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dc.contributor.authorReni, Gianluigi
dc.contributor.authorShah, N. Jon
dc.contributor.authorBianchi, Anna M.
dc.contributor.authorTosetti, Michela
dc.contributor.authorNeuner, Irene
dc.contributor.authorMaggioni, Eleonora
dc.contributor.authorArrubla, Jorge
dc.contributor.authorWarbrick, Tracy
dc.contributor.authorDammers, Juergen
dc.date.accessioned2022-02-18T10:57:32Z
dc.date.available2022-02-18T10:57:32Z
dc.date.issued2014
dc.identifier.citationMaggioni E., Arrubla J., Warbrick T., Dammers J., Bianchi A. M. , Reni G., Tosetti M., Neuner I., Shah N. J. , "Removal of Pulse Artefact from EEG Data Recorded in MR Environment at 3T. Setting of ICA Parameters for Marking Artefactual Components: Application to Resting-State Data", PLOS ONE, cilt.9, sa.11, 2014
dc.identifier.issn1932-6203
dc.identifier.othervv_1032021
dc.identifier.otherav_cac4d6e4-6e1a-4ab8-8d6e-1a239507c779
dc.identifier.urihttp://hdl.handle.net/20.500.12627/180235
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0112147
dc.description.abstractSimultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) allow for a non-invasive investigation of cerebral functions with high temporal and spatial resolution. The main challenge of such integration is the removal of the pulse artefact (PA) that affects EEG signals recorded in the magnetic resonance (MR) scanner. Often applied techniques for this purpose are Optimal Basis Set (OBS) and Independent Component Analysis (ICA). The combination of OBS and ICA is increasingly used, since it can potentially improve the correction performed by each technique separately. The present study is focused on the OBS-ICA combination and is aimed at providing the optimal ICA parameters for PA correction in resting-state EEG data, where the information of interest is not specified in latency and amplitude as in, for example, evoked potential. A comparison between two intervals for ICA calculation and four methods for marking artefactual components was performed. The performance of the methods was discussed in terms of their capability to 1) remove the artefact and 2) preserve the information of interest. The analysis included 12 subjects and two resting-state datasets for each of them. The results showed that none of the signal lengths for the ICA calculation was highly preferable to the other. Among the methods for the identification of PA-related components, the one based on the wavelets transform of each component emerged as the best compromise between the effectiveness in removing PA and the conservation of the physiological neuronal content.
dc.language.isoeng
dc.subjectTemel Bilimler (SCI)
dc.subjectÇOK DİSİPLİNLİ BİLİMLER
dc.subjectMultidisciplinary
dc.subjectTemel Bilimler
dc.subjectDoğa Bilimleri Genel
dc.titleRemoval of Pulse Artefact from EEG Data Recorded in MR Environment at 3T. Setting of ICA Parameters for Marking Artefactual Components: Application to Resting-State Data
dc.typeMakale
dc.relation.journalPLOS ONE
dc.contributor.departmentForschungszentrum Julich , ,
dc.identifier.volume9
dc.identifier.issue11
dc.contributor.firstauthorID3382528


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