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

被引:1
|
作者
De Looze, Celine [1 ,2 ]
Dehsarvi, Amir [1 ]
Suleyman, Narin [1 ]
Crosby, Lisa [3 ]
Hernandez, Belinda [2 ]
Coen, Robert F. F. [3 ]
Lawlor, Brian A. A. [3 ,4 ]
Reilly, Richard B. B. [1 ,4 ]
机构
[1] Trinity Coll Dublin, Trinity Ctr Biomed Engn, Sch Engn, Dublin, Ireland
[2] Trinity Coll Dublin, Dept Gerontol, Irish Longitudinal Study Aging, Dublin, Ireland
[3] St James Hosp, Mercers Inst Successful Aging, Dublin, Ireland
[4] Trinity Coll Dublin, Inst Neurosci, Sch Med, Dublin, Ireland
关键词
Alzheimer disease; mild cognitive impairment; cognitive aging; functional neuroimaging; sentence reading; temporal speech features; genetic programming; machine learning; WORKING-MEMORY; ASSOCIATION WORKGROUPS; INDIVIDUAL-DIFFERENCES; DIAGNOSTIC GUIDELINES; NATIONAL INSTITUTE; AGING BRAIN; LANGUAGE; SPEECH; COMPREHENSION; WORD;
D O I
10.2174/1567205019666220805110248
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Overt sentence reading in mild cognitive impairment (MCI) and mild-to-moderate 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.
引用
收藏
页码:606 / 617
页数:12
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