Automated assessment of speech production and prediction of MCI in older adults.


Journal

Applied neuropsychology. Adult
ISSN: 2327-9109
Titre abrégé: Appl Neuropsychol Adult
Pays: United States
ID NLM: 101584082

Informations de publication

Date de publication:
Historique:
pubmed: 31 12 2020
medline: 2 8 2022
entrez: 30 12 2020
Statut: ppublish

Résumé

The population of older adults is growing dramatically and, with it comes increased prevalence of neurological disorders, including Alzheimer's disease (AD). Though existing cognitive screening tests can aid early detection of cognitive decline, these methods are limited in their sensitivity and require trained administrators. The current study sought to determine whether it is possible to identify persons with mild cognitive impairment (MCI) using automated analysis of spontaneous speech. Participants completed a brief neuropsychological test battery and a spontaneous speech task. MCI was classified using established research criteria, and lexical-semantic features were calculated from spontaneous speech. Logistic regression analyses compared the predictive ability of a commonly-used cognitive screening instrument (the Modified Mini Mental Status Exam, 3MS) and speech indices for MCI classification. Testing against constant-only logistic regression models showed that both the 3MS [

Identifiants

pubmed: 33377800
doi: 10.1080/23279095.2020.1864733
pmc: PMC8243401
mid: NIHMS1675533
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1250-1257

Subventions

Organisme : NIA NIH HHS
ID : R01 AG065432
Pays : United States

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Auteurs

Victoria Sanborn (V)

Department of Psychological Sciences, Kent State University, Kent, OH, USA.

Rachel Ostrand (R)

Department of Healthcare and Life Sciences, IBM Research, Yorktown Heights, NY, USA.

Jeffrey Ciesla (J)

Department of Psychological Sciences, Kent State University, Kent, OH, USA.

John Gunstad (J)

Department of Psychological Sciences, Kent State University, Kent, OH, USA.
Brain Health Research Institute, Kent State University, Kent, OH, USA.

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