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@ARTICLE{Krll:1006698,
      author       = {Kröll, Jean-Philippe and Friedrich, Patrick and Li, Xuan
                      and Patil, Kaustubh R. and Mochalski, Lisa and Waite, Laura
                      and Qian, Xing and Chee, Michael WL and Zhou, Juan Helen and
                      Eickhoff, Simon and Weis, Susanne},
      title        = {{N}aturalistic viewing increases individual identifiability
                      based on connectivity within functional brain networks},
      journal      = {NeuroImage},
      volume       = {273},
      issn         = {1053-8119},
      address      = {Orlando, Fla.},
      publisher    = {Academic Press},
      reportid     = {FZJ-2023-01787},
      pages        = {120083 -},
      year         = {2023},
      abstract     = {Naturalistic viewing (NV) is currently considered a
                      promising paradigm for studying individual differences in
                      functional brain organization. While whole brain functional
                      connectivity (FC) under NV has been relatively well
                      characterized, so far little work has been done on a network
                      level.Here, we extend current knowledge by characterizing
                      the influence of NV on FC in fourteen meta-analytically
                      derived brain networks considering three different movie
                      stimuli in comparison to resting-state (RS). We show that NV
                      increases identifiability of individuals over RS based on
                      functional connectivity in certain, but not all networks.
                      Furthermore, movie stimuli including a narrative appear more
                      distinct from RS. In addition, we assess individual
                      variability in network FC by comparing within- and
                      between-subject similarity during NV and RS. We show that NV
                      can evoke individually distinct NFC patterns by increasing
                      inter-subject variability while retaining within-subject
                      similarity. Crucially, our results highlight that this
                      effect is not observable across all networks, but rather
                      dependent on the network-stimulus combination. Our results
                      confirm that NV can improve the detection of individual
                      differences over RS and underline the importance of
                      selecting the appropriate combination of movie and cognitive
                      network for the research question at hand.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {37015270},
      UT           = {WOS:000981363300001},
      doi          = {10.1016/j.neuroimage.2023.120083},
      url          = {https://juser.fz-juelich.de/record/1006698},
}