TapTalkTest Project:Development of a Non-invasive Screening Test to Detect Risk of Alzheimer's Disease Pathology
TapTalkTest
TapTalkTest: Development of a Non-invasive Screening Test to Detect Risk of Alzheimer's Disease Pathology
1 other identifier
observational
1,000
1 country
1
Brief Summary
This project aims to produce a solution for the rising incidence of dementia. This is particularly pertinent in Tasmania, Australia, with a rapidly ageing population and the oldest demographics of all Australian states. The team will develop TapTalk, a new screening test that detects risk of Alzheimer's disease (AD) pathology. TapTalk, will record a person's hand movements and speech patterns with a smartphone. Computer algorithms will learn which patterns of data are associated with AD pathology. This innovative test is based on: (i) emerging research that fine motor control required for hand and speech movements is sensitive to early AD pathology and (ii) the investigators' new machine learning methods.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Aug 2022
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
August 1, 2022
CompletedFirst Submitted
Initial submission to the registry
October 29, 2023
CompletedFirst Posted
Study publicly available on registry
November 2, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2025
CompletedNovember 14, 2023
November 1, 2023
2.8 years
October 29, 2023
November 10, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Classification accuracy for blood biomarker of Alzheimer's disease, ptau181 in adults without cognitive symptoms
Area under a receiver operating characteristic (ROC) curve - AUC
2024
Odds ratio of cognitive decline in adults without cognitive symptoms
Mixed effects logistic regression will be used to estimate the odds of a participant being confirmed as 'declining' at time T2 (24 months) conditioned on TapTalk score at time T1 (12 months), where the main measure of cogitive function is the CANTAB paired associate learning (PAL) test.
2025
Classification accuracy for prospectively predicting risk of MCI and AD in adults with cognitive symptoms
The investigators will calculate AUC for TapTalk and MoCA. 95% confidence intervals will be obtained using bootstrapping. Covariates may include age, gender, APOE4, years of education, and handedness. The investigators will estimate cut-off scores for TapTalk and MoCA to differentiate between cognitively unimpaired vs MCI, and between cognitively unimpaired vs AD using the Youden index to optimise the trade-off between sensitivity and specificity. Classification accuracy (sensitivity and specificity) using these cut-offs will be compared using McNemar's test.
2025
Study Arms (2)
ISLAND cohort
About 1,000 participants completed hand motor and speech tests online and 150 will attend the research centre for usablity assessments
Clinical
The new app will be tested in about 100 patients at each of the ISLAND Cognitive Clinic or the Royal Hobart Hospital
Interventions
Eligibility Criteria
AIM 1 \& AIM 2 STUDY POPULATIONS The ISLAND Project (Bartlett et al doi: 10.2196/34688) is a 10-year prospective cohort study of Tasmanians \>50 years old with nested interventions to reduce dementia risk. \>13,000 people have been recruited, 8,500 research participants have provided detailed demographics and health data, 3,000 have completed online CANTAB cognitive tests and 1,500 have provided blood samples. ISLAND surveys are repeated annually, and cognitive tests and blood-based biomarkers are collected every second year. AIM 3 STUDY POPULATION Adults aged \>50 years old who are admitted to the RHH medical wards or referred by their GP to the ISLAND Cognitive clinic (Alty et al doi: 10.1002/gps.5988)
You may qualify if:
- Adults \>50 years old who are participants in the ISLAND Project and who have provided a blood sample and have normal cognition and no persistent (\>3 months) cognitive symptoms will be eligible.
You may not qualify if:
- Impaired cognition, defined by a validated cut-off score \>1.5 SD above the mean total errors adjusted for age and gender on the Paired Associates Learning sub-test of CANTAB.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of Tasmania
Hobart, Tasmania, 7001, Australia
Related Publications (6)
Alty J, Lawler K, Salmon K, McDonald S, Stuart K, Cleary A, Ma J, Rudd K, Wang X, Chiranakorn-Costa S, Collins J, Merl H, Lin X, Vickers JC. A new one-stop interdisciplinary cognitive clinic model tackles rural health inequality and halves the time to diagnosis: Benchmarked against a national dementia registry. Int J Geriatr Psychiatry. 2023 Aug;38(8):e5988. doi: 10.1002/gps.5988.
PMID: 37592719BACKGROUNDHuang G, Li R, Bai Q, Alty J. Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a scoping review. Health Inf Sci Syst. 2023 Jul 22;11(1):32. doi: 10.1007/s13755-023-00231-0. eCollection 2023 Dec.
PMID: 37489153BACKGROUNDBartlett L, Bindoff A, Doherty K, Kim S, Eccleston C, Kitsos A, Roccati E, Alty J, King AE, Vickers JC. An online, public health framework supporting behaviour change to reduce dementia risk: interim results from the ISLAND study linking ageing and neurodegenerative disease. BMC Public Health. 2023 Sep 29;23(1):1886. doi: 10.1186/s12889-023-16805-2.
PMID: 37773122BACKGROUNDAlty J, Bai Q, Li R, Lawler K, St George RJ, Hill E, Bindoff A, Garg S, Wang X, Huang G, Zhang K, Rudd KD, Bartlett L, Goldberg LR, Collins JM, Hinder MR, Naismith SL, Hogg DC, King AE, Vickers JC. The TAS Test project: a prospective longitudinal validation of new online motor-cognitive tests to detect preclinical Alzheimer's disease and estimate 5-year risks of cognitive decline and dementia. BMC Neurol. 2022 Jul 18;22(1):266. doi: 10.1186/s12883-022-02772-5.
PMID: 35850660BACKGROUNDWang X, St George RJ, Bindoff AD, Noyce AJ, Lawler K, Roccati E, Bartlett L, Tran SN, Vickers JC, Bai Q, Alty J. Estimating presymptomatic episodic memory impairment using simple hand movement tests: A cross-sectional study of a large sample of older adults. Alzheimers Dement. 2024 Jan;20(1):173-182. doi: 10.1002/alz.13401. Epub 2023 Jul 30.
PMID: 37519032BACKGROUNDAlty J, Goldberg LR, Roccati E, Lawler K, Bai Q, Huang G, Bindoff AD, Li R, Wang X, St George RJ, Rudd K, Bartlett L, Collins JM, Aiyede M, Fernando N, Bhagwat A, Giffard J, Salmon K, McDonald S, King AE, Vickers JC. Development of a smartphone screening test for preclinical Alzheimer's disease and validation across the dementia continuum. BMC Neurol. 2024 Apr 16;24(1):127. doi: 10.1186/s12883-024-03609-z.
PMID: 38627686DERIVED
Related Links
Biospecimen
ApoE4 genotyping - to be used as a covariate in the analysis
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
James Vickers, PhD
University of Tasmania
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
October 29, 2023
First Posted
November 2, 2023
Study Start
August 1, 2022
Primary Completion
June 1, 2025
Study Completion
December 31, 2025
Last Updated
November 14, 2023
Record last verified: 2023-11