Article (Scientific journals)
A finite-element reciprocity solution for EEG forward modeling with realistic individual head models
Ziegler, Erik; Chellappa, Sarah Laxhmi; Gaggioni, Giulia et al.
2014In NeuroImage, 103, p. 542-551
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Keywords :
Parkinson disease; diffusion weighted MRI; track density
Abstract :
[en] Highlights • Creates EEG forward models suitable for high-resolution source localization. • Automatic T1-based whole-head finite element meshing and leadfield computation. • Pipelines can incorporate conductivity tensors from diffusion-weighted images. • Open-source toolbox shared under a permissive software license. • Accuracy comparable to SimBio FEM and superior to OpenMEEG BEM solutions.
Disciplines :
Human health sciences: Multidisciplinary, general & others
Author, co-author :
Ziegler, Erik ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Chellappa, Sarah Laxhmi ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Gaggioni, Giulia ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Ly, Julien ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Vandewalle, Gilles  ;  Université de Liège - ULiège > Centre de recherches du cyclotron
André, Elodie ;  Université de Liège - ULiège > Centre de recherches du cyclotron
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 > Centre de recherches du cyclotron
 These authors have contributed equally to this work.
Language :
English
Title :
A finite-element reciprocity solution for EEG forward modeling with realistic individual head models
Publication date :
December 2014
Journal title :
NeuroImage
ISSN :
1053-8119
eISSN :
1095-9572
Publisher :
Elsevier Science, Orlando, United States - Florida
Volume :
103
Pages :
542-551
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 09 September 2014

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