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September 27, 2025Open Access

Digital Biomarkers for Passive Remote Monitoring of Bipolar Disorder: Systematic Review

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Authors

TKThomas P. KutcherICIndrajit ChakrabortyKKKristin M. Kostick

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Overview

Systematic review assesses digital biomarkers and their potential for passive monitoring of mood states in bipolar disorder, suggesting future research directions.

Key Points

  • Passive digital biomarkers show promise for bipolar disorder, particularly with behavioral and circadian features in monitoring mood states.
  • Of 8,355 records reviewed, only 45 studies met criteria, most enrolling fewer than 51 participants and monitoring for less than 101 days.
  • Machine learning methods were utilized in 15 studies, reporting strong predictive performance for mood episode classification, though lacking external validation.
  • Risk of bias was assessed using established scales, and significant design gaps were identified impacting clinical translation and application.

Cite This Study

Kutcher et al. (2025) studied this question.

synapsesocial.com/papers/68d7b3d4eebfec0fc52364achttps://doi.org/10.1101/2025.09.23.25336470
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Digital Biomarkers for Passive Remote Monitoring of Bipolar Disorder: Systematic Review (Preprint)2025
  2. 2Digital Markers for Passive Remote Monitoring of Bipolar Disorder: Systematic Review2026
  3. 3Digital Tools for Assessing Bipolar Disorder: A Scoping Review of the Current Landscape2026
  4. 4From Mood Episodes to Digital Signatures: Passive and Active Phenotyping of Bipolar Disorder Over Time2026 · 1 citations
  5. 5A systematic exploration of digital biomarkers for the detection of depressive episodes in bipolar disorder2026