Detecting Probable Alzheimer's Disease From Speech Using Linguistical Analysis

Withdrawn before enrolling

Conditions studied: Alzheimer Disease, Dementia

In brief

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

Key facts

Study ID

NCT04041895

Run by

East Tennessee State University

People needed

0

Starts

2018-08-13

Expected to finish

2020-08-01

Last updated by the study team

2022-11-22

Who can join

Age: any. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• 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.

You may not qualify if…

• 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.

Where it is running

• East Tennessee State University — Johnson City, Tennessee, United States

Full record on ClinicalTrials.gov

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