The heterogeneity of picture-supported narratives in Alzheimer’s disease
Abstract
This study describes discourse patterns produced by 46 Alzheimer disease (AD) patients and 53 normal elderly subjects in two picture-supported narratives. Nine measures derived from a cognitive model of discourse processing were obtained and submitted to cluster analysis. Results indicate that discourse patterns elicited from both stimuli were heterogeneous. Further, they fail to clearly differentiate between normal aging and AD in half of the AD patients. Discourse patterns are examined in light of various sources of heterogeneity including severity of cognitive impairment, subject characteristics, and task demands. The usefulness of discourse as a diagnostic and therapeutic tool is discussed.
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One reviewed paper describes discourse patterns.
“Outside of those, seven papers are concerned with three or four disease stages [12, 50, 62–66], two explore longitudinal cognitive changes (although still through binary classification) [67, 68], and one describes discourse patterns [69].”
From Artificial Intelligence, Speech, and Language Processing Approaches to Monitoring Alzheimer’s Disease: A Systematic Review (2020) · cites this paper as [69]
Only one reviewed article had a different aim than classification: Duong et al. attempted to describe AD and healthy control discourse patterns through cluster analysis.
“There is only one article with a different aim than classification. This is the study by Duong et al. [69], who attempt to describe AD and HC discourse patterns through cluster analysis.”
From Artificial Intelligence, Speech, and Language Processing Approaches to Monitoring Alzheimer’s Disease: A Systematic Review (2020) · cites this paper as [69]
Most reviewed papers employ supervised learning, except one study that uses cluster analysis.
“Most reviewed papers employ supervised learning, except for a study that uses cluster analysis to investigate distinctive discourse patterns among participants [69].”
From Artificial Intelligence, Speech, and Language Processing Approaches to Monitoring Alzheimer’s Disease: A Systematic Review (2020) · cites this paper as [69]
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“Duong et al. (2005) ran a cluster analysis with data from picture narratives and concluded that, rather than a common profile, there were several discourse patterns that could be indicative of differences between healthy ageing and AD.”
Backgroundde la Fuente Garcia, S., Ritchie, C. W., & Luz, S. (2020) · Journal of Alzheimer's Disease · doi:10.3233/jad-200888 · Cited by 5 · see citing works
- Authors
- Duong, A., Giroux, F., Tardif, A., & Ska, B.
- Affiliations
- Institut Universitaire de Gériatrie de Montréal (CA)
- Université de Montréal (CA)
- Corresponding author
- Duong, Anh
- Venue
- Brain and Language
- Publisher
- Elsevier BV
- Published
- 2005-05
- Volume
- 93
- Issue
- 2
- Pages
- 173-184
- ISSN
- 0093-934X (ISSN-L)
- OpenAlex
- W2097236534
- Cited by
- 53
- References
- 52
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 4 · 2023: 1 · 2022: 2 · 2021: 2 · 2020: 4 · 2019: 5 · 2018: 4 · 2017: 4 · 2016: 2 · 2015: 6 · 2014: 3 · 2013: 1 · 2012: 1
- FWCI
- 0.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain and Language (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Université de Montréal
- 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, discourse patterns, discourse processing, cognitive impairment, normal aging, heterogeneity, diagnostic tools, therapeutic tools
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Association Learning, Female, Humans, Imagination, Male, Neuropsychological Tests, Pattern Recognition, Visual, Psycholinguistics, Reference Values, Semantics, Serial Learning, Speech Perception, Verbal Behavior, Cohort Studies, Comprehension
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