ClinicalTrials.gg
WithdrawnNCT04041895Updated Nov 22, 2022

Detecting Probable Alzheimer's Disease From Speech Using Linguistical Analysis

An observational study in Alzheimer Disease and Dementia, sponsored by East Tennessee State University. Withdrawn at 1 site in United States. Per ClinicalTrials.gov, last updated 2022-11-22.

Sponsored by East Tennessee State University · Observational

Why this study was withdrawn
Unsuccessful in recruiting participants for that study because we needed subjects who had performed Amyloid PET imaging in the last year
Study type
Observational
Model
Case-control
Time perspective
Cross-sectional
Enrollment
0
Sex
All
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Study summary

The object of this study is to investigate the use of linguistic deficits from speech samples for the early detection of Mild Cognitive Impairment and probable Alzheimer's disease. It will also evaluate whether the result of the Amyloid PET scan would confirm the effectiveness of a less expensive and less intrusive diagnostic technique through speech

Read the detailed description

This study will investigate the use of linguistic deficits through a computational diagnostic model for the prediction of Mild Cognitive Impairment (MCI) and Probable Alzheimer's disease (PrAD) from speech samples (verbal utterances). The premise is that MCI and PrAD are characterized by the deterioration of nerve cells that control cognitive speech and language processes, which consequently affects how patients compose verbal utterances. As the Amyloid Positron Emission Tomography (PET) scan is making advances in giving confirmatory evidence of the existence of plaques in the brain, there is the opportunity to investigate whether the result of the scan would confirm the effectiveness of a less expensive and less intrusive diagnostic technique. In this study, participants of a previous IRB approved study on Imaging Dementia-Evidence for Amyloid Scanning (IDEAS) who consent to participate in the new study will be requested to perform a basic descriptive task. The main task to be done by the participants is to verbally describe the scenes on a projected image, while their verbal utterances will be recorded via an audio recorder. The descriptive task is expected to take between 10 to 15 minutes on average. Participants will be required to describe the scenes on the projected Cookie-Theft image (http://www.amyspeechlanguagetherapy.com/thecookie- theft-picture.html). The image is part of the Provide a brief but thorough description of the study. What is the study about? This does not need to contain a summary of background literature. It should just summarize the study itself. Boston Diagnostic Aphasia Examination (BDAE-3) and it is adapted in our study for the purpose of capturing the complexity in the linguistic expression similar to the DementiaBank project (https://talkbank.org/media/DementiaBank/Pitt/cookie/). Note that we are NOT conducting any psychological examination using the BDAE-3, we have only referenced the source of the Cookie-Theft image, which is publicly available for research and has been used for decades. An example of the task is demonstrated in this video: https://www.youtube.com/watch?v=1NB8wBBguMg. The transcripts of the recorded interview will be analyzed by our proposed computational model to detect the presence of Mild Cognitive Impairment or probable Alzheimer's disease. Finally, the IDEAS study PET scan data would be used in conjunction with the transcripts of the recorded interview to compare the results of the linguistic analysis of the transcript with those of the PET scan in making Mild Cognitive Impairment or probable Alzheimer's Disease diagnoses.

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Conditions studied

  • Alzheimer Disease
  • Dementia

Keywords

  • Alzheimer's Disease
  • Dementia
  • Linguistics
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In context

Alzheimer Disease

3,965 studies on the registry are indexed under Alzheimer Disease; 926 are open to participants now.

Browse Alzheimer Disease studies →

Lead sponsor

East Tennessee State University is the lead sponsor of 21 studies on the registry; 2 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Participants would have undertaken an Amyloid PET scan to confirm the presence or absence of Amyloid plaques in the brain through a previously approved study on Alzheimer's disease with Amyloid PET imaging or at the request of their physician to determine possible cause of suspected cognitive decline.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Participants who have undergone the (MMSE).
  • Participants who have undergone Amyloid PET scan with a diagnosis of having the Amyloid plaques or not.
  • Participants with moderate or fluent English speaking ability.

Exclusion criteria

Exclusion Criteria:

  • Participants who cannot speak as the data collection process needs to obtain speech samples.
  • Participants who are severely demented or at a very late stage of Alzheimer's disease.
  • Participants with stroke.
  • Participants who report a history of other neurodegenerative disorders than MCI and AD.
  • Participants with chronic vision impairment or who cannot see with the aid of corrective glasses.
  • Participants who cannot speak English.
  • A participant who have been diagnosed with /AIDS as this may have a cognitive effect on its own.
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

MMSE and MoCA

Short tests of memory and thinking, each scored out of 30. Lower scores suggest more difficulty; criteria give a range, either to include people with memory problems or to leave them out.

HIV

The human immunodeficiency virus, which weakens the immune system.

Many studies now accept people whose HIV is controlled on treatment, judged by the viral load and the CD4 count. Check the limits this study sets.

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Study design

Observational model
Case-control
Time perspective
Cross-sectional
Enrollment
0 participants (actual)
Patient registry
No

Groups and cohorts

  • Alzheimer's Disease

    Those individuals who possess a significant amyloid burden per results of a previous amyloid PET scan radiology report.

