Connected speech features from picture description in Alzheimer's disease: a systematic review

“Mini-mental state”

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

Clinical diagnosis of Alzheimer's disease: Report of the NINCDS‐ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease

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

Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement

PRISMA-P Group, Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., Shekelle, P., & Stewart, L. A. (2015) · Systematic Reviews · doi:10.1186/2046-4053-4-1 · Cited by 26,223

The diagnosis of dementia due to Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657

A New Clinical Scale for the Staging of Dementia

Hughes, C. P., Berg, L., Danziger, W., Coben, L. A., & Martin, R. L. (1982) · British Journal of Psychiatry · doi:10.1192/bjp.140.6.566 · Cited by 7,056

A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge.

Landauer, T. K., & Dumais, S. T. (1997) · Psychological Review · doi:10.1037/0033-295x.104.2.211 · Cited by 6,282

The Global Deterioration Scale for assessment of primary degenerative dementia

Reisberg, ‌., Ferris, S. H., de Leon, M. J., & Crook, T. H. (1982) · American Journal of Psychiatry · doi:10.1176/ajp.139.9.1136 · Cited by 5,122

Systematic Reviews: Rationale for systematic reviews

Mulrow, C. D. (1994) · BMJ · doi:10.1136/bmj.309.6954.597 · Cited by 1,677

Attention and executive deficits in Alzheimer's disease: A critical review

Perry, R. J. (1999) · Brain · doi:10.1093/brain/122.3.383 · Cited by 1,252

The Medical Review Article: State of the Science

MULROW, C. D. (1987) · Annals of Internal Medicine · doi:10.7326/0003-4819-106-3-485 · Cited by 856

Ten Years of Research on Automatic Voice and Speech Analysis of People With Alzheimer's Disease and Mild Cognitive Impairment: A Systematic Review Article

Martínez‐Nicolás, I., Llorente, T. E., Martínez‐Sánchez, F., & Meilán, J. J. G. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.620251 · Cited by 187

Comparing Pre-trained and Feature-Based Models for Prediction of Alzheimer's Disease Based on Speech

Balagopalan, A., Eyre, B., Robin, J., Rudzicz, F., & Novikova, J. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.635945 · Cited by 106

Connected speech assessment in the early detection of Alzheimer’s disease and mild cognitive impairment: a scoping review

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 100

Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment and Alzheimer’s dementia

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

Voice Analysis for Neurological Disorder Recognition–A Systematic Review and Perspective on Emerging Trends

Hecker, P., Steckhan, N., Eyben, F., Schuller, B. W., & Arnrich, B. (2022) · Frontiers in Digital Health · doi:10.3389/fdgth.2022.842301 · Cited by 78

Using Digital Speech Assessments to Detect Early Signs of Cognitive Impairment

Robin, J., Xu, M., Kaufman, L. D., & Simpson, W. S. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.749758 · Cited by 72

Using automatic assessment of speech production to predict current and future cognitive function in older adults

Ostrand, R., & Gunstad, J. (2021) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988720933358 · Cited by 49

Repeatability of Commonly Used Speech and Language Features for Clinical Applications

Stegmann, G. M., Hahn, S., Liss, J., Shefner, J., Rutkove, S. B., Kawabata, K., Bhandari, S., Shelton, K., Duncan, C. J., & Berisha, V. (2020) · Digital Biomarkers · doi:10.1159/000511671 · Cited by 47

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

ADscreen: A speech processing-based screening system for automatic identification of patients with Alzheimer's disease and related dementia

Zolnoori, M., Zolnour, A., & Topaz, M. (2023) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2023.102624 · Cited by 43

Neural Correlates of Verb Fluency Performance in Cognitively Healthy Older Adults and Individuals With Dementia: A Pilot fMRI Study

Paek, E. J., Murray, L. L., & Newman, S. D. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00073 · Cited by 42

Discriminating speech traits of Alzheimer's disease assessed through a corpus of reading task for Spanish language

Ivanova, O., Meilán, J. J. G., Martínez‐Sánchez, F., Martínez‐Nicolás, I., Llorente, T. E., & Carcavilla-González, N. (2021) · Computer Speech & Language · doi:10.1016/j.csl.2021.101341 · Cited by 35

Connected Speech Characteristics of Bengali Speakers With Alzheimer's Disease: Evidence for Language-Specific Diagnostic Markers

