Spatially heterogeneous structure-function coupling in haemodynamic and electromagnetic brain networks

This repository contains processing scripts and data in support of the paper:

Liu, Z.-Q., Shafiei, G., Baillet, S., & Misic, B. (2023). Spatially heterogeneous structure-function coupling in haemodynamic and electromagnetic brain networks. NeuroImage, 278, 120276. https://doi.org/10.1016/j.neuroimage.2023.120276

code

The code folder contains all the code used to run the analyses and generate the figures.

• code/script_coupling.py contains the script to reproduce Figure 1 & 2.
• code/script_correlation.py contains the script to reproduce Figure 3 & 4.

All code was written in Python and the required packages can be found in requirements.txt.

data

The data folder contains the data used to run the analyses. The structural and functional brain networks are derived from HCP-YA. All data were parcellated using Schaefer400x7 atlas.

• subj_list.txt contains the list of 33 subjects used in the analysis.
• sc_cons_400_nosubc.npy, sc_avggm_400_nosubc.npy contains the group consensus structural connectivity matrix calculated using a distance-dependent method.
• fc_cons_400.npy contains group average rsfMRI functional connectivity matrix
• dist_400.npy contains Euclidean distance matrix
• megconn_avg_aec-lcmv_*.npy contains group average MEG band-resolved functional connectivity matrices. For preprocessing details, check the original publications from shafiei_megfmrimapping and shafiei_megdynamics.
• Schaefer2018_400Parcels_7Networks.npy contains resting-state network labels.
• archemap_axis_final_wh.npy contains cortical hierarchy annotation derived from The Archetypal Sensorimotor-Association Axis.
• bbw_intensity_profiles_400.npy contains bigbrain intensity profiles derived from BigBrainWarp.
• sc_cplg_rsq_local.npy contains local multivariate coupling derived from code/script_coupling.py.

If you use any of the HCP data, please follow their data terms, register with ConnectomeDB, and cite relevant publications. The data provided in this repository were generated using of a number of excellent open-source tools & resources, please also consider citing the relevant publications: netneurotools, neuromaps, BigBrainWarp, Brainstorm, S-A_ArchetypalAxis, Schaefer atlas.

figures

The figures folder contains the generated raw figures.