Preservation of EEG spectral power features during simultaneous EEG-fMRI
IntroductionElectroencephalographic (EEG) data quality is severely compromised when recorded inside the magnetic resonance (MR) environment. Here we characterized the impact of the ballistocardiographic (BCG) artifact on resting-state EEG spectral properties and compared the effectiveness of seven c...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-12-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2022.951321/full |
| _version_ | 1797978709971435520 |
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| author | Jonathan Gallego-Rudolf María Corsi-Cabrera María Corsi-Cabrera Luis Concha Josefina Ricardo-Garcell Erick Pasaye-Alcaraz |
| author_facet | Jonathan Gallego-Rudolf María Corsi-Cabrera María Corsi-Cabrera Luis Concha Josefina Ricardo-Garcell Erick Pasaye-Alcaraz |
| author_sort | Jonathan Gallego-Rudolf |
| collection | DOAJ |
| description | IntroductionElectroencephalographic (EEG) data quality is severely compromised when recorded inside the magnetic resonance (MR) environment. Here we characterized the impact of the ballistocardiographic (BCG) artifact on resting-state EEG spectral properties and compared the effectiveness of seven common BCG correction methods to preserve EEG spectral features. We also assessed if these methods retained posterior alpha power reactivity to an eyes closure-opening (EC-EO) task and compared the results from EEG-informed fMRI analysis using different BCG correction approaches.MethodElectroencephalographic data from 20 healthy young adults were recorded outside the MR environment and during simultaneous fMRI acquisition. The gradient artifact was effectively removed from EEG-fMRI acquisitions using Average Artifact Subtraction (AAS). The BCG artifact was corrected with seven methods: AAS, Optimal Basis Set (OBS), Independent Component Analysis (ICA), OBS followed by ICA, AAS followed by ICA, PROJIC-AAS and PROJIC-OBS. EEG signal preservation was assessed by comparing the spectral power of traditional frequency bands from the corrected rs-EEG-fMRI data with the data recorded outside the scanner. We then assessed the preservation of posterior alpha functional reactivity by computing the ratio between the EC and EO conditions during the EC-EO task. EEG-informed fMRI analysis of the EC-EO task was performed using alpha power-derived BOLD signal predictors obtained from the EEG signals corrected with different methods.ResultsThe BCG artifact caused significant distortions (increased absolute power, altered relative power) across all frequency bands. Artifact residuals/signal losses were present after applying all correction methods. The EEG reactivity to the EC-EO task was better preserved with ICA-based correction approaches, particularly when using ICA feature extraction to isolate alpha power fluctuations, which allowed to accurately predict hemodynamic signal fluctuations during the EEG-informed fMRI analysis.DiscussionCurrent software solutions for the BCG artifact problem offer limited efficiency to preserve the EEG spectral power properties using this particular EEG setup. The state-of-the-art approaches tested here can be further refined and should be combined with hardware implementations to better preserve EEG signal properties during simultaneous EEG-fMRI. Existing and novel BCG artifact correction methods should be validated by evaluating signal preservation of both ERPs and spontaneous EEG spectral power. |
| first_indexed | 2024-04-11T05:27:19Z |
| format | Article |
| id | doaj.art-9356001f2169426297658f61063f862b |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-04-11T05:27:19Z |