Bose, A., Dash, N. S., Ahmed, S., Dutta, M., Dutt, A., Nandi, R., Cheng, Y., & Mello, T. M. D. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.707628 · Cited by 40

A mobile application using automatic speech analysis for classifying Alzheimer's disease and mild cognitive impairment

Yamada, Y., Shinkawa, K., Nemoto, M., Nemoto, K., & Arai, T. (2023) · Computer Speech & Language · doi:10.1016/j.csl.2023.101514 · Cited by 34

Automatic speech analysis for detecting cognitive decline of older adults

Huang, L., Yang, H. J., Che, Y., & Yang, J. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1417966 · Cited by 33

Detecting Alzheimer’s Disease Using Natural Language Processing of Referential Communication Task Transcripts

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

Telltale silence: temporal speech parameters discriminate between prodromal dementia and mild Alzheimer’s disease

Vincze, V., Szatlóczki, G., Tóth, L., Gosztolya, G., Pákáski, M., Hoffmann, I., & Kálmán, J. (2020) · Clinical Linguistics & Phonetics · doi:10.1080/02699206.2020.1827043 · Cited by 31

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 28

Lexical-semantic properties of verbs and nouns used in conversation by people with Alzheimer’s disease

Williams, E., Theys, C., & McAuliffe, M. J. (2023) · PLoS ONE · doi:10.1371/journal.pone.0288556 · Cited by 28

Suicide risk detection using artificial intelligence: the promise of creating a benchmark dataset for research on the detection of suicide risk

Parsapoor, M., Koudys, J. W., & Ruocco, A. C. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1186569 · Cited by 24

Low Speech Connectedness in Alzheimer’s Disease is Associated with Poorer Semantic Memory Performance

Malcorra, B. L. C., Mota, N. B., Weissheimer, J., Schilling, L. P., Wilson, M. A., & Hübner, L. C. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210134 · Cited by 23

Multimodal Capture of Patient Behaviour for Improved Detection of Early Dementia: Clinical Feasibility and Preliminary Results

Jonell, P., Moëll, B., Håkansson, K., Henter, G. E., Kucherenko, T., Mikheeva, O., Hagman, G., Holleman, J., Kivipelto, M., Kjellström, H., et al. (2021) · Frontiers in Computer Science · doi:10.3389/fcomp.2021.642633 · Cited by 26

Performance of machine learning algorithms for dementia assessment: impacts of language tasks, recording media, and modalities

Parsapoor, M., Alam, M. R., & Mihailidis, A. (2023) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-023-02122-6 · Cited by 26

Silent Pauses and Speech Indices as Biomarkers for Primary Progressive Aphasia

Potagas, C. M., Nikitopoulou, Z., Angelopoulou, G., Kasselimis, D. S., Laskaris, N., Kourtidou, E., Constantinides, V. C., Bougea, A. M., Paraskevas, G. P., Papageorgiou, G., et al. (2022) · Medicina · doi:10.3390/medicina58101352 · Cited by 22

Investigating sentence processing and working memory in patients with mild Alzheimer and elderly people

Nasiri, M., Moayedfar, S., Purmohammad, M., & Ghasisin, L. (2022) · PLoS ONE · doi:10.1371/journal.pone.0266552 · Cited by 22

Multi-party Goal Tracking with LLMs: Comparing Pre-training, Fine-tuning, and Prompt Engineering

Addlesee, A., Sieińska, W., Gunson, N., García, D. H., Dondrup, C., & Lemon, O. (2023) · Annual Meeting of the Special Interest Group on Discourse and Dialogue · doi:10.18653/v1/2023.sigdial-1.22 · Cited by 25

Cognitive components of aging-related increase in word-finding difficulty

Wei, H. T., Kulzhabayeva, D., Erceg, L., Robin, J., Hu, Y. Z., Chignell, M., & Meltzer, J. A. (2024) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2024.2315774 · Cited by 18

Analysis and Classification of Word Co-Occurrence Networks From Alzheimer’s Patients and Controls

Millington, T., & Luz, S. F. (2021) · Frontiers in Computer Science · doi:10.3389/fcomp.2021.649508 · Cited by 18

Distinguishable features of spontaneous speech in Alzheimer’s clinical syndrome and healthy controls

