% 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{Jacobs:843871,
      author       = {Jacobs, Heidi and Dillen, Kim and Göreci, Yasemin and
                      Risius, Okka and Onur, Özgür and Fink, Gereon R. and
                      Kukolja, Juraj},
      title        = {{C}onsolidation in older adults depends upon competition
                      between resting-state networks},
      journal      = {Frontiers in aging neuroscience},
      volume       = {6},
      issn         = {1663-4365},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {FZJ-2018-01401},
      pages        = {344},
      year         = {2015},
      abstract     = {Memory encoding and retrieval problems are inherent to
                      aging. To date, however, the effect of aging upon the neural
                      correlates of forming memory traces remains poorly
                      understood. Resting-state fMRI connectivity can be used to
                      investigate initial consolidation. We compared within and
                      between network connectivity differences between healthy
                      young and older participants before encoding, after encoding
                      and before retrieval by means of resting-state fMRI.
                      Alterations over time in the between-network connectivity
                      analyses correlated with retrieval performance, whereas
                      within-network connectivity did not: a higher level of
                      negative coupling or competition between the default mode
                      and the executive networks during the after encoding
                      condition was associated with increased retrieval
                      performance in the older adults, but not in the young group.
                      Data suggest that the effective formation of memory traces
                      depends on an age-dependent, dynamic reorganization of the
                      interaction between multiple, large-scale functional
                      networks. Our findings demonstrate that a cross-network
                      based approach can further the understanding of the neural
                      underpinnings of aging-associated memory decline.},
      cin          = {INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {572 - (Dys-)function and Plasticity (POF3-572)},
      pid          = {G:(DE-HGF)POF3-572},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000348116000001},
      pubmed       = {pmid:25620930},
      doi          = {10.3389/fnagi.2014.00344},
      url          = {https://juser.fz-juelich.de/record/843871},
}