Toolkit to Examine Lifelike Language v.2.0: Optimizing Speech Biomarkers of Neurodegeneration.

IF 2.2 4区医学 Q3 CLINICAL NEUROLOGY Dementia and Geriatric Cognitive Disorders Pub Date : 2024-09-30 DOI:10.1159/000541581

Adolfo M García, Franco J Ferrante, Gonzalo Pérez, Joaquín Ponferrada, Alejandro Sosa Welford, Nicolás Pelella, Matías Caccia, Laouen Mayal Louan Belloli, Cecilia Calcaterra, Catalina González Santibáñez, Raúl Echegoyen, Mariano Javier Cerrutti, Fernando Johann, Eugenia Hesse, Facundo Carrillo

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Abstract

Introduction: The Toolkit to Examine Lifelike Language (TELL) is a web-based application providing speech biomarkers of neurodegeneration. After deployment of TELL v.1.0 in over 20 sites, we now introduce TELL v.2.0.

Methods: First, we describe the app's usability features, including functions for collecting and processing data onsite, offline, and via videoconference. Second, we summarize its clinical survey, tapping on relevant habits (e.g., smoking, sleep) alongside linguistic predictors of performance (language history, use, proficiency, and difficulties). Third, we detail TELL's speech-based assessments, each combining strategic tasks and features capturing diagnostically relevant domains (motor function, semantic memory, episodic memory, and emotional processing). Fourth, we specify the app's new data analysis, visualization, and download options. Finally, we list core challenges and opportunities for development.

Results: Overall, TELL v.2.0 offers scalable, objective, and multidimensional insights for the field.

Conclusion: Through its technical and scientific breakthroughs, this tool can enhance disease detection, phenotyping, and monitoring.

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检查逼真语言工具包（TELL）v.2.0：优化神经变性的语音生物标记。

简介栩栩如生语言检查工具包（TELL）是一款基于网络的应用程序，提供神经变性的语音生物标记。在 20 多个网站部署了 TELL v.1.0 之后，我们现在介绍 TELL v.2.0.Methods：首先，我们介绍了该应用程序的可用性特点，包括现场、离线和通过视频会议收集和处理数据的功能。其次，我们总结了其临床调查，对相关习惯（如吸烟、睡眠）和语言表达预测因素（语言历史、使用、熟练程度和困难）进行了调查。第三，我们详细介绍了 TELL 基于语音的评估，每项评估都结合了策略任务和功能，可捕捉诊断相关的领域（运动功能、语义记忆、外显记忆和情绪处理）。第四，我们具体介绍了该应用程序的新数据分析、可视化和下载选项。最后，我们列出了核心挑战和发展机遇：总体而言，通过技术和科学上的突破，TELL v.2.0 为该领域提供了可扩展、客观和多维度的见解：结论：这一工具可以加强疾病检测、表型分析和监测。

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来源期刊

Dementia and Geriatric Cognitive Disorders 医学-精神病学

CiteScore

4.70

自引率

0.00%

发文量

审稿时长

2 months

期刊介绍： As a unique forum devoted exclusively to the study of cognitive dysfunction, ''Dementia and Geriatric Cognitive Disorders'' concentrates on Alzheimer’s and Parkinson’s disease, Huntington’s chorea and other neurodegenerative diseases. The journal draws from diverse related research disciplines such as psychogeriatrics, neuropsychology, clinical neurology, morphology, physiology, genetic molecular biology, pathology, biochemistry, immunology, pharmacology and pharmaceutics. Strong emphasis is placed on the publication of research findings from animal studies which are complemented by clinical and therapeutic experience to give an overall appreciation of the field.