Burke, E. M., Gunstad, J., Pavlenko, O., & HAMRICK, P. J. J. (2023) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2023.2221020 · Cited by 16

Comparing global and local semantic coherence of spontaneous speech in persons with Alzheimer's disease and healthy controls

Burke, E. M., Gunstad, J., & HAMRICK, P. J. J. (2023) · Applied Corpus Linguistics · doi:10.1016/j.acorp.2023.100064 · Cited by 16

AI‐based assessments of speech and language impairments in dementia

Parsapoor, M. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13395 · Cited by 15

Importance of Task Selection for Connected Speech Analysis in Patients with Alzheimer’s Disease from an Ethnically Diverse Sample

Bose, A., Dutta, M., Dash, N. S., Nandi, R., Dutt, A., & Ahmed, S. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220166 · Cited by 19

Connected speech markers of amyloid burden in primary progressive aphasia

Slegers, A., Chafouleas, G., Montembeault, M., Bedetti, C., Welch, A. E., Rabinovici, G. D., Langlais, P., Gorno‐Tempini, M. L., & Brambati, S. M. (2021) · Cortex · doi:10.1016/j.cortex.2021.09.010 · Cited by 16

Intact reversed language-dominance but exaggerated cognate effects in reading aloud of language switches in bilingual Alzheimer’s disease.

Gollan, T. H., Li, C., Stasenko, A., & Salmon, D. P. (2019) · Neuropsychology · doi:10.1037/neu0000592 · Cited by 15

Effectiveness of a Visual Imagery Training Program to Improve Prospective Memory in Older Adults with and without Mild Cognitive Impairment: A Randomized Controlled Study

Lajeunesse, A., Potvin, M.-J., Labelle, V., Chasles, M., Kergoat, M., Villalpando, J. M., Joubert, S., & Rouleau, I. (2021) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2021.1919529 · Cited by 13

Natural language processing‐based classification of early Alzheimer's disease from connected speech

Balabin, H., Tamm, B., Spruyt, L., Dusart, N., Kabouche, I., Eycken, E., Statz, K., Meyer, S. D., hamme, H. V., Dupont, P. J., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.14530 · Cited by 13

Can we track the progression of Alzheimer's Disease via lexical-semantic variables in connected speech?

Mestach, M., Hartsuiker, R. J., & Pistono, A. (2023) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2023.101189 · Cited by 12

Development of main concept and core lexicon checklists for the original and modern Cookie Theft stimuli

Dalton, S. G., Harbi, M. A., Berube, S. K., & Hubbard, H. I. (2024) · Aphasiology · doi:10.1080/02687038.2024.2340794 · Cited by 12

Language Markers of Dementia and Their Role in Early Diagnosis of Alzheimer’s Disease: Exploring Grammatical and Syntactic Competence via Sentence Repetition

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

Storyteller in ADNI4: Application of an early Alzheimer's disease screening tool using brief, remote, and speech‐based testing

Skirrow, C., Meepegama, U., Weston, J., Miller, M. J., Nosheny, R. L., Albala, B., Weiner, M. W., Fristed, E., & Initiative, A. D. N. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14206 · Cited by 12

Self‐reported word‐finding complaints are associated with cerebrospinal fluid amyloid beta and atrophy in cognitively normal older adults

Montembeault, M., Stijelja, S., Brambati, S. M., & Initiative, A. D. N. (2022) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12274 · Cited by 12

Methodologies for assessing morphosyntactic ability in people with Alzheimer's disease

Varlokosta, S., Fragkopoulou, K., Arfani, D., & Manouilidou, C. (2023) · International Journal of Language & Communication Disorders · doi:10.1111/1460-6984.12862 · Cited by 12

Spared speech fluency is associated with increased functional connectivity in the speech production network in semantic variant primary progressive aphasia

Montembeault, M., Miller, Z., Geraudie, A., Pressman, P., Slegers, A., Millanski, C., Licata, A. E., Ratnasiri, B. M., Mandelli, M. L., Henry, M. L., et al. (2023) · Brain Communications · doi:10.1093/braincomms/fcad077 · Cited by 11

You have interrupted me again!: making voice assistants more dementia-friendly with incremental clarification

Addlesee, A., & Eshghi, A. (2024) · Frontiers in Dementia · doi:10.3389/frdem.2024.1343052 · Cited by 11

