Data for "Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes"

This dataset contains the data which accompanies the paper "Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes", Morgan et al, 2019.
The data for the Maastricht GROUP, Dublin and Cobre datasets is in 3 separate folders. Each folder contains:

1. 308 regional values of cortical thickness, grey matter volume, surface area, mean curvature, Gaussian curvature, mean diffusivity and fractional anisotropy, for each of the subjects (i.e. 7 tables with dimensions 308 cortical regions x N subjects)
2. A vector of the subjects' ages
3. A vector of the subjects' genders (1= male, 2=female)
4. A vector of the subjects' group membership (1=control, 2=patient)

A fourth folder contains miscellaneous required files, namely:

1. Anatomical names and x, y, z co-ordinates in MNI space for each of the 308 cortical regions
2. Yeo network and von Economo classes for the 308 cortical regions
Please note that the 308 cortical region parcellation was created by Dr Rafael Romero-Garcia- see Romero-Garcia et al, NeuroImage 2012 (https://doi.org/10.1016/j.neuroimage.2011.10.086). The Yeo network mapping was performed by Jakob Seidlitz as part of the paper Váša et al, Cereb Cortex. 2018 (https://doi.org/10.1093/cercor/bhx249). The von Economo class mapping was performed by Dr Konrad Wagstyl and Dr Kirstie Whitaker as part of the paper Whitaker and Vértes, PNAS 2016 (https://doi.org/10.1073/pnas.1601745113). Please cite those papers if you use the mappings in your own work.

Code to calculate morphometric similarity matrices and perform the analyses reported in the paper is available at: https://github.com/SarahMorgan/Morphometric_Similarity_SZ.