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@ARTICLE{Ruppert:904373,
      author       = {Ruppert, Marina C. and Greuel, Andrea and Freigang, Julia
                      and Tahmasian, Masoud and Maier, Franziska and Hammes,
                      Jochen and Eimeren, Thilo and Timmermann, Lars and
                      Tittgemeyer, Marc and Drzezga, Alexander and Eggers,
                      Carsten},
      title        = {{T}he default mode network and cognition in {P}arkinson's
                      disease: {A} multimodal resting‐state network approach},
      journal      = {Human brain mapping},
      volume       = {42},
      number       = {8},
      issn         = {1065-9471},
      address      = {New York, NY},
      publisher    = {Wiley-Liss},
      reportid     = {FZJ-2021-05943},
      pages        = {2623 - 2641},
      year         = {2021},
      abstract     = {Involvement of the default mode network (DMN) in cognitive
                      symptoms of Parkinson's disease (PD) has been reported by
                      resting-state functional MRI (rsfMRI) studies. However, the
                      relation to metabolic measures obtained by
                      [18F]-fluorodeoxyglucose positron emission tomography
                      (FDG-PET) is largely unknown. We applied multimodal
                      resting-state network analysis to clarify the association
                      between intrinsic metabolic and functional connectivity
                      abnormalities within the DMN and their significance for
                      cognitive symptoms in PD. PD patients were classified into
                      normal cognition (n = 36) and mild cognitive impairment
                      (MCI; n = 12). The DMN was identified by applying an
                      independent component analysis to FDG-PET and rsfMRI data of
                      a matched subset (16 controls and 16 PD patients) of the
                      total cohort. Besides metabolic activity, metabolic and
                      functional connectivity within the DMN were compared between
                      the patients' groups and healthy controls (n = 16). Glucose
                      metabolism was significantly reduced in all DMN nodes in
                      both patient groups compared to controls, with the lowest
                      uptake in PD-MCI (p < .05). Increased metabolic and
                      functional connectivity along fronto-parietal connections
                      was identified in PD-MCI patients compared to controls and
                      unimpaired patients. Functional connectivity negatively
                      correlated with cognitive composite z-scores in patients (r
                      = -.43, p = .005). The current study clarifies the
                      commonalities of metabolic and hemodynamic measures of brain
                      network activity and their individual significance for
                      cognitive symptoms in PD, highlighting the added value of
                      multimodal resting-state network approaches for identifying
                      prospective biomarkers.Keywords: Parkinson's disease;
                      [18F]-FDG-PET; default mode network; metabolic covariance;
                      mild cognitive impairment; resting-state fMRI.},
      cin          = {INM-2},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-2-20090406},
      pnm          = {5253 - Neuroimaging (POF4-525) / 5252 - Brain Dysfunction
                      and Plasticity (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253 / G:(DE-HGF)POF4-5252},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {33638213},
      UT           = {WOS:000622320900001},
      doi          = {10.1002/hbm.25393},
      url          = {https://juser.fz-juelich.de/record/904373},
}