Returns the TRACULA (TRActs Constrained by UnderLying Anatomy) white matter bundle atlas in MNI space.
Value
A ggseg_atlas object with components:
- atlas
Character. Atlas name ("tracula")
- type
Character. Atlas type ("tract")
- palette
Named character vector of colours for each tract
- data
A
ggseg_data_tractobject containing:- centerlines
List of centerline matrices per tract
- sf
Simple features data frame for 2D rendering
Details
This atlas contains major white matter tracts reconstructed from diffusion MRI using FreeSurfer's TRACULA training data. It works with both ggseg (2D slice projections) and ggseg3d (3D tube mesh visualizations).
References
Yendiki A, Panneck P, Srinivasan P, et al. (2011). Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy. Frontiers in Neuroinformatics, 5:23. doi:10.3389/fninf.2011.00023
Examples
tracula()
#>
#> ── tracula ggseg atlas ─────────────────────────────────────────────────────────
#> Type: tract
#> Regions: 26
#> Hemispheres: midline, left, right
#> Views: coronal, inferior_axial, mid_axial, sagittal, superior_axial
#> Palette: ✔
#> Rendering: ✔ ggseg
#> ✔ ggseg3d (centerlines)
#> ────────────────────────────────────────────────────────────────────────────────
#> hemi region label names
#> 1 midline acomm acomm anterior commissure
#> 2 midline cc bodyc cc.bodyc corpus callosum body central
#> 3 midline cc bodyp cc.bodyp corpus callosum body parietal
#> 4 midline cc bodypf cc.bodypf corpus callosum body prefrontal
#> 5 midline cc bodypm cc.bodypm corpus callosum body premotor
#> 6 midline cc bodyt cc.bodyt corpus callosum body temporal
#> 7 midline cc genu cc.genu corpus callosum genu
#> 8 midline cc rostrum cc.rostrum corpus callosum rostrum
#> 9 midline cc splenium cc.splenium corpus callosum splenium
#> 10 left af lh.af arcuate fasciculus
#> group
#> 1 commissure
#> 2 corpus callosum
#> 3 corpus callosum
#> 4 corpus callosum
#> 5 corpus callosum
#> 6 corpus callosum
#> 7 corpus callosum
#> 8 corpus callosum
#> 9 corpus callosum
#> 10 association
#> ... with 32 more rows
plot(tracula())
atlas_regions(tracula())
#> [1] "acomm" "af" "ar" "atr" "cbd"
#> [6] "cbv" "cc bodyc" "cc bodyp" "cc bodypf" "cc bodypm"
#> [11] "cc bodyt" "cc genu" "cc rostrum" "cc splenium" "cst"
#> [16] "emc" "fat" "fx" "ilf" "mcp"
#> [21] "mlf" "or" "slf1" "slf2" "slf3"
#> [26] "uf"
