Multiple-region grey matter atrophy as a predictor for the development of dementia in a community: the Hisayama Study

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10 Citations (Scopus)

Abstract

Objective: To assess the association of regional grey matter atrophy with dementia risk in a general older Japanese population. Methods: We followed 1158 dementia-free Japanese residents aged ≥65 years for 5.0 years. Regional grey matter volume (GMV) at baseline was estimated by applying voxel-based morphometry methods. The GMV-to- total brain volume ratio (GMV/TBV) was calculated, and its association with dementia risk was estimated using Cox proportional hazard models. We assessed whether the predictive ability of a model based on known dementia risk factors could be improved by adding the total number of regions with grey matter atrophy among dementia-related brain regions, where the cut-off value for grey matter atrophy in each region was determined by receiver operating characteristic curves. Results: During the follow-up, 113 participants developed all-cause dementia, including 83 with Alzheimer's disease (AD). Lower GMV/TBV of the medial temporal lobe, insula, hippocampus and amygdala were significantly/marginally associated with higher risk of all-cause dementia and AD (all p for trend ≤0.08). The risks of all-cause dementia and AD increased significantly with increasing total number of brain regions exhibiting grey matter atrophy (both p for trend <0.01). Adding the total number of regions with grey matter atrophy into a model consisting of known risk factors significantly improved the predictive ability for AD (Harrell's c-statistics: 0.765.0.802; p=0.02). Conclusions: Our findings suggest that the total number of regions with grey matter atrophy among the medial temporal lobe, insula, hippocampus and amygdala is a significant predictor for developing dementia, especially AD, in the general older population.

Original languageEnglish
Pages (from-to)263-271
Number of pages9
JournalJournal of Neurology, Neurosurgery and Psychiatry
Volume93
Issue number3
DOIs
Publication statusPublished - Mar 2022

All Science Journal Classification (ASJC) codes

  • Surgery
  • Clinical Neurology
  • Psychiatry and Mental health

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