The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
An improved boundary element method for realistic volume-conductor modeling
Abstract
An improved boundary element method (BEM) with a virtual triangle refinement using the vertex normals, an optimized auto solid angle approximation, and a weighted isolated problem approach is presented. The performance of this new approach is compared to analytically solvable spherical shell models and highly refined reference BEM models for tangentially and radially oriented dipoles at different eccentricities. The lead fields of several electroencephalography (EEG) and magnetoencephalography (MEG) setups are analyzed by singular-value decompositions for realistically shaped volume-conductor models. Dipole mislocalizations due to simplified volume-conductor models are investigated for EEG and MEG examinations for points on a three dimensional (3-D) grid with 10-mm spacing inside the conductor and all principal dipole orientations. The applicability of the BEM in view of the computational effort is tested with a standard workstation. Finally, an application of the new method to epileptic spike data is studied and the results are compared to the spherical-shells approximation.
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Citations
Cites
Realistic conductivity geometry model of the human head for interpretation of neuromagnetic data
Hamalainen, M. S., & Sarvas, J. (1989) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.16463 · Cited by 989
Cited by
Hopf, J.-M., Boelmans, K., Schoenfeld, M. A., Luck, S. J., & Heinze, H.-J. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.3564-03.2004 · Cited by 209
Multimodal Functional Neuroimaging: Integrating Functional MRI and EEG/MEG
He, B., & Liu, Z. (2008) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2008.2008233 · Cited by 171
Characterizing the Cortical Activity through Which Pain Emerges from Nociception
Lee, M. C., Mouraux, A., & Iannetti, G. D. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0014-09.2009 · Cited by 169
The neural and cognitive time course of theory of mind
McCleery, J. P., Surtees, A. D. R., Graham, K. A., Richards, J. E., & Apperly, I. A. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.1392-11.2011 · Cited by 134
Dynamic imaging of ictal oscillations using non-invasive high-resolution EEG
Yang, L., Wilke, C., Brinkmann, B., Worrell, G. A., & He, B. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.043 · Cited by 93
Spectral and spatial shifts of post-ictal slow waves in temporal lobe seizures
Yang, L., Worrell, G. A., Nelson, C., Brinkmann, B., & He, B. (2012) · Brain · doi:10.1093/brain/aws221 · Cited by 42
Kim, M., Cho, K. I. K., Yoon, Y. B., Lee, T. Y., & Kwon, J. S. (2017) · Clinical Neurophysiology · doi:10.1016/j.clinph.2016.11.027 · Cited by 30
Metadata
- Authors
- Fuchs, M., Drenckhahn, R., Wischmann, H., & Wagner, M.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 1998
- Volume
- 45
- Issue
- 8
- Pages
- 980-997
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2112235175
- Cited by
- 299
- References
- 1
- FWCI
- 8.85
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
