HAI Book 2025 - Flipbook - Page 571
Schwarz, Christopher
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A large public release of PIB PET and MRI from the Mayo Clinic Study
of Aging
Christopher G. Schwarz1, Walter K. Kremers1, Carl M. Prakaashana1, Scott A. Przybelski1, Luke
R. Christenson1, Josie M. Williams1, Jeffrey L. Gunter1, Matthew L. Senjem1, Arvin Arani1,
Robert I. Reid1, Mary M. Machulda1, Julie A. Fields1, Val J. Lowe1, Kejal Kantarci1, Jonathan
Graff-Radford1, Prashanthi Vemuri1, Ronald C. Petersen1, David S. Knopman1, Clifford R. Jack1
1
Mayo Clinic, Rochester, MN, US
Background: The Mayo Clinic Study of Aging (MCSA) is a longitudinal, population-based study of residents of
Olmsted County, Minnesota, USA. MCSA is releasing de-identified clinical and imaging data on GAAIN.org to
benefit the research community.
Methods: For our initial release in April 2024, we selected the first imaging visit with 3T GE MRI scanners and
concurrent amyloid (PiB) PET from imaging participants 50-90 years of age (average 70.7y). We included 3D T1weighted, T2-weighted FLAIR, diffusion MRI, and numeric SUVR and Centiloid values from PiB PET.
We also included longitudinal clinical data from all MCSA participants 30-90 years of age (average 70.0y) through
the first 15 years of the study. Clinical data includes age, sex, self-reported race/ethnicity, APoE4 allele status,
cognitive impairment status (normal, MCI, dementia, or other), height, weight, blood pressure, multi-domain
neuropsychological scores, neuroimaging summary measurements, medications, cardiovascular risk factors,
social activity, sleep, mood/anxiety, functional measures, and more. All images are released in DICOM format after
de-identification with CTP and de-facing with mri_reface to further protect participants9 privacy, and all de-faced
images were visually inspected by a trained data scientist for quality assurance.
Results: Our initial public data release includes clinical data from 5925 unique participants from the Mayo Clinic
Study of Aging (MCSA), each ranging from 1-12 visits at roughly 15-month intervals. 1802 of these participants
included MR images and PiB PET SUVR+Centiloid values. De-faced DICOM for 1792 accompanying PiB PET studies
(4-frame dynamic, late-uptake, smoothed for harmonization) have now been added, and follow-up scans are
coming soon. Demographic summaries are given in Table 1.
Discussion: This large, richly characterized, de-identified clinical and imaging dataset is available to the research
community at https://www.gaaindata.org/partner/MCSA, and it is suitable for a wide range of research uses.
Additional data will be released over time, including longitudinal follow-up imaging.
HAI2025 - 571
