[en] When carrying out an EEG experiment for source reconstruction, one has
to provide both accurate geometry and electrical properties of the head
tissues. Authors usually set the electrical conductivities based on values
reported in the literature which have been shown to vary widely.
Here we propose a method to assess the sensitivity of the EEG forward
problem to those parameters using a realistic finite element (FEM) head
model including white matter anisotropic tensor. The chosen sensitivity
descriptor are the first and total order Sobol indices.
Research center :
GIGA CRC (Cyclotron Research Center) In vivo Imaging-Aging & Memory - ULiège
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Grignard, Martin ; Université de Liège - ULiège > CRC In vivo Im.-Neuroimaging, data acquisition & processing
Geuzaine, Christophe ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Applied and Computational Electromagnetics (ACE)
Phillips, Christophe ; Université de Liège - ULiège > CRC In vivo Im.-Neuroimaging, data acquisition & processing
Language :
English
Title :
Global sensitivity analysis of the EEG forward problem
Alternative titles :
[fr] Analyse de la sensibilité globale du problème direct en EGG
Publication date :
24 June 2020
Number of pages :
94x140cm
Event name :
OHBM 2020
Event organizer :
OHBM
Event place :
Montréal, Canada
Event date :
du 23 juin 2020 au 4 juillet 2020
Audience :
International
Peer reviewed :
Peer reviewed
Tags :
CÉCI : Consortium des Équipements de Calcul Intensif