Papers

7

Total Citations

342

H-Index

7

About

Bradley Lega is a neurosurgeon-scientist whose work spans two remarkably distinct yet complementary domains: human memory neuroscience and minimally invasive neurosurgical technique. His most influential research investigates the electrophysiological underpinnings of episodic memory, particularly the role of the hippocampus. His landmark 2017 study (121 citations) demonstrated that theta band power increases in the posterior hippocampus reliably predict successful memory encoding in humans — a pivotal finding that bridged decades of rodent research with human intracranial electrophysiology. His subsequent work on longitudinal hippocampal connectivity further refined our understanding of how distinct hippocampal subregions contribute differentially to memory formation, with direct implications for epilepsy surgery planning. Equally notable are Lega's contributions to robotic neurosurgery. His early cadaveric and clinical studies on transoral robotic approaches to the craniocervical junction and skull base (earning over 190 combined citations) helped establish the feasibility and boundaries of da Vinci-assisted surgery in some of the most anatomically challenging territories in neurosurgery. More recently, his prospective work on laser interstitial thermal therapy for mesial temporal lobe epilepsy and meningioma reflects a sustained commitment to advancing minimally invasive treatments. Lega's career exemplifies the rare integration of rigorous laboratory science with translational surgical innovation.

Research Focus

Key Achievements

7
H-Index
7
Papers
342
Total Citations
49
Avg Citations/Paper
🏆 Most Cited Paper
Theta band power increases in the posterior hippocampus predict successful episodic memory encoding in humans
121 citations · 2017
📈 Most Prolific Year: 2010 (2 Papers)
🤝 Key Collaborators: 46
🏛 Institutions: Neurological Surgery, The University of Texas Southwestern Medical Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago