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[额颞叶变性谱系神经退行性综合征患者连续言语时间变量的初步研究]

[Preliminary study of the temporal variables of continuous speech in patients with neurodegenerative syndromes of the frontotemporal lobar degeneration spectrum].

作者信息

Baqué L, Machuca M J, Santos-Santos M A

机构信息

Universitat Autònoma de Barcelona, Bellaterra (Cerdanyola del Vallés), España.

Hospital de la Santa Creu i Sant Pau / Sant Pau Biomedical Research Institute (IIb Sant Pau), Barcelona, España.

出版信息

Rev Neurol. 2022 Jan 16;74(2):37-47. doi: 10.33588/rn.7402.2021197.

DOI:10.33588/rn.7402.2021197
PMID:35014018
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11500026/
Abstract

INTRODUCTION

Neurodegenerative diseases, especially frontotemporal lobar degeneration and Alzheimer's disease, often lead to impaired language functions, and so speech analysis can provide objective measures with which to classify the different syndromes.

AIM

To study the nature, cognitive correlates and clinical utility of 21 variables related to speech and silence times.

SUBJECTS AND METHODS

Derivation of acoustic variables with Praat in three spontaneous speech tasks conducted in 22 subjects, distributed in six diagnostic groups (five with neurodegenerative diseases + control). A descriptive analysis is performed, with ROC and principal component curves, to study how acoustic variables are related to the different neurodegenerative syndromes and what information they can provide.

RESULTS

Three groups of variables are identified related, respectively, to: a) total number of silent pauses and total duration of the task; b) variability of the phonic groups; and c) variability of the periods of silence. These components correlate differentially with the different syndromes studied.

CONCLUSIONS

Detailed analysis of speech and silence times can provide relevant information for the diagnosis of different neurodegenerative syndromes that are not reflected in traditional neuropsychological assessments. Thus, the total number of silent pauses may be a valuable aid in discriminating patients with lexical access deficits, phonic group parameters seem to reflect motor speech problems, and pause variability is associated with dysexecutive and global impairment.

摘要

引言

神经退行性疾病,尤其是额颞叶变性和阿尔茨海默病,常常导致语言功能受损,因此语音分析能够提供客观指标,用于对不同综合征进行分类。

目的

研究与语音和沉默时间相关的21个变量的性质、认知相关性及临床效用。

对象与方法

运用Praat软件在22名受试者的三项自发言语任务中获取声学变量,这些受试者分属六个诊断组(五个神经退行性疾病组+对照组)。采用描述性分析、ROC曲线和主成分曲线,研究声学变量与不同神经退行性综合征的关系以及它们能提供哪些信息。

结果

确定了三组变量,分别与以下方面相关:a)沉默停顿的总数和任务的总时长;b)语音组的变异性;c)沉默期的变异性。这些成分与所研究的不同综合征有不同程度的相关性。

结论

对语音和沉默时间的详细分析可为不同神经退行性综合征的诊断提供传统神经心理学评估未反映出的相关信息。因此,沉默停顿的总数可能有助于鉴别存在词汇通达缺陷的患者,语音组参数似乎反映了运动性言语问题,而停顿变异性与执行功能障碍和整体功能损害相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39dd/11500026/cf8c29457dea/RN-74-37-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39dd/11500026/68875e615bce/RN-74-37-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39dd/11500026/cf8c29457dea/RN-74-37-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39dd/11500026/68875e615bce/RN-74-37-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39dd/11500026/cf8c29457dea/RN-74-37-g002.jpg

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Automated analysis of lexical features in frontotemporal degeneration.额颞叶变性的词汇特征自动化分析。
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