A finite-element reciprocity solution for EEG forward modeling with realistic individual head models

[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

Additional URL :

http://www.sciencedirect.com/science/article/pii/S1053811914007307

Available on ORBi :

since 09 September 2014

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