Leipzig Heart Failure Resting-State fMRI
Brain dysconnectivity with heart failure: Centrality and seed-based correlation maps obtained with functional MRI
Resting-state BOLD fMRI of cardiac patients with and without coronary artery disease and heart failure, used to relate brain network centrality to heart function and cognition. Images are shared on request; per-subject connectivity maps are public.
Overview
This entry covers a resting-state functional MRI cohort of 80 patients recruited at the Leipzig Heart Center after presenting with stenocardia or myocardial infarction. Researchers at the Max Planck Institute for Human Cognitive and Brain Sciences used it to test whether heart failure goes along with altered functional brain connectivity and whether that relates to cognitive performance. The same patients were studied earlier with voxel-based morphometry for gray matter density. The scans themselves are available on reasonable request. Mendeley Data hosts, under CC BY 4.0, the per-subject connectivity maps and the SPM12 group analyses.
Composition
All 80 patients (22 women, mean age 54.9 years) were grouped after the fact: 58 had coronary artery disease and 22 did not. Within the coronary artery disease group, 35 met heart failure criteria based on NT-proBNP serum levels, two of whom were dropped from the heart failure group for cerebral lesions, and 20 had low NT-proBNP. Three patients in an intermediate NT-proBNP range were left out of group comparisons. Left ventricular ejection fraction and NT-proBNP were recorded at admission and again at a follow-up visit about 3.5 years later.
Acquisition
Imaging and cognitive testing took place only at the follow-up visit. Each patient had a 10-minute resting-state scan on a 3 T Siemens MAGNETOM Verio with a 32-channel head coil, using gradient-echo EPI with a 2 s repetition time and 300 volumes, plus an MPRAGE T1-weighted image for spatial normalization. Preprocessing used the CONN toolbox and SPM12.
Annotations
The public release holds, per participant, global correlation and eigenvector centrality maps (with variants using a different motion model or high-pass cut-off) and seed-based correlation maps from a precuneus seed. Group models use heart failure status, ejection fraction, NT-proBNP and cognitive performance, with age, sex and body mass index as covariates.
Known limitations
- Only derived connectivity maps are openly available; the functional and structural MRI must be requested, and no terms for them are published.
- Per-subject clinical variables and cognitive scores are not part of the open release.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 80 subjects.
Sex
- Female 22 28%
- Male 58 73%
Materials and methods: Patient cohort in Mueller et al. 2023, Brain Communications (PMC10116577)
Contrast / sequence
Groups can overlap
- BOLD fMRI 80 100%
- T1-weighted 80 100%
Materials and methods: Image acquisition in Mueller et al. 2023, Brain Communications (PMC10116577)
Scanner vendor
- Siemens Healthineers 80 100%
Materials and methods: Image acquisition in Mueller et al. 2023, Brain Communications (PMC10116577)
Field strength
- 3 T 80 100%
Materials and methods: Image acquisition in Mueller et al. 2023, Brain Communications (PMC10116577)
Condition by sex
Reported cross table. A dot marks a cell the source does not give.
| Female | |
|---|---|
| Coronary artery disease | 14 |
Materials and methods: Patient cohort in Mueller et al. 2023, Brain Communications (PMC10116577)
Age
mean 54.9 ± 5.3
No age bins reported.
Materials and methods: Patient cohort in Mueller et al. 2023, Brain Communications (PMC10116577)
Modality
- MRI 80 100%
Materials and methods: Image acquisition in Mueller et al. 2023, Brain Communications (PMC10116577)
Condition
Groups can overlap
- Coronary artery disease 58 73%Age mean 54.6 ± 5.4
- Heart failure 35 44%
Materials and methods: Patient cohort in Mueller et al. 2023, Brain Communications (PMC10116577)
Country
- Germany 80 100%
Materials and methods: Patient cohort in Mueller et al. 2023, Brain Communications (PMC10116577)
License and access
Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer
Ask the authors or the data holder. No published process or terms, and access is at their discretion
The data availability statement of Mueller et al. (2023) says the analysed data are available on reasonable request, with the functional MRI given as anonymized pre-processed NIfTI files. The per-subject connectivity maps (global correlation, eigenvector centrality and precuneus seed-based correlation) and the SPM12 group analyses are an open download on Mendeley Data under CC BY 4.0.
Different parts of the data carry different licenses. The summary on the right shows the most restrictive answer per rule.
Creative Commons Attribution 4.0 International
Use, share and adapt the data for any purpose, including commercial use, as long as you credit the creators.
What you can do
- Yes
- Yes
- Yes
- Yes
- Yes
What you can share
- Yes
- Yes
- Yes
What you must do
- Yes
- Share alike No
- No
- No
- Manuscript review No
- Release code No
- Return results No
- Delete after use No
Limits
- No
- Location limits No
No published license or data use terms
The data holder has published no license and no data use terms. Any use, sharing or commercial right has to be agreed with the data holder, and nothing can be assumed to be allowed. Default copyright and data protection law still apply.
No license or data use terms are stated for the functional MRI data shared on request.
What you can do
- Commercial use Not stated
- Not stated
- Train ML models Not stated
- Create derived data Not stated
- Publish results Not stated
What you can share
- Share the data Not stated
- Share derived data Not stated
- Share trained models Not stated
What you must do
- Cite or credit Not stated
- Share alike Not stated
- Sign an agreement Not stated
- Ethics approval Not stated
- Manuscript review Not stated
- Release code Not stated
- Return results Not stated
- Delete after use Not stated
Limits
- No re-identification Not stated
- Location limits Not stated
Citation
Mueller K, Thiel F, Taskin B, Beutner F, Teren A, Dubovoy VK, Möller HE, Villringer A, Schroeter ML. Brain dysconnectivity with heart failure. Brain Communications 5(2), fcad103 (2023). doi:10.1093/braincomms/fcad103. Data: Mendeley Data, V1 (2022). doi:10.17632/6h782nrb24.1
Sources
Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.