A systematic review of the quantitative markers of speech and language of the frontotemporal degeneration spectrum and their potential for cross-linguistic implementation

Coppieters, R., Bouzigues, A., Jiskoot, L. C., Montembeault, M., Tee, B. L., Rohrer, J. D., Bruffaerts, R., Russell, L. L., Foster, P. H., Ferry‐Bolder, E., et al. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105909 · Cited by 9

Language and memory: an investigation of the relationship between autobiographical memory recall and narrative production of semantic and episodic information

Lima, B. S., Murphy, K. J., Troyer, A. K., Levine, B., Graham, N. L., Léonard, C., Tang‐Wai, D. F., Black, S. E., & Rochon, E. A. (2020) · Aphasiology · doi:10.1080/02687038.2020.1843593 · Cited by 10

Automated semantic relevance as an indicator of cognitive decline: Out‐of‐sample validation on a large‐scale longitudinal dataset

Stegmann, G., Hahn, S., Bhandari, S., Kawabata, K., Shefner, J. M., Duncan, C. J., Liss, J., Berisha, V., & Mueller, K. D. (2022) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12294 · Cited by 7

Slovak database of speech affected by neurodegenerative diseases

Rusko, M., Sabo, R., Trnka, M., Zimmermann, A., Malaschitz, R., Ružický, E., Brandoburová, P., Kevická, V., & Škorvánek, M. (2024) · Scientific Data · doi:10.1038/s41597-024-04171-6 · Cited by 21

Reliability of the picture description task of the Western Aphasia Battery – revised in Laurentian French persons without brain injury

Marcotte, K., Roy, A., Brisebois, A., Jutras, C., Léonard, C., Rochon, E. A., & Brambati, S. M. (2024) · The Clinical Neuropsychologist · doi:10.1080/13854046.2024.2340777 · Cited by 8

Can discourse processing performance serve as an early marker of Alzheimer’s disease and mild cognitive impairment? A systematic review of text comprehension

Kokje, E., Çelik, S., Wahl, H., & von Stutterheim, C. (2021) · European Journal of Ageing · doi:10.1007/s10433-021-00619-5 · Cited by 7

Language patterns in Japanese patients with Alzheimer disease: A machine learning approach

Momota, Y., Liang, K., Horigome, T., Kitazawa, M., Eguchi, Y., Takamiya, A., Goto, A., Mimura, M., & Kishimoto, T. (2022) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.13526 · Cited by 10

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

The Case of the Cookie Jar: Differences in Typical Language Use in Dementia

Fromm, D., Dalton, S. G., Brick, A., Olaiya, G., Hill, S., Greenhouse, J. B., & MacWhinney, B. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-230844 · Cited by 8

Lexical Speech Features of Spontaneous Speech in Older Persons With and Without Cognitive Impairment: Reliability Analysis

HAMRICK, P. J. J., Sanborn, V. E., Ostrand, R., & Gunstad, J. (2023) · JMIR Aging · doi:10.2196/46483 · Cited by 7

Towards AI-powered Language Assessment ToolsPreprint

Parsapoor, M., Alam, M. R., & Mihailidis, A. (2021) · Research Square · doi:10.21203/rs.3.rs-246079/v1 · Cited by 9

EWA-DB, Slovak Database of Speech Affected by Neurodegenerative DiseasesPreprint

Rusko, M., Sabo, R., Trnka, M., Zimmermann, A., Malaschitz, R., Ružický, E., Brandoburová, P., Kevická, V., & Škorvánek, M. (2023) · medRxiv · doi:10.1101/2023.10.13.23296810 · Cited by 7

Language switching and speaking a nondominant language challenge executive control: Preliminary data for novel behavioral markers of Alzheimer’s risk in Spanish–English bilinguals.

