Microstructural profile covariance

This module samples intracortical intensities from a microstructurally-sensitive contrast. This is achieved by constructing a series of equivolumetric surfaces between pial and white matter boundaries, yielding unique intracortical intensity profiles at each vertex of the native surface mesh. This approach has been previously applied in the whole cortex, as well as in targeted structures such as the insula. By parcellating and cross-correlating nodal intensity profiles, this module profiles microstructural profile covariance (MPC) matrices describing similiarity in intracortical microstructure across the cortex.

Intracortical equivolumetric surfaces are generated using scripts from the surface tools repository, available via GitHub.

-MPC

Prerequisites 🖐🏼

You need to run -proc_structural, -proc_surf and -post_structural before this stage

Processing stepsUsageOutputs

• Compute registration from qMRI to surface native space.

• Generate 16 equivolumetric surfaces between pial and white matter boundary. Surfaces closest to pial and white matter boundaries are then discarded to account for partial volume effects, resulting in 14 surfaces used for further analyses

• Perform surface-based registration to fsaverage5, fsLR-32k, fsLR-5k templates

• Average intensity profiles within parcels defined on the native surface, while excluding outlier vertices

• Perform partial correlation, controlling for parcel-wide mean profile, across all pairs of intensity profiles

• Compute registration from qMRI to T1w-nativepro space.

• Map qMRI midthickness and white surfaces to fsLR-32k, fsLR-5k and fsaverage5