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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
Cites
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
Intraclass correlations: Uses in assessing rater reliability.
Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 24,532
Toward a model of text comprehension and production.
Kintsch, W., & van Dijk, T. A. (1978) · Psychological Review · doi:10.1037/0033-295x.85.5.363 · Cited by 5,298
A theory of lexical access in speech production
Levelt, W. J. M., Roelofs, A., & Meyer, A. S. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x99001776 · Cited by 5,295
Linguistic complexity: locality of syntactic dependencies
Gibson, E. (1998) · Cognition · doi:10.1016/s0010-0277(98)00034-1 · Cited by 2,537
Sugestões para o uso do mini-exame do estado mental no Brasil
Brucki, S. M. D., Nitríni, R., Caramelli, P., Bertolucci, P. H. F., & Okamoto, I. H. (2003) · Arquivos de Neuro-Psiquiatria · doi:10.1590/s0004-282x2003000500014 · Cited by 2,236
Self-citationPsychology of Learning and Motivation
Bower, G. H. (1975) · Cited by 1,839
The prevalence of dementia: A quantitative integration of the literature
Jorm, A. F., Korten, A. E., & Henderson, A. S. (1987) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.1987.tb02906.x · Cited by 1,301
The Analysis of Sentence Production
Garrett, M. F. (1975) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/s0079-7421(08)60270-4 · Cited by 1,018
Sociolinguistics : the essential readings
Paulston, C. B., & Tucker, G. R. (2003) · Cited by 355
Cited by
Sorted by citations
Items 101–137 of 137
Simon, V., & Rousseau, T. (2014) · NPG. Neurologie, psychiatrie, gériatrie/NPG · doi:10.1016/j.npg.2014.10.008 · Cited by 1
Intervención en un paciente con Enfermedad de Alzheimer: anomia léxica
Sánchez, A. B., Dumitrache, C. G., Calet, N., & Santos, M. D. L. (2016) · Revista de Investigación en Logopedia · doi:10.5209/rlog.58555 · Cited by 1
Recent Research Trends in Dementia Discourse : Tasks, Transcription and Measures
Kim, B. S., & Kim, H. (2015) · The Journal of the Korea Contents Association · doi:10.5392/jkca.2015.15.09.351 · Cited by 1
Intensive naming training for low-educated demented and non-demented elderly
Ferreira, A. C. D. S., Silva, A. A., Paiva, L. R., Satler, C. E., & Cera, M. L. (2020) · Dementia & Neuropsychologia · doi:10.1590/1980-57642020dn14-040011 · Cited by 1
Liu, B. (2025) · Journal of Speech Language and Hearing Research · doi:10.1044/2025_jslhr-24-00602 · Cited by 1
Study protocol: Language profile in mild cognitive impairment: A prospective study.
Khatoonabadi, A. R., & Masumi, J. (2019) · PubMed Central · doi:10.34171/mjiri.33.53 · Cited by 1
Eaton, S. (2019) · Journal of International Crisis and Risk Communication Research · Cited by 1
Spoken discourse in Alzheimer' disease: a review
Ahmed, S., & Garrard, P. (2012) · Linguistica · doi:10.4312/linguistica.52.1.9-25 · Cited by 3
de Paula, E. A. (2016) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.5.2016.tde-06122016-160738 · Cited by 1
Automatic Text and Speech Processing for the Detection of Dementia
Fraser, K. (2016) · TSpace (University of Toronto) · Cited by 1
Disfluency patterns in Alzheimer’s disease and Frontotemporal lobar degenerationPreprint
Pistono, A., Pariente, J., & Jucla, M. (2022) · doi:10.31234/osf.io/bj2gp · Cited by 1
Gamm, K. N. (2014) · UKnowledge (University of Kentucky)
Auditory and Visual Cues for Topic Maintenance with Persons Who Exhibit Dementia of Alzheimer’s Type
Teten, A. F., Dagenais, P. A., & Friehe, M. J. (2015) · International Journal of Alzheimer s Disease · doi:10.1155/2015/126064
Jerônimo, G. M. (2016) · Americanae (AECID Library)
Multilevel Discourse Processing Analyses in Adults with a Cognitive Impairment
Kintz, S. (2016) · The Scholarship East Carolina University's Institutional Repository (East Carolina University)
Jerônimo, G. M., & Hübner, L. C. (2014)
Language Rehabilitation in Alzheimer's Disease-Verbal Fluency Clusters
Giacominelli, C., Bezerra, S. T., Barcelos, L. B., Pereira, F. H., & Bertolucci, P. H. F. (2017) · Journal of Novel Physiotherapies · doi:10.4172/2165-7025.1000373
Self-citationEarly detection and characterization of Alzheimer’s using medical image analysis
Arabi, P. M., Deepa, V., Susheel, D., & Shriram (2018) · AIP conference proceedings · doi:10.1063/1.5078991
dos Santos, L. B. (2020) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.55.2020.tde-05022020-155847
Interaction and Language Assessment in Aphasia and Dementia : A Comparative Perspective
Myrberg, K. (2022) · Linköping University medical dissertations · doi:10.3384/9789179292416
Jee, S. G., & Rai, A. (2020) · Alzheimer s Research & Therapy Open Access · doi:10.23880/artoa-16000110
Reusing clinical data to improve health care: challenge accepted!
Wiegersma, S. (2022) · doi:10.3990/1.9789036554718
Pragmatic Knowledge in Alzheimer's Disease
Can, E., & Kuruoğlu, G. (2022) · Psycholinguistics in a Modern World · doi:10.31470/2706-7904-2022-17-41-47
Improving Communication with People Living with Dementia: A Socio-Cognitive Approach
Brandão, L., de Lira, J. O., & Freitas, M. I. D. (2023) · Springer eBooks · doi:10.1007/978-3-031-45190-4_23 · Cited by 1
Tefera, E., de Souza, H. B. D., Blewitt, C. O., Mansoor, A., Peters, H., Teerawanichpol, P., Henin, S. E., Barr, W., Johnson, S. B., & Liu, A. A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.23.609193 · Cited by 1
Structural Cerebral Correlates of Perplexity: Exploring a Linguistic Marker in Cognitive Aging
Wang, X., Herold, C. J., Frankenberg, C., Ablimit, A., Schultz, T., Kong, L., & Schröder, J. (2025) · PsyCh Journal · doi:10.1002/pchj.70010
Language of Individuals With Dementia of the Alzheimer's Type
Manouilidou, C. (2025) · Elsevier eBooks · doi:10.1016/b978-0-323-95504-1.00591-3
Language in Alzheimer’s disease
Pistono, A., Tran, T. M., & Lefèbvre, L. (2025) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198888482.013.0012
Shin, S. (2026) · Audiology and Speech Research · doi:10.21848/asr.250222
Irklı, E. B., & Balo, S. S. (2026) · Applied Neuropsychology Adult · doi:10.1080/23279095.2026.2691093
DeMention: A Modular System for Speech-Based Alzheimer's Dementia Screening
Behrendt, J., Brauße, E., Rammohan, R. A., & Schultz, T. (2026) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3816046.3816319
Fragkopoulou, K., Manouilidou, C., Markopoulos, G., & Varlokosta, S. (2026) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2026.101365
Language Disorder and Pragmatic Impairment of Older Adults
Huang, L. (2026) · Springer eBooks · doi:10.1007/978-3-032-32790-1_1
Duboisdindien, G., Durieux, N., Kieu, M., & Cattini, J. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261497928
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
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review