Bridging Representation Gaps in Big Data: An Alzheimer's Disease Neuroimaging Initiative (ADNI) Investigation

Abstract

Objective Large-scale research consortium studies are increasingly used to help aid in early identification of age-related brain changes and neurodegenerative disease risk. Racial/ethnic minorities (REM) are severely underrepresented in publicly available datasets related to neurodegenerative disease. This is problematic given that the US older adult population will be comprised of 40% REM by 2050. As this population grows more diverse, it is crucial that Alzheimer's disease (AD) risk factors are appropriately characterized and REM are represented in longitudinal research. The purpose of this study was to examine memory, Apolipoprotein E (APOE) status, and hippocampal volume (HV) data among REM participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. Participants and Method We sampled 91 Latinx and Non-Hispanic Black (NHB) ADNI participants, which included 41 controls (CN; 39% Latinx) and 50 individuals with mild cognitive impairment (MCI; 52% Latinx). Measures i)