Development of a Speech-based Composite Score for Remotely Quantifying Language Changes in Frontotemporal Dementia.

IF 1.3 4区 医学 Q4 BEHAVIORAL SCIENCES
Jessica Robin, Mengdan Xu, Liam D Kaufman, William Simpson, Stella McCaughey, Nadine Tatton, Charles Wolfus, Michael Ward
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引用次数: 0

Abstract

Background: Changes to speech and language are common symptoms across different subtypes of frontotemporal dementia (FTD). These changes affect the ability to communicate, impacting everyday functions. Accurately assessing these changes may help clinicians to track disease progression and detect response to treatment.

Objective: To determine which aspects of speech show significant change over time and to develop a novel composite score for tracking speech and language decline in individuals with FTD.

Method: We recruited individuals with FTD to complete remote digital speech assessments based on a picture description task. Speech samples were analyzed to derive acoustic and linguistic measures of speech and language, which were tested for longitudinal change over the course of the study and were used to compute a novel composite score.

Results: Thirty-six (16 F, 20 M; M age = 61.3 years) individuals were enrolled in the study, with 27 completing a follow-up assessment 12 months later. We identified eight variables reflecting different aspects of language that showed longitudinal decline in the FTD clinical syndrome subtypes and developed a novel composite score based on these variables. The resulting composite score demonstrated a significant effect of change over time, high test-retest reliability, and a correlation with standard scores on various other speech tasks.

Conclusion: Remote digital speech assessments have the potential to characterize speech and language abilities in individuals with FTD, reducing the burden of clinical assessments while providing a novel measure of speech and language abilities that is sensitive to disease and relevant to everyday function.

开发一种基于语音的复合评分,用于远程量化额颞叶痴呆患者的语言变化。
背景:言语和语言的改变是额颞叶痴呆(FTD)不同亚型的常见症状。这些变化会影响沟通能力,影响日常功能。准确评估这些变化可能有助于临床医生追踪疾病进展并检测对治疗的反应。目的:确定语音的哪些方面随着时间的推移表现出显著的变化,并开发一种新的综合评分来跟踪FTD患者的语音和语言下降。方法:我们招募了FTD患者,以完成基于图片描述任务的远程数字语音评估。对语音样本进行分析,以得出语音和语言的声学和语言学测量,并测试研究过程中的纵向变化,并用于计算新的综合得分。结果:36名(16岁,20岁;Mage=61.3岁)个体被纳入研究,其中27人在12个月后完成了随访评估。我们确定了八个反映语言不同方面的变量,这些变量显示FTD临床综合征亚型的纵向下降,并基于这些变量开发了一种新的综合评分。由此产生的综合得分显示出随时间变化的显著影响、高的重新测试可靠性,以及与各种其他言语任务的标准得分的相关性。结论:远程数字语音评估有可能表征FTD患者的语音和语言能力,减轻临床评估的负担,同时提供一种对疾病敏感并与日常功能相关的语音和言语能力的新测量方法。
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来源期刊
CiteScore
2.40
自引率
7.10%
发文量
68
审稿时长
>12 weeks
期刊介绍: Cognitive and Behavioral Neurology (CBN) is a forum for advances in the neurologic understanding and possible treatment of human disorders that affect thinking, learning, memory, communication, and behavior. As an incubator for innovations in these fields, CBN helps transform theory into practice. The journal serves clinical research, patient care, education, and professional advancement. The journal welcomes contributions from neurology, cognitive neuroscience, neuropsychology, neuropsychiatry, and other relevant fields. The editors particularly encourage review articles (including reviews of clinical practice), experimental and observational case reports, instructional articles for interested students and professionals in other fields, and innovative articles that do not fit neatly into any category. Also welcome are therapeutic trials and other experimental and observational studies, brief reports, first-person accounts of neurologic experiences, position papers, hypotheses, opinion papers, commentaries, historical perspectives, and book reviews.
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