Adrish Anand

Baylor College of Medicine

Papers

2

Total Citations

43

H-Index

2

About

Adrish Anand is a rising leader in stereotactic and functional neurosurgery, with a research focus on precision neuromodulation and advanced surgical robotics. His most cited work, "Robot-Assisted Deep Brain Stimulation: High Accuracy and Streamlined Workflow" (2022, 33 citations), demonstrates that robotic stereotaxy achieves comparable accuracy to traditional frame-based systems while significantly reducing operating room times—a finding that directly improves patient care and surgical efficiency. Anand has also pioneered the use of stereo-electroencephalography (SEEG) to map and modulate dysfunctional neural circuits in psychiatric disorders, notably in his 2023 paper on network modulation for treatment-resistant depression. This work bridges cutting-edge neuroimaging with surgical intervention, offering new hope for patients with refractory psychiatric conditions. By integrating robotic precision with circuit-based targeting, Anand is helping to define the next generation of functional neurosurgery—where accuracy, efficiency, and a deeper understanding of brain networks converge to transform outcomes for patients with movement and psychiatric disorders.

Research Focus

Key Achievements

2
H-Index
2
Papers
43
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Robot-Assisted Deep Brain Stimulation: High Accuracy and Streamlined Workflow
33 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: Baylor College of Medicine

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago