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@ARTICLE{Veselinovi:902347,
      author       = {Veselinović, Tanja and Rajkumar, Ravichandran and Amort,
                      Laura and Junger, Jessica and Shah, Nadim Jon and Fimm,
                      Bruno and Neuner, Irene},
      title        = {{C}onnectivity {P}atterns in the {C}ore {R}esting-{S}tate
                      {N}etworks and {T}heir {I}nfluence on {C}ognition},
      journal      = {Brain Connectivity},
      volume       = {12},
      number       = {4},
      issn         = {2158-0022},
      address      = {New Rochelle, NY},
      publisher    = {Liebert},
      reportid     = {FZJ-2021-04196},
      pages        = {334-347},
      year         = {2022},
      abstract     = {Introduction: Three prominent resting-state networks (rsNW)
                      (default mode network [DMN], salience network [SN], and
                      central executive network [CEN]) are recognized for their
                      important role in several neuropsychiatric conditions.
                      However, our understanding of their relevance in terms of
                      cognition remains insufficient.Materials and Methods: In
                      response, this study aims at investigating the patterns of
                      different network properties (resting-state activity [RSA]
                      and short- and long-range functional connectivity [FC]) in
                      these three core rsNWs, as well as the dynamics of
                      age-associated changes and their relation to cognitive
                      performance in a sample of healthy controls (N = 74)
                      covering a large age span (20–79 years). Using a
                      whole-network based approach, three measures were calculated
                      from the functional magnetic resonance imaging (fMRI) data:
                      amplitude of low-frequency fluctuations (ALFF), regional
                      homogeneity (ReHo), and degree of network centrality (DC).
                      The cognitive test battery covered the following domains:
                      memory, executive functioning, processing speed, attention,
                      and visual perception.Results: For all three fMRI measures
                      (ALFF, ReHo, and DC), the highest values of spontaneous
                      brain activity (ALFF), short- and long-range connectivity
                      (ReHo, DC) were observed in the DMN and the lowest in the
                      SN. Significant age-associated decrease was observed in the
                      DMN for ALFF and DC, and in the SN for ALFF and ReHo.
                      Significant negative partial correlations were observed for
                      working memory and ALFF in all three networks, as well as
                      for additional cognitive parameters and ALFF in
                      CEN.Discussion: Our results show that higher RSA in the
                      three core rsNWs may have an unfavorable effect on
                      cognition. Conversely, the pattern of network properties in
                      healthy subjects included low RSA and FC in the SN. This
                      complements previous research related to the three core rsNW
                      and shows that the chosen approach can provide additional
                      insight into their function.},
      cin          = {INM-4 / INM-11 / JARA-BRAIN},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
                      I:(DE-Juel1)VDB1046},
      pnm          = {5253 - Neuroimaging (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {34182786},
      UT           = {WOS:000804386600004},
      doi          = {10.1089/brain.2020.0943},
      url          = {https://juser.fz-juelich.de/record/902347},
}