This paper is in the following e-collection/theme issue:

Cognitive Training for the Elderly (118) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (922) Dementia and Cognitive Decline (600) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (540) Usability and Technology Use Studies with Elder Subjects (232) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (94)

Published on in Vol 5, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2021.10.12.21264879v1, first published .
Validation of a Remote and Fully Automated Story Recall Task to Assess for Early Cognitive Impairment in Older Adults: Longitudinal Case-Control Observational Study

Validation of a Remote and Fully Automated Story Recall Task to Assess for Early Cognitive Impairment in Older Adults: Longitudinal Case-Control Observational Study

Validation of a Remote and Fully Automated Story Recall Task to Assess for Early Cognitive Impairment in Older Adults: Longitudinal Case-Control Observational Study

Authors of this article:

Caroline Skirrow1 Author Orcid Image ;   Marton Meszaros1 Author Orcid Image ;   Udeepa Meepegama1 Author Orcid Image ;   Raphael Lenain1 Author Orcid Image ;   Kathryn V Papp2, 3 Author Orcid Image ;   Jack Weston1 Author Orcid Image ;   Emil Fristed1 Author Orcid Image
Article Authors Cited by (20) Tweetations (9) Metrics

Journals

  1. Fristed E, Skirrow C, Meszaros M, Lenain R, Meepegama U, Cappa S, Aarsland D, Weston J. A remote speech‐based AI system to screen for early Alzheimer's disease via smartphones. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2022;14(1) View
  2. Schäfer S, Mallick E, Schwed L, König A, Zhao J, Linz N, Bodin T, Skoog J, Possemis N, ter Huurne D, Zettergren A, Kern S, Sacuiu S, Ramakers I, Skoog I, Tröger J, O’Bryant S. Screening for Mild Cognitive Impairment Using a Machine Learning Classifier and the Remote Speech Biomarker for Cognition: Evidence from Two Clinically Relevant Cohorts. Journal of Alzheimer's Disease 2023;91(3):1165 View
  3. Yamada Y, Shinkawa K, Nemoto M, Nemoto K, Arai T. A mobile application using automatic speech analysis for classifying Alzheimer's disease and mild cognitive impairment. Computer Speech & Language 2023;81:101514 View
  4. Sperling S, Acheson S, Fox-Fuller J, Colvin M, Harder L, Cullum C, Randolph J, Carter K, Espe-Pfeifer P, Lacritz L, Arnett P, Gillaspy S. Tele-Neuropsychology: From Science to Policy to Practice. Archives of Clinical Neuropsychology 2024;39(2):227 View
  5. Kobayashi M, Yamada Y, Shinkawa K, Nemoto M, Ota M, Nemoto K, Arai T. Vocal expression of emotions discriminates dementia with Lewy bodies from Alzheimer's disease. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2024;16(2) View
  6. Li A, Li J, Chai J, Wu W, Chaudhary S, Zhao J, Qiang Y. Detection of Mild Cognitive Impairment Through Hand Motor Function Under Digital Cognitive Test: Mixed Methods Study. JMIR mHealth and uHealth 2024;12:e48777 View
  7. van den Berg R, de Boer C, Zwan M, Jutten R, van Liere M, van de Glind M, Dubbelman M, Schlüter L, van Harten A, Teunissen C, van de Giessen E, Barkhof F, Collij L, Robin J, Simpson W, Harrison J, van der Flier W, Sikkes S. Digital remote assessment of speech acoustics in cognitively unimpaired adults: feasibility, reliability and associations with amyloid pathology. Alzheimer's Research & Therapy 2024;16(1) View
