Differentiation of speech in Parkinson’s disease and spinocerebellar degeneration using deep neural networks-Reference-Cited by-同舟云学术

Differentiation of speech in Parkinson’s disease and spinocerebellar degeneration using deep neural networks

Published:2023-11-21 Issue: Volume: Page:
ISSN:0340-5354
Container-title:Journal of Neurology
language:en
Short-container-title:J Neurol

Author:

Eguchi Katsuki^ORCID,Yaguchi Hiroaki,Kudo Ikue,Kimura Ibuki,Nabekura Tomoko,Kumagai Ryuto,Fujita Kenichi,Nakashiro Yuichi,Iida Yuki,Hamada Shinsuke,Honma Sanae,Takei Asako,Moriwaka Fumio,Yabe Ichiro

Funder

Japan Society for the Promotion of Science

Publisher

Springer Science and Business Media LLC

Subject

Neurology (clinical),Neurology

Link

https://link.springer.com/content/pdf/10.1007/s00415-023-12091-5.pdf

Reference27 articles.

1. Darley FL, Aronson AE, Brown JR (1969) Differential diagnostic patterns of dysarthria. J Speech Hear Res 12:246–269. https://doi.org/10.1044/jshr.1202.246

2. Ackermann H (2008) Cerebellar contributions to speech production and speech perception: psycholinguistic and neurobiological perspectives. Trends Neurosci 31:265–272. https://doi.org/10.1016/j.tins.2008.02.011

3. Schmitz-Hübsch T, Eckert O, Schlegel U, Klockgether T, Skodda S (2012) Instability of syllable repetition in patients with spinocerebellar ataxia and Parkinson’s disease. Mov Disord 27:316–319. https://doi.org/10.1002/mds.24030

4. Rusz J, Tykalová T, Salerno G, Bancone S, Scarpelli J, Pellecchia MT (2019) Distinctive speech signature in cerebellar and parkinsonian subtypes of multiple system atrophy. J Neurol 266:1394–1404. https://doi.org/10.1007/s00415-019-09271-7

5. Idrisoglu A, Dallora AL, Anderberg P, Berglund JS (2023) Applied machine learning techniques to diagnose voice-affecting conditions and disorders: systematic literature review. J Med Internet Res 19:e46105. https://doi.org/10.2196/46105