Garcia, D. L., & Gollan, T. H. (2024) · Neuropsychology · doi:10.1037/neu0000943 · Cited by 6

Universal and Language-Specific Connected Speech Characteristics of Bilingual Speakers With Alzheimer's Disease: Insights From Case Studies of Structurally Distinct Languages

Dutta, M., Mello, T. M. D., Cheng, Y., Dash, N. S., Nandi, R., Dutt, A., & Bose, A. (2024) · Journal of Speech Language and Hearing Research · doi:10.1044/2024_jslhr-23-00254 · Cited by 7

Review of Artificial Intelligence for Clinical Use in Alzheimer's Disease and Related Dementias

Breithaupt, A. G., Tang, A., Paolillo, E. W., Bibars, M., Johnson, E. C. B., Saloner, R., Possin, K. L., Windon, C. C., Hill-Jarrett, T. G., Giorgio, J., et al. (2026) · Seminars in Neurology · doi:10.1055/a-2744-9871 · Cited by 6

Analysis of Speech Features in Alzheimer’s Disease with Machine Learning: A Case-Control Study

Noto, S., Sekiyama, Y., Nagata, R., Yamamoto, G., & Tamura, T. (2024) · Healthcare · doi:10.3390/healthcare12212194 · Cited by 9

Speech error rates after a sports-related concussion

Patel, S. A., Grabowski, C., Dayalu, V. N., & Testa, A. J. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1135441 · Cited by 6

The Discourse Profile in Corticobasal Syndrome: A Comprehensive Clinical and Biomarker Approach

de Almeida, I. J., Silagi, M. L., Carthery‐Goulart, M. T., Parmera, J. B., Cecchini, M. A., Coutinho, A. M., Brucki, S. M. D., Nitríni, R., & Schochat, E. (2022) · Brain Sciences · doi:10.3390/brainsci12121705 · Cited by 5

Coordinating Words and Sentences: Detecting Age-Related Changes in Language Production

Sung, J. E., Jo, E., Choi, S., & Lee, J. (2023) · Journal of Speech Language and Hearing Research · doi:10.1044/2023_jslhr-23-00222 · Cited by 5

Aphasia in South Asian Languages (ASAL) project: a protocol of connected speech tasks for investigating cross-linguistic grammatical profiles in aphasia for South Asian languages

Bose, A., Bhatia, S., Venkatesh, L., Banerjee, S., Murugesan, G., John, S., Upadhyay, S., Dutta, M., Menon, M., Fahey, D., et al. (2025) · Aphasiology · doi:10.1080/02687038.2025.2548249 · Cited by 4

Automatically Calculated Context-Sensitive Features of Connected Speech Improve Prediction of Impairment in Alzheimer's Disease

Flick, G., & Ostrand, R. (2025) · Journal of Speech Language and Hearing Research · doi:10.1044/2025_jslhr-24-00297 · Cited by 6

Adaptation and Reliability of the Cinderella Story Retell Task in Canadian French Persons Without Brain Injury

Brisebois, A., Brambati, S. M., Jutras, C., Rochon, E. A., Léonard, C., Zumbansen, A., Anglade, C., & Marcotte, K. (2023) · American Journal of Speech-Language Pathology · doi:10.1044/2023_ajslp-23-00101 · Cited by 4

Identification of Alzheimer's Disease Patients Based on Oral Speech Features

Zhou, Q. F., Ma, Y., Luo, B., Gu, M., & Zhu, Z. (2019) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.1109/apsipaasc47483.2019.9023255 · Cited by 4

Cross-Sectional Analysis of Picture Descriptions of Healthy Young and Older Adults

Boucher, J., Slegers, A., & Brambati, S. M. (2019) · Neuropsychologie clinique et appliquée · doi:10.46278/j.ncacn.20190714 · Cited by 5

Preliminary assessment of connected speech and language as marker for cognitive change in late middle-aged Black/African American adults at risk for Alzheimer’s disease

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

Connected speech features in non-English speakers with Alzheimer’s disease: protocol for scoping review

Bose, A., Ahmed, S., Cheng, Y., & Gonzalez, A. S. (2024) · Systematic Reviews · doi:10.1186/s13643-023-02379-y · Cited by 5

Amyloid‐related changes in fluency in patients with subjective cognitive decline

van den Berg, R. L., Butterbrod, E., de Boer, C., Schlüter, L.-M., Harten, A. V. V., Teunissen, C., van de Giessen, E. M., van der Flier, W. M., & Sikkes, S. (2025) · Alzheimer's & Dementia · doi:10.1002/dad2.70063 · Cited by 5

Relationship between language features extracted through NLP and clinically diagnosed Alzheimer's disease and mild cognitive impairment in Slovak

Zozuk, N. C., Munková, D., Kelebercová, L., & Munk, M. (2025) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70122 · Cited by 5

