NEMAIRE, Masimba; ASENSIO, Paul; BADIER, Jean-Michel; LEBLOND, Juliette; MARMORAT, Jean-Paul

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NEMAIRE, Masimba
Institut de Mathématiques de Bordeaux [IMB]
Analyse fonctionnelle pour la conception et l'analyse de systèmes [FACTAS]

ASENSIO, Paul
Analyse fonctionnelle pour la conception et l'analyse de systèmes [FACTAS]

BADIER, Jean-Michel
Institut de Neurosciences des Systèmes [INS]
Aix Marseille Université [AMU]

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Communication dans un congrès

Este ítem está publicado en

Waves2022, 2022-07-25, Palaiseau.

Resumen en inglés

We study the inverse problems of source recovery and cortical mapping for sEEG, EEG and MEG under the quasi-static approximation of Maxwell's equations. These problems are known to be ill-posed due to the existence of silent source, i.e, those non-zero sources that generate null field. In addition the collected data are corrupted with noise that has to be corrected for, hence regularised Tikhonov problems will be solved. We make use of single and double layer potentials to express the electromagnetic (EM) fields associated with a source which allows to simultaneously solve the source recovery and cortical mapping problems for a particular modality or coupled data. The expression of the electromagnetic fields we use make the different couplings of sEEG, EEG and MEG data direct and complementary. Numerical results of experiments performed using meshes of realistic head geometries will be presented.< Leer menos

Palabras clave en inglés

ElectroEncephaloGraphy (EEG) stereo-ElectroEncephaloGraphy (sEEG) Mag-netoEncephaloGraphy (MEG) inverse problems brain imaging cortical mapping

ElectroEncephaloGraphy (EEG)

stereo-ElectroEncephaloGraphy (sEEG)

Mag-netoEncephaloGraphy (MEG)

inverse problems

brain imaging

cortical mapping

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A layer potential approach to functional and clinical brain imaging

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Centros de investigación