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@ARTICLE{Royer:1031831,
      author       = {Royer, Jessica and Paquola, Casey and Valk, Sofie L. and
                      Kirschner, Matthias and Hong, Seok-Jun and Park, Bo-yong and
                      Bethlehem, Richard A. I. and Leech, Robert and Yeo, B. T.
                      Thomas and Smallwood, Jonathan and Jefferies, Elizabeth and
                      Margulies, Daniel and Bernhardt, Boris C.},
      title        = {{G}radients of {B}rain {O}rganization: {S}mooth {S}ailing
                      from {M}ethods {D}evelopment to {U}ser {C}ommunity},
      journal      = {Neuroinformatics},
      volume       = {22},
      issn         = {1539-2791},
      address      = {New York, NY},
      publisher    = {Springer},
      reportid     = {FZJ-2024-05846},
      pages        = {623-634},
      year         = {2024},
      abstract     = {Multimodal neuroimaging grants a powerful in vivo window
                      into the structure and function of the human brain. Recent
                      methodological and conceptual advances have enabled
                      investigations of the interplay between large-scale spatial
                      trends – or gradients – in brain structure and function,
                      offering a framework to unify principles of brain
                      organization across multiple scales. Strong community
                      enthusiasm for these techniques has been instrumental in
                      their widespread adoption and implementation to answer key
                      questions in neuroscience. Following a brief review of
                      current literature on this framework, this perspective paper
                      will highlight how pragmatic steps aiming to make gradient
                      methods more accessible to the community propelled these
                      techniques to the forefront of neuroscientific inquiry. More
                      specifically, we will emphasize how interest for gradient
                      methods was catalyzed by data sharing, open-source software
                      development, as well as the organization of dedicated
                      workshops led by a diverse team of early career researchers.
                      To this end, we argue that the growing excitement for brain
                      gradients is the result of coordinated and consistent
                      efforts to build an inclusive community and can serve as a
                      case in point for future innovations and conceptual advances
                      in neuroinformatics. We close this perspective paper by
                      discussing challenges for the continuous refinement of
                      neuroscientific theory, methodological innovation, and
                      real-world translation to maintain our collective progress
                      towards integrated models of brain organization.},
      cin          = {INM-7},
      ddc          = {540},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525) / 5252 - Brain Dysfunction and Plasticity
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251 / G:(DE-HGF)POF4-5252},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {38568476},
      UT           = {WOS:001195996900001},
      doi          = {10.1007/s12021-024-09660-y},
      url          = {https://juser.fz-juelich.de/record/1031831},
}