Anatomically constrained dipole adjustment (ANACONDA) for accurate MEG/EEG focal source localizations
- 1. Department of Biomedical Engineering, University of Minnesota, 7-105 BSBE, 312 Church Street SE, Minneapolis, MN 55455 (United States)
- 2. School of Electrical Engineering and Computer Science, Seoul National University, Shillim-dong, Kwanak-gu, Seoul 151744 (Korea, Republic of)
- 3. Brain Information Group, National Institute of Information and Communications Technology (NICT), 588-2, Iwaoka, Iwaoka-cho, Nishi-ku, Kobe, Hyougo 651-2492 (Japan)
Description
This paper proposes an alternative approach to enhance localization accuracy of MEG and EEG focal sources. The proposed approach assumes anatomically constrained spatio-temporal dipoles, initial positions of which are estimated from local peak positions of distributed sources obtained from a pre-execution of distributed source reconstruction. The positions of the dipoles are then adjusted on the cortical surface using a novel updating scheme named cortical surface scanning. The proposed approach has many advantages over the conventional ones: (1) as the cortical surface scanning algorithm uses spatio-temporal dipoles, it is robust with respect to noise; (2) it requires no a priori information on the numbers and initial locations of the activations; (3) as the locations of dipoles are restricted only on a tessellated cortical surface, it is physiologically more plausible than the conventional ECD model. To verify the proposed approach, it was applied to several realistic MEG/EEG simulations and practical experiments. From the several case studies, it is concluded that the anatomically constrained dipole adjustment (ANACONDA) approach will be a very promising technique to enhance accuracy of focal source localization which is essential in many clinical and neurological applications of MEG and EEG
Availability note (English)
Available online at http://stacks.iop.org/0031-9155/50/4931/pmb5_20_012.pdf or at the Web site for the journal Physics in Medicine and Biology (ISSN 1361-6560) http://www.iop.org/Additional details
Identifiers
- URL
- http://stacks.iop.org/0031-9155/50/4931/pmb5_20_012.pdf;
- DOI
- 10.1088/0031-9155/50/20/012;
- PII
- S0031-9155(05)99777-7;
Publishing Information
- Journal Title
- Physics in Medicine and Biology
- Journal Volume
- 50
- Journal Issue
- 20
- Journal Page Range
- p. 4931-4953
- ISSN
- 0031-9155
- CODEN
- PHMBA7
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 37048665
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ACCURACY; ALGORITHMS; ANATOMY; COMPUTERIZED SIMULATION; DIPOLES; ELECTROENCEPHALOGRAPHY; NOISE
- Descriptors DEC
- BIOLOGY; DIAGNOSTIC TECHNIQUES; MATHEMATICAL LOGIC; MULTIPOLES; SIMULATION