Automated assessment of speech production and prediction of MCI in older adults.
Automated assessment of speech production and prediction of MCI in older adults.
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DOI：
10.1080/23279095.2020.1864733
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发表时间：
2022-09
期刊：
影响因子：
--
通讯作者：
Gunstad J
中科院分区：
文献类型：
--
作者：
Sanborn V;Ostrand R;Ciesla J;Gunstad J
老年人口正在急剧增长，随之而来的是神经系统疾病的患病率增加，包括阿尔茨海默病（AD）。虽然现有的认知筛查测试可以帮助早期发现认知能力下降，但这些方法的灵敏度有限，需要训练有素的管理人员。目前的研究试图确定是否有可能通过自动分析自发言语来识别轻度认知障碍（MCI）患者。参与者完成了一个简短的神经心理学测试和一个自发的演讲任务。使用既定的研究标准对MCI进行分类，并从自发语音中计算词汇语义特征。Logistic回归分析比较了常用认知筛查工具（改良迷你精神状态测验，3MS）和言语指标对MCI分类的预测能力。对纯常数logistic回归模型的检验表明，3MS [χ2(1)=6.18, p=0.013；AIC=41.46]和言语指标[χ2(16)=32.42, p= 0.009；AIC=108.41]能够预测MCI状态。后续测试显示，完整语音模型比3MS模型更能预测MCI状态（p= 0.049）。综上所述，目前的研究结果表明，自发言语可能作为识别认知缺陷的潜在筛查措施具有价值，尽管需要在更大规模的前瞻性研究中得到证实。
The population of older adults is growing dramatically and, with it comes increased prevalence of neurological disorders, including Alzheimer’s disease (AD). Though existing cognitive screening tests can aid early detection of cognitive decline, these methods are limited in their sensitivity and require trained administrators. The current study sought to determine whether it is possible to identify persons with mild cognitive impairment (MCI) using automated analysis of spontaneous speech. Participants completed a brief neuropsychological test battery and a spontaneous speech task. MCI was classified using established research criteria, and lexical-semantic features were calculated from spontaneous speech. Logistic regression analyses compared the predictive ability of a commonly-used cognitive screening instrument (the Modified Mini Mental Status Exam, 3MS) and speech indices for MCI classification. Testing against constant-only logistic regression models showed that both the 3MS [χ2(1)=6.18, p=0.013; AIC=41.46] and speech indices [χ2(16)=32.42, p= 0.009; AIC=108.41] were able to predict MCI status. Follow-up testing revealed the full speech model better predicted MCI status than did 3MS (p=.049). In combination, the current findings suggest that spontaneous speech may have value as a potential screening measure for identification of cognitive deficits, though confirmation is needed in larger, prospective studies.
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影响因子：
2.1
作者：
Bradford A;Kunik ME;Schulz P;Williams SP;Singh H
通讯作者：
Singh H
影响因子：
2.2
作者：
Ardila, A;Rosselli, M
通讯作者：
Rosselli, M
影响因子：
14
作者：
通讯作者：
--
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y
影响因子：
4.6
作者：
Cohen, Alex S.;Mitchell, Kyle R.;Horan, William P.
通讯作者：
Horan, William P.