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@ARTICLE{Shah:836074,
      author       = {Shah, N. J. and Arrubla, J. and Rajkumar, R. and Farrher,
                      E. and Mauler, J. and Rota Kops, Elena and Tellmann, L. and
                      Scheins, J. and Boers, F. and Dammers, J. and Sripad, P. and
                      Lerche, C. and Langen, K. J. and Herzog, H. and Neuner, I.},
      title        = {{M}ultimodal {F}ingerprints of {R}esting {S}tate {N}etworks
                      as assessed by {S}imultaneous {T}rimodal {MR}-{PET}-{EEG}
                      {I}maging},
      journal      = {Scientific reports},
      volume       = {7},
      number       = {1},
      issn         = {2045-2322},
      address      = {London},
      publisher    = {Nature Publishing Group},
      reportid     = {FZJ-2017-05198},
      pages        = {6452},
      year         = {2017},
      abstract     = {Simultaneous MR-PET-EEG (magnetic resonance imaging -
                      positron emission tomography – electroencephalography), a
                      new tool for the investigation of neuronal networks in the
                      human brain, is presented here for the first time. It
                      enables the assessment of molecular metabolic information
                      with high spatial and temporal resolution in a given brain
                      simultaneously. Here, we characterize the brain’s default
                      mode network (DMN) in healthy male subjects using multimodal
                      fingerprinting by quantifying energy metabolism via 2-
                      [18F]fluoro-2-desoxy-D-glucose PET (FDG-PET), the inhibition
                      – excitation balance of neuronal activation via magnetic
                      resonance spectroscopy (MRS), its functional connectivity
                      via fMRI and its electrophysiological signature via EEG. The
                      trimodal approach reveals a complementary fingerprint.
                      Neuronal activation within the DMN as assessed with fMRI is
                      positively correlated with the mean standard uptake value of
                      FDG. Electrical source localization of EEG signals shows a
                      significant difference between the dorsal DMN and
                      sensorimotor network in the frequency range of δ, θ, α
                      and β–1, but not with β–2 and β–3. In addition to
                      basic neuroscience questions addressing
                      neurovascular-metabolic coupling, this new methodology lays
                      the foundation for individual physiological and pathological
                      fingerprints for a wide research field addressing healthy
                      aging, gender effects, plasticity and different psychiatric
                      and neurological diseases.},
      cin          = {INM-4 / JARA-BRAIN},
      ddc          = {000},
      cid          = {I:(DE-Juel1)INM-4-20090406 / $I:(DE-82)080010_20140620$},
      pnm          = {573 - Neuroimaging (POF3-573)},
      pid          = {G:(DE-HGF)POF3-573},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000406281400017},
      pubmed       = {pmid:28743861},
      doi          = {10.1038/s41598-017-05484-w},
      url          = {https://juser.fz-juelich.de/record/836074},
}