Pre-loaded Schaefer cortical parcellation with 400 regions organized into 17 functional networks. This atlas divides the cerebral cortex based on resting-state functional connectivity patterns.
Format
A list with class 'schaefer' and 'atlas' containing:
- name
Character string "schaefer17_400"
- atlas
A
ClusteredNeuroVolobject with the parcellation- cmap
Data frame with RGB color values for visualization
- ids
Integer vector of region IDs (1:400)
- labels
Character vector of region labels
- orig_labels
Original Schaefer labels
- network
Network assignment for each region
- hemi
Hemisphere designation ('left' or 'right')
References
Schaefer, A., et al. (2018). Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI. Cerebral Cortex, 28(9), 3095-3114.
Examples
# \donttest{
data(Schaefer17_400)
print(Schaefer17_400)
#> # ggseg atlas
#> hemi area side label atlas ggseg
#> <chr> <chr> <chr> <chr> <chr> <list<ti>
#> 1 left Background.FreeSurfer_Defined_Medial_Wall lateral Back… Scha… [136 × 4]
#> 2 left VisCent_ExStr_3 lateral 17Ne… Scha… [130 × 4]
#> 3 left VisCent_ExStr_5 lateral 17Ne… Scha… [142 × 4]
#> 4 left VisCent_ExStr_6 lateral 17Ne… Scha… [148 × 4]
#> 5 left VisCent_ExStr_7 lateral 17Ne… Scha… [149 × 4]
#> 6 left VisCent_ExStr_8 lateral 17Ne… Scha… [140 × 4]
#> 7 left VisCent_ExStr_9 lateral 17Ne… Scha… [149 × 4]
#> 8 left VisCent_ExStr_11 lateral 17Ne… Scha… [146 × 4]
#> 9 left SomMotA_2 lateral 17Ne… Scha… [145 × 4]
#> 10 left SomMotA_3 lateral 17Ne… Scha… [161 × 4]
#> # ℹ 390 more rows
table(Schaefer17_400$network)
#> Warning: Unknown or uninitialised column: `network`.
#> < table of extent 0 >
# }