» Articles » PMID: 31304295

Digital Biomarkers of Cognitive Function

Overview
Journal NPJ Digit Med
Date 2019 Jul 16
PMID 31304295
Citations 77
Authors
Affiliations
Soon will be listed here.
Abstract

To identify digital biomarkers associated with cognitive function, we analyzed human-computer interaction from 7 days of smartphone use in 27 subjects (ages 18-34) who received a gold standard neuropsychological assessment. For several neuropsychological constructs (working memory, memory, executive function, language, and intelligence), we found a family of digital biomarkers that predicted test scores with high correlations ( < 10). These preliminary results suggest that passive measures from smartphone use could be a continuous ecological surrogate for laboratory-based neuropsychological assessment.

Citing Articles

A new method for identifying and evaluating depressive disorders in young people based on cognitive neurocomputing: an exploratory study.

Liu J, Li K, Li S, Liu S, Wang C, Huang S Front Comput Neurosci. 2025; 19:1555416.

PMID: 40070399 PMC: 11893619. DOI: 10.3389/fncom.2025.1555416.


Exploring the Relationship Between Smartphone GPS Patterns and Quality of Life in Patients With Advanced Cancer and Their Family Caregivers: Longitudinal Study.

Lee K, Azuero A, Engler S, Kumar S, Puga F, Wright A JMIR Form Res. 2025; 9:e59161.

PMID: 39924302 PMC: 11830490. DOI: 10.2196/59161.


Mobility-Based Smartphone Digital Phenotypes for Unobtrusively Capturing Everyday Cognition, Mood, and Community Life-Space in Older Adults: Feasibility, Acceptability, and Preliminary Validity Study.

Hackett K, Xu S, McKniff M, Paglia L, Barnett I, Giovannetti T JMIR Hum Factors. 2024; 11:e59974.

PMID: 39576984 PMC: 11624463. DOI: 10.2196/59974.


Discriminant Power of Smartphone-Derived Keystroke Dynamics for Mild Cognitive Impairment Compared to a Neuropsychological Screening Test: Cross-Sectional Study.

Park J J Med Internet Res. 2024; 26:e59247.

PMID: 39475819 PMC: 11561447. DOI: 10.2196/59247.


Making Sense of Aging with Data Big and Small.

Dodge H, Estrin D Bridge (Wash D C). 2024; 49(1):39-46.

PMID: 39449830 PMC: 11500021.


References
1.
Heaton R, Akshoomoff N, Tulsky D, Mungas D, Weintraub S, Dikmen S . Reliability and validity of composite scores from the NIH Toolbox Cognition Battery in adults. J Int Neuropsychol Soc. 2014; 20(6):588-98. PMC: 4103963. DOI: 10.1017/S1355617714000241. View