- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05298501
Assessing Performance on Speech Tasks Via Crowdsourced Participants (AMYWEB)
AMYWEB Validation Studies: Assessing Performance on Speech Tasks Via Crowdsourced Participants
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The AMYWEB study will validate speech tasks developed by NOVOIC in different population samples, including normative samples, samples recruited for enhanced demographic diversity, and participants with reported cognitive impairment.
Participants will be research volunteers recruited online and via crowdsourcing platforms. Six rounds of recruitment will be completed, evaluating different parallel variants of the Automatic Story Recall Task (ASRT), and fluency tasks. During each recruitment round participants will complete a speech test battery and questionnaires during one assessment (Baseline). Speech tasks will be recorded and later analyzed on Novoic's technology platform. All assessments will be fully online and remote.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Contact
- Name: Marton Meszaros, MD
- Phone Number: 07849522891
- Email: amyweb@novoic.com
Study Locations
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London, United Kingdom
- Novoic Ltd
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- First language must be English
- Residing in the USA
- Willing to participate in a study investigating speech and dementia
- Able to provide informed consent
- Access to personal computing device that is capable of audio and video recording, and able to connect to the internet
Since key research questions are focused primarily on older-age speech and cognition, initial recruitment will be focused on older adult age brackets, which may be extended to younger adulthood if the desired sample sizes are not attained.
Exclusion Criteria:
- No formal exclusion criteria will apply at the point of recruitment and testing. however, participants with a reported history of neurological conditions or head injury, and current depression will be excluded from normative data development.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
AMYWEB-Normative
This cohort assessed over six recruitment and test phases, will be sampled to be as closely representative of the demographic population as possible.
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No interventions/exposures will be administered or evaluated
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AMYWEB-Diversity
This cohort assessed over two recruitment and test phases will oversample participants from minority and mixed ethnic and racial backgrounds as well as participants from lower educational backgrounds.
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No interventions/exposures will be administered or evaluated
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AMYWEB-MCI
This cohort assessed and recruited over one test phase, will include participants with a reported diagnosis of mild cognitive impairment or dementia.
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No interventions/exposures will be administered or evaluated
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Age, sex, and education adjusted normative scores for the Automatic Story Recall Task (ASRT) test variants derived via linear regression analysis.
Time Frame: Baseline
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Participants will complete a story recall task (ASRT), which will be administered in triplets (3x stories) with immediate and delayed recall assessed. Six different test phases, recruiting different participant samples, will be completed in which six parallel ASRT triplets will be separately evaluated. Normative data will be generated for each test triplet. |
Baseline
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Normative data will be derived for shorter variants of the ASRT test battery derived via linear regression analysis.
Time Frame: Baseline
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Age, sex, and education adjusted normative scores for shorter test batteries established in the same way as the primary outcome for each distinct ASRT story triplet, using data from: 1 immediate recall, 2 immediate recalls, 3 immediate recalls, 3 immediate + 1 delayed recall, 3 immediate + 2 delayed recalls.
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Baseline
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Age, sex, and education adjusted normative scores for the category fluency task performance derived via linear regression analysis.
Time Frame: Baseline
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During two of the study phases, participants will complete category fluency tests (participants will be asked to name as many Animals or Vegetables as they can within one minute).
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Baseline
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Age, sex, and education adjusted normative scores for the letter fluency task performance derived via linear regression analysis.
Time Frame: Baseline
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During two of the study phases, participants will complete letter fluency tests (participants will be asked to say as many words as they can think of beginning with the letters F or S).
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Baseline
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The effect of demographic differences on task performance will be evaluated via linear regression analysis.
Time Frame: Baseline
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The effects of age, sex, education and ethnicity on cognitive outcome measures will be evaluated for all cognitive tasks separately.
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Baseline
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Demographic and cultural biases will be examined via group or pairwise comparison of transcription error rate and scoring errors on a simple reading task.
Time Frame: Baseline
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In data from a simple reading task evaluated in phases 1 and 2 of the study, transcription errors and automated scoring metrics will be evaluated alongside key demographic variables to test for cultural and demographic biases in automated transcription and scoring.
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Baseline
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Performance differences in parallel ASRT variant tasks will be examined via task-wise comparison.
Time Frame: Baseline
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The distribution of test scores across parallel ASRT variants will be evaluated.
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Baseline
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Area under the curve (AUC) of the receiver operating characteristic (ROC) curve of the binary classifier distinguishing between the MCI sample and the normative sample using as input the speech elicited during cognitive tasks.
Time Frame: Baseline
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Case control comparison of task performance between participants with AMYWEB-MCI and the AMYWEB-Normative population
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Baseline
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Area under the curve (AUC) of the receiver operating characteristic (ROC) curve of the binary classifier distinguishing between depressed and non-depressed participants using as input the speech elicited during cognitive tasks.
Time Frame: Baseline
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All participants will complete the Participant Health Questionnaire (PHQ-8) self-report measure, alongside cognitive assessment.
Participants will be separated into low depressive symptomatology (PHQ-8 scores<10), and high depressive symptomatology (PHQ-8 score>=10) groups.
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Baseline
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The agreement between the PHQ-8 and the corresponding regression model predicting depressive symptomatology from speech data elicited during tasks will be evaluated.
Time Frame: Baseline
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All participants will complete the Participant Health Questionnaire (PHQ-8) self-report measure, alongside cognitive assessment. A continuous predictor of PHQ-8 score from speech data will be derived and covariation with continuous PHQ-8 scores will be evaluated. |
Baseline
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Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- NOV-0300
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
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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