Characterizing and detecting delirium with clinical and computational measures of speech and language disturbance

Tang, S. X., Cong, Y., Mercep, G., Bhatti, M., Serpe, G., Gromova, V., Berretta, S. A., John, M., Liberman, M., & Sinvani, L. (2023) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.230026 · Cited by 3

A Digital Platform for Early Detection and Monitoring the Progression of Alzheimer’s Disease

Panda, S., Akbar, A., Li, C., Khan, O. T., Patel, R., Canevari, J., Lambropoulos, D., & Haghani, S. (2024) · International Conference on Consumer Electronics · doi:10.1109/icce59016.2024.10444426 · Cited by 3

Prosodic characteristics of prepausal words produced by patients with neurodegenerative disease

Cho, S., Agmon, G., Shellikeri, S., Cousins, K. A. Q., Ash, S., Irwin, D. J., Spindler, M., Madiedo, A. D. A., Elman, L. B., Quinn, C. C., et al. (2022) · Speech prosody · doi:10.21437/speechprosody.2022-25 · Cited by 3

Noninvasive Detection of Alzheimer’s Disease from Conversational Speech Using 1D-CNN

Alex, J. S. R., Bhyri, R., Usha, G. P., & Arvind, S. V. (2023) · Lecture notes in electrical engineering · doi:10.1007/978-981-19-8338-2_49 · Cited by 3

Assessing the Linguistic Capacity Across Alzheimer’s Disease and Its Preclinical Stages: Evidence from Narrative Macrostructure in Elderly Speakers of Greek

Καλτσά, Μ., Tsolaki, A., Lazarou, I., Mittas, I., Papageorgiou, M., Papadopoulou, D., Tsimpli, I. M., & Tsolaki, M. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-240496 · Cited by 2

El análisis de las relaciones discursivas como recurso en el seguimiento de la Enfermedad de Alzheimer

Paulino, A., Sierra, G., da Cunha, I., & Hernández-Domínguez, L. (2020) · Revista signos · doi:10.4067/s0718-09342020000100242 · Cited by 2

Speech and Mild Cognitive Impairment detection

Themistocleous, C. K., & Kokkinakis, D. (2019) · ExLing Conferences · doi:10.36505/exling-2019/10/0050/000412 · Cited by 2

Securely Capturing People’s Interactions with Voice Assistants at Home: A Bespoke Tool for Ethical Data Collection

Addlesee, A. (2022) · Workshop on NLP for Positive Impact (NLP4PI) · doi:10.18653/v1/2022.nlp4pi-1.3 · Cited by 2

Leksykalne i syntaktyczne aspekty dyskursu narracyjnego u osób z otępieniem z ciałami Lewy’ego i z chorobą Alzheimera

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

Effects of Normal Cognitive Aging on Spoken Word Frequency: Older Adults Exhibit Higher Function Word Frequency and Lower Content Word Frequency than Young Adults

Burke, E. M., Patrick, K. S., HAMRICK, P. J. J., & Gunstad, J. (2024) · The Open Psychology Journal · doi:10.2174/0118743501354793241220043615 · Cited by 1

Adaptation of main concept analysis for Slovak SLPs: a Pilot study

Kevická, V., Kaščáková, L., Dančík, D., Brandoburová, P., & Marková, J. (2025) · Aphasiology · doi:10.1080/02687038.2025.2473035 · Cited by 1

Connected speech profiles in mild cognitive impairment reflect global cognition

Pellerin, S., Houzé, B., Bedetti, C., Phillips, N. A., & Brambati, S. M. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251329615 · Cited by 1

Audio and linguistic prediction of objective and subjective cognition in older adults: what is the role of different prompts?

