New Strategy for Finite Element Mesh Generation for Accurate Solutions of Electroencephalography Forward Problems-Reference-Cited by-同舟云学术

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New Strategy for Finite Element Mesh Generation for Accurate Solutions of Electroencephalography Forward Problems

Published:2018-08-02 Issue:3 Volume:32 Page:354-362
ISSN:0896-0267
Container-title:Brain Topography
language:en
Short-container-title:Brain Topogr

Author:

Lee Chany,Im Chang-Hwan^ORCID

Funder

Information & communications Technology Promotion

National Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

http://link.springer.com/content/pdf/10.1007/s10548-018-0669-0.pdf

Reference51 articles.

1. Akalin Acar Z, Makeig S (2013) Effects of forward model errors on EEG source localization. Brain Topogr 26:378–396. https://doi.org/10.1007/s10548-012-0274-6

2. Awada KA, Jackson DR, Williams JT et al (1997) Computational aspects of finite element modeling in EEG source localization. IEEE Trans Biomed Eng 44:736–752

3. Aydin Ü, Vorwerk J, Küpper P et al (2014) Combining EEG and MEG for the reconstruction of epileptic activity using a calibrated realistic volume conductor model. PLoS ONE 9:e93154. https://doi.org/10.1371/journal.pone.0093154

4. Aydin Ü, Rampp S, Wollbrink A et al (2017) Zoomed MRI guided by combined EEG/MEG source analysis: a multimodal approach for optimizing presurgical epilepsy work-up and its application in a multi-focal epilepsy patient case study. Brain Topogr 30:417–433. https://doi.org/10.1007/s10548-017-0568-9

5. Baillet S, Mosher JC, Leahy RM (2001) Electromagnetic brain mapping. IEEE Signal Process Mag 18:14–30. https://doi.org/10.1109/79.962275

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