ArticleBrain and behavior2023
Specificity of affective dynamics of bipolar and major depressive disorder.
Article in Brain and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- The dynamic influence of exercise on emotional state among people with a history of mood disorder.Psychiatry research · 2026Article
- Investigating behavioral inertia in passively sensed smartphone parameters to differentiate affective episodes in patients with bipolar disorder.Neuroscience applied · 2026Article
- Real-time Ecological Assessment of the Context of mental and physical Health (REACH) on Curious.Research square · 2025Article
- The affective dynamics of parenting: Inertia of emotional distance characterizes severe parental burnout.Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43) · 2025Article
- A stochastic model for affect dynamics: methodological insights from heart rate variability in an illustrative case of Anorexia Nervosa.Frontiers in psychiatry · 2025Article
- Specificity of affective dynamics of bipolar and major depressive disorder.Brain and behavior · 2023Article
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Authors and funding
7 authors at 5 institutions in 3 countries.
Funding
Abstract
objectiveHere, we examine whether the dynamics of the four dimensions of the circumplex model of affect assessed by ecological momentary assessment (EMA) differ among those with bipolar disorder (BD) and major depressive disorder (MDD).
methodsParticipants aged 11-85 years (n = 362) reported momentary sad, anxious, active, and energetic dimensional states four times per day for 2 weeks. Individuals with lifetime mood disorder subtypes of bipolar-I, bipolar-II, and MDD derived from a semistructured clinical interview were compared to each other and to controls without a lifetime history of psychiatric disorders. Random effects from individual means, inertias, innovation (residual) variances, and cross-lags across the four affective dimensions simultaneously were derived from multivariate dynamic structural equation models.
resultsAll mood disorder subtypes were associated with higher levels of sad and anxious mood and lower energy than controls. Those with bipolar-I had lower average activation, and lower energy that was independent of activation, compared to MDD or controls. However, increases in activation were more likely to perpetuate in those with bipolar-I. Bipolar-II was characterized by higher lability of sad and anxious mood compared to bipolar-I and controls but not MDD. Compared to BD and controls, those with MDD exhibited cross-augmentation of sadness and anxiety, and sadness blunted energy.
conclusionBipolar-I is more strongly characterized by activation and energy than sad and anxious mood. This distinction has potential implications for both specificity of intervention targets and differential pathways underlying these dynamic affective systems. Confirmation of the longer term stability and generalizability of these findings in future studies is necessary.
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