% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Chen:894421,
      author       = {Chen, Xiangliang and Onur, Oezguer A. and Richter, Nils and
                      Fassbender, Ronja and Gramespacher, Hannes and Befahr,
                      Qumars and von Reutern, Boris and Dillen, Kim and Jacobs,
                      Heidi I. L. and Kukolja, Juraj and Fink, Gereon R. and
                      Dronse, Julian},
      title        = {{C}oncordance of {I}ntrinsic {B}rain {C}onnectivity
                      {M}easures {I}s {D}isrupted in {A}lzheimer's {D}isease},
      journal      = {Brain Connectivity},
      volume       = {13},
      number       = {6},
      issn         = {2158-0014},
      address      = {New Rochelle, NY},
      publisher    = {Liebert},
      reportid     = {FZJ-2021-03214},
      pages        = {344-355},
      year         = {2023},
      abstract     = {Background: Recently, a new resting-state functional
                      magnetic resonance imaging (rs-fMRI) measure to evaluate the
                      concordance between different rs-fMRI metrics has been
                      proposed and has not been investigated in Alzheimer's
                      disease (AD). Methods: 3T rs-fMRI data were obtained from
                      healthy young controls (YC, n = 26), healthy senior controls
                      (SC, n = 29), and AD patients (n = 35). The fractional
                      amplitude of low-frequency fluctuations (fALFF), regional
                      homogeneity (ReHo), and degree centrality (DC) were
                      analyzed, followed by the calculation of their concordance
                      using Kendall's W for each brain voxel across time. Group
                      differences in the concordance were compared globally,
                      within seven intrinsic brain networks, and on a
                      voxel-by-voxel basis with covariates of age, sex, head
                      motion, and gray matter volume. Results: The global
                      concordance was lowest in AD among the three groups, with
                      similar differences for the single metrics. When comparing
                      AD to SC, reductions of concordance were detected in each of
                      the investigated networks apart from the limbic network. For
                      SC in comparison to YC, lower global concordance without any
                      network-level difference was observed. Voxel-wise analyses
                      revealed lower concordance in the right middle temporal
                      gyrus in AD compared to SC and lower concordance in the left
                      middle frontal gyrus in SC compared to YC. Lower fALFF were
                      observed in the right angular gyrus in AD in comparison to
                      SC, but ReHo and DC showed no group differences.
                      Conclusions: The concordance of resting-state measures
                      differentiates AD from healthy aging and may represent a
                      novel imaging marker in AD. Impact statement The usefulness
                      of a new resting-state functional magnetic resonance imaging
                      (rs-fMRI) measure to assess the concordance between
                      different rs-fMRI metrics has been demonstrated in mental
                      disorders such as depression and schizophrenia. Our study,
                      to the best of our knowledge, is the first to confirm a
                      decreased concordance in Alzheimer's disease (AD) patients
                      compared to healthy young and senior individuals on global,
                      network, and voxel-wise levels, which moreover seems to be
                      sensitive in differentiating age-related from AD-related
                      functional brain changes. Our findings suggest that the
                      concordance of rs-fMRI metrics may be useful as a candidate
                      biomarker for neurodegenerative disorders such as AD.},
      cin          = {INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {5252 - Brain Dysfunction and Plasticity (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5252},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {34269605},
      UT           = {WOS:001044467000004},
      doi          = {10.1089/brain.2020.0918},
      url          = {https://juser.fz-juelich.de/record/894421},
}