clinical neuroscience, focusing on the sensorimotor and cognitive deficits associated with epilepsy. Her primary research areas include the development and validation of robotic platforms for neuropsychological assessment, with a particular emphasis on temporal lobe epilepsy (TLE). Beattie’s major contribution lies in pioneering robotic tools that can objectively quantify impairments in executive function, working memory, and declarative memory—domains often compromised in epilepsy patients. Her most-cited work, “Robotic assessment of sensorimotor and cognitive deficits in patients with temporal lobe epilepsy” (2024, 8 citations), demonstrates the feasibility of using robotic systems to screen for cognitive decline, offering a novel, standardized alternative to traditional paper-and-pencil tests. Additionally, her 2023 study on the validity of robotic cognitive assessment (1 citation) provides foundational evidence for this emerging methodology. Beattie’s work is notable for bridging engineering and neurology, potentially transforming how cognitive screening is conducted in clinical settings. Her research holds promise for early detection and personalized intervention, making her a key figure in the growing field of robotic neuropsychology.

Research Focus

Key Achievements

1
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Robotic assessment of sensorimotor and cognitive deficits in patients with temporal lobe epilepsy
8 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Queen's University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago