Severity of Alzheimer’s disease and language features in picture descriptions
Abstract
Background: Studies of connected speech of individuals with Alzheimer’s disease (AD) report significant impairments relative to the language of cognitively intact participants. Considerably less research has focused on the association between dementia severity and language features.Aims: The current study examines how scores on a dementia screening test (the Mini-Mental Status Examination, MMSE) correlate with features of connected speech.Methods & Procedures: Thirty-five individuals with AD (range of MMSE scores = 3–25) and 35 cognitively intact participants provided picture descriptions. Ten language features were derived from their descriptions using an automated text analysis tool: total word number, percentage of content words, pronoun ratio, type-token ratio, mean word frequency, percentage of verbs, percentage of verbs in the most common morphological form in Hebrew, percentage of verbs in present tense, percentage of prepositions, and percentage of subordination markers. Information content was also analysed.Outcomes & Results: Group differences emerged in five language features as well as in information content, attesting for substantial lexical impairment in AD. Within the AD group, MMSE scores were correlated with type-token ratio, with mean word frequency, and with the number of information units. No equivalent correlations were found within the control group.Conclusions: Dementia severity associates with decreasing lexical diversity, increasing word frequency, and a reduction in relevant information content, but not with changes in grammatical features of language. A simple automated analysis of connected speech could be used clinically to define and track the decline in language abilities in AD.
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Individuals with amnestic AD presentation produce an abundance of generic words, circumlocutions, and few content units.
“Previous studies have shown that individuals with amnestic AD presentation produce an abundance of generic words, circumlocutions, and few content units.”
From Automatic classification of AD pathology in FTD phenotypes using natural speech (2024) · cites this paper as [3]
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
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 · see citing works
The assessment of aphasia and related disorders
Goodglass, H., & Kaplan, E. (1972) · Medical Entomology and Zoology · Cited by 3,258 · see citing works
The Assessment of Aphasia and Related Disorders
Benton, A. L. (1973) · Neurology · doi:10.1212/wnl.23.4.388 · Cited by 853 · see citing works
Ullman, M. T., Corkin, S., Coppola, M., Hickok, G. S., Growdon, J. H., Koroshetz, W. J., & Pinker, S. A. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.2.266 · Cited by 806 · see citing works
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 · see citing works
Mapping Scores Onto Stages: Mini-Mental State Examination and Clinical Dementia Rating
Perneczky, R., Wagenpfeil, S., Komossa, K., Grimmer, T., Diehl, J., & Kurz, A. (2006) · The American Journal of Geriatric Psychiatry · doi:10.1097/01.jgp.0000192478.82189.a8 · Cited by 768 · see citing works
The Declarative/Procedural Model of Lexicon and Grammar
Ullman, M. T. (2001) · Journal of Psycholinguistic Research · doi:10.1023/a:1005204207369 · Cited by 508 · see citing works
Dissociations of language function in dementia: A case study
Schwartz, M. F., Marin, O. S. M., & Saffran, E. M. (1979) · Brain and Language · doi:10.1016/0093-934x(79)90024-5 · Cited by 507 · see citing works
Alzheimer Disease and Associated Disorders
Post, S. G., & Whitehouse, P. J. (1992) · Alzheimer Disease & Associated Disorders · doi:10.1097/00002093-199205000-00001 · Cited by 461 · see citing works
Connected speech as a marker of disease progression in autopsy-proven Alzheimer’s disease
Ahmed, S., Haigh, A.-M. F., de Jager, C. A., & Garrard, P. (2013) · Brain · doi:10.1093/brain/awt269 · Cited by 362 · see citing works
Spoken Language Derived Measures for Detecting Mild Cognitive Impairment
Roark, B., Mitchell, M., Hosom, J.-P., Hollingshead, K., & Kaye, J. (2011) · IEEE Transactions on Audio, Speech, and Language Processing · doi:10.1109/tasl.2011.2112351 · Cited by 355 · see citing works
Kemper, S. J., Thompson, M. S., & Marquis, J. G. (2001) · Psychology and Aging · doi:10.1037/0882-7974.16.4.600 · Cited by 316 · see citing works
Empty Speech in Alzheimer's Disease and Fluent Aphasia
Nicholas, M. L., Obler, L. K., Albert, M. L., & Helm‐Estabrooks, N. (1985) · Journal of Speech Language and Hearing Research · doi:10.1044/jshr.2803.405 · Cited by 304 · see citing works
The effects of very early Alzheimer's disease on the characteristics of writing by a renowned author
Garrard, P. (2004) · Brain · doi:10.1093/brain/awh341 · Cited by 281 · see citing works
Language disintegration in dementia: Effects of etiology and severity
Hier, D. B., Hagenlocker, K., & Shindler, A. G. (1985) · Brain and Language · doi:10.1016/0093-934x(85)90124-5 · Cited by 279 · see citing works
Forbes-McKay, K. E., & Venneri, A. (2005) · Neurological Sciences · doi:10.1007/s10072-005-0467-9 · Cited by 261 · see citing works
Quantitative Analysis of Aphasic Sentence Production: Further Development and New Data
Rochon, E., Saffran, E. M., Berndt, R. S., & Schwartz, M. F. (2000) · Brain and Language · doi:10.1006/brln.1999.2285 · Cited by 260 · see citing works
Szatloczki, G., Hoffmann, I., Vincze, V., Kalman, J., & Pakaski, M. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00195 · Cited by 249 · see citing works
Bucks, R. S., Singh, S., Cuerden, J. M., & Wilcock, G. K. (2000) · Aphasiology · doi:10.1080/026870300401603 · Cited by 233 · see citing works
Almor, A., Kempler, D., MacDonald, M. C., Andersen, E. S., & TYLER, L. K. (1999) · Brain and Language · doi:10.1006/brln.1999.2055 · Cited by 220 · see citing works
Comparative Study of Oral and Written Picture Description in Patients with Alzheimer's Disease
Croisile, B., Ska, B., Brabant, M.-J., Duchêne, A., Lepage, Y., Aimard, G., & Trillet, M. (1996) · Brain and Language · doi:10.1006/brln.1996.0033 · Cited by 216 · see citing works
Syntactic Preservation in Alzheimer's Disease
Kempler, D., Curtiss, S., & Jackson, C. M. (1987) · Journal of Speech Language and Hearing Research · doi:10.1044/jshr.3003.343 · Cited by 207 · see citing works
Production of complex syntax in normal ageing and alzheimer's disease
Bates, E. A., Harris, C. R., Marchman, V. A., Wulfeck, B. B., & Kritchevsky, M. (1995) · Language and Cognitive Processes · doi:10.1080/01690969508407113 · Cited by 142 · see citing works
A Case of the Isolation of the Language Function
Whitaker, H. (1976) · Elsevier eBooks · doi:10.1016/b978-0-12-746302-5.50008-6 · Cited by 136 · see citing works
Drummond, C., Coutinho, G., Fonseca, R., Assunção, N., Teldeschi, A., de Oliveira-Souza, R., Moll, J., Tovar-Moll, F., & Mattos, P. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00096 · Cited by 133 · see citing works
Berisha, V., Wang, S., LaCross, A., & Liss, J. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-142763 · Cited by 133 · see citing works
Morphology in Picture Descriptions Provided by Persons With Alzheimer's Disease
Kavé, G., & Levy, Y. (2003) · Journal of Speech Language and Hearing Research · doi:10.1044/1092-4388(2003/027 · Cited by 114 · see citing works
Self-citationBlanken, G., Dittmann, J., Haas, J.-C., & Wallesch, C. (1987) · Cognition · doi:10.1016/s0010-0277(87)80011-2 · Cited by 114 · see citing works
Thomas, C., Keselj, V., Cercone, N., Rockwood, K., & Asp, E. (2006) · IEEE International Conference Mechatronics and Automation, 2005 · doi:10.1109/icma.2005.1626789 · Cited by 110 · see citing works
Dassa, A., & Amir, D. (2014) · Journal of Music Therapy · doi:10.1093/jmt/thu007 · Cited by 102 · see citing works
Self-citationEhrlich, J. S., Obler, L. K., & Clark, L. W. (1997) · Journal of Communication Disorders · doi:10.1016/0021-9924(95)00053-4 · Cited by 92 · see citing works
Spontaneous Speech of Patients With Dementia of the Alzheimer Type and Mild Cognitive Impairment
Bschor, T., Reischies, F. M., & Kühl, K.-P. (2001) · International Psychogeriatrics · doi:10.1017/s1041610201007682 · Cited by 92 · see citing works
Logopenic aphasia in Alzheimer's disease: clinical variant or clinical feature?
