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@ARTICLE{Maggioni:172344,
      author       = {Maggioni, Eleonora and Arrubla, Jorge and Warbrick, Tracy
                      and Dammers, Jürgen and Bianchi, Anna M. and Reni,
                      Gianluigi and Tosetti, Michela and Neuner, Irene and Shah,
                      N. J.},
      title        = {{R}emoval of {P}ulse {A}rtefact from {EEG} {D}ata
                      {R}ecorded in {MR} {E}nvironment at 3{T}. {S}etting of {ICA}
                      {P}arameters for {M}arking {A}rtefactual {C}omponents:
                      {A}pplication to {R}esting-{S}tate {D}ata},
      journal      = {PLoS one},
      volume       = {9},
      number       = {11},
      issn         = {1932-6203},
      address      = {Lawrence, Kan.},
      publisher    = {PLoS},
      reportid     = {FZJ-2014-05824},
      pages        = {e112147},
      year         = {2014},
      abstract     = {Simultaneous 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.},
      cin          = {INM-4 / JARA-BRAIN},
      ddc          = {500},
      cid          = {I:(DE-Juel1)INM-4-20090406 / $I:(DE-82)080010_20140620$},
      pnm          = {332 - Imaging the Living Brain (POF2-332) / 89573 -
                      Neuroimaging (POF2-89573)},
      pid          = {G:(DE-HGF)POF2-332 / G:(DE-HGF)POF2-89573},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000344816700034},
      pubmed       = {pmid:25383625},
      doi          = {10.1371/journal.pone.0112147},
      url          = {https://juser.fz-juelich.de/record/172344},
}