Ben Shofty

Baylor College of Medicine, University of Utah

Papers

4

Total Citations

59

H-Index

4

About

Ben Shofty is a neurosurgeon and researcher whose work sits at the intersection of functional neurosurgery, neuromodulation, and advanced stereotactic techniques. His research focuses on deep brain stimulation (DBS), robotic stereotaxy, and circuit-based approaches to treating neurological and psychiatric disorders, including epilepsy, obsessive-compulsive disorder, and treatment-resistant depression. Shofty's most impactful contribution to date is his 2022 study on robot-assisted DBS, which demonstrated high targeting accuracy and improved operative workflow—work that has already garnered 33 citations and is shaping how functional neurosurgeons approach lead implantation. Complementing this, his 2020 paper on robotic placement of responsive neurostimulation hippocampal electrodes (12 citations) helped establish best practices for a technically demanding epilepsy surgery application. More recently, Shofty has pushed into innovative territory by exploring stereo-EEG-guided network modulation for psychiatric disorders, reflecting a growing movement toward personalized, circuit-informed neuromodulation. His work on current-steering strategies to minimize DBS side effects in OCD further underscores his commitment to refining patient safety alongside efficacy. Together, these contributions mark Shofty as an emerging leader in precision functional neurosurgery.

Research Focus

Key Achievements

4
H-Index
4
Papers
59
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Robot-Assisted Deep Brain Stimulation: High Accuracy and Streamlined Workflow
33 citations · 2022
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 43
🏛 Institutions: Baylor College of Medicine, University of Utah

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago