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@ARTICLE{Barnikol:51350,
      author       = {Barnikol, U. B. and Amunts, K. and Dammers, J. and
                      Mohlberg, H. and Fieseler, T. and Malikovic, A. and Zilles,
                      K. and Niedeggen, M. and Tass, P. A.},
      title        = {{P}attern reversal visual evoked responses of {V}1/{V}2 and
                      {V}5/{MT} as revealed by {MEG} combined with probabilistic
                      cytoarchitectonic maps},
      journal      = {NeuroImage},
      volume       = {31},
      issn         = {1053-8119},
      address      = {Orlando, Fla.},
      publisher    = {Academic Press},
      reportid     = {PreJuSER-51350},
      pages        = {86 - 108},
      year         = {2006},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {Pattern reversal stimulation provides an established tool
                      for assessing the integrity of the visual pathway and for
                      studying early visual processing. Numerous
                      magnetoencephalographic (MEG) and electroencephalographic
                      (EEG) studies have revealed a three-phasic waveform of the
                      averaged pattern reversal visual evoked potential/magnetic
                      field, with components N75(m), P100(m), and N145(m).
                      However, the anatomical assignment of these components to
                      distinct cortical generators is still a matter of debate,
                      which has inter alia connected with considerable
                      interindividual variations of the human striate and
                      extrastriate cortex. The anatomical variability can be
                      compensated for by means of probabilistic cytoarchitectonic
                      maps, which are three-dimensional maps obtained by an
                      observer-independent statistical mapping in a sample of ten
                      postmortem brains. Transformed onto a subject's brain under
                      consideration, these maps provide the probability with which
                      a given voxel of the subject's brain belongs to a particular
                      cytoarchitectonic area. We optimize the spatial selectivity
                      of the probability maps for V1 and V2 with a probability
                      threshold which optimizes the self- vs. cross-overlap in the
                      population of postmortem brains used for deriving the
                      probabilistic cytoarchitectonic maps. For the first time, we
                      use probabilistic cytoarchitectonic maps of visual cortical
                      areas in order to anatomically identify active cortical
                      generators underlying pattern reversal visual evoked
                      magnetic fields as revealed by MEG. The generators are
                      determined with magnetic field tomography (MFT), which
                      reconstructs the current source density in each voxel. In
                      all seven subjects, our approach reveals generators in V1/V2
                      (with a greater overlap with V1) and in V5 unilaterally
                      (right V5 in three subjects, left V5 in four subjects) and
                      consistent time courses of their stimulus-locked
                      activations, with three peak activations in V1/V2
                      (contributing to C1m/N75m, P100m, and N145m) and two peak
                      activations in V5 (contributing to P100m and N145m). The
                      reverberating V1/V2 and V5 activations demonstrate the
                      effect of recurrent activation mechanisms including V1 and
                      extrastriate areas and/or corticofugal feedback loops. Our
                      results demonstrate that the combined investigation of MEG
                      signals with MFT and probabilistic cytoarchitectonic maps
                      significantly improves the anatomical identification of
                      active brain areas.},
      keywords     = {Adult / Attention: physiology / Brain Mapping / Evoked
                      Potentials, Visual: physiology / Geniculate Bodies:
                      physiology / Humans / Image Processing, Computer-Assisted /
                      Magnetoencephalography / Male / Models, Statistical /
                      Neurons: physiology / Neurons: ultrasonography / Pattern
                      Recognition, Visual: physiology / Reaction Time: physiology
                      / Reference Values / Signal Processing, Computer-Assisted /
                      Visual Cortex: anatomy $\&$ histology / Visual Cortex:
                      physiology / Visual Pathways: physiology / J (WoSType)},
      cin          = {IME / JARA-BRAIN},
      ddc          = {610},
      cid          = {I:(DE-Juel1)VDB54 / $I:(DE-82)080010_20140620$},
      pnm          = {Funktion und Dysfunktion des Nervensystems},
      pid          = {G:(DE-Juel1)FUEK409},
      shelfmark    = {Neurosciences / Neuroimaging / Radiology, Nuclear Medicine
                      $\&$ Medical Imaging},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:16480895},
      UT           = {WOS:000238012200009},
      doi          = {10.1016/j.neuroimage.2005.11.045},
      url          = {https://juser.fz-juelich.de/record/51350},
}