Prediction of Amyloid and Mild Cognitive Impairment in Early Stage Alzheimer's Disease From Remot… (NCT04928690) | Clinical Trial Compass
UnknownNot Applicable
Prediction of Amyloid and Mild Cognitive Impairment in Early Stage Alzheimer's Disease From Remote Speech Phenotyping
140 participantsStarted 2021-06-20
Plain-language summary
The S22 study investigates, in a cross-sectional study, the ability of algorithms that analyse acoustic and linguistic patterns of spoken language to predict the presence of amyloid positivity in early stage Alzheimer's disease, specifically in Mild Cognitive Impairment (MCI) and cognitively normal (CN) cohorts; and whether similar algorithms can predict cognitive functioning, in classifying MCI vs CN.
Who can participate
Age range50 Years – 85 Years
SexALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion Criteria:
* Amyloid status must be known, based on an amyloid PET scan or CSF amyloid test, no older than 30 months at the time of consent for Arm 2 and Arm 4 participants (amyloid negative Arms).
* Amyloid status must be known, based on an amyloid PET scan or CSF amyloid test, no older than 60 months at the time of consent for Arm 1 and Arm 3 (amyloid positive Arms).
* Subjects must be aged 50-85 (inclusive).
* Subjects must have MMSE scores of 23-30 (inclusive) based on a test not older than 1 month at the time of the visit.
* Date of diagnosis (if applicable) maximum of five years prior to consent.
* Subjects' first language must be English.
* Willing to participate in a study investigating speech and cognitive impairment.
* Able to provide valid informed consent.
* Able to use, or has a caregiver who is able to use a smartphone device.
* Has access to a smartphone device running an operation system of Android 6 or above; or iOS 10 or above.
If taking part in the study through virtual visits, the following inclusion criteria also applies:
* Able to use, or has a caregiver who is able to use a personal computer, notebook or tablet.
* Has access to a personal computing device of that is running an operating system of macOS X with macOS 10.9 or later, or Windows 7 or above, or Ubuntu 12.04 or higher; OR has access internet browser software Internet Explorer version 11 or above; or Microsoft Edge version 12 or above, or Firefox version 27 or above, or Google Chrom…
What they're measuring
1
Area under the curve (AUC) of the receiver operating characteristic (ROC) curve of the binary classifier distinguishing between amyloid positive (Arms 1 and 3) and amyloid negative (Arms 2 and 4) Arms using speech recordings as input.