Ontology highlight
ABSTRACT: Background
Digital language markers show promise in detecting early cognitive impairment related to Alzheimer's disease (AD), yet their relationship with cerebrospinal fluid (CSF) biomarkers of AD pathology remains unclear mainly due to the lack of data with both CSF and language markers.Objective
This study aims to build links between digital language markers and fluid biomarkers through surrogate CSF biomarkers.Methods
Using NACC clinical data as anchor variables, language makers in the I-CONECT study were linked to NACC CSF data. Surrogate CSF biomarkers were created for I-CONECT subjects using machine learning models from common NACC clinical variables. Correlations assessed associations between CSF and language markers.Results
Lower predicted amyloid-β
SUBMITTER: Pang Y
PROVIDER: S-EPMC12637631 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature