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@ARTICLE{Kong:1041139,
      author       = {Kong, Ru and Spreng, R. Nathan and Xue, Aihuiping and
                      Betzel, Richard F. and Cohen, Jessica R. and Damoiseaux,
                      Jessica S. and De Brigard, Felipe and Eickhoff, Simon B. and
                      Fornito, Alex and Gratton, Caterina and Gordon, Evan M. and
                      Holmes, Avram J. and Laird, Angela R. and Larson-Prior,
                      Linda and Nickerson, Lisa D. and Pinho, Ana Luísa and Razi,
                      Adeel and Sadaghiani, Sepideh and Shine, James M. and
                      Yendiki, Anastasia and Yeo, B. T. Thomas and Uddin, Lucina
                      Q.},
      title        = {{A} network correspondence toolbox for quantitative
                      evaluation of novel neuroimaging results},
      journal      = {Nature Communications},
      volume       = {16},
      number       = {1},
      issn         = {2041-1723},
      address      = {[London]},
      publisher    = {Springer Nature},
      reportid     = {FZJ-2025-02165},
      pages        = {2930},
      year         = {2025},
      abstract     = {The brain can be decomposed into large-scale functional
                      networks, but the specific spatial topographies of these
                      networks and the names used to describe them vary across
                      studies. Such discordance has hampered interpretation and
                      convergence of research findings across the field. We have
                      developed the Network Correspondence Toolbox (NCT) to permit
                      researchers to examine and report spatial correspondence
                      between their novel neuroimaging results and multiple widely
                      used functional brain atlases. We provide several exemplar
                      demonstrations to illustrate how researchers can use the NCT
                      to report their own findings. The NCT provides a convenient
                      means for computing Dice coefficients with spin test
                      permutations to determine the magnitude and statistical
                      significance of correspondence among user-defined maps and
                      existing atlas labels. The adoption of the NCT will make it
                      easier for network neuroscience researchers to report their
                      findings in a standardized manner, thus aiding
                      reproducibility and facilitating comparisons between studies
                      to produce interdisciplinary insights.},
      cin          = {INM-7},
      ddc          = {500},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5253 - Neuroimaging (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {40133295},
      UT           = {WOS:001452497500033},
      doi          = {10.1038/s41467-025-58176-9},
      url          = {https://juser.fz-juelich.de/record/1041139},
}