A Multivariate Analytic Approach to the Differential Diagnosis of Apraxia of Speech
A Multivariate Analytic Approach to the Differential Diagnosis of Apraxia of Speech
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DOI：
10.1044/2017_jslhr-s-16-0443
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发表时间：
2017-12-01
影响因子：
2.6
通讯作者：
Fridriksson, Julius
中科院分区：
文献类型：
--
作者：
Basilakos, Alexandra;Yourganov, Grigori;Fridriksson, Julius
目的：言语失用症（AOS）是中风的结果，经常与失语症同时发生。它的研究受到其知觉评价困难和与共现障碍分离的限制。本研究探讨了分类准确性的几个声学措施的鉴别诊断AOS在中风survivor.Method的样本：57个人（平均年龄= 60.8 +/- 10.4岁; 21名女性，36名男性;平均月卒中后= 54.7 +/- 46）。参与者根据语音/语言测试分组如下：AOS-失语症（n = 20）、仅失语症（n = 24）和卒中控制（n = 13）。归一化成对变异性指数，失真误差的比例，声音开始的时间变异性，和幅度包络调制频谱变量从连接的语音样本。测量组间差异进行了分析，并进入线性判别分析预测诊断classification.Results：样本外的分类准确率的所有措施均超过90%。包络调制频谱变量有最大的影响分类时，所有的措施一起analyzed.Conclusions：本研究有助于努力确定客观的声学措施，可以方便AOS的鉴别诊断。结果表明，这些措施的进一步研究是必要的，以确定AOS诊断的最佳预测因子。
Purpose: Apraxia of speech (AOS) is a consequence of stroke that frequently co-occurs with aphasia. Its study is limited by difficulties with its perceptual evaluation and dissociation from co-occurring impairments. This study examined the classification accuracy of several acoustic measures for the differential diagnosis of AOS in a sample of stroke survivors.Method: Fifty-seven individuals were included (mean age = 60.8 +/- 10.4 years; 21 women, 36 men; mean months poststroke = 54.7 +/- 46). Participants were grouped on the basis of speech/language testing as follows: AOS-Aphasia (n = 20), Aphasia Only (n = 24), and Stroke Control (n = 13). Normalized Pairwise Variability Index, proportion of distortion errors, voice onset time variability, and amplitude envelope modulation spectrum variables were obtained from connected speech samples. Measures were analyzed for group differences and entered into a linear discriminant analysis to predict diagnostic classification.Results: Out-of-sample classification accuracy of all measures was over 90%. The envelope modulation spectrum variables had the greatest impact on classification when all measures were analyzed together.Conclusions: This study contributes to efforts to identify objective acoustic measures that can facilitate the differential diagnosis of AOS. Results suggest that further study of these measures is warranted to determine the best predictors of AOS diagnosis.