Table 3. BigBrainWarp contents.

Data	Definition	Original space	Transformed spaces
Profiles	Staining intensity profiles, sampled at each vertex and across 50 equivolumetric surfaces	BigBrain	fsaverage, fs_LR (164 k and 32 k)
White	Grey/white matter boundary	BigBrain, fsaverage, fs_LR
Sphere	Spherical representation of surface mesh	BigBrain, fsaverage, fs_LR
Confluence	Continuous surface that includes isocortex and allocortex (hippocampus) from Paquola et al., 2020a	BigBrain
Histological gradients	First two eigenvectors of cytoarchitectural differentiation derived from BigBrain	BigBrain	fsaverage, fs_LR (164 k and 32 k), icbm
Microstructural gradients	First two eigenvector of microstructural differentiation derived from quantitative in-vivo T1 imaging	fsaverage	BigBrain,
Functional gradients	First three eigenvectors of functional differentiation derived from rs-fMRI	fsaverage	BigBrain
Seven functional networks	Seven functional networks from Yeo et al., 2011	fsaverage	BigBrain
17 Functional networks	17 Functional networks from Yeo et al., 2011	fsaverage	BigBrain, icbm
Layer thickness	Layer thicknesses estimated from Wagstyl et al., 2020	BigBrain	fsaverage, fs_LR (164 k and 32 k)

Note: Datasets Are Named According to BIDS and Align with Recommendations From TemplateFlow (Ciric et al., 2021).