Gabriele Arnulfo

University of Helsinki, University of Genoa

Papers

Total Citations

643

H-Index

About

Gabriele Arnulfo is a leading figure in computational neuroscience and clinical neuroengineering, whose work bridges the gap between advanced surgical robotics and the fundamental understanding of human brain dynamics. His research primarily focuses on stereoelectroencephalography (SEEG) methodology, brain connectivity, and the development of novel tools for presurgical evaluation of drug-resistant epilepsy. Arnulfo’s most influential contribution is his seminal 2012 paper on SEEG methodology, which has garnered over 523 citations and serves as a modern reference for the technique originally pioneered by Talairach and Bancaud. He has also made significant strides in surgical precision, notably through his 2017 study introducing the Neurolocate frameless registration system for robot-assisted intracranial surgery. This work, cited over 120 times, demonstrated comparable accuracy to traditional frame-based methods while enabling touch-free patient registration, a major advancement in workflow safety and efficiency. Beyond these technical innovations, Arnulfo’s research on phase-amplitude coupling and large-scale brain networks has deepened our understanding of how neural oscillations support cognition and are disrupted in epilepsy. His work is essential reading for anyone interested in the intersection of clinical neurology, robotics, and systems neuroscience.