Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
Detecting Alzheimer's disease using digital virtual reality cognitive tests.
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.
Fang Lili, Fan Xiang, Li Anqi, Cai Yue, Sun Pan, Wei Zhuonan, Chen Hui, Yu Keyan, Lan Guoyu, Gonzalez-Ortiz Fernando, Liu Lin, Wang Yiying, He Zhengbo, Zhou Xin, Zhang Laihong, Jiang Mingxing, Chen Lele, Lu Gaigai, Hu Lin, Liu Zhen, Blennow Kaj, Shi Dai, Cheng Guanxun, Guo Tengfei
Аннотация
INTRODUCTION: Digital biomarkers for detecting Alzheimer's disease (AD) remain controversial due to inconsistent accuracy and unclear relationships with AD core biomarkers.
METHODS: This study recruited 428 Chinese older adults to determine the associations of artificial intelligence (AI)-assisted virtual reality (VR) cognitive scores with plasma amyloid beta (Aβ)42/Aβ40, phosphorylated tau (p-tau)217, glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL), Aβ positron emission tomography (PET), tau PET, neurodegeneration, and cognition using generalized linear models, including age, sex, education, and apolipoprotein E ε4 as covariates.
RESULTS: The AI-VR cognitive scores were significantly correlated with plasma Aβ42/Aβ40, p-tau217, GFAP, NfL, Aβ PET, tau PET, hippocampal atrophy, temporal meta-region of interest cortical thinning, and cortical mean diffusivity increases, accurately identifying cognitively impaired patients from unimpaired individuals (area under curve [AUC]: 0.908-0.969) as well as classifying Aβ PET-positive individuals from negative group (AUC: 0.771-0.991).
DISCUSSION: This study comprehensively examined the capacity of a 5-minute AI-VR cognitive test for identifying abnormal cognition and AD biomarkers, offering a reliable digital marker for early AD detection in community settings.
HIGHLIGHTS: Digital virtual-reality cognitive tests correlate with AD biomarkers Digital virtual-reality cognitive tests can identify cognitive impairment Digital virtual-reality cognitive tests can classify those who are amyloid beta positron emission tomography positive from negative.
METHODS: This study recruited 428 Chinese older adults to determine the associations of artificial intelligence (AI)-assisted virtual reality (VR) cognitive scores with plasma amyloid beta (Aβ)42/Aβ40, phosphorylated tau (p-tau)217, glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL), Aβ positron emission tomography (PET), tau PET, neurodegeneration, and cognition using generalized linear models, including age, sex, education, and apolipoprotein E ε4 as covariates.
RESULTS: The AI-VR cognitive scores were significantly correlated with plasma Aβ42/Aβ40, p-tau217, GFAP, NfL, Aβ PET, tau PET, hippocampal atrophy, temporal meta-region of interest cortical thinning, and cortical mean diffusivity increases, accurately identifying cognitively impaired patients from unimpaired individuals (area under curve [AUC]: 0.908-0.969) as well as classifying Aβ PET-positive individuals from negative group (AUC: 0.771-0.991).
DISCUSSION: This study comprehensively examined the capacity of a 5-minute AI-VR cognitive test for identifying abnormal cognition and AD biomarkers, offering a reliable digital marker for early AD detection in community settings.
HIGHLIGHTS: Digital virtual-reality cognitive tests correlate with AD biomarkers Digital virtual-reality cognitive tests can identify cognitive impairment Digital virtual-reality cognitive tests can classify those who are amyloid beta positron emission tomography positive from negative.