ArticleJournal of neurology, neurosurgery, and psychiatry2022
Multiple-region grey matter atrophy as a predictor for the development of dementia in a community: the Hisayama Study.
Article in Journal of neurology, neurosurgery, and psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Assessment of Alzheimer's disease-related biomarkers in patients with obstructive sleep apnea: A systematic review and meta-analysis.Frontiers in aging neuroscience · 2022Pooled it
- Network outcome analysis of cognitive function and daily functioning and risk of dementia among adults aged 50 years and older: an 8-year prospective study.European archives of psychiatry and clinical neuroscience · 2026Article
- Grey matter degeneration during multiple sclerosis is linked to activation of neuronal necroptosis by oxidized phosphatidylcholines.Research square · 2026Article
- Real-world walking patterns are associated with regional brain atrophy and white matter lesions in middle-aged and older people: a Watch Walk-UK Biobank study.GeroScience · 2026Article
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- Integration of glymphatic system function and hippocampal radiomics for diagnosis and conversion prediction of Alzheimer's disease.BMC medical imaging · 2026Article
- Accelerated biological aging and brain structural alterations linking air pollution to dementia risk: a prospective cohort study.The journal of nutrition, health & aging · 2026Article
- The CAIDE dementia risk score indicates elevated cognitive risk in late adulthood: a structural and functional neuroimaging study.GeroScience · 2026Article
- Accounting for Exposure Measurement Error in Gridded Air Pollution Estimates in Assessing the Association of PMEnvironmental science & technology · 2026Article
- Risk and protective factors associated with brain grey matter patterns in a population-based cohort of cognitively unimpaired 70 years old.BMC medicine · 2025Article
- Association of Android and Gynoid Fatness With Incident Dementia and Brain Structure.Journal of cachexia, sarcopenia and muscle · 2025Article
- Identification of circadian-sensitive brain structure and its role in cognitive impairment and dementia.BMJ mental health · 2025Article
- Association of sarcopenia with regional brain atrophy and white matter lesions in a general older population: the Hisayama Study.GeroScience · 2025Article
- Influence of intraocular and blood pressure on brain volumes: Observational and Mendelian randomization analyses.iScience · 2024Article
- Video frame interpolation neural network for 3D tomography across different length scales.Nature communications · 2024Article
- Serum Uric Acid Levels Associated with Outcomes of Neurodegenerative Disorders and Brain Health: Findings from the UK Biobank.The journal of nutrition, health & aging · 2024Article
- Process approach as a cognitive biomarker related to gray matter volume in mild cognitive impairment and Alzheimer's disease.BMC neurology · 2024Article
- Association between retinopathy and risk of dementia in a general Japanese population: the Hisayama Study.Scientific reports · 2024Article
- Multiparametric hippocampal signatures for early diagnosis of Alzheimer's disease usingCNS neuroscience & therapeutics · 2024Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo assess the association of regional grey matter atrophy with dementia risk in a general older Japanese population.
methodsWe 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.
resultsDuring 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).
conclusionsOur 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.
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