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@ARTICLE{Rajkumar:863071,
      author       = {Rajkumar, Ravichandran and Farrher, Ezequiel and Mauler,
                      Jörg and Sripad, Praveen and Régio Brambilla, Cláudia and
                      Rota Kops, Elena and Scheins, Jürgen and Dammers, Jürgen
                      and Lerche, Christoph and Langen, Karl-Josef and Herzog,
                      Hans and Biswal, Bharat and Shah, N. J. and Neuner, Irene},
      title        = {{C}omparison of {EEG} microstates with resting state f{MRI}
                      and {FDG}-{PET} measures in the default mode network via
                      simultaneously recorded trimodal ({PET}/{MR}/{EEG}) data},
      journal      = {Human brain mapping},
      volume       = {42},
      number       = {13},
      issn         = {1065-9471},
      address      = {New York, NY},
      publisher    = {Wiley-Liss},
      reportid     = {FZJ-2019-03188},
      pages        = {4122-4133},
      year         = {2021},
      abstract     = {Simultaneous trimodal positron emission tomography/magnetic
                      resonance imaging/electroencephalography (PET/MRI/EEG)
                      resting state (rs) brain data were acquired from 10 healthy
                      male volunteers. The rs-functional MRI (fMRI) metrics, such
                      as regional homogeneity (ReHo), degree centrality (DC) and
                      fractional amplitude of low-frequency fluctuations (fALFFs),
                      as well as 2-[18F]fluoro-2-desoxy-d-glucose (FDG)-PET
                      standardised uptake value (SUV), were calculated and the
                      measures were extracted from the default mode network (DMN)
                      regions of the brain. Similarly, four microstates for each
                      subject, showing the diverse functional states of the whole
                      brain via topographical variations due to global field power
                      (GFP), were estimated from artefact-corrected EEG signals.
                      In this exploratory analysis, the GFP of microstates was
                      nonparametrically compared to rs-fMRI metrics and FDG-PET
                      SUV measured in the DMN of the brain. The rs-fMRI metrics
                      (ReHO, fALFF) and FDG-PET SUV did not show any significant
                      correlations with any of the microstates. The DC metric
                      showed a significant positive correlation with microstate C
                      (rs = 0.73, p = .01). FDG-PET SUVs indicate a trend for a
                      negative correlation with microstates A, B and C. The
                      positive correlation of microstate C with DC metrics
                      suggests a functional relationship between cortical hubs in
                      the frontal and occipital lobes. The results of this study
                      suggest further exploration of this method in a larger
                      sample and in patients with neuropsychiatric disorders. The
                      aim of this exploratory pilot study is to lay the foundation
                      for the development of such multimodal measures to be
                      applied as biomarkers for diagnosis, disease staging,
                      treatment response and monitoring of neuropsychiatric
                      disorders.},
      cin          = {INM-11 / INM-4 / JARA-BRAIN},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-11-20170113 / I:(DE-Juel1)INM-4-20090406 /
                      $I:(DE-82)080010_20140620$},
      pnm          = {573 - Neuroimaging (POF3-573) / 5253 - Neuroimaging
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF3-573 / G:(DE-HGF)POF4-5253},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30367727},
      UT           = {WOS:000683897100005},
      doi          = {10.1002/hbm.24429},
      url          = {https://juser.fz-juelich.de/record/863071},
}