  8. Wilson S, Teghipco A, Sayers S, Newman-Norlund R, Newman-Norlund S, Fridriksson J. Story Recall in Peer Conflict Resolution Discourse Task to Identify Older Adults Testing Within Range of Cognitive Impairment. American Journal of Speech-Language Pathology 2024;33(5):2582 View
  9. Miller M, Diaz A, Conti C, Albala B, Flenniken D, Fockler J, Kwang W, Sacrey D, Ashford M, Skirrow C, Weston J, Fristed E, Farias S, Korecka M, Wan Y, Aisen P, Beckett L, Harvey D, Lee E, Petersen R, Shaw L, Okonkwo O, Mindt M, Weiner M, Nosheny R. The ADNI4 Digital Study: A novel approach to recruitment, screening, and assessment of participants for AD clinical research. Alzheimer's & Dementia 2024;20(10):7232 View
  10. Skirrow C, Meepegama U, Weston J, Miller M, Nosheny R, Albala B, Weiner M, Fristed E. Storyteller in ADNI4: Application of an early Alzheimer's disease screening tool using brief, remote, and speech‐based testing. Alzheimer's & Dementia 2024;20(10):7248 View
  11. Nosheny R, Miller M, Conti C, Flenniken D, Ashford M, Diaz A, Fockler J, Truran D, Kwang W, Kanoria S, Veitch D, Green R, Weiner M. The ADNI Administrative Core: Ensuring ADNI's success and informing future AD clinical trials. Alzheimer's & Dementia 2024;20(12):9004 View
  12. Weiner M, Kanoria S, Miller M, Aisen P, Beckett L, Conti C, Diaz A, Flenniken D, Green R, Harvey D, Jack C, Jagust W, Lee E, Morris J, Nho K, Nosheny R, Okonkwo O, Perrin R, Petersen R, Rivera‐Mindt M, Saykin A, Shaw L, Toga A, Tosun D, Veitch D. Overview of Alzheimer's Disease Neuroimaging Initiative and future clinical trials. Alzheimer's & Dementia 2025;21(1) View
  13. Park Y, Cho Y, Kim N, Lee J, Park K, Yoon J, Ha J. Information Retrieval Performance on Story Recall in Normal Aging. Communication Sciences & Disorders 2024;29(4):859 View
  14. Shakeri A, Farmanbar M. Natural language processing in Alzheimer's disease research: Systematic review of methods, data, and efficacy. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2025;17(1) View
  15. Patel J, Christianson T, Monahan L, Frank R, Fan W, Stricker J, Kremers W, Karstens A, Machulda M, Fields J, Hassenstab J, Jack C, Botha H, Graff-Radford J, Petersen R, Stricker N. Usability of the Mayo Test Drive remote self-administered web-based cognitive screening battery in adults aged 35–100 with and without cognitive impairment. Journal of Clinical and Experimental Neuropsychology 2025;47(1-2):67 View
  16. Shankar R, Bundele A, Mukhopadhyay A. A Systematic Review of Natural Language Processing Techniques for Early Detection of Cognitive Impairment. Mayo Clinic Proceedings: Digital Health 2025;3(2):100205 View
  17. Panzavolta A, Arighi A, Guido E, Lavorgna L, Di Lorenzo F, Dodich A, Cerami C. Patient-Related Barriers to Digital Technology Adoption in Alzheimer Disease: Systematic Review. JMIR Aging 2025;8:e64324 View
  18. Choi S, Park K, Yoon J, Ha J. Pause Characteristics in Story Recall Tasks of Patients with Normal Pressure Hydrocephalus. Communication Sciences & Disorders 2025;30(1):163 View
  19. Polk S, Öhman F, Hassenstab J, König A, Papp K, Schöll M, Berron D. A scoping review of remote and unsupervised digital cognitive assessments in preclinical Alzheimer’s disease. npj Digital Medicine 2025;8(1) View
  20. van den Berg R, van der Landen S, Keijzer M, van Gils A, van Dam M, Ziesemer K, Jutten R, Harrison J, de Boer C, van der Flier W, Sikkes S. Smartphone- and Tablet-Based Tools to Assess Cognition in Individuals With Preclinical Alzheimer Disease and Mild Cognitive Impairment: Scoping Review. Journal of Medical Internet Research 2025;27:e65297 View