F
Francis Eustache
Researcher at University of Paris
Publications - 565
Citations - 25058
Francis Eustache is an academic researcher from University of Paris. The author has contributed to research in topics: Episodic memory & Semantic memory. The author has an hindex of 80, co-authored 529 publications receiving 22589 citations. Previous affiliations of Francis Eustache include PSL Research University & University of Caen Lower Normandy.
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La variante frontale de la maladie d’Alzheimer
TL;DR: In this article, the authors present a diagnostic of a frontale variant of the maladie d'Alzheimer (MA) with un haut degre de probabilite, en confrontant le profil neuropsychologique et les biomarqueurs.
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Attentional capture mediates the emergence and suppression of intrusive memories
Nicolas Legrand,Olivier Etard,Fausto Viader,Patrice Clochon,Franck Doidy,Francis Eustache,Pierre Gagnepain +6 more
TL;DR: This article used machine learning to decode the brain's electrical activity and pinpoint the otherwise hidden emergence of intrusive memories reported during a memory suppression task, mimicking either the abrupt and interfering appearance of visual scenes into conscious awareness or their deliberate exploration.
Exploring the ERP time-course of associative recognition in Autism
Pierre Desaunay,Patrice Clochon,Franck Doidy,Anna Lambrechts,Prany Wantzen,Fabrice Wallois,Mahdi Mahmoudzadeh,Jean-Marc Guilé,Fabian Guénolé,Jean-Marc Baleyte,Francis Eustache,Dermot M. Bowler,Bérengère Guillery-Girard +12 more
TL;DR: ERP data revealed qualitative similarities but quantitative differences between-group, with diminished priming and familiarity processes partially compensated by an enhanced parietal recollection process.
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Apports de l'imagerie fonctionnelle cérébrale à la modélisation des effets d'amorçage
Karine Lebreton,Francis Eustache +1 more
TL;DR: In this article, the results of studies that have used positron emission tomography (PET) and functional magnetic resonance imaging (fMRl) to explore synoptic activity, and the electrophysiological techniques, such as event-related potentials (ERP), are presented.