Connected speech features from picture description in Alzheimer's disease: a systematic review
Open accessAbstract
The language changes that occur over the course of Alzheimer’s disease (AD) can impact communication abilities and have profound functional consequences. Picture description tasks can be used to approximate everyday communication abilities of AD patients. As various methods and variables have been studied over the years, current knowledge about the most affected features of AD discourse in the context of picture descriptions is difficult to summarize. This systematic review aims to provide researchers with an overview of the most common areas of impairment in AD discourse as they appear in picture description tasks. Based on the 44 articles fulfilling inclusion criteria, our findings reflect a multidimensional pattern of changes in the production (speech rate), syntactic (length of utterance), lexical (word-frequency and use of pronouns), fluency (repetitions and word-finding difficulties), semantic (information units), and discourse (efficiency) domains. We discuss our findings in the light of current research and point to potential scientific and clinical uses of picture description tasks in the context of AD.
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Initiatives such as the Alzheimer's Disease Imaging Initiative have established best practices for acquisition and preprocessing, and large-scale studies such as the UK Biobank have advanced standardization for diverse MRI techniques.
“Initiatives like the Alzheimer’s disease imaging initiative (ADNI) have established best practices for acquisition and preprocessing, while large-scale studies such as the UK Biobank have advanced standardization for diverse MRI techniques.71–74”
From Review of Artificial Intelligence for Clinical Use in Alzheimer's Disease and Related Dementias (2026) · cites this paper as [74]
The Review protocol and Conclusion sections describe a systematic review of connected speech elicited by picture description, not MRI acquisition or preprocessing. Searches of our copy for ADNI and UK Biobank MRI standardization found no passage addressing either claim. (LLM, conf=0.76)
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- Authors
- Slegers, A., Filiou, R.-P., Montembeault, M., & Brambati, S. M.
- Affiliations
- Institut Universitaire de Gériatrie de Montréal (CA)
- Corresponding author
- Brambati, Simona Maria
- Venue
- Journal of Alzheimer’s Disease
- Publisher
- SAGE Publications
- Published
- 2018-07-30
- Volume
- 65
- Issue
- 2
- Pages
- 519-542
- ISSN
- 1387-2877 (ISSN-L)
- 1875-8908
- OpenAlex
- W2886871786
- Cited by
- 124
- References
- 118
- Citations by year
- 2026: 15 · 2025: 23 · 2024: 21 · 2023: 21 · 2022: 11 · 2021: 17 · 2020: 10 · 2019: 6
- FWCI
- 1.27
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Alzheimer s Disease (publishedVersion, other-oa)
- PubMed (publishedVersion)
- Papyrus : Institutional Repository (Université de Montréal) (submittedVersion)
- Funders
- Canadian Institutes of Health Research
- Natural Sciences and Engineering Research Council of Canada
- Fonds de Recherche du Québec - Santé
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Keywords
- Alzheimer's disease, picture description task
- MeSH terms
- Alzheimer Disease, Humans, Language Disorders, Neuropsychological Tests, Speech
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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