About the dataset

Primary description: Aging in Latino elders

The Health & Aging Brain Study – Healthy Disparities (HABS-HD) is a study comprised of 1705 community-dwelling Mexican American and non-Hispanic White adults aged 50 and older. The primary goal being to enhance the representation of this population in aging and Alzheimer’s research. Subjects underwent neuropsychological testing, clinical lab measures, and obtained both MRI and amyloid and tau PET scans. Data is available via [https://apps.unthsc.edu/itr/our]
Study Health & Aging Brain Study - Health Disparities
Study Website HABS-HD (HABLE)
Data Descriptor Paper https://pmc.ncbi.nlm.nih.gov/articles/PMC8215806/#sec27
DUA https://ida.loni.usc.edu/collaboration/access/appLicense.jsp. If the website doesn't work, search Google for "HABS_HD Data Use Agreement".
Country/Region USA
Disease Tag alzheimers;aging
Age (mean ± SD)
(Baseline)
65.2 ± 8.7
Age Range
(Baseline)
50-93
% Female 62.5
CUBIC Project /cbica/projects/Public_Studies
PI for CUBIC Access Approval Christos Davatzikos
N Subjects 4160
N MR Sessions 6353
Diagnoses
AD
Value V01 V02 V03 V04 V05
CN 2173 795 165
MCI 548 135 35
AD 190 45 6
nan 2 400 231 36 1
DLMUSE (v1.0.7)
(5724/5724 complete)
/cbica/projects/Public_Studies/HABLE/Pipelines/HABLE_DLMUSE_2025/Results/DLMUSE_Volumes.csv
RAVENS (DRAMMS-1.4.1)
(6534/6534 complete)
/cbica/projects/Public_Studies/HABLE/Pipelines/HABLE_3.5D_DLICV_MASK_2024/Protocols/RAVENS
Non-Imaging Data
/cbica/projects/ISTAGING/Pipelines/ClinicalDataConsolidation_201911/Data/External_Data/HABS-HD

Raw data downloaded from source.

https://atri-biostats.github.io/HABSHD/reference/index.html

Data dictionary of raw data downloaded from source.

/cbica/home/harmang/for_others/final_combined_istaging_withMUSE.csv

Data consolidated and harmonized in 2026.

This study: subset with df[df.Study == 'HABLE']


Funding
The study was supported by the National Institute on Aging of the National Institutes of Health under Award Numbers R01AG054073 and R01AG058533. This work was also supported in part by NIH/National Institute of Biomedical Imaging and Bioengineering award P41‐EB015992.