ParkTDI
High-quality diffusion-weighted imaging of Parkinson's disease
High angular resolution diffusion MRI of people with Parkinson's disease and matched controls, with track density maps and clinical scores, for comparing white matter between groups and testing diffusion models. 27 patients and 26 controls from Liège.
Overview
ParkTDI is a small cross-sectional diffusion MRI study of Parkinson's disease from the Cyclotron Research Centre at the University of Liège, released on NITRC in 2014 together with the paper that introduced track density imaging for this disease. It is used to compare white matter microstructure and tractography-derived maps between patients and controls, and as a high angular resolution test set for diffusion modelling.
Composition
The release covers 53 people: 27 non-demented patients with clinically diagnosed Parkinson's disease and 26 healthy controls matched on age, sex and education. The patients were in early stages (mean Hoehn and Yahr stage 1.5, mean disease duration 5 years). Three downloads are offered: the motion-corrected diffusion images, spatially normalized track density maps for all 53 subjects, and a CSV file with demographics, intracranial volume, a motion index, neuropsychological test scores and, for patients, UPDRS parts 2 and 3, Hoehn and Yahr stage, disease duration and levodopa equivalent dose.
Acquisition
All scans come from one 3 T head-only Siemens Magnetom Allegra with an 8-channel head coil. The diffusion sequence used a twice-refocused spin echo with EPI readout, 120 gradient directions at b = 1000 and b = 2500 s/mm², 22 interleaved b = 0 volumes, 2.4 mm isotropic voxels and about 35 minutes of scan time. Patients were scanned on their usual medication. The authors realigned the volumes using the interleaved b = 0 images, split them by shell and averaged the b = 0 images to the front of each 4D NIfTI file, with FSL-style gradient tables alongside. The paper also describes multi-parameter mapping scans, but these are not part of the download.
Known limitations
The cohort is small and comes from a single scanner and site. Subjects with poor image quality were excluded from a larger sample before release. Only preprocessed diffusion data are shared, not the raw scanner output, and no structural T1-weighted images are included. The NITRC page names the license as Attribution Share Alike without a version number.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 53 subjects.
Sex
- Female 25 47%
- Male 28 53%
Sex in PDClinicalData.csv demographics file (CC BY-SA), one row per subject
Contrast / sequence
Groups can overlap
- Diffusion-weighted 53 100%
Scanner vendor
- Siemens Healthineers 53 100%
Imaging data acquisition in Ziegler et al. 2014, NeuroImage
Age
mean 65 ± 7.6, median 65.7, range 47 to 81
Age in PDClinicalData.csv demographics file (CC BY-SA), one row per subject
Condition
Groups can overlap
- Parkinson's disease 27 51%Age mean 66 ± 8
- Healthy control 26 49%Age mean 64 ± 8
Table 1 in Ziegler et al. 2014, NeuroImage
Condition by sex
Reported cross table. A dot marks a cell the source does not give.
| Female | Male | |
|---|---|---|
| Parkinson's disease | 13 | 14 |
| Healthy control | 12 | 14 |
Table 1 in Ziegler et al. 2014, NeuroImage
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
Download without an account
Creative Commons Attribution-ShareAlike 4.0 International
Use, share and adapt for any purpose with credit. Anything you share that is built on the data must use the same license.
The NITRC project page names the license only as "Attribution Share Alike" and gives no version. The rule answers of CC BY-SA 3.0 and 4.0 are the same in this index.
What you can do
- Yes
- Yes
- Yes
- Yes
- Yes
What you can share
- Yes
- Conditional
- Conditional
What you must do
- Yes
- Yes
- No
- No
- Manuscript review No
- Release code No
- Return results No
- Delete after use No
Limits
- No
- Location limits No
Citation
Ziegler E, Rouillard M, André E, Coolen T, Stender J, Balteau E, Phillips C, Garraux G. Mapping track density changes in nigrostriatal and extranigral pathways in Parkinson's disease. NeuroImage 99:498-508 (2014).
@article{ziegler2014,
title={Mapping track density changes in nigrostriatal and extranigral pathways in Parkinson's disease},
author={Ziegler, Erik and Rouillard, Maud and Andr{\'e}, Elodie and Coolen, Tim and Stender, Johan and Balteau, Evelyne and Phillips, Christophe and Garraux, Ga{\"e}tan},
journal={NeuroImage},
volume={99},
pages={498--508},
year={2014},
doi={10.1016/j.neuroimage.2014.06.033}
} 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.