{"id":14407,"date":"2025-12-12T08:05:56","date_gmt":"2025-12-12T07:05:56","guid":{"rendered":"https:\/\/www.ibisc.univ-evry.fr\/valentin-debenay-will-defend-his-doctoral-thesis-on-thursday-december-18-2025-investigating-new-opportunities-offered-by-the-renormalization-method-application-to-the-in\/"},"modified":"2026-02-03T13:11:51","modified_gmt":"2026-02-03T12:11:51","slug":"valentin-debenay-will-defend-his-doctoral-thesis-on-thursday-december-18-2025-investigating-new-opportunities-offered-by-the-renormalization-method-application-to-the-in","status":"publish","type":"post","link":"https:\/\/www.ibisc.univ-evry.fr\/en\/valentin-debenay-will-defend-his-doctoral-thesis-on-thursday-december-18-2025-investigating-new-opportunities-offered-by-the-renormalization-method-application-to-the-in\/","title":{"rendered":"Valentin DEBENAY will defend his doctoral thesis on Thursday, December 18, 2025: \u201cInvestigating new opportunities offered by the \u201crenormalization\u201d method: application to the inversion of electroencephalographic measurements\u201d"},"content":{"rendered":"

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Valentin DEBENAY defends his doctoral thesis on Thursday, December 18th, 2025, 1:30pm, University of \u00c9vry, Pelvoux Site, Yasmina Bestaoui Bx30 Amphitheather.<\/p>\n

The thesis defense may be visible via Zoom: https:\/\/univ-evry-fr.zoom.us\/j\/92935151679?pwd=8xS4UHuVMKbTVqYCHPlvj33cC8wkaT.1<\/a><\/span><\/strong> .<\/p>\n

Title : Investigating new opportunities offered by the \u201crenormalization\u201d method: application to the inversion of electroencephalographic measurements<\/strong>.<\/h2>\n

Abstract<\/h2>\n
In this PhD thesis, I extend, evaluate, and ultimately apply to the neuroelectric inverse problem an inversion method known as \u2018renormalization\u2019, based on the concept of sensor-network \u2018visibility\u2019 and initially developed within the LMEE for characterizing pollutant emission sources in the atmosphere. After a brief overview of key notions regarding the human brain and electroencephalography (EEG), I discuss the positioning of this thesis in relation to the existing literature on EEG signal inversion methods. I then present the atmospheric origins and theoretical foundations of the renormalization method and the \u2018visibility\u2019 concept, before explaining how they are extended to address the neuroelectric inverse problem. I subsequently evaluate the method using noisy synthetic EEG signals, and then compare the accuracy of its estimations with those produced by four of the most frequently cited inversion methods in the literature: Minimum Norm, WNMN (dSPM), sLORETA, and eLORETA. Finally, I apply the renormalization method to the detection of physiological markers of vulnerability to age-related cognitive decline in individuals aged 50 to 60 and conduct a statistical analysis of the results. I conclude my presentation by highlighting the main insights gained from this doctoral work and by discussing the perspectives it offers for future studies.<\/div>\n
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Doctoral thesis jury composition<\/h3>\n<\/div>\n
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Membre du jury<\/th>\nTitre<\/th>\nLieu d’exercice<\/th>\nFonction dans le jury<\/th>\n<\/tr>\n<\/thead>\n
Bertrand RIVET<\/td>\nFull Professor<\/td>\nGrenoble Alpes University<\/td>\nRapporteur<\/td>\n<\/tr>\n
S\u00e9bastien SCANNELLA<\/td>\nDirector of Research<\/td>\nUniversity of Toulouse<\/td>\nRapporteur<\/td>\n<\/tr>\n
Sylvie GRANON<\/td>\nFull Professor<\/td>\nParis-Saclay University<\/td>\nExaminer<\/td>\n<\/tr>\n
R\u00e9gine LE BOUQUIN-JEANN\u00c8S<\/td>\nFull Professor<\/td>\nUniversity of Rennes<\/td>\nExaminer<\/td>\n<\/tr>\n
Thierry GALLOPIN<\/td>\nSenior Lecturer HDR<\/td>\nParis Sciences & Lettres University<\/td>\nExaminer<\/td>\n<\/tr>\n
Gr\u00e9gory TURBELIN<\/td>\nFull Professor<\/td>\nUniversity of \u00c9vry Paris-Saclay<\/td>\nThesis supervisor<\/td>\n<\/tr>\n
Amine CHELLALI<\/td>\nSenior Lecturer<\/td>\nUniversity of \u00c9vry Paris-Saclay<\/td>\nThesis co-supervisor<\/td>\n<\/tr>\n
Marie-H\u00e9l\u00e8ne FERRER<\/td>\nDoctor and Army Physician<\/td>\nArmed Forces Biomedical Research Institute (IRBA)<\/td>\nThesis co-supervisor<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
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