T1b — Registration & Parcellation

  • T1b brings subject brain into standard space (MNI, FSAVG, parcellation maps exist in standard space)
  • You have different kinds of transforms
    • 6dof — linear transformation
    • 12dof — nonlinear transformation
    • FNIRT — warping
    • By bringing subjects to MNI space, you generate instructions that you can use to bring parcellation maps to native space
  • Parcellation Maps
    • Different kinds of “standard” brains
    • e.g. Schaefer 2000, Schaefer subcortical
  • Schaefer Atlas (or yeo atlas, etc.)
    • Subdivides regions into functional networks
    • e.g. all ‘1’s are the visual network
  • To stay in MNI space or to go to subject?
    • The norm is to stay in MNI space, but for some analyses you want to bring the parcellation maps down into standard space
      • e.g. if you don’t care about individual differences in each map, stay in MNI
      • data isn’t always good enough to bring it down into native space
  • Segmentation
    • Chop, mask, etc to ensure that the parcellation maps are only on the grey matter
    • Make masks of CSF, White matter, and grey matter. Use these to find ideal grey matter masks (binary, is it or is it not)
      • Combine masks of unnecessary stuff (white matter, csf, etc) and use it to eliminate them from the grey matter mask
    • Erosion: erode the masks to make them just lines
  • Get subcortical structures
    • fsl_anat allows for most of T1a and T1b, we just use it to grab the subcortical structures

References