Digital markers of motor speech impairments in natural speech of patients with ALS-FTD spectrum disorders

Author:

Shellikeri SanjanaORCID,Cho SunghyeORCID,Ash SharonORCID,Gonzalez-Recober Carmen,McMillan Corey T.,Elman LaurenORCID,Quinn ColinORCID,Amado Defne A.ORCID,Baer Michael,Irwin David JORCID,Massimo LaurenORCID,Olm ChrisORCID,Liberman MarkORCID,Grossman MurrayORCID,Nevler NaomiORCID

Abstract

ABSTRACTBackground and objectivesPatients with ALS-FTD spectrum disorders (ALS-FTSD) have mixed motor and cognitive impairments and require valid and quantitative assessment tools to support diagnosis and tracking of bulbar motor disease. This study aimed to validate a novel automated digital speech tool that analyzes vowel acoustics from natural, connected speech as a marker for impaired articulation due to bulbar motor disease in ALS-FTSD.MethodsWe used an automatic algorithm called Forced Alignment Vowel Extraction (FAVE) to detect spoken vowels and extract vowel acoustics from 1 minute audio-recorded picture descriptions. Using automated acoustic analysis scripts, we derived two articulatory-acoustic measures: vowel space area (VSA, in Bark2) which represents tongue range-of-motion (size), and average second formant slope of vowel trajectories (F2 slope) which represents tongue movement speed. We compared vowel measures between ALS with and without clinically-evident bulbar motor disease (ALS+bulbar vs. ALS-bulbar), behavioral variant frontotemporal dementia (bvFTD) without a motor syndrome, and healthy controls (HC). We correlated impaired vowel measures with bulbar disease severity, estimated by clinical bulbar scores and perceived listener effort, and with MRI cortical thickness of the orobuccal part of the primary motor cortex innervating the tongue (oralPMC). We also tested correlations with respiratory capacity and cognitive impairment.ResultsParticipants were 45 ALS+bulbar (30 males, mean age=61±11), 22 ALS-nonbulbar (11 males, age=62±10), 22 bvFTD (13 males, age=63±7), and 34 HC (14 males, age=69±8). ALS+bulbar had smaller VSA and shallower average F2 slopes than ALS-bulbar (VSA: |d|=0.86,p=0.0088; F2 slope: |d|=0.98,p=0.0054), bvFTD (VSA: |d|=0.67,p=0.043; F2 slope: |d|=1.4,p<0.001), and HC (VSA: |d|=0.73,p=0.024; F2 slope: |d|=1.0,p<0.001). Vowel measures declined with worsening bulbar clinical scores (VSA: R=0.33,p=0.033; F2 slope: R=0.25,p=0.048), and smaller VSA was associated with greater listener effort (R=-0.43,p=0.041). Shallower F2 slopes were related to cortical thinning in oralPMC (R=0.50,p=0.03). Neither vowel measure was associated with respiratory nor cognitive test scores.ConclusionsVowel measures extracted with automatic processing from natural speech are sensitive to bulbar motor disease in ALS-FTD and are robust to cognitive impairment.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3