ArticleTranslational psychiatry2018
Testing frameworks for personalizing bipolar disorder.
Article in Translational psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Positive moods are all alike? Differential affect amplification effects of 'elated' versus 'calm' mental imagery in young adults reporting hypomanic-like experiences.Translational psychiatry · 2022Trial
- The Dynamics of Mood in Bipolar Disorder: How Mathematical Models Help Phenotype Individuals, Forecast Mood, and Clarify Underlying Mechanisms.Current psychiatry reports · 2025Review
- The real-world association between digital markers of circadian disruption and mental health risks.NPJ digital medicine · 2024Article
- Longitudinal hair cortisol in bipolar disorder and a mechanism based on HPA dynamics.iScience · 2024Article
- Mobile Acceptance and Commitment Therapy in Bipolar Disorder: Microrandomized Trial.JMIR mental health · 2023Article
- A critical evaluation of dynamical systems models of bipolar disorder.Translational psychiatry · 2022Review
- Strategies and foundations for scientific discovery in longitudinal studies of bipolar disorder.Bipolar disorders · 2022Review
- A digital self-report survey of mood for bipolar disorder.Bipolar disorders · 2021Article
- The futility of long-term predictions in bipolar disorder: mood fluctuations are the result of deterministic chaotic processes.International journal of bipolar disorders · 2021Article
- Dynamics of data-driven microstates in bipolar disorder.Journal of psychiatric research · 2021Article
- Analyzing the effects of memory biases and mood disorders on social performance.Scientific reports · 2020Article
- Article
- Digital solutions for shaping mood and behavior among individuals with mood disorders.Current opinion in systems biology · 2020Article
- A clinical staging model for bipolar disorder: longitudinal approach.Translational psychiatry · 2020Article
- Reporting guidelines on remotely collected electronic mood data in mood disorder (eMOOD)-recommendations.Translational psychiatry · 2019Review
- Engagement Strategies for Self-Monitoring Symptoms of Bipolar Disorder With Mobile and Wearable Technology: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The hallmark of bipolar disorder is a clinical course of recurrent manic and depressive symptoms of varying severity and duration. Mathematical modeling of bipolar disorder holds the promise of an ability to personalize diagnoses, to predict future mood episodes, to directly compare diverse datasets, and to link basic mechanisms to behavioral data. Several modeling frameworks have been proposed for bipolar disorder, which represent competing hypothesis about the basic framework of the disorder. Here, we test these hypotheses with self-report assessments of mania and depression symptoms from 178 bipolar patients followed prospectively for 4 or more years. Statistical analysis of the data did not support the hypotheses that mood arises from a rhythmic process or multiple stable states (e.g., mania or depression) or that manic and depressive symptoms are highly anti-correlated. Alternatively, it is shown that bipolar disorder could arise from an inability for mood to quickly return to normal when perturbed. This latter concept is embodied by an affective instability model that can be personalized to the clinical course of any individual with chronic disorders that have an affective component.
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