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@ARTICLE{Mochalski:1029552,
      author       = {Mochalski, Lisa N. and Friedrich, Patrick and Li, Xuan and
                      Kröll, Jean-Philippe and Eickhoff, Simon B. and Weis,
                      Susanne},
      title        = {{I}nter‐ and intra‐subject similarity in network
                      functional connectivity across a full narrative movie},
      journal      = {Human brain mapping},
      volume       = {45},
      number       = {11},
      issn         = {1065-9471},
      address      = {New York, NY},
      publisher    = {Wiley-Liss},
      reportid     = {FZJ-2024-05164},
      pages        = {e26802},
      year         = {2024},
      abstract     = {Naturalistic paradigms, such as watching movies during
                      functional magnetic resonance imaging, are thought to prompt
                      the emotional and cognitive processes typically elicited in
                      real life situations. Therefore, naturalistic viewing (NV)
                      holds great potential for studying individual differences.
                      Previous studies have primarily focused on using shorter
                      movie clips, geared toward eliciting specific and often
                      isolated emotions, while the potential behind using full
                      narratives depicted in commercial movies as a proxy for
                      real-life experiences has barely been explored. Here, we
                      offer preliminary evidence that a full narrative movie
                      (FNM), that is, a movie covering a complete narrative arc,
                      can capture complex socio-affective dynamics and their links
                      to individual differences. Using the studyforrest dataset,
                      we investigated inter- and intra-subject similarity in
                      network functional connectivity (NFC) of 14
                      meta-analytically defined networks across a full narrative,
                      audio-visual movie split into eight consecutive movie
                      segments. We characterized the movie segments by valence and
                      arousal portrayed within the sequences, before utilizing a
                      linear mixed model to analyze which factors explain inter-
                      and intra-subject similarity. Our results show that the
                      model best explaining inter-subject similarity comprised
                      network, movie segment, valence and a movie segment by
                      valence interaction. Intra-subject similarity was influenced
                      significantly by the same factors and an additional
                      three-way interaction between movie segment, valence and
                      arousal. Overall, inter- and intra-subject similarity in NFC
                      were sensitive to the ongoing narrative and emotions in the
                      movie. We conclude that FNMs offer complex content and
                      dynamics that might be particularly valuable for studying
                      individual differences. Further characterization of movie
                      features, such as the overarching narratives, that enhance
                      individual differences is needed for advancing the potential
                      of NV research.Keywords: individual differences;
                      meta‐analytical networks; movie fMRI; naturalistic
                      viewing; network functional connectivity.},
      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       = {39086203},
      UT           = {WOS:001281259400001},
      doi          = {10.1002/hbm.26802},
      url          = {https://juser.fz-juelich.de/record/1029552},
}