Trends in EEG source localization

被引:133
|
作者
Koles, ZJ [1 ]
机构
[1] Univ Alberta, Dept Biomed Engn, Edmonton, AB, Canada
来源
关键词
current dipole; electroencephalography; head models; minimum norm; source localization; spatiotemporal modeling; the equivalent dipole;
D O I
10.1016/S0013-4694(97)00115-6
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The concepts underlying the quantitative localization of the sources of the EEG inside the brain are reviewed along with the current and emerging approaches to the problem. The concepts mentioned include monopolar and dipolar source models and head models ranging from the spherical to the more realistic based on boundary and finite elements. The forward and inverse problems in electroencephalography are discussed, including the non-uniqueness of the inverse problem. The approaches to the solution of the inverse problem described include single and multiple time-slice localization, equivalent dipole localization and the weighted minimum norm. The multiple time-slice localization approach is highlighted as probably the best available at this time and is discussed in terms of the spatiotemporal model of the EEG. The effect of noise corruption, artifacts and the number of recording electrodes on the accuracy of source localization is also mentioned. It is suggested that the main appeal of the minimum norm is that it does not assume a model for the sources and provides an estimate of the current density everywhere in the three dimensional volume of the head. (C) 1998 Elsevier Science Ireland Ltd.
引用
收藏
页码:127 / 137
页数:11
相关论文
共 50 条
  • [41] Effects of Forward Model Errors on EEG Source Localization
    Zeynep Akalin Acar
    Scott Makeig
    Brain Topography, 2013, 26 : 378 - 396
  • [42] EEG source localization using independent residual analysis
    Tan, G
    Zhang, LQ
    ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 2, 2004, 3174 : 442 - 447
  • [43] EEG Signals based Brain Source Localization Approaches
    Gaho, Anwar Ali
    Musavi, Sayed Hyder Abbas
    Jatoi, Munsif Ali
    Shafiq, Muhammad
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2018, 9 (09) : 253 - 261
  • [44] EEG source localization constrained by time varying fMRI
    Thinh Nguyen
    Potter, Tom
    Karmonik, Christof
    Grossman, Robert
    Zhang, Yingchun
    2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2015, : 630 - 633
  • [45] Comparison of distributed source localization methods for EEG data
    Seeland, A.
    Straube, S.
    Kirchner, F.
    PERCEPTION, 2013, 42 : 220 - 220
  • [46] Head Harmonics Based EEG Dipole Source Localization
    Giri, Amita
    Kumar, Lalan
    Gandhi, Tapan
    CONFERENCE RECORD OF THE 2019 FIFTY-THIRD ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, 2019, : 2149 - 2153
  • [47] Recursive MUSIC: A framework for EEG and MEG source localization
    Mosher, JC
    Leahy, RM
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1998, 45 (11) : 1342 - 1354
  • [48] MSP Based Source Localization Using EEG Signals
    Jatoi, Munsif Ali
    Kamel, Nidal
    David Lopez, Jose
    Faye, Ibrahima
    Malik, Aamir Saeed
    2016 6TH INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEMS (ICIAS), 2016,
  • [49] Influence of isotropic skull models on EEG source localization
    Montes-Restrepo, Victoria
    van Mierlo, Pieter
    Lopez, Jose D.
    Hallez, Hans
    Vandenberghe, Stefaan
    2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 3295 - 3298
  • [50] EEG source localization for two dipoles by neural networks
    Yuasa, M
    Zhang, QY
    Nagashino, H
    Kinouchi, Y
    PROCEEDINGS OF THE 20TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 20, PTS 1-6: BIOMEDICAL ENGINEERING TOWARDS THE YEAR 2000 AND BEYOND, 1998, 20 : 2190 - 2192