Your browser doesn't support javascript.
loading
Development of a smartphone screening test for preclinical Alzheimer's disease and validation across the dementia continuum.
Alty, Jane; Goldberg, Lynette R; Roccati, Eddy; Lawler, Katherine; Bai, Quan; Huang, Guan; Bindoff, Aidan D; Li, Renjie; Wang, Xinyi; St George, Rebecca J; Rudd, Kaylee; Bartlett, Larissa; Collins, Jessica M; Aiyede, Mimieveshiofuo; Fernando, Nadeeshani; Bhagwat, Anju; Giffard, Julia; Salmon, Katharine; McDonald, Scott; King, Anna E; Vickers, James C.
Affiliation
  • Alty J; Wicking Dementia Research and Education Centre, University of Tasmania, Liverpool Street, Hobart, TAS, 7001, Australia. jane.alty@utas.edu.au.
  • Goldberg LR; School of Medicine, University of Tasmania, Hobart, TAS, 7001, Australia. jane.alty@utas.edu.au.
  • Roccati E; Royal Hobart Hospital, Hobart, TAS, 7001, Australia. jane.alty@utas.edu.au.
  • Lawler K; Wicking Dementia Research and Education Centre, University of Tasmania, Liverpool Street, Hobart, TAS, 7001, Australia.
  • Bai Q; Wicking Dementia Research and Education Centre, University of Tasmania, Liverpool Street, Hobart, TAS, 7001, Australia.
  • Huang G; Wicking Dementia Research and Education Centre, University of Tasmania, Liverpool Street, Hobart, TAS, 7001, Australia.
  • Bindoff AD; School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC, 3086, Australia.
  • Li R; School of Information and Communication Technology, University of Tasmania, Hobart, TAS, 7005, Australia.
  • Wang X; Wicking Dementia Research and Education Centre, University of Tasmania, Liverpool Street, Hobart, TAS, 7001, Australia.
  • St George RJ; Wicking Dementia Research and Education Centre, University of Tasmania, Liverpool Street, Hobart, TAS, 7001, Australia.
  • Rudd K; Wicking Dementia Research and Education Centre, University of Tasmania, Liverpool Street, Hobart, TAS, 7001, Australia.
  • Bartlett L; School of Information and Communication Technology, University of Tasmania, Hobart, TAS, 7005, Australia.
  • Collins JM; Wicking Dementia Research and Education Centre, University of Tasmania, Liverpool Street, Hobart, TAS, 7001, Australia.
  • Aiyede M; School of Psychological Sciences, University of Tasmania, Hobart, TAS, 7005, Australia.
  • Fernando N; Wicking Dementia Research and Education Centre, University of Tasmania, Liverpool Street, Hobart, TAS, 7001, Australia.
  • Bhagwat A; Wicking Dementia Research and Education Centre, University of Tasmania, Liverpool Street, Hobart, TAS, 7001, Australia.
  • Giffard J; Wicking Dementia Research and Education Centre, University of Tasmania, Liverpool Street, Hobart, TAS, 7001, Australia.
  • Salmon K; Wicking Dementia Research and Education Centre, University of Tasmania, Liverpool Street, Hobart, TAS, 7001, Australia.
  • McDonald S; Royal Hobart Hospital, Hobart, TAS, 7001, Australia.
  • King AE; Royal Hobart Hospital, Hobart, TAS, 7001, Australia.
  • Vickers JC; Wicking Dementia Research and Education Centre, University of Tasmania, Liverpool Street, Hobart, TAS, 7001, Australia.
BMC Neurol ; 24(1): 127, 2024 Apr 16.
Article in En | MEDLINE | ID: mdl-38627686
ABSTRACT

BACKGROUND:

Dementia prevalence is predicted to triple to 152 million globally by 2050. Alzheimer's disease (AD) constitutes 70% of cases. There is an urgent need to identify individuals with preclinical AD, a 10-20-year period of progressive brain pathology without noticeable cognitive symptoms, for targeted risk reduction. Current tests of AD pathology are either too invasive, specialised or expensive for population-level assessments. Cognitive tests are normal in preclinical AD. Emerging evidence demonstrates that movement analysis is sensitive to AD across the disease continuum, including preclinical AD. Our new smartphone test, TapTalk, combines analysis of hand and speech-like movements to detect AD risk. This study aims to [1] determine which combinations of hand-speech movement data most accurately predict preclinical AD [2], determine usability, reliability, and validity of TapTalk in cognitively asymptomatic older adults and [3], prospectively validate TapTalk in older adults who have cognitive symptoms against cognitive tests and clinical diagnoses of Mild Cognitive Impairment and AD dementia.

METHODS:

Aim 1 will be addressed in a cross-sectional study of at least 500 cognitively asymptomatic older adults who will complete computerised tests comprising measures of hand motor control (finger tapping) and oro-motor control (syllabic diadochokinesis). So far, 1382 adults, mean (SD) age 66.20 (7.65) years, range 50-92 (72.07% female) have been recruited. Motor measures will be compared to a blood-based AD biomarker, phosphorylated tau 181 to develop an algorithm that classifies preclinical AD risk. Aim 2 comprises three sub-studies in cognitively asymptomatic adults (i) a cross-sectional study of 30-40 adults to determine the validity of data collection from different types of smartphones, (ii) a prospective cohort study of 50-100 adults ≥ 50 years old to determine usability and test-retest reliability, and (iii) a prospective cohort study of ~1,000 adults ≥ 50 years old to validate against cognitive measures. Aim 3 will be addressed in a cross-sectional study of ~200 participants with cognitive symptoms to validate TapTalk against Montreal Cognitive Assessment and interdisciplinary consensus diagnosis.

DISCUSSION:

This study will establish the precision of TapTalk to identify preclinical AD and estimate risk of cognitive decline. If accurate, this innovative smartphone app will enable low-cost, accessible screening of individuals for AD risk. This will have wide applications in public health initiatives and clinical trials. TRIAL REGISTRATION ClinicalTrials.gov identifier NCT06114914, 29 October 2023. Retrospectively registered.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Alzheimer Disease / Cognitive Dysfunction Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: BMC Neurol Journal subject: NEUROLOGIA Year: 2024 Type: Article Affiliation country: Australia

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Alzheimer Disease / Cognitive Dysfunction Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: BMC Neurol Journal subject: NEUROLOGIA Year: 2024 Type: Article Affiliation country: Australia