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Dataset Information

Development of amyloid-negative neuropsychological norms using GAMLSS.


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