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CompletedNCT04828122AMYPREDUpdated Sep 5, 2021

Amyloid Prediction in Early Stage Alzheimer's Disease From Acoustic and Linguistic Patterns of Speech

An observational study in Alzheimer Disease, Preclinical Alzheimer's Disease and Prodromal Alzheimer's Disease, sponsored by Novoic Limited. Completed at 4 sites in United Kingdom. Open to participants aged 50 Years to 85 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2021-09-05.

Sponsored by Novoic Limited · Observational

Study type
Observational
Model
Case-control
Time perspective
Cross-sectional
Enrollment
141
Ages
50 Years to 85 Years
Sex
All
01

Study summary

The primary objective of the study is to evaluate whether a set of algorithms analysing acoustic and linguistic patterns of speech can detect amyloid-specific cognitive impairment in early stage Alzheimer's disease, as measured by the 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. Secondary objectives include (1) evaluating whether similar algorithms can detect amyloid-specific cognitive impairment in the cognitively normal (CN) and MCI Arms respectively, as measured on binary classifier performance; (2) whether they can detect MCI, as measured on binary classifier performance (AUC, sensitivity, specificity, Cohen's kappa), and the agreement between the PACC5 composite and the corresponding regression model predicting it in all Arms pooled (Wilcoxon signed-rank test, CIA); (3) evaluating variables that can impact performance of such algorithms of covariates from the speaker (age, gender, education level) and environment (measures of acoustic quality).

02

Conditions studied

  • Alzheimer Disease
  • Preclinical Alzheimer's Disease
  • Prodromal Alzheimer's Disease
  • Alzheimer's Disease (Incl Subtypes)
  • Mild Cognitive Impairment

Keywords

  • Alzheimer's disease
  • Preclinical Alzheimer's disease
  • Prodromal Alzheimer's disease
  • Mild Cognitive Impairment
  • Normal Cognition
  • Amyloid
  • Speech
  • Acoustic
  • Language
  • Linguistic
  • Machine Learning
  • Artificial Intelligence
03

In context

Alzheimer Disease

3,678 studies on the registry are indexed under Alzheimer Disease; 872 are open to participants now.

This study's enrollment of 141 is below the median of 200 across 751 observational studies indexed under Alzheimer Disease.

Browse Alzheimer Disease studies →

Lead sponsor

Novoic Limited is the lead sponsor of 9 studies on the registry; none are open to participants now.

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

04

Who can participate

Ages eligible
50 Years to 85 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

All participants of the study are based in the UK.

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 Alzheimer's disease.
  • Availability of a person ('caregiver') who in the investigator's judgment has frequent and sufficient in-person contact with the participant, and is able to provide accurate information regarding the participant's cognitive and functional abilities. This is most likely met when living with a caregiver.
  • 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 7 or above; or iOS 11 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 Chrome version 30 or above, or Safari version 7 or above; AND capable of audio and video recording; AND able to connect to the internet.

Exclusion criteria

Exclusion Criteria:

  • Clinically significant unstable psychiatric illness in 6 months.
  • Diagnosis of Generalised Anxiety Disorder (GAD).
  • Diagnosis of Major Depressive Disorder (MDD).
  • History or presence of stroke within the past 2 years.
  • Documented history of transient ischemic attack or unexplained loss of consciousness within the last 12 months.
  • The participant is using drugs to treat symptoms related to AD, and the doses of these drugs were not stable for at least 8 weeks prior to consent.
05

Study design

Observational model
Case-control
Time perspective
Cross-sectional
Enrollment
141 participants (actual)
Target follow-up
2 Weeks
Patient registry
Yes

Groups and cohorts

  • Arm 1: MCI amyloid positive

    1. Meet the National Institute of Aging - Alzheimer's Association (NIA-AA) core clinical criteria (2011) for MCI due to Alzheimer's or Mild Alzheimer's Dementia 2. Positive amyloid PET or amyloid CSF status. 3. MMSE 23-30 (inclusive)

  • Arm 2: MCI amyloid negative

    1. Non-AD Mild Cognitive Impairment (MCI) 2. Negative amyloid PET or amyloid CSF status. 3. MMSE 23-30 (inclusive)

  • Arm 3: CN amyloid positive

    1. Absence of a diagnosis of cognitive disorder and/or subjectively reported cognitive decline 2. Positive amyloid PET or amyloid CSF status. 3. MMSE 26-30 (inclusive)

  • Arm 4: CN amyloid negative

    1. Absence of a diagnosis of cognitive disorder and/or subjectively reported cognitive decline 2. Negative amyloid PET or amyloid CSF status. 3. MMSE 26-30 (inclusive)

06

What researchers measure

Primary outcomes

  1. The 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.

    Time frame: baseline

Secondary outcomes

  1. The sensitivity, specificity and Cohen's kappa of the binary classifier distinguishing between amyloid positive (Arms 1 and 3) and amyloid negative (Arms 2 and 4) Arms.

    Time frame: baseline

  2. The AUC, sensitivity, specificity and Cohen's kappa of the binary classifier distinguishing between amyloid positive cognitively normal (CN) (Arm 3) and amyloid negative cognitively normal (CN) (Arm 4) Arms.

    Time frame: baseline

  3. The AUC, sensitivity, specificity and Cohen's kappa of the binary classifier distinguishing between amyloid positive MCI (Arm 1) and amyloid negative MCI (Arm 2) Arms.

    Time frame: baseline

  4. The AUC, sensitivity, specificity and Cohen's kappa of the binary classifier distinguishing between the MCI (Arms 1 and 2) and the CN (Arms 3 and 4) Arms.

    Time frame: baseline

  5. The agreement between the PACC5 composite and the corresponding regression model predicting it in all four Arms, as measured by the coefficient of individual agreement (CIA).

    Time frame: baseline

  6. For each classifier/regressor in outcome 1-6, the correlation between the AUC/CIA and each age group, gender and speech-to-reverberation modulation energy ratio group, as measured by the Kendall rank correlation coefficient.

    Time frame: baseline

07

Study locations

4 sites
  • Re:Cognition Health
    Birmingham, B16 8LT, United Kingdom
  • Re:Cognition Health
    Guildford, GU2 7YD, United Kingdom
  • Re:Cognition Health
    London, W1G 9JF, United Kingdom
  • Re:Cognition Health
    Plymouth, PL68BT, United Kingdom
08

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Sep 5, 2021, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT04828122
Lead sponsor
Novoic Limited
Responsible party
Sponsor
First posted
Apr 1, 2021
Start date
Nov 19, 2020
Primary completion
Aug 6, 2021
Completion
Aug 6, 2021
Last update
Sep 5, 2021

Study contacts

Emil Fristed, MSc
principal investigator · Novoic Limited

Oversight

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

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This study is completed, as verified in Mar 2021. You cannot join it, but the record below documents what was studied.

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