Ontology highlight
ABSTRACT: Introduction
Recent research has suggested increased sensitivity of Alzheimer's disease (AD)-negative neuropsychological norms; concurrently, generalized additive models for location, scale, and shape (GAMLSS) have emerged as a promising alternative to traditional norming approaches. Here, we developed amyloid β-negative (Aβ-) next-generation norms (NGN) for a comprehensive neuropsychological battery using GAMLSS.Methods
We included N = 987 cognitively normal (CN) individuals from a Spanish multicenter study with extensive neuropsychological data and cerebrospinal fluid AD biomarker assessment. NGN were developed using GAMLSS based on the performance of n = 774 Aβ- CN individuals aged 30-90 years.Results
Age-, education-, and sex-adjusted z-scor
SUBMITTER: Rubio-Guerra S
PROVIDER: S-EPMC12689457 | biostudies-literature | 2025 Oct-Dec
REPOSITORIES: biostudies-literature