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Clinical Manifestations.

Sarah E Polk1, Lindsay R Clark2,3,4, Kristin E Basche2

  • 1German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 26, 2025
PubMed
Summary
This summary is machine-generated.

Remote digital cognitive tests detect early Alzheimer's disease (AD) decline better than traditional methods. Frequent, unsupervised assessments capture subtle short-term cognitive changes in mild cognitive impairment (MCI).

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Digital Health

Background:

  • Traditional pen-and-paper neuropsychological assessments lack sensitivity to subtle cognitive changes in early Alzheimer's disease (AD).
  • Existing methods are limited in monitoring cognitive performance over shorter timeframes.
  • Remote, unsupervised digital cognitive assessments offer a potential solution for early AD detection.

Purpose of the Study:

  • To evaluate the efficacy of frequent, remote, and unsupervised digital cognitive assessments in capturing short-term cognitive decline in early Alzheimer's disease (AD).
  • To compare the sensitivity of digital assessments versus traditional in-person tests for detecting cognitive changes in individuals with mild cognitive impairment (MCI).

Main Methods:

  • Investigated episodic memory trajectories in 202 participants (52-85 years) using remote digital testing over at least 30 weeks.
  • Employed linear mixed modeling to analyze cognitive status (cognitively unimpaired vs. MCI) and time effects.
  • Stratified MCI group by amyloid-β (Aβ) burden and examined correlations with in-person assessments.

Main Results:

  • Participants with MCI performed worse on associative memory, memory precision, and familiarity-based memory tasks compared to cognitively unimpaired individuals.
  • A short-term decline in familiarity-dependent memory was observed in all MCI patients.
  • Digital assessments, particularly for familiarity-dependent memory and object precision, showed sensitivity to decline in the MCI Aβ+ group and correlated with long-term in-person assessment changes.

Conclusions:

  • Frequent remote cognitive testing is a promising and feasible tool for capturing subtle, short-term cognitive decline.
  • Digital assessments demonstrate superior sensitivity to early cognitive changes in AD compared to traditional methods.
  • This approach facilitates more effective monitoring of cognitive performance in individuals with MCI.