Ahmed, S., de Jager, C. A., Haigh, A.-M., & Garrard, P. (2012) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2012-302798 · Cited by 89 · see citing works
Language in Alzheimer's Disease
Weiner, M., Neubecker, K. E., Bret, M. E., & Hynan, L. S. (2008) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v69n0804 · Cited by 84 · see citing works
Profiling spontaneous speech decline in Alzheimer's disease: a longitudinal study
Forbes‐McKay, K., Shanks, M. F., & Venneri, A. (2013) · Acta Neuropsychiatrica · doi:10.1017/neu.2013.16 · Cited by 77 · see citing works
Longitudinal effects of Alzheimer disease on discourse production.
Tomoeda, C. K., & Bayles, K. A. (1993) · PubMed · Cited by 75 · see citing works
Word retrieval in picture descriptions produced by individuals with Alzheimer’s disease
Kavé, G., & Goral, M. (2016) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2016.1179266 · Cited by 67 · see citing works
Self-citationTsantali, E., Economidis, D., & Tsolaki, M. (2013) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2013.03.011 · Cited by 66 · see citing works
The association between age and the frequency of nouns selected for production.
Kavé, G., Samuel-Enoch, K., & Adiv, S. (2009) · Psychology and Aging · doi:10.1037/a0014579 · Cited by 60 · see citing works
Self-citationThe decline of narrative discourse in Alzheimer’s disease
Ash, S., Moore, P., Vesely, L., & Grossman, M. (2007) · Brain and Language · doi:10.1016/j.bandl.2007.07.105 · Cited by 54 · see citing works
Lexical retrieval in discourse: An early indicator of Alzheimer's dementia
Pekkala, S., Wiener, D., Himali, J., Beiser, A., Obler, L., Liu, Y.-L., Mckee, A., Auerbach, S., Seshadri, S., Wolf, P., et al. (2013) · Clinical Linguistics & Phonetics · doi:10.3109/02699206.2013.815278 · Cited by 48 · see citing works
Effects of Semantic Impairment on Language Use in Alzheimer's Disease
Altmann, L. J. P., & McClung, J. S. (2008) · Seminars in Speech and Language · doi:10.1055/s-2008-1061622 · Cited by 46 · see citing works
de Lira, J. O., Minett, T., Bertolucci, P. H. F., & Ortiz, K. Z. (2014) · Dementia & Neuropsychologia · doi:10.1590/s1980-57642014dn83000010 · Cited by 43 · see citing works
Formulaic Language in People with Probable Alzheimer’s Disease: A Frequency-Based Approach
Zimmerer, V. C., Wibrow, M., & Varley, R. A. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160099 · Cited by 41 · see citing works
Votruba, K., Persad, C. C., & Giordani, B. (2016) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988716629858 · Cited by 37 · see citing works
Irish, M., Kamminga, J., Addis, D. R., Crain, S., Thornton, R., Hodges, J. R., & Piguet, O. (2015) · Journal of Neuropsychology · doi:10.1111/jnp.12073 · Cited by 29 · see citing works
Cognition and discourse production in Alzheimer’s disease: Using informative prompts.
