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Related Experiment Video

Updated: Mar 28, 2026

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
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Assessing verbal and spatial memory via smartphone.

Peter Kosa1, Amir Moghadam Ahmadi1, Marie Kanu1

  • 1Neuroimmunological Diseases Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States.

Frontiers in Digital Health
|March 27, 2026
PubMed
Summary
This summary is machine-generated.

Smartphone spatial memory tests effectively detect cognitive decline in CNS disorders. These digital biomarkers offer reliable, unsupervised monitoring for conditions like Multiple Sclerosis (MS), improving patient care.

Keywords:
cognitive declinedigital biomarkersmemory testingmultiple sclerosisphone app

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Area of Science:

  • Neuroscience
  • Digital Health
  • Biomarkers

Background:

  • Detecting cognitive decline in chronic central nervous system (CNS) diseases is challenging due to practice effects and motor confounds.
  • Smartphone-based assessments offer frequent, unsupervised testing but require validation and quality control.

Purpose of the Study:

  • Develop and validate smartphone-based verbal and spatial memory tasks.
  • Derive composite digital biomarkers for cognitive impairment monitoring.
  • Assess the utility of these biomarkers in CNS disorders.

Main Methods:

  • Prospective study of 315 adults (healthy, MS, other CNS disorders).
  • Utilized the Neurological Functions Test Suite App for 5,875 verbal and 2,588 spatial trials.
  • Extracted digital biomarkers, including individualized Sensory-Motor Processing Thresholds (iSMPT), and developed composite scores using logistic regression.

Main Results:

  • Spatial memory composite distinguished healthy donors from various CNS disease groups (P < 0.05).
  • Composite scores correlated strongly with disability (EDSS, NeurEx) and lesion volume (Rho = 0.62-0.71).
  • Good test-retest reliability (ICC = 0.813 with iSMPT) and prediction of SDMT scores (R² = 0.53).

Conclusions:

  • The spatial memory composite is a reliable, validated digital marker for mild cognitive dysfunction in CNS disorders.
  • This digital biomarker, combined with SDMT, enhances unsupervised monitoring and quality assurance.
  • Smartphone-based cognitive testing shows promise for real-time assessment and management of neurological conditions.