Papers

6

Total Citations

99

H-Index

4

About

Caio M. Matias is a neurosurgeon and researcher whose work sits at the intersection of stereotactic neurosurgery, deep brain stimulation (DBS), and robotic-assisted surgical techniques. His research has meaningfully advanced the precision and safety of electrode implantation procedures, particularly for conditions such as essential tremor and epilepsy requiring stereoelectroencephalography (sEEG). Matias is perhaps best known for his landmark meta-analysis examining robot-assisted stereotaxy across 6,056 trajectories, which demonstrated that robotic guidance significantly reduces target error in DBS and sEEG procedures — a finding that has garnered over 60 citations and helped shape modern surgical practice. His investigations extend into cutting-edge imaging methodologies, including probabilistic tractography for prospective thalamic targeting during asleep DBS, improving the reliability of VIM nucleus localization for tremor patients. He has also evaluated frameless fiducial registration systems and studied electrode placement accuracy across different patient positioning protocols. A recurring theme throughout Matias's portfolio is translating technological innovation into clinically actionable improvements. His more recent work addressing learning curves in robotic stereotactic surgery provides practical guidance for surgical training programs. Collectively, his contributions reflect a commitment to optimizing neurosurgical accuracy, patient outcomes, and the responsible adoption of emerging technologies in the operating room.

Research Focus

Key Achievements

4
H-Index
6
Papers
99
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Robot-Assisted Stereotaxy Reduces Target Error: A Meta-Analysis and Meta-Regression of 6056 Trajectories
62 citations · 2020
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Thomas Jefferson University Hospital, Thomas Jefferson University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago