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@ARTICLE{SimonVermot:140324,
      author       = {Simon-Vermot, Lee and Taylor, Alexander N W and Araque
                      Caballero, Miguel À and Franzmeier, Nicolai and Bürger,
                      Katharina and Catak, Cihan and Janowitz, Daniel and
                      Kambeitz-Ilankovic, Lana M and Ertl-Wagner, Birgit and
                      Duering, Marco and Ewers, Michael},
      title        = {{C}orrespondence {B}etween {R}esting-{S}tate and {E}pisodic
                      {M}emory-{T}ask {R}elated {N}etworks in {E}lderly
                      {S}ubjects.},
      journal      = {Frontiers in aging neuroscience},
      volume       = {10},
      issn         = {1663-4365},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {DZNE-2020-06646},
      pages        = {362},
      year         = {2018},
      abstract     = {Resting-state fMRI studies demonstrated temporally
                      synchronous fluctuations in brain activity among ensembles
                      of brain regions, suggesting the existence of intrinsic
                      functional networks. A spatial match between some of the
                      resting-state networks and regional brain activation during
                      cognitive tasks has been noted, suggesting that
                      resting-state networks support particular cognitive
                      abilities. However, the spatial match and predictive value
                      of any resting-state network and regional brain activation
                      during episodic memory is only poorly understood. In order
                      to address this research gap, we obtained fMRI acquired both
                      during rest and a face-name association task in 38 healthy
                      elderly subjects. In separate independent component
                      analyses, networks of correlated brain activity during rest
                      or the episodic memory task were identified. For the
                      independent components identified for task-based fMRI, the
                      design matrix of successful encoding or retrieval trials was
                      regressed against the time course of each of the component
                      to identify significantly activated networks. Spatial
                      regression was used to assess the match of resting-state
                      networks against those related to successful memory encoding
                      or retrieval. We found that resting-state networks covering
                      the medial temporal, middle temporal, and frontal areas
                      showed increased activity during successful encoding.
                      Resting-state networks located within posterior brain
                      regions showed increased activity during successful
                      recognition. However, the level of resting-state network
                      connectivity was not predictive of the task-related activity
                      in these networks. These results suggest that a
                      circumscribed number of functional networks detectable
                      during rest become engaged during successful episodic
                      memory. However, higher intrinsic connectivity at rest may
                      not translate into higher network expression during episodic
                      memory.},
      cin          = {AG Höglinger 1},
      ddc          = {610},
      cid          = {I:(DE-2719)1110002},
      pnm          = {899H - Addenda (POF3-899H)},
      pid          = {G:(DE-HGF)POF3-899H},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30467476},
      pmc          = {pmc:PMC6236026},
      doi          = {10.3389/fnagi.2018.00362},
      url          = {https://pub.dzne.de/record/140324},
}