About

Olivier David is a pioneering researcher at the intersection of non-invasive brain stimulation and systems neuroscience, with a primary focus on transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG). His major contributions lie in developing methodological frameworks to probe cortical excitability and microcircuit dynamics, most notably through robotized TMS-EEG systems that enable precise, reproducible mapping of functional cytoarchitectonics. His landmark 2019 paper on reproducibility in TMS-EEG studies—cited over 150 times—has become a foundational call for standardized protocols and data sharing in the field. David’s work has been instrumental in characterizing input-output properties of cortical regions, with key studies demonstrating how TMS-evoked potentials reflect local neuronal excitability. His recent multi-scale TMS mapping approach (2023) offers a proof-of-principle for combining TMS-EMG and TMS-EEG to study Parkinson’s disease patients with deep brain stimulation. Beyond neuroscience, David has contributed to robotics and remote handling systems for nuclear fusion applications, reflecting a uniquely interdisciplinary career. With over 350 citations across his most-cited works, his research continues to shape both the technical rigor and clinical translation of TMS-EEG methodologies.

Research Focus

Key Achievements

7
H-Index
10
Papers
351
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
Reproducibility in TMS–EEG studies: A call for data sharing, standard procedures and effective experimental control
152 citations · 2019
📈 Most Prolific Year: 2008 (2 Papers)
🤝 Key Collaborators: 58
🏛 Institutions: Inserm, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Université Grenoble Alpes, Laboratoire d'Intégration des Systèmes et des Technologies, CEA Paris-Saclay - Etablissement de Fontenay-aux-roses

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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