Centrality and seed-based correlation maps obtained with functional MRI

Published: 1 March 2022| Version 1 | DOI: 10.17632/w35fvmtnf2.1
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Description

The data set offers individual brain connectivity maps of 48 patients with functional movement disorder (FMD) and 65 healthy controls obtained with functional MRI (Mueller, et al., 2022). For each participant, the data set provides five variants of network centrality maps and two types of seed-based correlation maps using the precuneus and the left temporoparietal junction (TPJ) as seed regions. The data set contains seven zip-files related to seven types of brain connectivity maps (five variants of brain network centrality and two types of seed-based connectivity maps): ‘GCOR.zip’: global correlation; ‘GCOR_no_denoising.zip’: global correlation without using denoising in image pre-processing; ‘ICC.zip’: intrinsic connectivity; ‘ECM_add.zip’: eigenvector centrality with the ‘add’ approach adding one to all correlations; ‘ECM_rlc.zip’: eigenvector centrality with the ‘rlc’ approach using the rectified linear unit filter; ‘SBC_precuneus.zip’: seed-based correlation with precuneus as seed-region; ‘SBC_TPJ.zip’: seed-based correlation with the left TPJ as seed-region; After unzipping the files, there will be seven directories with the same names: ‘GCOR’, ‘GCOR_no_denoising’, ‘ICC’, ‘ECM_add’, ‘ECM_rlc’, ‘SBC_precuneus’, and ‘SBC_TPJ’. Each of the seven directories contains a subdirectory ‘*_data’ containing all the individual centrality/correlation maps in the Neuroimaging Informatics Technology Initiative (NIfTI) file format. Patient maps are named with ‘FPH??_*.nii’ while control subjects are denoted by ‘CSS??_*.nii’ and ’CSZ??_*.nii’. The notation ‘??’ stands for consecutive numbering. Each of the seven directories contains a subdirectory ‘SPM_fullmodel’ including an SPM12 analysis with group comparisons, e. g. the comparison of connectivity between FMD patients with and without FW, or between FW patients and healthy controls. In addition, each of the five centrality directories contains a further subdirectory ‘SPM_corr_SFMDRS’ including an SPM12 analysis for investigating a potential relationship between centrality and disease severity using the simplified FMD rating scale (SFMDRS). All analysis subdirectories contain files of a standard SPM12 analysis including the ‘SPM.mat’. Parameter estimates are shown in the files ‘beta_00??.nii’, T-maps are named with ‘spmT_00??.nii’, and contrast images are named with ‘con_00??.nii’ (‘??’ stands for consecutive numbering). The analysis space (aka ‘brain mask’) is saved in the file ‘mask.nii’. Tables listing all clusters, coordinates, p-, T-, and Z-values for all available contrasts are also saved in the postscript file ‘spm_2022Feb25.ps. Reference: K. Mueller, F. Růžička, M. Slovák, Z. Forejtová, P. Dušek, P. Dušek, R. Jech, T. Serranová, Symptom-severity-related brain connectivity alterations in functional movement disorders, Neuroimage: Clinical (2022), In Press.

Files

Steps to reproduce

Each analysis subdirectory also contains a job file ‘*.m’ that can be used in the SPM12’s batch system. All analyses can be reproduced by using these batch files with SPM12 rev. 7771.

Institutions

Univerzita Karlova

Categories

Neuroscience, Movement Disorder, Neuroimaging, Connectivity Imaging

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