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@ARTICLE{Bezgin:21838,
      author       = {Bezgin, G. and Vakorin, V.A. and van Opstal, A.J. and
                      McIntosh, A.R. and Bakker, R.},
      title        = {{H}undreds of brain maps in one atlas: {R}egistering
                      coordinate-independent primate neuro-anatomical data to a
                      standard brain},
      journal      = {NeuroImage},
      volume       = {62},
      issn         = {1053-8119},
      address      = {Orlando, Fla.},
      publisher    = {Academic Press},
      reportid     = {PreJuSER-21838},
      pages        = {67 - 76},
      year         = {2012},
      note         = {GB and RM acknowledge McDonnell Baycrest grant 737100401.
                      RB is supported by the German INCF Node (BMBF grant
                      01GQ0801), the Helmholtz Alliance on Systems Biology, JUGENE
                      grant JINB33, the Next-Generation Supercomputer Project of
                      MEXT, Japan, EU grant 269921 (BrainScaleS). We thank David
                      Van Essen, Donna Dierker, John Harwell, Stan Gielen, Alfi
                      Afadiyanti, Jimmy Shen, Kelly Shen. Thanks to Rolf Kotter
                      and his family.},
      abstract     = {Non-invasive measuring methods such as EEG/MEG, fMRI and
                      DTI are increasingly utilised to extract quantitative
                      information on functional and anatomical connectivity in the
                      human brain. These methods typically register their data in
                      Euclidean space, so that one can refer to a particular
                      activity pattern by specifying its spatial coordinates.
                      Since each of these methods has limited resolution in either
                      the time or spatial domain, incorporating additional data,
                      such as those obtained from invasive animal studies, would
                      be highly beneficial to link structure and function. Here we
                      describe an approach to spatially register all cortical
                      brain regions from the macaque structural connectivity
                      database CoCoMac, which contains the combined tracing study
                      results from 459 publications (http://cocomac.g-node.org).
                      Brain regions from 9 different brain maps were directly
                      mapped to a standard macaque cortex using the tool Caret
                      (Van Essen and Dierker, 2007). The remaining regions in the
                      CoCoMac database were semantically linked to these 9 maps
                      using previously developed algebraic and machine-learning
                      techniques (Bezgin et al., 2008; Stephan et al., 2000). We
                      analysed neural connectivity using several graph-theoretical
                      measures to capture global properties of the derived
                      network, and found that Markov Centrality provides the most
                      direct link between structure and function. With this
                      registration approach, users can query the CoCoMac database
                      by specifying spatial coordinates. Availability of
                      deformation tools and homology evidence then allow one to
                      directly attribute detailed anatomical animal data to human
                      experimental results.},
      keywords     = {Animals / Brain: anatomy $\&$ histology / Computer
                      Simulation / Databases, Factual: standards / Image
                      Interpretation, Computer-Assisted: methods / Macaca: anatomy
                      $\&$ histology / Models, Anatomic / Models, Neurological /
                      Nerve Net: anatomy $\&$ histology / Reference Values /
                      Software / Subtraction Technique / J (WoSType)},
      cin          = {INM-6},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-6-20090406},
      pnm          = {Funktion und Dysfunktion des Nervensystems (FUEK409) /
                      BRAINSCALES - Brain-inspired multiscale computation in
                      neuromorphic hybrid systems (269921)},
      pid          = {G:(DE-Juel1)FUEK409 / G:(EU-Grant)269921},
      shelfmark    = {Neurosciences / Neuroimaging / Radiology, Nuclear Medicine
                      $\&$ Medical Imaging},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:22521477},
      UT           = {WOS:000305859300008},
      doi          = {10.1016/j.neuroimage.2012.04.013},
      url          = {https://juser.fz-juelich.de/record/21838},
}