Spatial basis functions

Spatial basis functions should be graded orthogonal maps, as opposed to discrete parcellations.

A handful are provided here for ease of use with CANlab tools, but for a more comprehensive or rigorous analysis you should look into NeuroMaps: https://netneurolab.github.io/neuromaps/usage.html.

Each sub-folder contains one set of orthogonal maps (a "basis") with its NIfTI(s), contents_description.md, visualize_contents.m, and a short methods write-up.

Sub-folders

Folder	Description	Loader keyword
margulies	Pilot — Margulies et al. 2016 first principal gradient of cortical organisation (unimodal → transmodal). CANlab volumetric build via registration fusion.	marg, transmodal, principalgradient, margfsl
transcriptomic_gradients	First three principal components of the Allen Human Brain Atlas gene-expression data (Burt et al. / Anderson et al.).	transcriptomic_gradients
hcp_91k	HCP 91k-grayordinate spatial bases (CIFTI).	—
hcp_groupICAs	HCP group-ICA spatial maps at multiple model orders.	—
mitochondrial_profile_maps	Mitochondrial-pathway profile maps (Mosharov / Picard 2025 Nature).	—

Conventions

See the docs README. Each folder retains any existing README.md verbatim; the contents_description.md adds the standardised overview / inventory / citation section and links back to that README.