Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
Association of imaging-defined brain age with disease severity and adverse outcomes in CADASIL.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Hsu Shao-Lun, Lee Pei-Lin, Chou Kun-Hsien, Kuo Chen-Yuan, Lin Ching-Po, Liao Yi-Chu, Chung Chih-Ping, Lee Yi-Chung
Аннотация
INTRODUCTION: Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is caused by cysteine-altering NOTCH3 variants. We examined whether neuroimaging-defined brain age is altered in CADASIL and its association with disease severity and outcomes.
METHODS: A brain-age prediction model was constructed using magnetic resonance imaging from 1482 healthy individuals and applied to 153 individuals with NOTCH3 variants and 30 controls. Brain age gap (BAG) was calculated as predicted minus chronological age. Associations between BAG, imaging markers, and clinical outcomes were analyzed.
RESULTS: Individuals with NOTCH3 variants exhibited significantly higher BAG than controls. Higher BAG was associated with greater disease severity, neuroimaging markers - most prominently peak width of skeletonized mean diffusivity - and poorer clinical performance. In addition, BAG showed a partial mediation effect in the association between disease stage and cognitive performance.
DISCUSSION: Accelerated brain aging is evident in CADASIL, and the BAG reflects the cumulative microvascular injury burden and may be involved in the pathophysiological pathway linking disease progression to cognitive impairment.
METHODS: A brain-age prediction model was constructed using magnetic resonance imaging from 1482 healthy individuals and applied to 153 individuals with NOTCH3 variants and 30 controls. Brain age gap (BAG) was calculated as predicted minus chronological age. Associations between BAG, imaging markers, and clinical outcomes were analyzed.
RESULTS: Individuals with NOTCH3 variants exhibited significantly higher BAG than controls. Higher BAG was associated with greater disease severity, neuroimaging markers - most prominently peak width of skeletonized mean diffusivity - and poorer clinical performance. In addition, BAG showed a partial mediation effect in the association between disease stage and cognitive performance.
DISCUSSION: Accelerated brain aging is evident in CADASIL, and the BAG reflects the cumulative microvascular injury burden and may be involved in the pathophysiological pathway linking disease progression to cognitive impairment.