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Journal Articles Inverse Problems Year : 2023

Numerical resolution of the inverse source problem for EEG using the quasi-reversibility method

Abstract

The paper concerns the numerical resolution of the inverse source problem for electroencephalography (EEG). We propose an approach which is able to take into account some heterogeneity properties (namely a varying electrical conductivity) of the head tissues, in particular of the skull layer. It combines two consecutive steps: (i) a data completion procedure from the scalp to the cortex using the quasi-reversibility (QR) method, (ii) a source estimation method from these cortical transmitted data within the brain (modeled as sphere), developed in the software tool FindSources3D (FS3D). Numerical simulations in the case of the multi-layered spherical head model illustrate both the promising and limiting features of the approach.
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hal-03880526 , version 1 (01-12-2022)
hal-03880526 , version 2 (04-09-2023)

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Marion Darbas, Juliette Leblond, Jean-Paul Marmorat, Pierre-Henri Tournier. Numerical resolution of the inverse source problem for EEG using the quasi-reversibility method. Inverse Problems, 2023, 39 (11), pp.115003. ⟨10.1088/1361-6420/acf9c6⟩. ⟨hal-03880526v2⟩
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