Advances in Electrical Source Imaging: A Review of the Current Approaches, Applications and Challenges
Brain source localization has been consistently implemented over the recent years to elucidate complex brain operations, pairing the high temporal resolution of the EEG with the high spatial estimation of the estimated sources. This review paper aims to present the basic principles of Electrical sou...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Signals |
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| Online Access: | https://www.mdpi.com/2624-6120/2/3/24 |
| _version_ | 1797528943422603264 |
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| author | Ioannis Zorzos Ioannis Kakkos Errikos M. Ventouras George K. Matsopoulos |
| author_facet | Ioannis Zorzos Ioannis Kakkos Errikos M. Ventouras George K. Matsopoulos |
| author_sort | Ioannis Zorzos |
| collection | DOAJ |
| description | Brain source localization has been consistently implemented over the recent years to elucidate complex brain operations, pairing the high temporal resolution of the EEG with the high spatial estimation of the estimated sources. This review paper aims to present the basic principles of Electrical source imaging (ESI) in the context of the recent progress for solving the forward and the inverse problems, and highlight the advantages and limitations of the different approaches. As such, a synthesis of the current state-of-the-art methodological aspects is provided, offering a complete overview of the present advances with regard to the ESI solutions. Moreover, the new dimensions for the analysis of the brain processes are indicated in terms of clinical and cognitive ESI applications, while the prevailing challenges and limitations are thoroughly discussed, providing insights for future approaches that could help to alleviate methodological and technical shortcomings. |
| first_indexed | 2024-03-10T10:05:34Z |
| format | Article |
| id | doaj.art-65446a80215e495c80fb0741198ca09b |
| institution | Directory Open Access Journal |
| issn | 2624-6120 |
| language | English |
| last_indexed | 2024-03-10T10:05:34Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Signals |
| spelling | doaj.art-65446a80215e495c80fb0741198ca09b2023-11-22T01:32:18ZengMDPI AGSignals2624-61202021-06-012337839110.3390/signals2030024Advances in Electrical Source Imaging: A Review of the Current Approaches, Applications and ChallengesIoannis Zorzos0Ioannis Kakkos1Errikos M. Ventouras2George K. Matsopoulos3Laboratory of Biomedical Optics & Applied Biophysics, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Street, Zografos, 15780 Athens, GreeceLaboratory of Biomedical Optics & Applied Biophysics, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Street, Zografos, 15780 Athens, GreeceDepartment of Biomedical Engineering, University of West Attica, 17, Ag. Spyridonos Street, Egaleo, 12243 Athens, GreeceLaboratory of Biomedical Optics & Applied Biophysics, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou Street, Zografos, 15780 Athens, GreeceBrain source localization has been consistently implemented over the recent years to elucidate complex brain operations, pairing the high temporal resolution of the EEG with the high spatial estimation of the estimated sources. This review paper aims to present the basic principles of Electrical source imaging (ESI) in the context of the recent progress for solving the forward and the inverse problems, and highlight the advantages and limitations of the different approaches. As such, a synthesis of the current state-of-the-art methodological aspects is provided, offering a complete overview of the present advances with regard to the ESI solutions. Moreover, the new dimensions for the analysis of the brain processes are indicated in terms of clinical and cognitive ESI applications, while the prevailing challenges and limitations are thoroughly discussed, providing insights for future approaches that could help to alleviate methodological and technical shortcomings.https://www.mdpi.com/2624-6120/2/3/24EEGsource imagingsource localizationapplicationschallenges |
| spellingShingle | Ioannis Zorzos Ioannis Kakkos Errikos M. Ventouras George K. Matsopoulos Advances in Electrical Source Imaging: A Review of the Current Approaches, Applications and Challenges Signals EEG source imaging source localization applications challenges |
| title | Advances in Electrical Source Imaging: A Review of the Current Approaches, Applications and Challenges |
| title_full | Advances in Electrical Source Imaging: A Review of the Current Approaches, Applications and Challenges |
| title_fullStr | Advances in Electrical Source Imaging: A Review of the Current Approaches, Applications and Challenges |
| title_full_unstemmed | Advances in Electrical Source Imaging: A Review of the Current Approaches, Applications and Challenges |
| title_short | Advances in Electrical Source Imaging: A Review of the Current Approaches, Applications and Challenges |
| title_sort | advances in electrical source imaging a review of the current approaches applications and challenges |
| topic | EEG source imaging source localization applications challenges |
| url | https://www.mdpi.com/2624-6120/2/3/24 |
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