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@ARTICLE{Rosjat:1024170,
      author       = {Rosjat, Nils and Hommelsen, Maximilian and Fink, Gereon R.
                      and Daun, Silvia},
      title        = {{P}revious motor task performance impacts phase-based {EEG}
                      resting-state connectivity states},
      journal      = {Imaging neuroscience},
      volume       = {2},
      issn         = {2837-6056},
      address      = {Cambridge, MA},
      publisher    = {MIT Press},
      reportid     = {FZJ-2024-02001},
      pages        = {1 - 16},
      year         = {2024},
      abstract     = {The resting human brain cycles through distinct states that
                      can be analyzed using microstate analysis and
                      electroencephalography(EEG) data. This approach classifies
                      multichannel EEG data into spontaneously interchanging
                      microstatesbased on topographic features. These microstates
                      may be valuable biomarkers in neurodegenerative
                      diseasessince they reflect the resting brain’s state.
                      However, microstates do not provide information about the
                      active neuralnetworks during the resting state. This article
                      presents an alternative and complementary method for
                      analyzingresting-stateEEG data and demonstrates its
                      reproducibility and reliability. This method considers
                      cerebral connectivitystates defined by phase synchronization
                      and measured using the corrected imaginary
                      phase-lockingvalue (ciPLV)based on source-reconstructedEEG
                      recordings. We analyzed resting-stateEEG data from young,
                      healthy participantsacquired on five consecutive days before
                      and after a motor task. We show that our data reproduce
                      microstatespreviously reported. Further, we reveal four
                      stable topographic patterns over the multiple recording
                      sessions in thesource connectivity space. While the
                      classical microstates were unaffected by a preceding motor
                      task, the connectivitystates were altered, reflecting the
                      suppression of frontal activity in the post-movementresting
                      state.},
      cin          = {INM-3},
      ddc          = {050},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {5252 - Brain Dysfunction and Plasticity (POF4-525) / DFG
                      project 431549029 - SFB 1451: Schlüsselmechanismen normaler
                      und krankheitsbedingt gestörter motorischer Kontrolle
                      (431549029)},
      pid          = {G:(DE-HGF)POF4-5252 / G:(GEPRIS)431549029},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {40800449},
      UT           = {WOS:001531547100008},
      doi          = {10.1162/imag_a_00109},
      url          = {https://juser.fz-juelich.de/record/1024170},
}