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The importance of ocular artifact removal in single-trial ERP analysis : the case of the N250 in face learning
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The importance of ocular artifact removal in single-trial ERP analysis : the case of the N250 in face learning
Bibliographic description
| title: | The importance of ocular artifact removal in single-trial ERP analysis : the case of the N250 in face learning |
| author: | Kotowski Krzysztof, Ochab Jeremi  , Stapor Katarzyna, Sommer Werner |
| journal title: | Biomedical Signal Processing and Control |
| volume: | 79 |
| issue: | Part 1 |
| date of publication : | 2023 |
| article ID: | 104115 |
| ISSN: |
1746-8094 |
| eISSN: |
1746-8108 |
| DOI: | |
| language: | English |
| journal language: | English |
| abstract in English: | Objective: Single-trial event-related potentials (ERPs) offer fine-grained information about the trajectories of the neurocognitive processes but are highly sensitive to any artifacts in the EEG signal. The primary aim of this study was to assess the impact of ocular artifact removal on the single-trial N250 ERP analysis of face learning in individual participants. Methods: We present a detailed description of our research-grade EEG hardware setup and a highly reproducible code (https://osf.io/aqhmn/) for generating time series of single-trial N250 ERP amplitudes and precise identification of a changepoint between face memory trace acquisition and maintenance. Ocular artifacts were removed using a new semi-automatic approach with only one hyperparameter based on the correlation between EEG components from independent component analysis (ICA) and the EOG signal. Results: Results from the simulation study showed that our ocular artifact filtration decreased the average RMSE by half and achieved the highest increase of SNR among all the compared methods. It decreased standard deviations and improved the fit of the broken-line regression models for all participants by 25% ± 17% (min. 2%, max. 63%). Conclusions and significance: Ocular artifact filtration had a substantial positive impact on the regression modeling of single-trial ERP amplitudes. Lack of ocular artifact removal can drastically distort the conclusions about the face learning process from single-trial N250 ERP experiments for individual participants. The changepoint locations changed for 13 out of 15 participants. This is the first published analysis of time series of single-trial N250 ERP amplitudes in face learning. |
| keywords in English: | event-related potentials, single-trial, ocular artifacts, ICA, N250, face learning |
| affiliation: | Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Fizyki Teoretycznej |
| type: | journal article |
| subtype: | academic paper |
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Except where otherwise noted, this item's license is described as Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa
Projekt „Repozytorium otwartego dostępu do dorobku naukowego i dydaktycznego UJ” współfinansowany w ramach poddziałania 2.3.1 „Cyfrowe udostępnianie zasobów nauki” Programu Operacyjnego Polska Cyfrowa z Europejskiego Funduszu Rozwoju Regionalnego i budżetu państwa na podstawie umowy o dofinansowanie nr POPC.02.03.01-00-0030/17-00
