The DOI matches its Crossref record; 35 of the 37 references it cites were found in a registry or an index.
Microlinguistic aspects of the oral narrative in patients with Alzheimer's disease
Open accessAbstract
Background Alzheimer's disease (AD) is characterized by memory loss and cognitive impairment. Phonological, syntactic, semantic and discursive aspects of language may also be affected. Analysis of micro- and macrolinguistic abilities of discourse may assist in diagnosing AD. The aim of this study was to identify changes in the discourse (lexical errors and syntactic index) of AD patients. Methods 121 elderly subjects narrated a story based on a seven-figure picture description. Results Patients with AD presented more word-finding difficulties, revisions and repetitions, and the syntactic index was lower than controls. Conclusion Performance in microlinguistics at the lexical and syntactic levels was lower than expected in participants with AD.
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“Previous research has utilized machine learning approaches to assess dementia based on speech and transcripts of a picture description task [8,19].”
From A Conversational Robot for Older Adults with Alzheimer's Disease (2020) · cites this paper as [8]
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Linguistic Features Identify Alzheimer’s Disease in Narrative Speech
Fraser, K. C., Meltzer, J. A., & Rudzicz, F. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-150520 · Cited by 797
Connected Speech in Neurodegenerative Language Disorders: A Review
Boschi, V., Catricalà, E., Consonni, M., Chesi, C., Moro, A., & Cappa, S. F. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00269 · Cited by 362
On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey
Alberdi, A., Aztiria, A., & Basarab, A. (2016) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2016.06.003 · Cited by 231
Linguistic markers predict onset of Alzheimer's disease
Eyigoz, E., Mathur, S., Santamaria, M., Cecchi, G., & Naylor, M. (2020) · EClinicalMedicine · doi:10.1016/j.eclinm.2020.100583 · Cited by 206
Predicting probable Alzheimer's disease using linguistic deficits and biomarkers
Orimaye, S. O., Wong, J. S.-M., Golden, K. J., Wong, C. P., & Soyiri, I. N. (2017) · BMC Bioinformatics · doi:10.1186/s12859-016-1456-0 · Cited by 158
Metadata
- Authors
- de Lira, J. O., Ortiz, K. Z., Campanha, A. C., Bertolucci, P. H. F., & Minett, T. S. C.
- Affiliations
- Universidade Federal de São Paulo (BR)
- Corresponding author
- de Lira, Juliana Onofre
- Venue
- International Psychogeriatrics
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 23
- Issue
- 3
- Pages
- 404-412
- ISSN
- 1041-6102 (ISSN-L)
- OpenAlex
- W2122474268
- Cited by
- 137
- References
- 37
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 7 · 2023: 7 · 2022: 13 · 2021: 12 · 2020: 14 · 2019: 11 · 2018: 8 · 2017: 11 · 2016: 7 · 2015: 8 · 2014: 8 · 2013: 2 · 2012: 5
- FWCI
- 2.62
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Psychogeriatrics (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- UNIFESP Institutional Repository (Universidade Federal de São Paulo) (submittedVersion)
- 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, oral narrative, lexical errors, word-finding difficulties, discourse analysis, cognitive impairment, language assessment
- MeSH terms
- Aged, Alzheimer Disease, Cross-Sectional Studies, Educational Status, Female, Humans, Male, Psycholinguistics, Semantics, Verbal Behavior, Logistic Models
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