% 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{Yan:1005521,
      author       = {Yan, Xiaoxuan and Kong, Ru and Xue, Aihuiping and Yang,
                      Qing and Orban, Csaba and An, Lijun and Holmes, Avram J. and
                      Qian, Xing and Chen, Jianzhong and Zuo, Xi-Nian and Zhou,
                      Juan Helen and Fortier, Marielle V and Tan, Ai Peng and
                      Gluckman, Peter and Chong, Yap Seng and Meaney, Michael J
                      and Bzdok, Danilo and Eickhoff, Simon B. and Yeo, B. T.
                      Thomas},
      title        = {{H}omotopic local-global parcellation of the human cerebral
                      cortex from resting-state functional connectivity},
      journal      = {NeuroImage},
      volume       = {273},
      issn         = {1053-8119},
      address      = {Orlando, Fla.},
      publisher    = {Academic Press},
      reportid     = {FZJ-2023-01521},
      pages        = {120010 -},
      year         = {2023},
      abstract     = {Resting-state fMRI is commonly used to derive brain
                      parcellations, which are widely used for dimensionality
                      reduction and interpreting human neuroscience studies. We
                      previously developed a model that integrates local and
                      global approaches for estimating areal-level cortical
                      parcellations. The resulting local-global parcellations are
                      often referred to as the Schaefer parcellations. However,
                      the lack of homotopic correspondence between left and right
                      Schaefer parcels has limited their use for brain
                      lateralization studies. Here, we extend our previous model
                      to derive homotopic areal-level parcellations. Using
                      resting-fMRI and task-fMRI across diverse scanners,
                      acquisition protocols, preprocessing and demographics, we
                      show that the resulting homotopic parcellations are as
                      homogeneous as the Schaefer parcellations, while being more
                      homogeneous than five publicly available parcellations.
                      Furthermore, weaker correlations between homotopic parcels
                      are associated with greater lateralization in resting
                      network organization, as well as lateralization in language
                      and motor task activation. Finally, the homotopic
                      parcellations agree with the boundaries of a number of
                      cortical areas estimated from histology and visuotopic fMRI,
                      while capturing sub-areal (e.g., somatotopic and visuotopic)
                      features. Overall, these results suggest that the homotopic
                      local-global parcellations represent neurobiologically
                      meaningful subdivisions of the human cerebral cortex and
                      will be a useful resource for future studies.
                      Multi-resolution parcellations estimated from 1479
                      participants are publicly available $(GITHUB_LINK).$},
      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       = {36918136},
      UT           = {WOS:000981404200001},
      doi          = {10.1016/j.neuroimage.2023.120010},
      url          = {https://juser.fz-juelich.de/record/1005521},
}