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@ARTICLE{Balan:1014462,
      author       = {Balan, Puiu F and Zhu, Qi and Li, Xiaolian and Niu, Meiqi
                      and Rapan, Lucija and Funck, Thomas and Bakker, Rembrandt
                      and Palomero-Gallagher, Nicola and Vanduffel, Wim},
      title        = {{MEBRAINS} 1.0: a new population-based macaque atlas},
      journal      = {bioRxiv beta},
      address      = {Cold Spring Harbor},
      publisher    = {Cold Spring Harbor Laboratory, NY},
      reportid     = {FZJ-2023-03312},
      year         = {2023},
      abstract     = {Due to their fundamental relevance, the number of
                      anatomical macaque brain templates is constantly growing.
                      Novel templates aim to alleviate limitations of previously
                      published atlases and offer the foundation to integrate
                      multiscale multimodal data. Typical limitations of existing
                      templates include their reliance on one subject, their
                      unimodality (usually only T1 or histological images), or
                      lack of anatomical details. The MEBRAINS template overcomes
                      these limitations by using a combination of T1 and T2
                      images, from the same 10 animals (Macaca mulatta), which are
                      averaged by the multi-brain toolbox for diffeomorphic
                      registration and segmentation. The resulting volumetric T1
                      and T2 templates are supplemented with high quality white
                      and gray matter surfaces built with FreeSurfer.
                      Human-curated segmentations of pial surface, white/gray
                      matter interface and major subcortical nuclei were used to
                      analyse the relative quality of the MEBRAINS template.
                      Recently published 3D maps of the macaque inferior parietal
                      lobe and (pre)motor cortex were warped to the MEBRAINS
                      surface template, thus populating it with a parcellation
                      scheme based on cyto- and receptor architectonic analyses.
                      Finally, 9 CT scans of the same monkeys were registered to
                      the T1 modality and co-registered to the template. Through
                      its main features (multi-subject, multi-modal,
                      volume-and-surface, traditional and deep learning-based
                      segmentations), MEBRAINS aims to improve integration of
                      multi-modal multi-scale macaque data and is quantitatively
                      equal or better compared to currently widely used macaque
                      templates. The template is integrated in the EBRAINS and
                      Scalable Brain Atlas web-based infrastructures, each of
                      which comes with its own suite of spatial registration
                      tools.},
      cin          = {INM-1},
      ddc          = {570},
      cid          = {I:(DE-Juel1)INM-1-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525) / 5254 - Neuroscientific Data Analytics and AI
                      (POF4-525) / HBP SGA3 - Human Brain Project Specific Grant
                      Agreement 3 (945539)},
      pid          = {G:(DE-HGF)POF4-5251 / G:(DE-HGF)POF4-5254 /
                      G:(EU-Grant)945539},
      typ          = {PUB:(DE-HGF)25},
      doi          = {10.1101/2023.06.21.545953},
      url          = {https://juser.fz-juelich.de/record/1014462},
}