唐氏综合征患者无症状和前驱阿尔茨海默病的认知标志物:与脑容量变化的相关性

IF 4 Q1 CLINICAL NEUROLOGY
Javier García-Alba, Elisa M Molanes-López, Pilar Zuluaga, Cristina Bell-Fenellos, Lucía Vaquero, Eva Alfayate, Felipe García, Gloria Mateo, Fernando Modenhauer, José M Galván-Román, Ricardo Bajo, Alberto Fernández
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引用次数: 0

摘要

由于在唐氏综合征(DS)的背景下难以检测认知退化,我们旨在识别这一人群中前驱性阿尔茨海默病(AD)的标志物。方法:62例唐氏综合征患者(年龄在bb0 ~ 45岁之间)分为无症状(ADS)、前驱(PDS)和痴呆(DDS)三组,完成唐氏综合征及其他智力残疾老年人精神障碍剑桥检查、唐氏综合征老年人认知能力检查、智力残疾巴塞罗那测试和磁共振成像扫描。结果:虽然时间取向在组间表现出显著差异,但只有基于言语短期记忆任务(依赖于“线索”回忆)的预测诊断模型才能对88.5%的ADS、75.0%的PDS和95%的DDS个体进行正确分类。DDS组认知能力下降与眶额、内侧颞叶和双侧丘脑脑容量减少密切相关。讨论:神经心理学结果显示,与ADS相比,PDS病例的特点是言语记忆和时间取向明显恶化。这一模式可能是支持临床诊断的关键。亮点:检测前驱痴呆的迹象是唐氏综合征的主要挑战。这种挑战是由于早期认知表现的定义不佳。依赖于“线索”回忆的记忆任务可以发现前驱症状。前驱期也有明显的时间定向障碍。这些认知缺陷先于脑容量变化,只有痴呆患者才会出现这种变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognitive markers for the distinction between asymptomatic and prodromal Alzheimer's disease in Down syndrome: Correlations with volumetric brain changes.

Introduction: Motivated by the difficulties in detecting cognitive deterioration in the context of Down syndrome (DS), we aimed to identify markers of prodromal Alzheimer's disease (AD) in this population.

Methods: Sixty-two participants with DS (age > 45) distributed in three groups (asymptomatic [ADS], prodromal [PDS], and dementia [DDS]) completed the Cambridge Examination for Mental Disorders of Older People with Down's Syndrome and Others with Intellectual Disabilities, Cambridge Cognitive Examination for older adults with Down's Syndrome, and Barcelona Test for Intellectual Disability tests and a magnetic resonance imaging scan.

Results: Although temporal orientation showed significant differences among groups, only a predictive diagnostic model based on verbal short-term memory tasks (relying on "cued" recall) allowed the correct classification of 88.5% of ADS, 75.0% of PDS, and 95% of DDS individuals. Cognitive decline strongly correlated with brain volume reductions in orbitofrontal, medial-temporal, and bilateral thalamus within the DDS group.

Discussion: Neuropsychological results showed that PDS cases were characterized by a significant deterioration of verbal memory and temporal orientation, compared to ADS. This pattern might be crucial to support diagnosis in clinical settings.Highlights: Detecting signs of prodromal dementia is a major challenge in Down syndrome.Such challenge is due to a poor definition of the early cognitive manifestations.Memory tasks relying on "cued" recall allowed the detection of prodromal cases.A pattern of temporal disorientation was also evident in the prodromal phase.These cognitive deficits preceded volumetric brain changes only present in dementia.

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来源期刊
CiteScore
7.80
自引率
7.50%
发文量
101
审稿时长
8 weeks
期刊介绍: Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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