File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

나승훈

Na, Seung-Hoon
Natural Language Processing Lab
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.endPage 61 -
dc.citation.number 4 -
dc.citation.startPage 52 -
dc.citation.title DEMENTIA AND NEUROCOGNITIVE DISORDERS -
dc.citation.volume 20 -
dc.contributor.author Kim, Ko Woon -
dc.contributor.author Na, Seung-Hoon -
dc.contributor.author Chung, Young-Chul -
dc.contributor.author Shin, Byoung-Soo -
dc.date.accessioned 2025-04-25T15:11:31Z -
dc.date.available 2025-04-25T15:11:31Z -
dc.date.created 2025-04-08 -
dc.date.issued 2021-10 -
dc.description.abstract Background and Purpose: Language dysfunction is a symptom common to patients with Alzheimer's disease (AD). Speech feature analysis may be a patient-friendly screening test for early-stage AD. We aimed to investigate the speech features of amnestic mild cognitive impairment (aMCI) compared to normal controls (NCs).
Methods: Spoken responses to test questions were recorded with a microphone placed 15 cm in front of each participant. Speech samples delivered in response to four spoken test prompts (free speech test, Mini-Mental State Examination [MMSE], picture description test, and sentence repetition test) were obtained from 98 patients with aMCI and 139 NCs. Each recording was transcribed, with speech features noted. The frequency of the ten speech features assessed was evaluated to compare speech abilities between the test groups.
Results: Among the ten speech features, the frequency of pauses (p=0.001) and mumbles (p=0.001) were significantly higher in patients with aMCI than in NCs. Moreover, MMSE score was found to negatively correlate with the frequency of pauses (r=−0.441, p<0.001) and mumbles (r=−0.341, p<0.001).
Conclusions: Frequent pauses and mumbles reflect cognitive decline in aMCI patients in episodic and semantic memory tests. Speech feature analysis may prove to be a speech-based biomarker for screening early-stage cognitive impairment.
-
dc.identifier.bibliographicCitation DEMENTIA AND NEUROCOGNITIVE DISORDERS, v.20, no.4, pp.52 - 61 -
dc.identifier.doi 10.12779/dnd.2021.20.4.52 -
dc.identifier.issn 1738-1495 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/86788 -
dc.language 영어 -
dc.publisher 대한치매학회 -
dc.title.alternative A Comparison of Speech Features between Mild Cognitive Impairment and Healthy Aging Groups -
dc.title A Comparison of Speech Features between Mild Cognitive Impairment and Healthy Aging Groups -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.identifier.kciid ART002773903 -
dc.description.journalRegisteredClass kci -
dc.subject.keywordAuthor Mild Cognitive Impairment -
dc.subject.keywordAuthor Speech Disorders -
dc.subject.keywordAuthor Alzheimer Disease -
dc.subject.keywordAuthor Biomarkers -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.