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MRI Brain

Cerebromicrovascular Disease in Elderly with Diabetes

Brain MRI with arterial spin labeling perfusion, FLAIR and diffusion imaging of older adults with type 2 diabetes and controls, at baseline and two-year follow-up, to study diabetic effects on cerebral vasoregulation. Images are not shared; derived MRI measures are public.

Overview

This entry covers the brain MRI cohort of a single-center, prospective observational study at Beth Israel Deaconess Medical Center in Boston (study GE-79). It examined how type 2 diabetes alters cerebral vasoregulation, perfusion and white matter in older adults, and how this relates to cognition, balance and walking over two years. The MRI images are not part of the public release. PhysioNet hosts, under CC BY 4.0, per-visit summary tables with derived MRI measures, clinical, laboratory, eye, gait and cognitive data, plus ECG and transcranial Doppler recordings.

Composition

The project page reports 69 diabetic and control participants aged 55 to 75 at baseline, of whom 41 completed the two-year follow-up visit. The study protocol planned 60 people with diabetes and 60 controls aged 50 to 85. The released MRI summary table has 77 subjects at the baseline visit (44 diabetic, 33 control) and 44 rows at the two-year visit. Age and sex are listed in the data dictionary but are not columns of the released tables.

Acquisition

MRI was done at baseline and repeated at the two-year visit at 3 Tesla. The protocol names a GE scanner with a quadrature head coil, while the paper PhysioNet asks users to cite gives a GE HDx system. The project page names T1- and T2-weighted imaging, continuous arterial spin labeling perfusion, FLAIR and diffusion tensor imaging. Perfusion was measured at rest and during hyperventilation and CO2 rebreathing. The protocol also lists dual-echo fast spin echo and time-of-flight angiography.

Annotations

The summary tables hold derived values only: regional gray and white matter and CSF volumes in a labelled template, white matter hyperintensity volumes by region, and regional perfusion under the different CO2 conditions.

Known limitations

  • MRI images, segmentations and perfusion maps are not shared, and no terms for them are published.
  • The participant counts differ between the project page (69 at baseline, 41 at follow-up) and the summary table (77 and 44); the release does not explain the gap.
  • The cited paper (Novak et al. 2011) reports 147 participants and does not say how they map onto this release.

Cohort

Aggregate numbers from the sources below. Bars are relative to the 69 subjects.

Condition

Groups can overlap

  • Type 2 diabetes mellitus 44 64%
  • Healthy control 33 48%

columns Visit, Group in GE-79_Summary_Table-Demographics-MRI-Part1.csv (PhysioNet, CC BY 4.0), counted over the Visit 2 rows

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 PhysioNet release holds no MRI images. It contains per-visit tables of derived MRI measures (regional gray and white matter volumes, white matter hyperintensities, regional perfusion), clinical, laboratory and cognitive data, and ECG and transcranial Doppler recordings, all openly downloadable under CC BY 4.0.

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. The CC BY 4.0 license of the PhysioNet project covers only the released tables and physiological recordings.

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

Novak, V., & Quispe, R. (2022). Cerebromicrovascular Disease in Elderly with Diabetes (version 1.0.1). PhysioNet. https://doi.org/10.13026/00bm-0x81

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.