Distinguishable features of spontaneous speech in Alzheimer's clinical syndrome and healthy controls.
Alzheimer’s clinical syndrome
Alzheimer’s disease (AD)
Spontaneous speech
machine learning
Journal
Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition
ISSN: 1744-4128
Titre abrégé: Neuropsychol Dev Cogn B Aging Neuropsychol Cogn
Pays: United States
ID NLM: 9614434
Informations de publication
Date de publication:
05 Jun 2023
05 Jun 2023
Historique:
pmc-release:
05
12
2024
medline:
5
6
2023
pubmed:
5
6
2023
entrez:
5
6
2023
Statut:
aheadofprint
Résumé
There is growing evidence that subtle changes in spontaneous speech may reflect early pathological changes in cognitive function. Recent work has found that lexical-semantic features of spontaneous speech predict cognitive dysfunction in individuals with mild cognitive impairment (MCI). The current study assessed whether Ostrand and Gunstad's (OG) lexical-semantic features extend to predicting cognitive status in a sample of individuals with Alzheimer's clinical syndrome (ACS) and healthy controls. Four additional (New) speech indices shown to be important in language processing research were also explored in this sample to extend prior work. Speech transcripts of the Cookie Theft Task from 81 individuals with ACS (M
Identifiants
pubmed: 37272884
doi: 10.1080/13825585.2023.2221020
pmc: PMC10696129
mid: NIHMS1906258
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1-12Subventions
Organisme : NIA NIH HHS
ID : P50 AG005133
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG065432
Pays : United States
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