Brandão, L., Castelló, F. G., van Dijk, T. A., Parente, M. A. D. M. P., & Peña‐Casanova, J. (2009) · Psychology & Neuroscience · doi:10.3922/j.psns.2009.2.006 · Cited by 20 · see citing works
Stafford, P. B. (2004) · De Gruyter eBooks · doi:10.1515/9783110179620.4.15.3397 · Cited by 16 · see citing works
Guinn, C. I., Singer, B., & Habash, A. (2014) · IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE) · doi:10.1109/cicare.2014.7007840 · Cited by 14 · see citing works
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Sorted by citations
Connected speech features from picture description in Alzheimer's disease: a systematic review
Slegers, A., Filiou, R.-P., Montembeault, M., & Brambati, S. M. (2018) · Journal of Alzheimer’s Disease · doi:10.3233/jad-170881 · Cited by 124 · see citing works
Predicting MCI Status From Multimodal Language Data Using Cascaded Classifiers
Fraser, K., Fors, K. L., Eckerström, M., Öhman, F., & Kokkinakis, D. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00205 · Cited by 93 · see citing works
Filiou, R.-P., Bier, N., Slegers, A., Houzé, B., Belchior, P. D. C., & Brambati, S. M. (2019) · Aphasiology · doi:10.1080/02687038.2019.1608502 · Cited by 92 · see citing works
Yeung, A., Iaboni, A., Rochon, E. A., Lavoie, M., Santiago, C., Yancheva, M., Novikova, J., Xu, M., Robin, J., Kaufman, L. D., et al. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00848-x · Cited by 90 · see citing works
Pappagari, R. R., Cho, J., Moro-Velázquez, L., & Dehak, N. (2020) · Interspeech (USB) · doi:10.21437/interspeech.2020-2587 · Cited by 68 · see citing works
Exploring Deep Transfer Learning Techniques for Alzheimer's Dementia Detection
Zhu, Y., Liang, X., Batsis, J. A., & Roth, R. M. (2021) · Frontiers in Computer Science · doi:10.3389/fcomp.2021.624683 · Cited by 58 · see citing works
Lexical and Acoustic Speech Features Relating to Alzheimer Disease Pathology
Cho, S., Cousins, K. A. Q., Shellikeri, S., Ash, S., Irwin, D. J., Liberman, M. Y., Grossman, M., & Nevler, N. (2022) · Neurology · doi:10.1212/wnl.0000000000200581 · Cited by 51 · see citing works
Ostrand, R., & Gunstad, J. (2021) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988720933358 · Cited by 49 · see citing works
Alzheimer’s Dementia Recognition From Spontaneous Speech Using Disfluency and Interactional Features
Nasreen, S., Rohanian, M., Hough, J., & Purver, M. (2021) · Frontiers in Computer Science · doi:10.3389/fcomp.2021.640669 · Cited by 47 · see citing works
Automated analysis of lexical features in frontotemporal degeneration
Cho, S., Nevler, N., Ash, S., Shellikeri, S., Irwin, D. J., Massimo, L., Rascovsky, K., Olm, C., Grossman, M., & Liberman, M. (2021) · Cortex · doi:10.1016/j.cortex.2021.01.012 · Cited by 41 · see citing works
Language changes in Alzheimer’s disease: A systematic review of verb processing
Williams, E., McAuliffe, M., & Theys, C. (2021) · Brain and Language · doi:10.1016/j.bandl.2021.105041 · Cited by 40 · see citing works
Ivanova, O., Martínez‐Nicolás, I., & Meilán, J. J. G. (2024) · International Journal of Language & Communication Disorders · doi:10.1111/1460-6984.12888 · Cited by 38 · see citing works
Using narratives in differential diagnosis of neurodegenerative syndromes
Faroqi-Shah, Y., Treanor, A., Ratner, N. B., Ficek, B., Webster, K., & Tsapkini, K. (2020) · Journal of Communication Disorders · doi:10.1016/j.jcomdis.2020.105994 · Cited by 32 · see citing works
Yamada, Y., Shinkawa, K., Nemoto, M., Nemoto, K., & Arai, T. (2023) · Computer Speech & Language · doi:10.1016/j.csl.2023.101514 · Cited by 32 · see citing works
Amyloid beta associations with connected speech in cognitively unimpaired adults
Mueller, K. D., Hulle, C. A. V., Koscik, R. L., Jonaitis, E. M., Peters, C. C., Betthauser, T. J., Christian, B. T., Chin, N. A., Hermann, B. P., & Johnson, S. C. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12203 · Cited by 33 · see citing works
