Atahan Agrali
Papers
3
Total Citations
22
H-Index
2
About
Atahan Agrali is a pioneering researcher at the intersection of neuroscience, cognitive ergonomics, and surgical training, with a focused expertise in understanding how surgeons learn and adapt when mastering advanced minimally invasive techniques. His work leverages functional near-infrared spectroscopy (fNIRS) to measure prefrontal cortex hemodynamic activity, offering a window into the neural and cognitive processes underlying skill acquisition in both robot-assisted surgery (RAS) and laparoscopic surgery training environments. Agrali's most influential contribution, "Studying Brain Activation during Skill Acquisition via Robot-Assisted Surgery Training" (2021), has garnered 16 citations and established a compelling framework for evaluating how surgical trainees' brain activity evolves as proficiency develops. His subsequent comparative work examining cognitive workload differences between RAS and laparoscopic simulators further deepens this understanding, providing surgical educators with objective, neuroimaging-based metrics to optimize training curricula. His earlier foundational study on fNIRS assessment of robotic surgery simulators helped lay the empirical groundwork for this emerging field. Collectively, Agrali's research equips medical education with evidence-based tools to assess trainee readiness and cognitive demands, ultimately contributing to safer surgical outcomes and more effective training programs worldwide.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3