Voice quality and speech fluency distinguish individuals with Mild Cognitive Impairment from Healthy Controls

Mild Cognitive Impairment (MCI) is a syndrome characterized by cognitive decline greater than expected for an individual's age and education level. This study aims to determine whether voice quality and speech fluency distinguish patients with MCI from healthy individuals to improve diagnosis o...

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Bibliographic Details
Published in:PloS one 2020-07, Vol.15 (7), p.e0236009-e0236009
Main Authors: Themistocleous, Charalambos, Eckerström, Marie, Kokkinakis, Dimitrios
Format: Article
Language:English
Subjects:
Accuracy
Acoustics
Aged
Alzheimer's disease
Biological markers
Biology and Life Sciences
Brain research
Case-Control Studies
Center of gravity
Cognitive ability
Cognitive disorders
Cognitive Dysfunction - epidemiology
Consent
Diagnosis
Diagnostic systems
Dysphonia - physiopathology
Female
General Language Studies and Linguistics
Humans
Identification and classification
Impairment
Incidence
Jämförande språkvetenskap och lingvistik
Language
Language skills
Language Technology (Computational Linguistics)
Male
Medicine and Health Sciences
Memory
Neurosciences
Neurovetenskaper
Observations
Open source software
Physical Sciences
Psychologists
Quality
Social Sciences
Speech
Speech - physiology
Språkteknologi (språkvetenskaplig databehandling)
Sweden - epidemiology
Theft
Voice
Voice Quality - physiology
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Summary:Mild Cognitive Impairment (MCI) is a syndrome characterized by cognitive decline greater than expected for an individual's age and education level. This study aims to determine whether voice quality and speech fluency distinguish patients with MCI from healthy individuals to improve diagnosis of patients with MCI. We analyzed recordings of the Cookie Theft picture description task produced by 26 patients with MCI and 29 healthy controls from Sweden and calculated measures of voice quality and speech fluency. The results show that patients with MCI differ significantly from HC with respect to acoustic aspects of voice quality, namely H1-A3, cepstral peak prominence, center of gravity, and shimmer; and speech fluency, namely articulation rate and averaged speaking time. The method proposed along with the obtainability of connected speech productions can enable quick and easy analysis of speech fluency and voice quality, providing accessible and objective diagnostic markers of patients with MCI.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0236009