Computer-based evaluation of Alzheimer’s disease and mild cognitive impairment patients during a picture description task

We present a methodology to automatically evaluate the performance of patients during picture description tasks. Transcriptions and audio recordings of the Cookie Theft picture description task were used. With 25 healthy elderly control (HC) samples and an information coverage measure, we automatica...

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Bibliographic Details
Published in:Alzheimer's & dementia : diagnosis, assessment & disease monitoring assessment & disease monitoring, 2018, Vol.10 (1), p.260-268
Main Authors: Hernández-Domínguez, Laura, Ratté, Sylvie, Sierra-Martínez, Gerardo, Roche-Bergua, Andrés
Format: Article
Language:English
Subjects:
Alzheimer's disease
Alzheimer's disease (AD)
Aphasia
Automatic assessment
Automation
Cognitive & Behavioral Assessment
Cognitive ability
Dementia
Information coverage
Language
Linguistic analysis
Linguistics
Machine learning
Mild cognitive impairment (MCI)
Older people
Patients
Phonetic features
Phonetics
Picture description task
Speech
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Summary:We present a methodology to automatically evaluate the performance of patients during picture description tasks. Transcriptions and audio recordings of the Cookie Theft picture description task were used. With 25 healthy elderly control (HC) samples and an information coverage measure, we automatically generated a population-specific referent. We then assessed 517 transcriptions (257 Alzheimer's disease [AD], 217 HC, and 43 mild cognitively impaired samples) according to their informativeness and pertinence against this referent. We extracted linguistic and phonetic metrics which previous literature correlated to early-stage AD. We trained two learners to distinguish HCs from cognitively impaired individuals. Our measures significantly (P 
ISSN:2352-8729
2352-8729
DOI:10.1016/j.dadm.2018.02.004