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@ARTICLE{Reuter:874484,
      author       = {Reuter, Niels and Genon, Sarah and Kharabian Masouleh,
                      Shahrzad and Hoffstaedter, Felix and Liu, Xiaojin and
                      Kalenscher, Tobias and Eickhoff, Simon B. and Patil,
                      Kaustubh R.},
      title        = {{CBP}tools: a {P}ython package for regional
                      connectivity-based parcellation},
      journal      = {Brain structure $\&$ function},
      volume       = {225},
      issn         = {1863-2661},
      address      = {Heidelberg},
      publisher    = {Springer},
      reportid     = {FZJ-2020-01463},
      pages        = {1261–1275},
      year         = {2020},
      note         = {This study was supported by the European Union’s Horizon
                      2020 Research and Innovation Programme under Grant Agreement
                      no. 785907 (HBP SGA2) and Grant Agreement no. 7202070 (HBP
                      SGA1). SG is supported by the Deutsche
                      Forschungsgemeinschaft (DFG) under Grant Agreement GE
                      2835/1-1.},
      abstract     = {Regional connectivity-based parcellation (rCBP) is a widely
                      used procedure for investigating the structural and
                      functional differentiation within a region of interest (ROI)
                      based on its long-range connectivity. No standardized
                      software or guidelines currently exist for applying rCBP,
                      making the method only accessible to those who develop their
                      own tools. As such, there exists a discrepancy between the
                      laboratories applying the procedure each with their own
                      software solutions, making it difficult to compare and
                      interpret the results. Here, we outline an rCBP procedure
                      accompanied by an open source software package called
                      CBPtools. CBPtools is a Python (version 3.5+) package that
                      allows users to run an extensively evaluated rCBP analysis
                      workflow on a given ROI. It currently supports two
                      modalities: resting-state functional connectivity and
                      structural connectivity based on diffusion-weighted imaging,
                      along with support for custom connectivity matrices.
                      Analysis parameters are customizable and the workflow can be
                      scaled to a large number of subjects using a parallel
                      processing environment. Parcellation results with
                      corresponding validity metrics are provided as textual and
                      graphical output. Thus, CBPtools provides a simple
                      plug-and-play, yet customizable way to conduct rCBP
                      analyses. By providing an open-source software we hope to
                      promote reproducible and comparable rCBP analyses and,
                      importantly, make the rCBP procedure readily available.
                      Here, we demonstrate the utility of CBPtools using a
                      voluminous data set on an average compute-cluster
                      infrastructure by performing rCBP on three ROIs prominently
                      featured in parcellation literature.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / HBP
                      SGA2 - Human Brain Project Specific Grant Agreement 2
                      (785907) / HBP SGA1 - Human Brain Project Specific Grant
                      Agreement 1 (720270)},
      pid          = {G:(DE-HGF)POF3-574 / G:(EU-Grant)785907 /
                      G:(EU-Grant)720270},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32144496},
      UT           = {WOS:000537779200006},
      doi          = {10.1007/s00429-020-02046-1},
      url          = {https://juser.fz-juelich.de/record/874484},
}