This repository contains processing scripts and data in support of the preprint "Neurophysiological signatures of cortical micro-architecture" on biorxiv. doi: https://doi.org/10.1101/2023.01.23.525101
The code folder contains all the code used to run the analyses and generate the figures. All code in preprocessing folder was written in Matlab and was used to preprocess resting-state MEG HCP data using Brainstorm. Time-series features of MEG data were calculated using hctsa toolbox. All code in analysis folder was written in Python and was used to analyze the preprocessed data. I regularly use netneurotools, a handy Python package developed in-house.
The data folder contains the data used to run the analyses. Specifically, it containes the parcellated group-average MEG time-series feature matrices from 33 unrelated subjects in HCP. Note that HCP data redistribution must follow their data terms. If you use any of the HCP data, please note that you must register with ConnectomeDB, agree to their terms and sign up for Open Access Data here. Please also cite relevant publications as mentioned here.
The data folder also contains micro-architectural feature maps that were compiled using neurompas, abagen, and BigBrainWarp tools. If you use any of these data, please cite relevant publications as mentioned in their corresponding documentation.
The data folder also contains required files to use and plot brain maps with Schaefer atlas.