Liu, Z., Paek, E. J., Yoon, S. O., Casenhiser, D. M., Zhou, W., & Zhao, X. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215137 · Cited by 30 · see citing works
Alkenani, A. H., Li, Y., Xu, Y., & Zhang, Q. (2021) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2021.103803 · Cited by 29 · see citing works
Automated assessment of speech production and prediction of MCI in older adults
Sanborn, V. E., Ostrand, R., Ciesla, J. A., & Gunstad, J. (2020) · Applied Neuropsychology Adult · doi:10.1080/23279095.2020.1864733 · Cited by 27 · see citing works
Williams, E., Theys, C., & McAuliffe, M. J. (2023) · PLoS ONE · doi:10.1371/journal.pone.0288556 · Cited by 28 · see citing works
Wang, T., Lian, C., Pan, J., Yan, Q., Zhu, F., Ng, M. L., Wang, L., & Yan, N. (2019) · Interspeech (USB) · doi:10.21437/interspeech.2019-2414 · Cited by 22 · see citing works
Tang, F., Chen, J., Dodge, H. H., & Zhou, J. (2022) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.702772 · Cited by 18 · see citing works
A longitudinal multi-modal dataset for dementia monitoring and diagnosis
Gkoumas, D., Wang, B., Tsakalidis, A., Wolters, M. K., Purver, M., Zubiaga, A., & Liakata, M. (2024) · Language Resources and Evaluation · doi:10.1007/s10579-023-09718-4 · Cited by 15 · see citing works
Revisiting Aspect in Mild Cognitive Impairment and Alzheimer's Disease: Evidence From Greek
Manouilidou, C., Ρουμπέα, Γ., Νούσια, Α., Stavrakaki, S., & Nasios, G. (2020) · Frontiers in Communication · doi:10.3389/fcomm.2020.434106 · Cited by 14 · see citing works
Automatic classification of AD pathology in FTD phenotypes using natural speech
Cho, S., Olm, C. A., Ash, S., Shellikeri, S., Agmon, G., Cousins, K. A. Q., Irwin, D. J., Grossman, M., Liberman, M., & Nevler, N. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13748 · Cited by 13 · see citing works
Wang, R.-M., Chen, K., Guo, C., Chen, Y., Li, C., Matsumura, Y., Ishimaru, M., Pelt, A. J. V., & Chen, F. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230373 · Cited by 13 · see citing works
Mestach, M., Hartsuiker, R. J., & Pistono, A. (2023) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2023.101189 · Cited by 12 · see citing works
Καλτσά, Μ., Tsolaki, A., Lazarou, I., Mittas, I., Papageorgiou, M., Papadopoulou, D., Tsimpli, I. M., & Tsolaki, M. (2024) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-230204 · Cited by 14 · see citing works
Light verb production in healthy ageing and dementia
Kintz, S., & Wright, H. H. (2022) · International Journal of Language & Communication Disorders · doi:10.1111/1460-6984.12721 · Cited by 10 · see citing works
Partner-Specific Communication Deficits in Individuals With Alzheimer's Disease
Paek, E. J., & Yoon, S. O. (2020) · American Journal of Speech-Language Pathology · doi:10.1044/2020_ajslp-19-00094 · Cited by 10 · see citing works
Referential adjustment during discourse production in Alzheimer’s disease
Sandoz, M., Iglesias, K., Achim, A. M., Démonet, J., & Fossard, M. (2020) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2020.1798883 · Cited by 10 · see citing works
Predicting Prodromal Dementia Using Linguistic Patterns and Deficits
Alkenani, A. H., Li, Y., Xu, Y., & Zhang, Q. (2020) · IEEE Access · doi:10.1109/access.2020.3029907 · Cited by 9 · see citing works
Speech and language production in Alzheimer’s disease
Rochon, E. A., Léonard, C., & Goral, M. (2017) · Aphasiology · doi:10.1080/02687038.2017.1390206 · Cited by 9 · see citing works
Selecting and Analyzing Speech Features for the Screening of Mild Cognitive Impairment
Yang, Q., Xu, F., Ling, Z.-H., Li, X., Li, Y., & Fang, D. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9630752 · Cited by 9 · see citing works
A preliminary investigation on core lexicon analysis in dementia of the Alzheimer's type
Kintz, S., Kim, H. H., & Wright, H. H. (2024) · International Journal of Language & Communication Disorders · doi:10.1111/1460-6984.12999 · Cited by 7 · see citing works
Gao, N., & He, Q. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-03509-0 · Cited by 10 · see citing works
Sigona, F., Radicioni, D. P., Fivela, B. G., Colla, D., Delsanto, M., Mensa, E., Bolioli, A., & Vigorelli, P. (2024) · Computer Speech & Language · doi:10.1016/j.csl.2024.101691 · Cited by 6 · see citing works
Flick, G., & Ostrand, R. (2025) · Journal of Speech Language and Hearing Research · doi:10.1044/2025_jslhr-24-00297 · Cited by 5 · see citing works
Lexical Diversity and Language Impairment
Zozuk, N. Č. (2023) · Journal of Linguistics/Jazykovedný casopis · doi:10.2478/jazcas-2023-0047 · Cited by 5 · see citing works
Evans, E., Coley, S. L., Gooding, D. C., Norris, N. C., Ramsey, C. M., Green‐Harris, G., & Mueller, K. D. (2021) · Aphasiology · doi:10.1080/02687038.2021.1931801 · Cited by 5 · see citing works
Gkoumas, D., Purver, M., & Liakata, M. (2023) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2023.emnlp-main.986 · Cited by 4 · see citing works
Bao, Y., Shea, Y. F., Chiu, P. K., Kwan, J. S. K., Chan, F. H.-W., Chow, W.-S., Chan, K., & Mak, H. K. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.956222 · Cited by 3 · see citing works
Kokkinakis, D., Fors, K. L., Fraser, K., & Nordlund, A. (2018) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/2e42uqpk9g23 · Cited by 3 · see citing works
Kim, J. W., Shim, J., & Yoon, J. H. (2019) · Medicine · doi:10.1097/md.0000000000014041 · Cited by 3 · see citing works
Language Changes in Late-Onset Alzheimer’s Disease
Can, E., & Kuruoğlu, G. (2019) · PSYCHOLINGUISTICS · doi:10.31470/2309-1797-2019-25-2-50-68 · Cited by 3 · see citing works
Gao, N., & He, Q. (2024) · Aphasiology · doi:10.1080/02687038.2024.2434858 · Cited by 4 · see citing works
Dependency Grammar Approach to the Syntactic Complexity in the Discourse of Alzheimer Patients
Lian, Z., & Wang, Z. (2025) · Behavioral Sciences · doi:10.3390/bs15101334 · Cited by 2 · see citing works
Manouilidou, C., & Nerantzini, M. (2020) · Contemporary clinical neuroscience · doi:10.1007/978-3-030-35687-3_3 · Cited by 1 · see citing works
Kluj-Kozłowska, K., Domagała, A., Sitek, E. J., Milewski, S., Brockhuis, B., Wieczorek, D., Lass, P., & Sławek, J. W. (2020) · Logopedia Silesiana · doi:10.31261/logopediasilesiana.2020.09.18 · Cited by 1 · see citing works
Καλτσά, Μ., Tsolaki, A., Lazarou, I., Mittas, I., Papageorgiou, M., Papadopoulou, D., Tsimpli, I. M., Tsangalidis, A., & Tsolaki, M. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.076053 · Cited by 1 · see citing works
Does Parkinson's disease affect verb production in picture descriptions?
Kavé, G., Goral, M., Mirelman, A., Shiner, T., & Bregman, N. (2024) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2024.101230 · Cited by 1 · see citing works
Self-citationSpeech biomarkers predict amyloid status in cognitively unimpaired adults
Gabirondo, P., García-Martínez, M., Pozueta‐Cantudo, A., Maran, P. L., Dias, P., Rojo, T., Jiménez-Raboso, J., Lage, C., Martínez‐Dubarbie, F., López‐García, S., et al. (2025) · Intelligence-Based Medicine · doi:10.1016/j.ibmed.2025.100306 · Cited by 1 · see citing works
Zimmerer, V. C., Tsoukala, A., Çokal, D., Sevilla, G., Douglas, M., Jones, W., Ferrier, I. N., Turkington, D., Watson, S., Varley, R. A., et al. (2025) · Cortex · doi:10.1016/j.cortex.2025.12.006 · Cited by 1 · see citing works
Pigliautile, M., Colombo, M., Pizzuti, T., Procopio, N., Stillo, M., Curia, R., & Mecocci, P. (2022) · Aging Clinical and Experimental Research · doi:10.1007/s40520-022-02219-4 · Cited by 1 · see citing works
A Digital Language Coherence Marker for Monitoring Dementia
Gkoumas, D., Tsakalidis, A., & Liakata, M. (2023) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2023.emnlp-main.994 · Cited by 1 · see citing works
Che, Y., & Huang, L. (2025) · Aphasiology · doi:10.1080/02687038.2025.2510323 · Cited by 1 · see citing works
