Smartphone-based detection of subtle memory decline in prodromal Alzheimer’s disease - Summary - MDSpire

Smartphone-based detection of subtle memory decline in prodromal Alzheimer’s disease

  • By

  • Sarah E. Polk

  • Lindsay R. Clark

  • Kristin Basche

  • Luca Kleineidam

  • Wenzel Glanz

  • Michaela Butryn

  • Robert Perneczky

  • Katharina Buerger

  • Klaus Fliessbach

  • Christoph Laske

  • Annika Spottke

  • Anja Schneider

  • Jens Wiltfang

  • Stefan Teipel

  • Claudia Bartels

  • Ayda Rostamzadeh

  • Daniel Janowitz

  • Boris-Stephan Rauchmann

  • Ingo Kilimann

  • Sebastian Sodenkamp

  • Marie Coenjaerts

  • Frederic Brosseron

  • Michael Wagner

  • Ingo Frommann

  • Melina Stark

  • Matthias Schmid

  • Björn H. Schott

  • Sterling C. Johnson

  • Frank Jessen

  • Emrah Düzel

  • David Berron

  • June 10, 2026

Share

Objective:

To evaluate the effectiveness of remote digital cognitive assessments in detecting early memory impairment in prodromal Alzheimer's disease.

Key Findings:
  • The MCI group exhibited greater cognitive decline than the CU group in familiarity-dependent tasks (p < 0.05).
  • MCI participants with beta-amyloid (Aβ+) showed more significant changes in memory precision and familiarity-dependent memory (p < 0.01).
  • A 30-week change in remote familiarity-dependent tasks correlated with multi-year changes in in-person neuropsychological assessments (r = 0.75, p < 0.01).
Interpretation:

Frequent remote cognitive testing can effectively capture subtle cognitive decline in early Alzheimer's disease.

Limitations:
  • The study's sample size may limit generalizability.
  • The reliance on self-administered tasks may introduce variability in data quality.
  • Potential bias in self-reported data could affect the reliability of cognitive assessments.
Conclusion:

Remote digital cognitive assessments are promising tools for monitoring cognitive decline in early Alzheimer's disease.

Original Source(s)

Related Content