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@ARTICLE{Kim:1031465,
      author       = {Kim, Sunghun and Yoo, Seulki and Xie, Ke and Royer, Jessica
                      and Larivière, Sara and Byeon, Kyoungseob and Lee, Jong Eun
                      and Park, Yeongjun and Valk, Sofie L. and Bernhardt, Boris
                      C. and Hong, Seok-Jun and Park, Hyunjin and Park, Bo-yong},
      title        = {{C}omparison of different group-level templates in
                      gradient-based multimodal connectivity analysis},
      journal      = {Network neuroscience},
      volume       = {8},
      number       = {4},
      issn         = {2472-1751},
      address      = {Cambridge, MA},
      publisher    = {The MIT Press},
      reportid     = {FZJ-2024-05684},
      pages        = {1009–1031},
      year         = {2024},
      abstract     = {The study of large-scale brain connectivity is increasingly
                      adopting unsupervised approaches that derive low-dimensional
                      spatial representations from high-dimensional connectomes,
                      referred to as gradient analysis. When translating this
                      approach to study interindividual variations in
                      connectivity, one technical issue pertains to the selection
                      of an appropriate group-level template to which individual
                      gradients are aligned. Here, we compared different
                      group-level template construction strategies using
                      functional and structural connectome data from neurotypical
                      controls and individuals with autism spectrum disorder (ASD)
                      to identify between-group differences. We studied multimodal
                      magnetic resonance imaging data obtained from the Autism
                      Brain Imaging Data Exchange (ABIDE) Initiative II and the
                      Human Connectome Project (HCP). We designed six template
                      construction strategies that varied in whether (1) they
                      included typical controls in addition to ASD; or (2) they
                      mapped from one dataset onto another. We found that aligning
                      a combined subject template of the ASD and control subjects
                      from the ABIDE Initiative onto the HCP template exhibited
                      the most pronounced effect size. This strategy showed robust
                      identification of ASD-related brain regions for both
                      functional and structural gradients across different study
                      settings. Replicating the findings on focal epilepsy
                      demonstrated the generalizability of our approach. Our
                      findings will contribute to improving gradient-based
                      connectivity research.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5252 - Brain Dysfunction and Plasticity (POF4-525) / 5251 -
                      Multilevel Brain Organization and Variability (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5252 / G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {39735514},
      UT           = {WOS:001380489600002},
      doi          = {10.1162/netn_a_00382},
      url          = {https://juser.fz-juelich.de/record/1031465},
}