Data-driven neuropsychological phenotypes in the Baltimore Longitudinal Study of Aging.

ABSTRACT:

Introduction

This study aimed to identify phenotypes of subtle variation in multidomain cognitive performance and examine their longitudinal associations with Alzheimer's disease and related dementias (AD/ADRD) biomarkers and cognitive outcomes.

Methods

Among 1192 cognitively unimpaired (CU) older adults from the Baltimore Longitudinal Study of Aging, latent profile analysis (LPA) identified phenotypes based on baseline patterns of neuropsychological test performance. Mixed-effects and Cox models examined longitudinal differences in cognitive status and AD/ADRD biomarkers (phosphorylated tau-181 [pTau181], amyloid-beta 42/40 ratio [Aβ42/Aβ40], neurofilament light [NfL], and glial fibrillary acidic protein [GFAP]) across phenotypes.

Results

LPA identified the following

SUBMITTER: Terao CM 

PROVIDER: S-EPMC12701369 | biostudies-literature | 2025 Oct-Dec

REPOSITORIES: biostudies-literature