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.<br>The data for the Maastricht GROUP, Dublin and Cobre datasets is in 3 separate folders. Each folder contains:<br><br>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)<br>2. A vector of the subjects' ages<br>3. A vector of the subjects' genders (1= male, 2=female)<br>4. A vector of the subjects' group membership (1=control, 2=patient)<br><br>A fourth folder contains miscellaneous required files, namely:<br><br>1. Anatomical names and x, y, z co-ordinates in MNI space for each of the 308 cortical regions<br>2. Yeo network and von Economo classes for the 308 cortical regions<br>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.<br><br>Code to calculate morphometric similarity matrices and perform the analyses reported in the paper is available at: https://github.com/SarahMorgan/Morphometric_Similarity_SZ.<b></b><i></i><br>