Journal article
Modeling brain electrical activity by an image-based boundary element method
Engineering analysis with boundary elements, Vol.34(11), pp.995-1002
2010
Handle:
https://hdl.handle.net/2376/114946
Abstract
Electroencephalography (EEG) source localization of brain activity is of high diagnostic value. This work aims to improve the low-spatial-resolution scalp EEG measurement through noninvasive numerical procedures. An image-based boundary element method (BEM) is developed to reconstruct cortical brain potential distribution from the scalp input. The developed BEM circumvents a practical challenge of linking scan images to model-based computation by translating the scan surface tessellation directly into mesh discretization for the BEM. Related issues, such as the numerical regularization of the ill-posed inverse problem, which are crucial to achieving reliable solutions, are discussed. The numerical studies show that the developed BEM can effectively handle the potential reconstruction on a detailed brain surface from blurry scalp potential input, and may become a promising tool to aid clinical diagnosis of brain-related problems.
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Details
- Title
- Modeling brain electrical activity by an image-based boundary element method
- Creators
- X.L ChenH ZhangM Wu
- Publication Details
- Engineering analysis with boundary elements, Vol.34(11), pp.995-1002
- Academic Unit
- Engineering and Computer Science (VANC), School of
- Publisher
- Elsevier Ltd
- Identifiers
- 99900547572901842
- Language
- English
- Resource Type
- Journal article