Blind Visualization of Task-Related Networks From Visual Oddball Simultaneous EEG-fMRI Data: Spectral or Spatiospectral Model?

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dc.contributor.authorLabounek, Renécs
dc.contributor.authorWu, Zhuolincs
dc.contributor.authorBridwell, Davidcs
dc.contributor.authorBrázdil, Milancs
dc.contributor.authorJan, Jiřícs
dc.contributor.authorNestrašil, Igorcs
dc.coverage.issue1cs
dc.coverage.volume12cs
dc.date.issued2021-04-26cs
dc.description.abstractVarious disease conditions can alter EEG event-related responses and fMRI-BOLD signals. We hypothesized that event-related responses and their clinical alterations are imprinted in the EEG spectral domain as event-related (spatio)spectral patterns (ERSPat). We tested four EEG-fMRI fusion models utilizing EEG power spectra fluctuations (i.e., absolute spectral model - ASM; relative spectral model - RSM; absolute spatiospectral model - ASSM; and relative spatiospectral model - RSSM) for fully automated and blind visualization of task-related neural networks. Two (spatio)spectral patterns (high 4 band and low 1 band) demonstrated significant negative linear relationship (pFWE < 0.05) to the frequent stimulus and three patterns (two low 2 and 3 bands, and narrow 1 band) demonstrated significant positive relationship (p < 0.05) to the target stimulus. These patterns were identified as ERSPats. EEG-fMRI F-map of each 4 model showed strong engagement of insula, cuneus, precuneus, basal ganglia, sensory-motor, motor and dorsal part of fronto-parietal control (FPCN) networks with fast HRF peak and noticeable trough. ASM and RSSM emphasized spatial statistics, and the relative power amplified the relationship to the frequent stimulus. For the 4 model, we detected a reduced HRF peak amplitude and a magnified HRF trough amplitude in the frontal part of the FPCN, default mode network (DMN) and in the frontal white matter. The frequent-related 1 patterns visualized less significant and distinct suprathreshold spatial associations. Each 1 model showed strong involvement of lateralized left-sided sensory-motor and motor networks with simultaneous basal ganglia co-activations and reduced HRF peak and amplified HRF trough in the frontal part of the FPCN and DMN. The ASM 1 model preserved target-related EEG-fMRI associations in the dorsal part of the FPCN. For 4, 1, and 1 bands, all models provided high local F-statistics in expected regions. The most robust EEG-fMRI associations were observed for ASM and RSSM.en
dc.formattextcs
dc.format.extent1-18cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationFrontiers in Neurology. 2021, vol. 12, issue 1, p. 1-18.en
dc.identifier.doi10.3389/fneur.2021.644874cs
dc.identifier.issn1664-2295cs
dc.identifier.orcidH-7316-2018cs
dc.identifier.other171341cs
dc.identifier.urihttp://hdl.handle.net/11012/196580
dc.language.isoencs
dc.publisherFrontierscs
dc.relation.ispartofFrontiers in Neurologycs
dc.relation.urihttps://www.frontiersin.org/articles/10.3389/fneur.2021.644874/fullcs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1664-2295/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectsimultaneous EEG-fMRIen
dc.subjecttask-related network visualizationen
dc.subjectspectral and spatiospectral modelsen
dc.subjectvisual oddball paradigmen
dc.subjectgeneral linear modelen
dc.subjectGLMen
dc.subjectindependent component analysisen
dc.titleBlind Visualization of Task-Related Networks From Visual Oddball Simultaneous EEG-fMRI Data: Spectral or Spatiospectral Model?en
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-171341en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:39:46en
sync.item.modts2025.01.17 16:46:40en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav biomedicínského inženýrstvícs
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