What question did this study set out to answer?

This review aims to synthesize evidence on digital phenotyping in bipolar disorder and propose a framework for integrating various data streams to create digital signatures.

May 9, 2026International Journal of Social Psychiatry

From Mood Episodes to Digital Signatures: Passive and Active Phenotyping of Bipolar Disorder Over Time

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This review aims to synthesize evidence on digital phenotyping in bipolar disorder and propose a framework for integrating various data streams to create digital signatures.
Synthesis of current literature on digital phenotyping and bipolar disorder.
Development of a conceptual framework integrating passive (e.g., smartphones) and active (e.g., self-reported mood) data.
Proposal of computational analyses, including machine learning and longitudinal modeling, to derive individualized digital signatures.
The framework shows how behavioral and physiological data can be transformed into digital biomarkers related to mood regulation.
Computational models can identify temporal deviations in individual data, suggesting early warning signals for mood changes.
The approach could aid in personalized treatment decisions and early detection of mood instability.

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Implication

Narrative review proposes a framework for integrating behavioral data to predict mood episodes in bipolar disorder, indicating potential for precision psychiatry.

Cite This Study

Torales et al. (2026) studied this question.

synapsesocial.com/papers/69fecf94b9154b0b828767fa https://doi.org/10.1177/00207640261449667

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Implication

Narrative review proposes a framework for integrating behavioral data to predict mood episodes in bipolar disorder, indicating potential for precision psychiatry.

From Mood Episodes to Digital Signatures: Passive and Active Phenotyping of Bipolar Disorder Over Time

Key Points

Discussion

Implication

Cite This Study

From Mood Episodes to Digital Signatures: Passive and Active Phenotyping of Bipolar Disorder Over Time

Key Points

Discussion

Implication

Cite This Study

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