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Open Imaging Index
MRI Brain

FAB4V Stroke Diffusion MRI

Reliability and validity of DTI-based indirect disconnection measures, FAB4V stroke patient subset

Diffusion MRI and FLAIR of first-ever ischemic stroke patients with manual lesion masks, used to test how well healthy-control tractography predicts white matter disconnection. Images are not shared; a lesion overlap map and statistical maps are public.

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Overview

This entry covers the stroke patient MRI behind a 2023 NeuroImage: Clinical study from UMC Utrecht that asked whether white matter disconnection after a focal lesion can be estimated from healthy-control tractography instead of from the patient's own diffusion scan. The authors drew 95 patients from the Functional Architecture of the Brain for Vision (FAB4V) project, compared tool predictions with tractography of the patients' own diffusion data, and applied both to map visual field defects. The patient images are not public. The Mendeley Data record holds only derived results and the tool's code.

Composition

95 adults after a first-ever symptomatic ischemic stroke with an MRI-confirmed lesion and available diffusion data. The paper reports a mean age of 55 years (SD 15) and 67.4 percent men. Lesions were left-sided in 54 percent, right in 41 percent and bilateral in 5 percent. Eleven patients had a stroke-induced visual field defect and 84 had none.

Acquisition

Patients were scanned at Amsterdam UMC and UMC Utrecht between September 2015 and January 2020, 3 weeks to 3 months after the infarct (8 weeks on average). Each session had a FLAIR image and a 3 T diffusion series with b = 1000 s/mm2, 34 volumes at 2 mm isotropic resolution, plus a reversed phase-encoding b = 0 image. The scanner vendor is not stated.

Annotations

Lesions were delineated manually on the patient images and normalized to MNI space. Only the overlap of all 95 normalized lesions is released, together with permutation-based statistical maps that compare patients with and without visual field defects.

Known limitations

  • MRI images and lesion masks are not shared, and no terms for them are published.
  • The healthy-control diffusion data used for the predictions (78 UMC Utrecht volunteers and 173 Human Connectome Project 7 T subjects) are not part of this release.
  • Patient diffusion data has a single complete series, so it is of lower quality than the control data.

Cohort

Aggregate numbers from the sources below. Bars are relative to the 95 subjects.

Age

mean 55 ± 15

No age bins reported.

Table 1 in Smits et al. 2023, NeuroImage Clinical 39:103470

Condition

Groups can overlap

  • Ischemic stroke 95 100%
  • Visual field defect 11 12%

Section 2.2, Section 2.7 in Smits et al. 2023, NeuroImage Clinical 39:103470

Country

  • Netherlands 95 100%

Section 2.2 in Smits et al. 2023, NeuroImage Clinical 39:103470

Contrast / sequence

Groups can overlap

  • Diffusion-weighted 95 100%
  • FLAIR 95 100%

Table 1, Section 2.3 in Smits et al. 2023, NeuroImage Clinical 39:103470

Field strength

  • 3 T 95 100%

Table 1 in Smits et al. 2023, NeuroImage Clinical 39:103470

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
Not shared

The data are not available outside the institution or study that holds them

The MRI images and lesion masks are not released, and the paper gives no route to request them. Mendeley Data holds, under CC BY 4.0, a lesion overlap map of the 95 patients, SnPM statistical maps of the visual field defect analysis and the IDL code of the prediction tool.

Access page

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 MRI images or lesion masks. The CC BY 4.0 license of the Mendeley Data record covers only the released derived maps and code.

Original license text Checked 2026-10-08

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

Smits, A. R., van Zandvoort, M. J. E., Ramsey, N. F., de Haan, E. H. F., & Raemaekers, M. (2023). Reliability and validity of DTI-based indirect disconnection measures. NeuroImage: Clinical, 39, 103470. https://doi.org/10.1016/j.nicl.2023.103470

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.