Suppr超能文献

轻度认知障碍和轻度至中度阿尔茨海默病中显性句子阅读的结构关联

Structural Correlates of Overt Sentence Reading in Mild Cognitive Impairment and Mild-to-Moderate Alzheimer's Disease.

作者信息

De Looze Céline, Dehsarvi Amir, Suleyman Narin, Crosby Lisa, Hernández Belinda, 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.

Department of Gerontology, The Irish Longitudinal Study on Aging, Trinity College Dublin, Dublin, Ireland.

出版信息

Curr Alzheimer Res. 2022;19(8):606-617. doi: 10.2174/1567205019666220805110248.

Abstract

BACKGROUND

Overt sentence reading in mild cognitive impairment (MCI) and mild-tomoderate Alzheimer's disease (AD) has been associated with slowness of speech, characterized by a higher number of pauses, shorter speech units and slower speech rate and attributed to reduced working memory/ attention and language capacity.

OBJECTIVE

This preliminary case-control study investigates whether the temporal organization of speech is associated with the volume of brain regions involved in overt sentence reading and explores the discriminative ability of temporal speech parameters and standard volumetric MRI measures for the classification of MCI and AD.

METHODS

Individuals with MCI, mild-to-moderate AD, and healthy controls (HC) had a structural MRI scan and read aloud sentences varying in cognitive-linguistic demand (length). The association between speech features and regional brain volumes was examined by linear mixed-effect modeling. Genetic programming was used to explore the discriminative ability of temporal and MRI features.

RESULTS

Longer sentences, slower speech rate, and a higher number of pauses and shorter interpausal units were associated with reduced volumes of the reading network. Speech-based classifiers performed similarly to the MRI-based classifiers for MCI-HC (67% vs. 68%) and slightly better for AD-HC (80% vs. 64%) and AD-MCI (82% vs. 59%). Adding the speech features to the MRI features slightly improved the performance of MRI-based classification for AD-HC and MCI-HC but not HC-MCI.

CONCLUSION

The temporal organization of speech in overt sentence reading reflects underlying volume reductions. It may represent a sensitive marker for early assessment of structural changes and cognitive- linguistic deficits associated with healthy aging, MCI, and AD.

摘要

背景

轻度认知障碍(MCI)和轻度至中度阿尔茨海默病(AD)患者在进行公开句子阅读时,语速会变慢,其特征为停顿次数增多、言语单位变短、语速变缓,这归因于工作记忆/注意力和语言能力的下降。

目的

这项初步的病例对照研究调查了言语的时间组织是否与公开句子阅读所涉及的脑区体积有关,并探讨了言语时间参数和标准体积MRI测量对MCI和AD分类的判别能力。

方法

患有MCI、轻度至中度AD的个体以及健康对照(HC)进行了结构MRI扫描,并大声朗读了认知语言需求(长度)不同的句子。通过线性混合效应模型研究言语特征与区域脑体积之间的关联。使用遗传编程来探索时间和MRI特征的判别能力。

结果

句子越长、语速越慢、停顿次数越多以及停顿间隔单位越短,与阅读网络体积减小有关。基于言语的分类器在区分MCI与HC时的表现与基于MRI的分类器相似(分别为67%和68%),在区分AD与HC时表现稍好(分别为80%和64%),在区分AD与MCI时表现更好(分别为82%和59%)。将言语特征添加到MRI特征中,对基于MRI的AD-HC和MCI-HC分类性能有轻微改善,但对HC-MCI分类无改善。

结论

公开句子阅读中言语的时间组织反映了潜在的体积减小。它可能是早期评估与健康衰老、MCI和AD相关的结构变化和认知语言缺陷的敏感标志物。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验