Fei Meng

Capital Medical University

Papers

1

Total Citations

17

H-Index

1

About

Fei Meng is a neuroscience researcher specializing in stereotactic and functional neurosurgery, with a particular focus on advancing the precision and safety of stereoelectroencephalography (SEEG) — a minimally invasive technique used in the diagnosis and surgical planning of drug-resistant epilepsy. Meng's most recognized work investigates how accuracy can be optimized when implanting multi-lobe-spanning SEEG electrodes using frameless stereotactic robot-assisted systems, a technically demanding procedure where increased electrode angularity and length introduce significant placement challenges. This 2021 study, which has garnered 17 citations, represents a meaningful contribution to the growing body of literature on robotic neurosurgery, offering clinicians data-driven insights into the factors governing electrode accuracy — knowledge that directly informs safer surgical outcomes for epilepsy patients. By rigorously analyzing error sources within robotic-assisted frameworks, Meng's research helps bridge the gap between emerging surgical technologies and their reliable clinical application. Their work is particularly valuable to neurosurgeons, neurologists, and biomedical engineers seeking to refine robotic stereotactic workflows, and positions Meng as a thoughtful contributor to the evolving landscape of precision epilepsy surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
17
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
How can the accuracy of SEEG be increased?—an analysis of the accuracy of multilobe-spanning SEEG electrodes based on a frameless stereotactic robot-assisted system
17 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Capital Medical University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago