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轻度认知障碍和轻度至中度阿尔茨海默病中对话言语时机的认知与结构关联:对早期检测方法的意义

Cognitive and Structural Correlates of Conversational Speech Timing in Mild Cognitive Impairment and Mild-to-Moderate Alzheimer's Disease: Relevance for Early Detection Approaches.

作者信息

De Looze Céline, Dehsarvi Amir, Crosby Lisa, Vourdanou Aisling, Coen Robert F, Lawlor Brian A, Reilly Richard B

机构信息

Trinity Centre for Biomedical Engineering, School of Engineering, Trinity College Dublin, Dublin, Ireland.

Mercer's Institute for Successful Ageing, St James's Hospital, Dublin, Ireland.

出版信息

Front Aging Neurosci. 2021 Apr 27;13:637404. doi: 10.3389/fnagi.2021.637404. eCollection 2021.

Abstract

: Increasing efforts have focused on the establishment of novel biomarkers for the early detection of Alzheimer's disease (AD) and prediction of Mild Cognitive Impairment (MCI)-to-AD conversion. Behavioral changes over the course of healthy ageing, at disease onset and during disease progression, have been recently put forward as promising markers for the detection of MCI and AD. The present study examines whether the temporal characteristics of speech in a collaborative referencing task are associated with cognitive function and the volumes of brain regions involved in speech production and known to be reduced in MCI and AD pathology. We then explore the discriminative ability of the temporal speech measures for the classification of MCI and AD. : Individuals with MCI, mild-to-moderate AD and healthy controls (HCs) underwent a structural MRI scan and a battery of neuropsychological tests. They also engaged in a collaborative referencing task with a caregiver. The associations between the conversational speech timing features, cognitive function (domain-specific) and regional brain volumes were examined by means of linear mixed-effect modeling. Genetic programming was used to explore the discriminative ability of the conversational speech features. : MCI and mild-to-moderate AD are characterized by a general slowness of speech, attributed to slower speech rate and slower turn-taking in conversational settings. The speech characteristics appear to be reflective of episodic, lexico-semantic, executive functioning and visuospatial deficits and underlying volume reductions in frontal, temporal and cerebellar areas. : The implementation of conversational speech timing-based technologies in clinical and community settings may provide additional markers for the early detection of cognitive deficits and structural changes associated with MCI and AD.

摘要

越来越多的努力集中在建立新型生物标志物,用于阿尔茨海默病(AD)的早期检测以及预测轻度认知障碍(MCI)向AD的转化。健康衰老过程中、疾病发作时以及疾病进展过程中的行为变化,最近已被提出作为检测MCI和AD的有前景的标志物。本研究考察在协作指称任务中言语的时间特征是否与认知功能以及参与言语产生且已知在MCI和AD病理中会减少的脑区体积相关。然后我们探索言语时间测量对MCI和AD分类的判别能力。:患有MCI、轻度至中度AD的个体以及健康对照(HCs)接受了结构MRI扫描和一系列神经心理学测试。他们还与一名照料者进行了协作指称任务。通过线性混合效应模型研究对话言语时间特征、认知功能(特定领域)和脑区体积之间的关联。使用遗传编程来探索对话言语特征的判别能力。:MCI和轻度至中度AD的特征是言语普遍迟缓,这归因于对话情境中较慢的语速和较慢的轮流发言。言语特征似乎反映了情景记忆、词汇语义、执行功能和视觉空间缺陷以及额叶、颞叶和小脑区域潜在的体积减少。:在临床和社区环境中实施基于对话言语时间的技术可能为早期检测与MCI和AD相关的认知缺陷和结构变化提供额外的标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a00/8110716/35d032303556/fnagi-13-637404-g0001.jpg

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