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@ARTICLE{Neuner:862628,
      author       = {Neuner, I. and Rajkumar, R. and Brambilla, C. Regio and
                      Ramkiran, S. and Ruch, A. and Orth, L. and Farrher, E. and
                      Mauler, J. and Wyss, C. and Kops, E. Rota and Scheins, J.
                      and Tellmann, L. and Lang, M. and Ermert, J. and Dammers, J.
                      and Neumaier, B. and Lerche, C. and Heekeren, K. and Kawohl,
                      W. and Langen, K.-J. and Herzog, H. and Shah, N. J.},
      title        = {{S}imultaneous {PET}-{MR}-{EEG}: {T}echnology, {C}hallenges
                      and {A}pplication in {C}linical {N}euroscience},
      journal      = {IEEE transactions on radiation and plasma medical sciences},
      volume       = {3},
      number       = {3},
      issn         = {2469-7303},
      address      = {New York, NY},
      publisher    = {IEEE},
      reportid     = {FZJ-2019-02890},
      pages        = {377 - 385},
      year         = {2019},
      abstract     = {Due to technological developments in positron emission
                      tomography (PET) detectors and PET-MR integration, the
                      simultaneous measurement of PET-MR-EEG has become feasible,
                      offering the possibility of exploring the complementary
                      information provided by each modality. Studies have already
                      shown the benefits of simultaneous measurement using PET-MR,
                      however, such achievements come with different technical and
                      practical challenges. In this context, we aim to give an
                      overview of the technical challenges involved in integrating
                      electroencephalography with hybrid PET-MR scanners and
                      demonstrate possible solutions. When acquiring simultaneous
                      data from multiple modalities, the data acquisition protocol
                      should be optimized in order to utilize time and
                      complementary information most effectively. Thus, practical
                      considerations with regard to protocol optimization are also
                      discussed, alongside relevant examples. In addition to
                      simultaneous data acquisition, another major challenge is
                      the integration of the multimodal data, which is also
                      addressed. Finally, a clinical application with a strong
                      focus on neuro-psychiatry is shown. This clinical
                      application is discussed with relevant examples from an
                      ongoing clinical study. Finally, the possibility of
                      utilizing the PET-MR-EEG data in search for new biomarkers
                      for individualized medicine in clinical neuroscience is
                      briefly explored.},
      cin          = {INM-11 / INM-4 / JARA-BRAIN / INM-5},
      ddc          = {624},
      cid          = {I:(DE-Juel1)INM-11-20170113 / I:(DE-Juel1)INM-4-20090406 /
                      $I:(DE-82)080010_20140620$ / I:(DE-Juel1)INM-5-20090406},
      pnm          = {573 - Neuroimaging (POF3-573)},
      pid          = {G:(DE-HGF)POF3-573},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000467062000015},
      doi          = {10.1109/TRPMS.2018.2886525},
      url          = {https://juser.fz-juelich.de/record/862628},
}