Papers

5

Total Citations

156

H-Index

4

About

Lysianne Beynel is a cognitive neuroscientist whose research lies at the intersection of working memory, aging, and non-invasive brain stimulation. Her work primarily investigates how repetitive transcranial magnetic stimulation (rTMS) can modulate neural circuits underlying cognitive functions, particularly working memory and decision-making. Beynel’s most cited study (73 citations) demonstrated that online rTMS during a working memory task differentially affects younger and older adults, revealing age-specific neural dynamics. She has also pioneered methods to map cortical microcircuit properties using robotized TMS-EEG, advancing the field of functional cytoarchitectonics. Her research extends to testing network models of perceptual decision-making, using TMS to causally probe the lateral occipital cortex’s role in visual information accumulation. Beynel’s work is notable for its methodological rigor, combining fMRI-guided stimulation with behavioral paradigms like the numerical Stroop task to isolate site-specific effects. With over 150 total citations, her contributions are shaping our understanding of how targeted brain stimulation can enhance cognition in healthy aging and inform therapeutic interventions for age-related cognitive decline.

Research Focus

Key Achievements

4
H-Index
5
Papers
156
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Online repetitive transcranial magnetic stimulation during working memory in younger and older adults: A randomized within-subject comparison
73 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: Duke University, Centre National de la Recherche Scientifique, National Institute of Mental Health

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago