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A standardized boundary element method volume conductor model
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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
Research works printed but not linked: 22
- van Burik, 2000, Estimation of the electric conductivity from scalp measurements: feasibility and application to source localization, Clin Neurophysiol, 111, 1514, 10.1016/S1388-2457(00)00350-3 · doi:10.1016/s1388-2457(00)00350-3
- Cuffin, 1990, Effects of head shape on EEGs and MEGs, IEEE Trans Biomed Eng, 37, 44, 10.1109/10.43614 · DOI
- Ferguson, 1994, A complete linear discretization for calculating the magnetic field using the boundary element method, IEEE Trans Biomed Eng, 41, 455, 10.1109/10.293220 · DOI
- Ferguson, 1997, Factors affecting the accuracy of the boundary element method in the forward problem I: calculating surface potentials, IEEE Trans Biomed Eng, 44, 1139, 10.1109/10.641342 · DOI
- Fletcher, 1995, Improved method for computation of potentials in a realistic head shape model, IEEE Trans Biomed Eng, 42, 1094, 10.1109/10.469376 · DOI
- Frijns, 2000, Improving the accuracy of the boundary element method by the use of second-order interpolation functions, IEEE Trans Biomed Eng, 47, 1336, 10.1109/10.871407 · DOI
- Fuchs, 1998, An improved boundary element method for realistic volume-conductor modeling, IEEE Trans Biomed Eng, 45, 980, 10.1109/10.704867 · DOI · Paper page
- Fuchs, 2001, Boundary element method volume conductor models for EEG source reconstruction, Clin. Neurophysiology, 112, 1400, 10.1016/S1388-2457(01)00589-2 · DOI
- Geddes, 1963, The specific resistance of biological material, a compendium of data for the biomedical engineer and physiologist, Med Biol Eng, 5, 271, 10.1007/BF02474537 · DOI · Paper page
- Geselowitz, 1967, On bioelectric potentials in an inhomogeneous volume conductor, Biophys J, 7, 1, 10.1016/S0006-3495(67)86571-8 · DOI · Paper page
- Law, 1993, Thickness and resistivity variations over the upper surface of the human skull, Brain Topogr, 6, 99, 10.1007/BF01191074 · DOI · Paper page
- Meijs, 1989, On the numerical accuracy of the boundary element method, IEEE Trans Biomed Eng, 36, 1038, 10.1109/10.40805 · DOI · Paper page
- de Munck, 1992, A linear discretization of the volume conductor boundary integral equation using analytically integrated elements, IEEE Trans Biomed Eng, 39, 986, 10.1109/10.256433 · DOI
- Musha, 1999, Forward and inverse problems of EEG dipole localization, Crit Rev Biomed Eng, 27, 189
- Nelder, 1965, A simplex method for function minimization, Comput J, 7, 308, 10.1093/comjnl/7.4.308 · DOI · Paper page
- Oostendorp, 1989, Source parameter estimation in inhomogeneous volume conductors of arbitrary shape, IEEE Trans Biomed Eng, 36, 382, 10.1109/10.19859 · DOI
- van Oosterom, 1983, The solid angle of a plane triangle, IEEE Trans Biomed Eng, 30, 125, 10.1109/TBME.1983.325207 · DOI · Paper page
- Sarvas, 1987, Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem, Phys Med Biol, 32, 11, 10.1088/0031-9155/32/1/004 · DOI · Paper page
- Schlitt, 1995, Evaluation of boundary element methods for the EEG forward problem: effect of linear interpolation, IEEE Trans Biomed Eng, 42, 52, 10.1109/10.362919 · DOI
- Wagner, 1997, Automatic generation of BEM and FEM meshes, Neuroimage, 5, 389
- Yvert, 1995, Improved dipole localization using local mesh refinement of realistic head geometries, Electroenceph clin Neurophysiol, 95, 381, 10.1016/0013-4694(95)00120-N · DOI
- Yvert, 2001, Fast realistic modeling in bioelectro-magnetism using lead-field interpolation, Hum Brain Mapp, 14, 48, 10.1002/hbm.1041 · DOI
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Murphy, M., Riedner, B. A., Huber, R., Massimini, M., Ferrarelli, F., & Tononi, G. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0807933106 · Cited by 454
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“Furthermore, it was reported a better source location by eLORETA than sLORETA (Canuet et al., 2011). eLORETA uses a realistic head model (Fuchs et al., 2002) using the MNI152 template (Mazziotta et al., 2001), with a threedimensional solution space restricted to cortical gray matter and electrode…”
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Williams, T. J., Nuechterlein, K. H., Subotnik, K. L., & Yee, C. M. (2011) · Psychophysiology · doi:10.1111/j.1469-8986.2010.01119.x · Cited by 67
Csukly, G., Stefanics, G., Komlósi, S., Czigler, I., & Czobor, P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075444 · Cited by 60
Yeung, M. K., Han, Y. M. Y., Sze, S. L., & Chan, A. S. (2016) · Neuropsychology · doi:10.1037/neu0000231 · Cited by 57
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Pagani, M., Di Lorenzo, G., Monaco, L., Niolu, C., Siracusano, A., Verardo, A. R., Lauretti, G., Fernandez, I., Nicolais, G., Cogolo, P., et al. (2011) · Journal of EMDR Practice and Research · doi:10.1891/1933-3196.5.2.42 · Cited by 34
Wolff, N., Buse, J., Tost, J., Roessner, V., & Beste, C. (2017) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12733 · Cited by 24
Bury, G., García-Huéscar, M., Bhattacharya, J., & Ruiz, M. H. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.04.043 · Cited by 20
De Pascalis, V., Varriale, V., & Cacace, I. (2015) · PLOS ONE · doi:10.1371/journal.pone.0128474 · Cited by 20
Mutschler, J., Abbruzzese, E., von der Goltz, C., Dinter, C., Mobascher, A., Thiele, H., Diaz-Lacava, A., Dahmen, N., Gallinat, J., Majic, T., et al. (2012) · European Addiction Research · doi:10.1159/000338276 · Cited by 17
Self-citation
Metadata
- Authors
- Fuchs, M., Kastner, J., Wagner, M., Hawes, S., & Ebersole, J. S.
- Venue
- Clinical Neurophysiology
- Publisher
- Elsevier BV
- Published
- 2002-05
- Volume
- 113
- Issue
- 5
- Pages
- 702-712
- ISSN
- 1388-2457 (ISSN-L)
- OpenAlex
- W2082371233
- Cited by
- 999
- References
- 1
- FWCI
- 4.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
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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.
