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README.md

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Some parcellations

  • fmri_d100_parcellation_with_PCC_reduced_2mm_ss5mm_ds8mm.nii.gz from Mark for the time embedded HMM, 38 ROIs

  • The following is a set from Giles with 40 ROIs, non-binary parcellations

      fmri_d100_parcellation_with_PCC_biggerCoverageJul16.dtseries.nii
  fmri_d100_parcellation_with_PCC_tighterMay15_v2_2mm.nii.gz
  fmri_d100_parcellation_with_PCC_tighterMay15_v2_6mm_exclusive.nii.gz
  fmri_d100_parcellation_with_PCC_tighterMay15_v2_8mm.nii.gz
From Jeroen

2mm & 8mm, 4D-file vs Winner-Takes-All. These parcellations consist of 38 parcels

fMRI_parcellation_ds2mm.nii.gz
fMRI_parcellation_ds8mm.nii.gz
WTA_fMRI_parcellation_ds2mm.nii.gz
WTA_fMRI_parcellation_ds8mm.nii.gz
Desikan-Killiany
  • dk_cortical_network and dk_full_network are originally from Stam, computing from the HCP using the Desikan-Killiany parcellation. These also have connectivity and distance matrices and are thus also used for biophysical model simulations
  • dk_cortical and dk_full correspond to just the parcellation component of the above two networks, and are stored in standard .nii format for convenient use within OSL# parcellations