Reconstructing cortical current density by exploring sparseness in the transform domain
Open accessAbstract
In the present study, we have developed a novel electromagnetic source imaging approach to reconstruct extended cortical sources by means of cortical current density (CCD) modeling and a novel EEG imaging algorithm which explores sparseness in cortical source representations through the use of L1-norm in objective functions. The new sparse cortical current density (SCCD) imaging algorithm is unique since it reconstructs cortical sources by attaining sparseness in a transform domain (the variation map of cortical source distributions). While large variations are expected to occur along boundaries (sparseness) between active and inactive cortical regions, cortical sources can be reconstructed and their spatial extents can be estimated by locating these boundaries. We studied the SCCD algorithm using numerous simulations to investigate its capability in reconstructing cortical sources with different extents and in reconstructing multiple cortical sources with different extent contrasts. The SCCD algorithm was compared with two L2-norm solutions, i.e. weighted minimum norm estimate (wMNE) and cortical LORETA. Our simulation data from the comparison study show that the proposed sparse source imaging algorithm is able to accurately and efficiently recover extended cortical sources and is promising to provide high-accuracy estimation of cortical source extents.
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- Authors
- Ding, L.
- Affiliations
- University of Oklahoma (US)
- Corresponding author
- Ding, Lei
- ORCID
- Ding, Lei
- Venue
- Physics in Medicine and Biology
- Publisher
- IOP Publishing
- Published
- 2009-04-08
- Volume
- 54
- Issue
- 9
- Pages
- 2683-2697
- ISSN
- 0031-9155 (ISSN-L)
- 1361-6560
- OpenAlex
- W2071841247
- Cited by
- 99
- References
- 30
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 10 · 2023: 5 · 2022: 5 · 2021: 7 · 2020: 7 · 2019: 3 · 2018: 10 · 2017: 10 · 2016: 7 · 2015: 4 · 2014: 4 · 2013: 7 · 2012: 5
- FWCI
- 2.26
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Physics in Medicine and Biology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Mathematics › Mathematical Physics › Numerical methods in inverse problems
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Keywords
- L1 regularization, EEG source localization
- MeSH terms
- Algorithms, Computer Simulation, Electric Conductivity, Electroencephalography, Electromagnetic Fields, Image Processing, Computer-Assisted, Models, Biological, ROC Curve, Magnetoencephalography
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