Skip to content
Open Imaging Index
MRI Brain

ParkTDI

High-quality diffusion-weighted imaging of Parkinson's disease

Motion-corrected 120-direction, two-shell diffusion MRI of 27 people with Parkinson's disease and 26 matched controls from Liège, with normalized track density maps and clinical and neuropsychological scores.

Go to dataset Edit Report

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%

Age

mean 65.01± 7.6 · range 47 to 81
0
10
20
25
40-4950-5960-6970-7980-89

Contrast / sequence

subjects, values can overlap

  • Diffusion-weighted 53 100%

Condition

subjects, values can overlap

  • Parkinson's disease 27 51%
  • Healthy control 26 49%

Scanner vendor

subjects

  • Siemens Healthineers 53 100%

Field strength

subjects

  • 3 T 53 100%

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

Access
Open download

Download without an account

Access page

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.

Original license text Version read: 4.0 Checked 2026-10-07

What you can do

  • 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}
}

All numbers

Every number on this page, as stored in stats.csv, with its source.

MeasureBreakdownValueSource
Subjectstotal 53nitrc-parktdi
Subjectscondition=parkinsons 27ziegler2014
Table 1
Subjectscondition=healthy 26ziegler2014
Table 1
Subjectscontrast=dwi 53nitrc-parktdi
Subjectssex=female 25pdclinicaldata
Sex
Subjectssex=male 28pdclinicaldata
Sex
Subjectscondition=parkinsons;sex=male 14ziegler2014
Table 1
Subjectscondition=parkinsons;sex=female 13ziegler2014
Table 1
Subjectscondition=healthy;sex=male 14ziegler2014
Table 1
Subjectscondition=healthy;sex=female 12ziegler2014
Table 1
Subjectsage=40-49 2pdclinicaldata
Age
Subjectsage=50-59 12pdclinicaldata
Age
Subjectsage=60-69 25pdclinicaldata
Age
Subjectsage=70-79 13pdclinicaldata
Age
Subjectsage=80-89 1pdclinicaldata
Age
Subjectsfield_strength=3 53ziegler2014
Imaging data acquisition
Subjectsvendor=siemens
Magnetom Allegra head-only scanner
53ziegler2014
Imaging data acquisition
Mean agetotal 65pdclinicaldata
Age
Age SDtotal 7.6pdclinicaldata
Age
Median agetotal 65.7pdclinicaldata
Age
Minimum agetotal 47pdclinicaldata
Age
Maximum agetotal 81pdclinicaldata
Age
Mean agecondition=healthy 64ziegler2014
Table 1
Age SDcondition=healthy 8ziegler2014
Table 1
Mean agecondition=parkinsons 66ziegler2014
Table 1
Age SDcondition=parkinsons 8ziegler2014
Table 1

Sources

The keys used in the table above.