| publishDate | 2022-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-9356001f2169426297658f61063f862b2022-12-23T05:53:48ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2022-12-011610.3389/fnins.2022.951321951321Preservation of EEG spectral power features during simultaneous EEG-fMRIJonathan Gallego-Rudolf0María Corsi-Cabrera1María Corsi-Cabrera2Luis Concha3Josefina Ricardo-Garcell4Erick Pasaye-Alcaraz5Unidad de Resonancia Magnética, Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, MexicoLaboratorio de Sueño, Facultad de Psicología, Universidad Nacional Autónoma de México, Mexico City, MexicoUnidad de Neurodesarrollo, Instituto de Neurobiología, Universidad Nacional Autónoma de México, Santiago de Querétaro, MexicoLaboratorio de Conectividad Cerebral, Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, MexicoUnidad de Neurodesarrollo, Instituto de Neurobiología, Universidad Nacional Autónoma de México, Santiago de Querétaro, MexicoUnidad de Resonancia Magnética, Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, MexicoIntroductionElectroencephalographic (EEG) data quality is severely compromised when recorded inside the magnetic resonance (MR) environment. Here we characterized the impact of the ballistocardiographic (BCG) artifact on resting-state EEG spectral properties and compared the effectiveness of seven common BCG correction methods to preserve EEG spectral features. We also assessed if these methods retained posterior alpha power reactivity to an eyes closure-opening (EC-EO) task and compared the results from EEG-informed fMRI analysis using different BCG correction approaches.MethodElectroencephalographic data from 20 healthy young adults were recorded outside the MR environment and during simultaneous fMRI acquisition. The gradient artifact was effectively removed from EEG-fMRI acquisitions using Average Artifact Subtraction (AAS). The BCG artifact was corrected with seven methods: AAS, Optimal Basis Set (OBS), Independent Component Analysis (ICA), OBS followed by ICA, AAS followed by ICA, PROJIC-AAS and PROJIC-OBS. EEG signal preservation was assessed by comparing the spectral power of traditional frequency bands from the corrected rs-EEG-fMRI data with the data recorded outside the scanner. We then assessed the preservation of posterior alpha functional reactivity by computing the ratio between the EC and EO conditions during the EC-EO task. EEG-informed fMRI analysis of the EC-EO task was performed using alpha power-derived BOLD signal predictors obtained from the EEG signals corrected with different methods.ResultsThe BCG artifact caused significant distortions (increased absolute power, altered relative power) across all frequency bands. Artifact residuals/signal losses were present after applying all correction methods. The EEG reactivity to the EC-EO task was better preserved with ICA-based correction approaches, particularly when using ICA feature extraction to isolate alpha power fluctuations, which allowed to accurately predict hemodynamic signal fluctuations during the EEG-informed fMRI analysis.DiscussionCurrent software solutions for the BCG artifact problem offer limited efficiency to preserve the EEG spectral power properties using this particular EEG setup. The state-of-the-art approaches tested here can be further refined and should be combined with hardware implementations to better preserve EEG signal properties during simultaneous EEG-fMRI. Existing and novel BCG artifact correction methods should be validated by evaluating signal preservation of both ERPs and spontaneous EEG spectral power.https://www.frontiersin.org/articles/10.3389/fnins.2022.951321/fullsimultaneous EEG-fMRIballistocardiographic artifactEEG signal preservationEEG-informed fMRIEEG spectral analysis |
| spellingShingle | Jonathan Gallego-Rudolf María Corsi-Cabrera María Corsi-Cabrera Luis Concha Josefina Ricardo-Garcell Erick Pasaye-Alcaraz Preservation of EEG spectral power features during simultaneous EEG-fMRI Frontiers in Neuroscience simultaneous EEG-fMRI ballistocardiographic artifact EEG signal preservation EEG-informed fMRI EEG spectral analysis |
| title | Preservation of EEG spectral power features during simultaneous EEG-fMRI |
| title_full | Preservation of EEG spectral power features during simultaneous EEG-fMRI |
| title_fullStr | Preservation of EEG spectral power features during simultaneous EEG-fMRI |
| title_full_unstemmed | Preservation of EEG spectral power features during simultaneous EEG-fMRI |
| title_short | Preservation of EEG spectral power features during simultaneous EEG-fMRI |
| title_sort | preservation of eeg spectral power features during simultaneous eeg fmri |
| topic | simultaneous EEG-fMRI ballistocardiographic artifact EEG signal preservation EEG-informed fMRI EEG spectral analysis |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2022.951321/full |
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