Marie‐Laure Welter
Papers
2
Total Citations
35
H-Index
2
About
Marie‐Laure Welter is a leading figure in functional neurosurgery and movement disorders, with a particular focus on deep brain stimulation (DBS) and gait analysis. Her landmark work on the accuracy of robot-assisted DBS procedures has set a new standard in the field, demonstrating that robotic guidance can achieve high precision in electrode placement—a critical factor for therapeutic success. This study, which has garnered 31 citations, provides essential benchmarks for neurosurgical teams worldwide, directly improving patient outcomes in Parkinson’s disease and other movement disorders. Beyond surgical technique, Welter has pioneered the integration of computational modeling into clinical research. Her innovative use of optimal control theory and nonlinear model predictive control—tools borrowed from humanoid robotics—has enabled a deeper, more quantitative understanding of human gait. This work, though early in its citation impact, offers a powerful framework for analyzing natural and fast walking patterns, with potential applications in rehabilitation and prosthetic design. By bridging engineering principles with clinical neurology, Welter is shaping the future of personalized, technology-driven care for patients with motor impairments.
Research Focus
Key Achievements
Top Papers
- 1Accuracy of the robot‐assisted procedure in deep brain stimulation31 citations · 2019
- 2Gait analysis using optimality criteria imputed from human data4 citations · 2017