Proposed Project: Procedures

• CIVET : Corticometric Iterative Vertex-based Estimation of Thickness, a pipeline that handles large data-sets, developed at the MNI.

  • Correction for RF intensity non-uniformity
  • Linear registration to MNI-Talairach space
  • Tissue classification into three classes: white matter, gray matter & CSF
  • anatomic labelling of brain regions according to a 3-D probabilistic map
  • Partial-volume tissue classification and generation of a skeleton for the CSF
  • Inter-subject non-linear surface registration of the WMS
  • Reverse transformation of volume (for native-thickness)
  • thickness metric at each vertex (twice: standardized and native thickness)
  • Blurring of cortical thickness maps using a surface-based smoothing kernel