Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2020 Dec;45(4):151-163.
doi: 10.1080/14015439.2019.1687748. Epub 2019 Nov 25.

Acoustic analysis of voice in bulbar amyotrophic lateral sclerosis: a systematic review and meta-analysis of studies

Affiliations
Meta-Analysis

Acoustic analysis of voice in bulbar amyotrophic lateral sclerosis: a systematic review and meta-analysis of studies

Rita Chiaramonte et al. Logoped Phoniatr Vocol. 2020 Dec.

Abstract

Objective: A systematic review and a meta-analysis were performed to identify the main characteristics of voice disturbances in bulbar amyotrophic lateral sclerosis.Materials and Methods: Literature searches with the keywords: "amyotrophic lateral sclerosis" and "dysarthria" and "intelligibility" were conducted in PubMed, EMBASE, Cochrane Library and Web of Science to perform the systematic review about the articulatory disorders and with the keyword "amyotrophic lateral sclerosis" and "voice" to conduct the meta-analysis about the phonetic changes in patients with bulbar ALS.Results: Seven publications met the inclusion criteria and were included in the meta-analysis, twenty-six publications were included in the systematic review. The data within the meta-analysis revealed that several voice parameters including Jitter, Shimmer, Noise to Harmonic Ratio discriminated best between bulbar amyotrophic lateral sclerosis and healthy controls. On the other hand, significant variations of fundamental frequency were not observed.Conclusion: Acoustic analysis of voice and articulatory analysis contributes to identification of the earliest signs of bulbar degeneration and allows the identification of changes in voice parameters for an early detection, for predicting bulbar involvement and the worsening of disease, for targeting specific intervention. Among the voice parameters, Jitter and Shimmer discriminated better bulbar involvement, they are significantly increased in the patients, on the contrary maximum phonation time is significantly worsened. The careful monitoring of speech symptoms improves diagnostic accuracy and the close cooperation of a multidisciplinary team (physicians as otolaryngologist and physiatrist, speech and language therapists, physiotherapist, dietitians, caregivers, the patients, and their relatives) could be essential.

Keywords: Acoustic analysis; diagnosis; speech-language-pathology; voice.

PubMed Disclaimer

LinkOut - more resources