Kluj-Kozłowska, K., Centrum Diagnozy i Terapii Neurologopedycznej, G., Sitek, E. J., Oddział Neurologii, S. S. Ś. W., Skrzypkowska, A., Narożańska, E., Poradnia Zaburzeń Pamięci, S. S. Ś. W., Brockhuis, B., Sławek, J. W., Oddział Neurologii, S. S. Ś. W., et al. (2020) · Aktualności Neurologiczne · doi:10.15557/an.2020.0016
dos Santos, D. T. (2019) · doi:10.11606/d.5.2019.tde-07022019-092504 · Cited by 1 · see citing works
Yeung, A., Iaboni, A., Rochon, E. A., Lavoie, M., Santiago, C., Yancheva, M., Novikova, J., Kaufman, L. D., & Mostafa, F. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.044181
Deep discourse analysis for early prediction of multi-type dementia
Alkenani, A. H. (2023) · Queensland University of Technology · doi:10.5204/thesis.eprints.240368
Bayat, S., Santai, M., Panahi, M. M., Khodadadi, A., Ghasimi, M., Rezaei, S., Besharat, S., Mahboubi, Z., Almasi‐Dooghaee, M., Taheri, M. S., et al. (2024) · medRxiv · doi:10.1101/2024.03.19.24304407
Lee, I., Sohn, M. K., Song, R., Park, S., & Shin, S. (2024) · Eon'eo cheong'gag jang'ae yeon'gu/Communication sciences & disorders · doi:10.12963/csd.240039
Visualizing Language and Aging From 2013-2022
Li, X., Chen, T., Guo, H., & Wang, H. (2024) · Chinese Journal of Applied Linguistics · doi:10.1515/cjal-2024-0406
Kong, H. H., Shin, K., Yang, D., Kim, A., Joo, H.-S., Oh, M. W., & Lee, J. (2024) · PLoS ONE · doi:10.1371/journal.pone.0315745
Development and validation of an Age-related Language Decline Scale (ALDS) for older adults
Zhou, X., & Dong, Y. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.104792
Thanh, N. N. T., Ha, H., Thanh, H. P., Thi, L. N., Trong, N. H. T., & Hoai, T. (2025) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-031-90197-3_37
Speech Biomarkers Predict Amyloid Status in Cognitively Unimpaired AdultsPreprint
Aranguren, P., García-Martínez, M., Pozueta‐Cantudo, A., Maran, P. L., Dias, P., Rojo, T., Jiménez-Raboso, J., Lage, C., Martínez‐Dubarbie, F., López‐García, S., et al. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5377205
Yeung, A., Iaboni, A., Rochon, E. A., Lavoie, M., Santiago, C., Yancheva, M., Novikova, J., Xu, M., Robin, J., Kaufman, L. D., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14737112
Dassa, A. (2026) · Nordic Journal of Music Therapy · doi:10.1080/08098131.2026.2647291
Self-citationHuynh, K. T., & Thilges, S. (2026) · The American Journal of Bioethics · doi:10.1080/15265161.2026.2637101
Introduction to neurodegenerative disorders: Unraveling the complex interplay of cognitive decline
Taurisano, P., & Dentamaro, V. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-13545-3.00002-5
Fragkopoulou, K., Manouilidou, C., Markopoulos, G., & Varlokosta, S. (2026) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2026.101365
Liu, J., Shi, H., & Liu, H. (2026) · Aphasiology · doi:10.1080/02687038.2026.2729376
- Authors
- Kavé, G., & Dassa, A.
- Affiliations
- Open University of Israel (IL)
- Bar-Ilan University (IL)
- Corresponding author
- Kavé, Gitit
- Venue
- Aphasiology
- Publisher
- Informa UK Limited
- Published
- 2017-03-16
- Volume
- 32
- Issue
- 1
- Pages
- 27-40
- ISSN
- 0268-7038 (ISSN-L)
- 1464-5041
- OpenAlex
- W2595910252
- Cited by
- 72
- References
- 51
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 12 · 2023: 10 · 2022: 6 · 2021: 10 · 2020: 12 · 2019: 6 · 2018: 2 · 2017: 1
- FWCI
- 4.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Aphasiology (publishedVersion)
- Funders
- Myers-JDC-Brookdale Institute of Gerontology and Human Development
- ESHEL-The Association for the Planning and Development of Services for the Aged in Israel
- Paulina and Hans Graubard foundation
- 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, dementia severity, picture description, connected speech, lexical diversity, type-token ratio, word frequency, information content, grammatical features, Mini-Mental State Examination, computational text analysis, Hebrew language
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