    Other: Audio speech recording

  • Control

    Those individuals who do not possess a significant amyloid burden per results of a previous amyloid PET scan radiology report.

    Other: Audio speech recording

Interventions

  • OtherAudio speech recording

    Audio recording of speech sample from subject description of Cookie-Theft image.

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What researchers measure

Primary outcomes

  1. Analysis of speech audio recording describing the "Cookie-Thief Image" using proposed computational model designed by PI for determination of Alzheimer's disease

    Analysis of speech audio recording of participants description of Cookie-Thief Image The image is part of the Provide a brief but thorough description of the study. What is the study about? This does not need to contain a summary of background literature. It should just summarize the study itself. Boston Diagnostic Aphasia Examination (BDAE-3) and it is adapted in our study for the purpose of capturing the complexity in the linguistic expression similar to the DementiaBank project (https://talkbank.org/media/DementiaBank/Pitt/cookie/) using proposed computational model for determination of Alzheimer's disease

    Time frame: through study completion, an average of 1 year

Secondary outcomes

  1. MMSE

    Mini Mental State Examination

    Time frame: through study completion, an average of 1 year

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Study locations

1 site
  • East Tennessee State University
    Johnson City, Tennessee 37614, United States
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References and documents

Publications

  • Orimaye, S. O., Wong, J. S. M., & Golden, K. J. (2014, June). Learning predictive linguistic features for Alzheimer's disease and related dementias using verbal utterances. In Proceedings of the 1st Workshop on Computational Linguistics and Clinical Psychology (CLPsych) (pp. 78-87). sn.
  • Orimaye SO, Wong JS, Golden KJ, Wong CP, Soyiri IN. Predicting probable Alzheimer's disease using linguistic deficits and biomarkers. BMC Bioinformatics. 2017 Jan 14;18(1):34. doi: 10.1186/s12859-016-1456-0. PubMed 28088191 ↗
  • Roark B, Mitchell M, Hosom JP, Hollingshead K, Kaye J. Spoken Language Derived Measures for Detecting Mild Cognitive Impairment. IEEE Trans Audio Speech Lang Process. 2011 Sep 1;19(7):2081-2090. doi: 10.1109/TASL.2011.2112351. PubMed 22199464 ↗
  • Fraser KC, Meltzer JA, Graham NL, Leonard C, Hirst G, Black SE, Rochon E. Automated classification of primary progressive aphasia subtypes from narrative speech transcripts. Cortex. 2014 Jun;55:43-60. doi: 10.1016/j.cortex.2012.12.006. Epub 2012 Dec 21. PubMed 23332818 ↗
  • Prud'hommeaux E, Roark B. Graph-Based Word Alignment for Clinical Language Evaluation. Comput Linguist Assoc Comput Linguist. 2015 Dec;41(4):549-578. doi: 10.1162/coli_a_00232. Epub 2015 Dec 1. PubMed 34334943 ↗
  • Verma M, Howard RJ. Semantic memory and language dysfunction in early Alzheimer's disease: a review. Int J Geriatr Psychiatry. 2012 Dec;27(12):1209-17. doi: 10.1002/gps.3766. Epub 2012 Feb 1. PubMed 22298328 ↗
  • Reilly J, Rodriguez AD, Lamy M, Neils-Strunjas J. Cognition, language, and clinical pathological features of non-Alzheimer's dementias: an overview. J Commun Disord. 2010 Sep-Oct;43(5):438-52. doi: 10.1016/j.jcomdis.2010.04.011. Epub 2010 May 6. PubMed 20493496 ↗
  • Klimova B, Maresova P, Valis M, Hort J, Kuca K. Alzheimer's disease and language impairments: social intervention and medical treatment. Clin Interv Aging. 2015 Aug 27;10:1401-7. doi: 10.2147/CIA.S89714. eCollection 2015. PubMed 26346123 ↗
  • Fraser KC, Meltzer JA, Rudzicz F. Linguistic Features Identify Alzheimer's Disease in Narrative Speech. J Alzheimers Dis. 2016;49(2):407-22. doi: 10.3233/JAD-150520. PubMed 26484921 ↗
  • 10. Lunsford, R., & Heeman, P. A. (2015, September). Using linguistic indicators of difficulty to identify mild cognitive impairment. In INTERSPEECH (pp. 658-662).

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: No

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Nov 22, 2022, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT04041895
Lead sponsor
East Tennessee State University
Responsible party
Sylvester Olubolu Orimaye (Research Associate in the College of Public Health, East Tennessee State University) — Principal investigator
First posted
Aug 1, 2019
Start date
Aug 13, 2018
Primary completion
Aug 2020 (estimated)
Completion
Aug 2020 (estimated)
Last update
Nov 22, 2022

Study contacts

Sylvester O Orimaye, PhD, MPH
principal investigator · East Tennessee State University

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is withdrawn, as verified in Nov 2022. You cannot join it, but the record below documents what was studied.

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