Detecting Probable Alzheimer's Disease From Speech Using Linguistical Analysis
Detecting Mild Cognitive Impairment and Probable Alzheimer's Disease From Speech Using Linguistic Deficits With Amyloid PET Imaging as a Baseline.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Contacts and Locations
Study Locations
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Tennessee
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Johnson City, Tennessee, United States, 37614
- East Tennessee State University
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Participants who have undergone the Mini Mental State Examination (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:
- 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 HIV/AIDS as this may have a cognitive effect on its own.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Alzheimer's Disease
Those individuals who possess a significant amyloid burden per results of a previous amyloid PET scan radiology report.
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Audio recording of speech sample from subject description of Cookie-Theft image.
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Control
Those individuals who do not possess a significant amyloid burden per results of a previous amyloid PET scan radiology report.
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Audio recording of speech sample from subject description of Cookie-Theft image.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Analysis of speech audio recording describing the "Cookie-Thief Image" using proposed computational model designed by PI for determination of Alzheimer's disease
Time Frame: through study completion, an average of 1 year
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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
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through study completion, an average of 1 year
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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MMSE
Time Frame: through study completion, an average of 1 year
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Mini Mental State Examination
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through study completion, an average of 1 year
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Sylvester O Orimaye, PhD, MPH, East Tennessee State University
Publications and helpful links
General Publications
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 10. Lunsford, R., & Heeman, P. A. (2015, September). Using linguistic indicators of difficulty to identify mild cognitive impairment. In INTERSPEECH (pp. 658-662).
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 0218.16sw
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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