Evidence map›Paper›PMID 39239892›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024

Digital cognitive assessments as low-burden markers for predicting future cognitive decline and tau accumulation across the Alzheimer's spectrum.

Casey R Vanderlip, Craig E L Stark, Alzheimer's Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Digital cognitive phenotyping enhances risk stratification in preclinical Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  7. Article
  8. Review
  9. Combining p-tau217 and digital cognitive testing to predict cognitive decline.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Integrating plasma p-tau217 and digital cognitive assessments for early detection in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  15. Article
  16. Article
  17. Cognitive modeling of the Mnemonic Similarity Task as a digital biomarker for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  18. Article
  19. Article
  20. Parallel patterns of cognitive aging in marmosets and macaques.bioRxiv : the preprint server for biology · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Casey R VanderlipDepartment of Neurobiology and Behavior, 1424 Biological Sciences III Irvine, University of California Irvine, Irvine, California, USA.
Craig E L StarkDepartment of Neurobiology and Behavior, 1424 Biological Sciences III Irvine, University of California Irvine, Irvine, California, USA.
Alzheimer's Disease Neuroimaging Initiative

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MONICA G. RIVERA-MINDT · 2016 to 2026
$226.7M
Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI JOHNSON, DAVID K · 1991 to 2020
$28.3M
The Alzheimer's Disease Research Center at the University of California, IrvineP30AG066519 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Mathew Mark Blurton-Jones · 2020 to 2026
$27.9M
Development of the mnemonic similarity task as a tool to address age and dementia-related memory declineR01AG066683 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI STARK, CRAIG E · 2020 to 2024
$1.9M
NIA NIH HHS P30 AG010129NIA NIH HHS P30 AG066519NIA NIH HHS R01 AG066683NIA NIH HHS U01 AG024904NIH HHS P30AG066519NIH HHS R01AG066683NIH HHS U19AG024904
6 · The paper itself

Abstract

backgroundDigital cognitive assessments, particularly those that can be done at home, present as low-burden biomarkers for participants and patients alike, but their effectiveness in the diagnosis of Alzheimer's disease (AD) or predicting its trajectory is still unclear. Here, we assessed what utility or added value these digital cognitive assessments provide for identifying those at high risk of cognitive decline.

methodsWe analyzed >500 Alzheimer's Disease Neuroimaging Initiative participants who underwent a brief digital cognitive assessment and amyloid beta (Aβ)/tau positron emission tomography scans, examining their ability to distinguish cognitive status and predict cognitive decline.

resultsPerformance on the digital cognitive assessment was superior to both cortical Aβ and entorhinal tau in detecting mild cognitive impairment and future cognitive decline, with mnemonic discrimination deficits emerging as the most critical measure for predicting decline and future tau accumulation. DISCUSSION: Digital assessments are effective at identifying at-risk individuals, supporting their utility as low-burden tools for early AD detection and monitoring. HIGHLIGHTS: Performance on digital cognitive assessments predicts progression to mild cognitive impairment at a higher proficiency compared to amyloid beta and tau. Deficits in mnemonic discrimination are indicative of future cognitive decline. Impaired mnemonic discrimination predicts future entorhinal and inferior temporal tau.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersCognitive DysfunctionDisease ProgressionPositron-Emission Tomographytau ProteinsAgedAged, 80 and overFemaleHumansMaleNeuropsychological TestsAmyloid beta-PeptidesBiomarkerstau ProteinsAlzheimer's diseasedigital cognitive assessmentsearly detectionmnemonic discrimination

Identifiers

PMID39239892
PMCPMC11485398

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.