ArticleJournal of affective disorders2019
Network dynamics of positive and negative affect in bipolar disorder.
Article in Journal of affective disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.
- Toward a Digital Future in Bipolar Disorder Assessment: A Systematic Review of Disruptions in the Rest-Activity Cycle as Measured by Actigraphy.Frontiers in psychiatry · 2022Pooled it
- Complex affect dynamics offer limited incremental value for cross-sectional prediction of psychological and behavioural variables in cross-validated models.BMC medicine · 2026Article
- Symptom network for psychological distress in college freshmen: a large sample bayesian network analysis.BMC psychology · 2026Article
- Investigating behavioral inertia in passively sensed smartphone parameters to differentiate affective episodes in patients with bipolar disorder.Neuroscience applied · 2026Article
- An Integrated Treatment Approach for Bipolar II Disorder: A Clinical Case Study.Journal of clinical medicine · 2025Article
- Examining the research methods of early warning signals in clinical psychology through a theoretical lens.BMC psychiatry · 2025Review
- Testing for group differences in multilevel vector autoregressive models.Behavior research methods · 2025Article
- The implementation of digital biomarkers in the diagnosis, treatment and monitoring of mood disorders: a narrative review.Frontiers in digital health · 2025Review
- Centrality measures in psychological networks: A simulation study on identifying effective treatment targets.PloS one · 2024Article
- Rising early warning signals in affect associated with future changes in depression: a dynamical systems approach.Psychological medicine · 2023Article
- Article
- Network analysis of physical activity and depressive and affective symptoms during COVID-19 home confinement.Global mental health (Cambridge, England) · 2023Article
- Anticipating manic and depressive transitions in patients with bipolar disorder using early warning signals.International journal of bipolar disorders · 2022Article
- Estimating the symptom structure of bipolar disorder via network analysis: Energy dysregulation as a central symptom.Journal of psychopathology and clinical science · 2022Article
- Can network analysis of self-reported psychopathology shed light on the core phenomenology of bipolar disorders in adolescents and young adults?Bipolar disorders · 2021Article
- A network structure of manic symptoms.Brain and behavior · 2021Article
- The Revised Mood Rhythm Instrument: A Large Multicultural Psychometric Study.Journal of clinical medicine · 2021Article
- Early warning signals in psychopathology: what do they tell?BMC medicine · 2020Article
- Early Warning Signals Based on Momentary Affect Dynamics can Expose Nearby Transitions in Depression: A Confirmatory Single-Subject Time-Series Study.Journal for person-oriented research · 2020Article
- The Differential Role of Central and Bridge Symptoms in Deactivating Psychopathological Networks.Frontiers in psychology · 2019Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe network approach to psychopathology has become increasingly popular. Little research has examined the dynamic network structure of mental disorders, and, to date, no study has investigated the network dynamics of positive affect, negative affect, and physical activity in bipolar disorder. This represents the first study to estimate the dynamic network structure of affect and physical activity in individuals with and without bipolar I disorder.
methodsAn intensive longitudinal design was used to assess positive affect, negative affect, and actigraphy-based estimates of physical activity. The overall sample consisted of 32 adults with bipolar I disorder and 36 healthy control participants. Eligible participants underwent an 8-week assessment period, in which once-per-day ratings of affect and actigraphy estimates were obtained. Participants were re-assessed on baseline measures afterwards. Dynamic network analysis was used to examine the network structure of affect and physical activity over time. Multilevel models were used to examine the relationship between autocorrelation and changes in depression symptoms among participants with bipolar disorder. LIMITATIONS: The network analyses assume stationarity. Future research should consider time-varying multilevel network models to better account for time trends.
resultsThe results of the temporal networks indicated that the directed edges between positive and negative affect were mostly positive among individuals with bipolar I disorder. Among healthy control participants, the directed edges between positive and negative affect were mostly negative in direction. Physical activity, as assessed by daily actigraphy indices, was more densely connected in the healthy control network than the bipolar disorder network. Furthermore, the results indicated that critical slowing down predicted worsening of mood symptoms in the bipolar I disorder group.
conclusionsThis study suggests that certain dynamic patterns of affect may be an underlying process that contributes to the maintenance of bipolar disorder. These results have both theoretical and practical implications.
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