A Comparative Study of Different EEG Reference Choices for Event-Related Potentials Extracted by Independent Component Analysis
In the event-related potential (ERP) of scalp electroencephalography (EEG) studies, the vertex reference (Cz), linked mastoids or ears (LM), and average reference (AVG) are popular reference methods, and the reference electrode standardization technique (REST) is increasingly applied. Because scalp...
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| Format: | Article |
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Frontiers Media S.A.
2019-10-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fnins.2019.01068/full |
| _version_ | 1818502019561816064 |
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| author | Li Dong Li Dong Xiaobo Liu Lingling Zhao Yongxiu Lai Yongxiu Lai Diankun Gong Diankun Gong Tiejun Liu Tiejun Liu Dezhong Yao Dezhong Yao |
| author_facet | Li Dong Li Dong Xiaobo Liu Lingling Zhao Yongxiu Lai Yongxiu Lai Diankun Gong Diankun Gong Tiejun Liu Tiejun Liu Dezhong Yao Dezhong Yao |
| author_sort | Li Dong |
| collection | DOAJ |
| description | In the event-related potential (ERP) of scalp electroencephalography (EEG) studies, the vertex reference (Cz), linked mastoids or ears (LM), and average reference (AVG) are popular reference methods, and the reference electrode standardization technique (REST) is increasingly applied. Because scalp EEG recordings are considered as spatially degraded signals, independent component analysis (ICA) is a widely used data-driven method for obtaining ERPs by decomposing EEG data. However, the accurate estimation of the differences in ERP components extracted by ICA with different references remains unclear. In this study, we first provided formal descriptions of the above reference methods (Cz, LM, AVG, and REST) and ICA decomposition in ERP and then investigated the influences of different reference techniques on simulation and real EEG datasets. The results revealed that (1) the reference method did not change the peak amplitudes and latencies of relative ERPs corresponding to some IC time courses; (2) there were non-negligible effects of different reference methods on both temporal ERPs and spatial topographies of some ICs; and (3) compared to Cz, LM, and AR, considering both the performances of temporal ERPs and spatial topographies, the REST reference had overall superiority. These findings provide a recommended choice of REST for ICA analysis at the trial level and contribute to empirical investigations regarding the use of reference methods in ERP domains with ICA analysis. |
| first_indexed | 2024-12-10T21:04:12Z |
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| id | doaj.art-f4c825b7e76b41f2bc6a011f7e1168c3 |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-12-10T21:04:12Z |
| publishDate | 2019-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-f4c825b7e76b41f2bc6a011f7e1168c32022-12-22T01:33:41ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2019-10-011310.3389/fnins.2019.01068479625A Comparative Study of Different EEG Reference Choices for Event-Related Potentials Extracted by Independent Component AnalysisLi Dong0Li Dong1Xiaobo Liu2Lingling Zhao3Yongxiu Lai4Yongxiu Lai5Diankun Gong6Diankun Gong7Tiejun Liu8Tiejun Liu9Dezhong Yao10Dezhong Yao11MOE Key Laboratory for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, ChinaMOE Key Laboratory for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, ChinaMOE Key Laboratory for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, ChinaMOE Key Laboratory for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, ChinaMOE Key Laboratory for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, ChinaIn the event-related potential (ERP) of scalp electroencephalography (EEG) studies, the vertex reference (Cz), linked mastoids or ears (LM), and average reference (AVG) are popular reference methods, and the reference electrode standardization technique (REST) is increasingly applied. Because scalp EEG recordings are considered as spatially degraded signals, independent component analysis (ICA) is a widely used data-driven method for obtaining ERPs by decomposing EEG data. However, the accurate estimation of the differences in ERP components extracted by ICA with different references remains unclear. In this study, we first provided formal descriptions of the above reference methods (Cz, LM, AVG, and REST) and ICA decomposition in ERP and then investigated the influences of different reference techniques on simulation and real EEG datasets. The results revealed that (1) the reference method did not change the peak amplitudes and latencies of relative ERPs corresponding to some IC time courses; (2) there were non-negligible effects of different reference methods on both temporal ERPs and spatial topographies of some ICs; and (3) compared to Cz, LM, and AR, considering both the performances of temporal ERPs and spatial topographies, the REST reference had overall superiority. These findings provide a recommended choice of REST for ICA analysis at the trial level and contribute to empirical investigations regarding the use of reference methods in ERP domains with ICA analysis.https://www.frontiersin.org/article/10.3389/fnins.2019.01068/fullEEGevent-related potential (ERP)independent component analysis (ICA)reference choicesREST reference |
| spellingShingle | Li Dong Li Dong Xiaobo Liu Lingling Zhao Yongxiu Lai Yongxiu Lai Diankun Gong Diankun Gong Tiejun Liu Tiejun Liu Dezhong Yao Dezhong Yao A Comparative Study of Different EEG Reference Choices for Event-Related Potentials Extracted by Independent Component Analysis Frontiers in Neuroscience EEG event-related potential (ERP) independent component analysis (ICA) reference choices REST reference |
| title | A Comparative Study of Different EEG Reference Choices for Event-Related Potentials Extracted by Independent Component Analysis |
| title_full | A Comparative Study of Different EEG Reference Choices for Event-Related Potentials Extracted by Independent Component Analysis |
| title_fullStr | A Comparative Study of Different EEG Reference Choices for Event-Related Potentials Extracted by Independent Component Analysis |
| title_full_unstemmed | A Comparative Study of Different EEG Reference Choices for Event-Related Potentials Extracted by Independent Component Analysis |
| title_short | A Comparative Study of Different EEG Reference Choices for Event-Related Potentials Extracted by Independent Component Analysis |
| title_sort | comparative study of different eeg reference choices for event related potentials extracted by independent component analysis |
| topic | EEG event-related potential (ERP) independent component analysis (ICA) reference choices REST reference |
| url | https://www.frontiersin.org/article/10.3389/fnins.2019.01068/full |
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