Badal, V. D., Tran, C., Brown, H., Glorioso, D., Daly, R., Molina, A. J. A., Moore, A. A., Bilal, E., Lee, E., & Depp, C. A. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1596132 · Cited by 1

Preliminary Results for Measurement of Eye Fixation and Speech to Identify Cognitive Decline

Laghai, A., Wallace, B., Fraser, K., Kunz, M., Goubran, R. A., Knoefel, F. D., Shafiyan, S., & Thomas, N. (2025) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea65319.2025.11068051 · Cited by 1

Speech 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

Natural Speech Analysis Can Reveal Individual Differences in Executive Function Across the Adult Lifespan

Wei, H. T., Kulzhabayeva, D., Erceg, L., Rose, M. K., Spencer, K. A., Robin, J., Bialystok, E., & Meltzer, J. A. (2025) · Journal of Speech Language and Hearing Research · doi:10.1044/2025_jslhr-24-00268 · Cited by 1

Evaluating interval-based indices from tests of semantic verbal fluency for mild cognitive impairment: a systematic review

Burke, E. M., Cousins, E., HAMRICK, P. J. J., & Gunstad, J. (2025) · Applied Neuropsychology Adult · doi:10.1080/23279095.2025.2592881 · Cited by 1

Preserving Connection: The Vital Window of Speech-Language Therapy Intervention in Dementia Care—A Case Study

Combs, C., & Venkatesh, M. (2026) · Perspectives of the ASHA Special Interest Groups · doi:10.1044/2025_persp-25-00125 · Cited by 1

Applications of machine learning for speech-based biomarkers in early Alzheimer’s disease and mild cognitive impairment: a narrative review

Jinming, X., Kathiresan, T., Siddiqui, A., & Vogel, A. P. (2026) · Future Neurology · doi:10.1080/14796708.2026.2692075 · Cited by 1

SEMANTIC AND PRAGMATIC IMPAIRMENTS OF PERSON WITH ALZHEIMER’S DISEASE

Qonita, Z., & Indah, R. N. (2023) · LUNAR · doi:10.36526/ln.v7i1.2618 · Cited by 1

Exploring Spoken Discourse and Its Neural Correlates in Women With Alzheimer's Disease With Low Levels of Education and Socioeconomic Status

Malcorra, B. L. C., García, A. O., Marcotte, K., de Paz, H., Schilling, L. P., Filho, I. G. D. S., Soder, R. B., Franco, A. D. R., Loureiro, F., & Hübner, L. C. (2023) · American Journal of Speech-Language Pathology · doi:10.1044/2023_ajslp-23-00137 · Cited by 1

Lexical and semantic features of Chinese-speaking older adults with mild cognitive impairment across elicitation methods

Che, Y., & Huang, L. (2025) · Aphasiology · doi:10.1080/02687038.2025.2510323 · Cited by 1

Machine Learning to Assess Language Impairments in Older AdultsPreprint

Parsapoor, M., Alam, M. R., & Mihailidis, A. (2020) · doi:10.21203/rs.3.rs-109610/v1 · Cited by 1

Computer-based characterization of language alterations throughout the Alzheimer's disease continuum

Domínguez, H., & Elena, L. (2019)

A comparison of clinician assessment of speech versus automated speech analysis in mild cognitive impairment and Alzheimer’s dementia

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

Does Bilingual Experience Delay

Ling, W. (2021) · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · doi:10.2991/assehr.k.211220.367

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

A Comparison Between First and Second Language Generative Discourse Production in Bilingual Persons With Mild Dementia

Srikant, D., Yoder, E., & Stead, A. L. (2025) · Perspectives of the ASHA Special Interest Groups · doi:10.1044/2025_persp-24-00130

Cross-Sectional Analysis of Alzheimer Disease Effects on Oral Discourse in a Picture Description Task

Tomoeda, C. K., Bayles, K. A., Trosset, M. W., Azuma, T., & McGeagh, A. (1996) · Alzheimer Disease & Associated Disorders · doi:10.1097/00002093-199601040-00006 · Cited by 72

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

Computer-based characterization of language alterations throughout the Alzheimer's disease continuum

Hernández-Domínguez, L. (2019) · Espace ÉTS (ETS)

Spoken Discourse Characteristics of Bengali Speakers with Alzheimer's Disease: a Comparison of Picture Description and Story Narrative Tasks

Dutta, M., Bose, A., Dash, N. S., Dutt, A., & Nandi, R. (2021)

Impaired verbal description ability assessed by the Picture Description Task in Alzheimer's disease

Shimada, M., Meguro, K., Yamazaki, H., Horikawa, A., Hayasaka, C., Yamaguchi, S., Yamaguchi, K., Katsuyama, N., Nakano, M., & Yamadori, A. (1998) · Archives of Gerontology and Geriatrics · doi:10.1016/s0167-4943(98)00099-5 · Cited by 27