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Related Experiment Video

Updated: Jan 22, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

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Digital biomarkers of cognitive function.

¹Mindstrong Health, 248 Homer Street, Palo Alto, CA 94301 USA.

NPJ Digital Medicine

|July 16, 2019

Summary

This summary is machine-generated.

Smartphone use reveals digital biomarkers for cognitive function. These passive measures correlate strongly with neuropsychological test scores, offering a potential continuous ecological assessment tool.

Keywords:

Diagnostic markers Predictive markers

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Area of Science:

Digital health
Neuroscience
Human-computer interaction

Background:

Cognitive function assessment traditionally relies on time-intensive laboratory-based neuropsychological tests.
There is a growing need for continuous, objective, and ecologically valid measures of cognitive function.

Purpose of the Study:

To identify digital biomarkers from smartphone usage that correlate with cognitive function.
To explore the potential of passive smartphone data as a surrogate for traditional neuropsychological assessments.

Main Methods:

Analysis of human-computer interaction data from 7 days of smartphone use in 27 healthy young adults (ages 18-34).
Subjects also underwent a gold-standard comprehensive neuropsychological assessment.
Machine learning models were used to correlate digital biomarkers with neuropsychological test scores.

Main Results:

A significant family of digital biomarkers derived from smartphone use was identified.
These digital biomarkers showed high correlations (p < 10^-4) with multiple neuropsychological constructs, including working memory, memory, executive function, language, and intelligence.
Preliminary findings indicate strong predictive power of digital biomarkers for cognitive performance.

Conclusions:

Passive smartphone usage data can generate digital biomarkers predictive of cognitive function.
These findings suggest smartphone-based digital biomarkers may serve as a continuous, ecologically valid surrogate for laboratory-based neuropsychological evaluations.
This approach holds promise for scalable and accessible cognitive health monitoring.