Papers

3

Total Citations

1,001

H-Index

3

About

Ammar Shaikhouni is a neurosurgeon and researcher at the forefront of brain-computer interfaces (BCIs) and advanced neuromodulation. His landmark contribution, the 2016 study "Restoring cortical control of functional movement in a human with quadriplegia" (953 citations), demonstrated the first successful use of a wireless intracortical BCI to restore functional, multi-joint arm and hand movements in a paralyzed individual—a pivotal moment in neuroprosthetics. Shaikhouni’s work bridges fundamental neuroscience and clinical translation, showing how neural signals can bypass spinal injuries to reanimate limbs. More recently, he has focused on the next generation of deep brain stimulation (DBS), co-authoring a comprehensive 2021 review (41 citations) that explores directional leads, closed-loop sensing, robotic assistance, and connectomics—technologies poised to personalize DBS for movement disorders, epilepsy, and psychiatric conditions. His earlier work on computational approaches in neurosurgery (2012) laid groundwork for integrating machine learning into surgical planning. With over 1,000 combined citations, Shaikhouni’s research continues to push the boundaries of what is possible in restoring function and treating neurological disease, making him a leading voice in the era of precision neuromodulation.

Research Focus

Key Achievements

3
H-Index
3
Papers
1,001
Total Citations
334
Avg Citations/Paper
🏆 Most Cited Paper
Restoring cortical control of functional movement in a human with quadriplegia
953 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: The Ohio State University, The Ohio State University Wexner Medical Center

Top Papers

  1. 1
  2. 2
  3. 3
    Computers and Neurosurgery
    7 citations · 2012

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago