Personalizing progressive changes to brain structure in Alzheimer's disease using normative modeling.

ABSTRACT:

Introduction

Neuroanatomical normative modeling captures individual variability in Alzheimer's disease (AD). Here we used normative modeling to track individuals' disease progression in people with mild cognitive impairment (MCI) and patients with AD.

Methods

Cortical and subcortical normative models were generated using healthy controls (n ≈ 58k). These models were used to calculate regional z scores in 3233 T1-weighted magnetic resonance imaging time-series scans from 1181 participants. Regions with z scores < -1.96 were classified as outliers mapped on the brain and summarized by total outlier count (tOC).

Results

tOC increased in AD and in people with MCI who converted to AD and also correlated with multiple non-imaging markers. Moreover, a higher annual rate of c

SUBMITTER: Verdi S 

PROVIDER: S-EPMC11633367 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature