Fully Automatic Speech-Based Analysis of the Semantic Verbal Fluency Task - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue Dementia and Geriatric Cognitive Disorders Année : 2018

Fully Automatic Speech-Based Analysis of the Semantic Verbal Fluency Task

Résumé

Background: Semantic verbal fluency (SVF) tests are routinely used in screening for mild cognitive impairment (MCI). In this task, participants name as many items as possible of a semantic category under a time constraint. Clinicians measure task performance manually by summing the number of correct words and errors. More fine-grained variables add valuable information to clinical assessment, but are time-consuming. Therefore, the aim of this study is to investigate whether automatic analysis of the SVF could provide these as accurate as manual and thus, support qualitative screening of neurocognitive impairment. Methods: SVF data were collected from 95 older people with MCI (n = 47), Alzheimer's or related de-mentias (ADRD; n = 24), and healthy controls (HC; n = 24). All data were annotated manually and automatically with clusters and switches. The obtained metrics were validated using a classifier to distinguish HC, MCI, and ADRD. Results: Automatically extracted clusters and switches were highly correlated (r = 0.9) with manually established values, and performed as well on the classification task separating HC from persons with ADRD (area under curve [AUC] = 0.939) and MCI (AUC = 0.758). Conclusion: The results show that it is possible to automate fine-grained analyses of SVF data for the assessment of cognitive decline.
Fichier principal
Vignette du fichier
DEM_7149_revised_withoutTrackchanges_final.pdf (562.51 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01850408 , version 1 (30-07-2018)

Identifiants

Citer

Alexandra König, Nicklas Linz, Johannes Tröger, Maria Wolters, Jan Alexandersson, et al.. Fully Automatic Speech-Based Analysis of the Semantic Verbal Fluency Task. Dementia and Geriatric Cognitive Disorders, 2018, 45 (3-4), pp.198 - 209. ⟨10.1159/000487852⟩. ⟨hal-01850408⟩
193 Consultations
1306 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More