Brain dysconnectivity with heart failure: Centrality and seed-based correlation maps obtained with functional MRI
Description
The data set offers individual brain connectivity maps obtained from 80 patients using functional MRI (Mueller, et al., Brain Communications). For each participant, the data set provides two variants of network centrality maps (GCOR, global correlation; EC, eigenvector centrality) and seed-based correlation maps using the precuneus as seed region. The data set contains four centrality zip-files: (1) GCOR.zip: global correlation; (2) GCOR_Friston24.zip: global correlation with denoising using the Friston24 model instead of six motion parameters (3) GCOR_NewFilt.zip: global correlation with a temporal high-pass filter of 0.01 Hz instead of 0.025 Hz (4) ECM.zip: eigenvector centrality All four centrality zip-files include the following analyses: (a) ANA_fullfact: Full-factorial design including three groups of patients: (1) patients with coronary artery disease (CAD) with heart failure, (2) CAD patients without heart failure, and (3) patients without CAD (b) ANA_onesample_LVEF1: Correlation between centrality and the initial left ventricular ejection fraction (LVEF) (c) ANA_onesample_LVEF2: Correlation between centrality and the follow-up LVEF (d) ANA_onesample_NTproBNP1: Correlation between centrality and the initial value of the N-terminal fragment of the prohormone brain-type natriuretic peptide (NT-proBNP) (e) ANA_onesample_NTproBNP2: Correlation between centrality and the follow-up NT-proBNP ALL models contain age, sex, and body mass index (BMI) as nuisance covariates. In addition, both files GCOR.zip and ECM.zip contain further directories: Analyses are re-calculated using the precuneus gray matter density (GMD) as an additional nuisance covariate (named by the extension "_GMD", i.e. "ANA_onesample_LVEF1_GMD"). Analyses are repeated again using nuisance covariates for cardiovascular risk factors as diabetes mellitus, smoking, systolic and diastolic blood pressure, and the Fazekas score (named by the extension "_cardiorisk", i.e. "ANA_onesample_LVEF1_cardiorisk"). These analyses also contain the total intracranial volume (TIV) as a covariate of no interest. The file corr.zip contains the following seed-based correlation analyses with the precuneus as seed region: (a) ANA_fullfact: Full-factorial design including 2x2 design with the factors "heart failure" and "cognitive performance" (b) ANA_twosample: Two-sample t-test using cognitive performance as continuous variable Both types of analyses are included with and without adding precuneus GMD as an additional nuisance covariate (named by the extension "_GMD", i.e. "ANA_twosample_GMD"). Reference: K. Mueller, F. Thiel, B. Taskin, F. Beutner, A. Teren, V.K. Dubovoy, H.E. Möller, A. Villringer, M.L. Schroeter 2022. Brain dysconnectivity with heart failure, Brain Communications.
Files
Steps to reproduce
ALL analysis subdirectories (ANA_*) 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_2022Oct24.ps’. Analyses can be re-calculated with SPM12 rev 7771 by loading the *.m files into the SPM's batch system (with the "Batch" button in the SPM's menu window, and thereafter the "Load Batch" button in the SPM's batch editor). Please adapt "/add/your/path/here/" in all m-files before loading the m-file in SPM.
Institutions
- Max-Planck-Institut fur Kognitions- und Neurowissenschaften