Towards a complex system understanding of bipolar disorder: A map based model of a complex winnerless competition

Hadaeghi, Fatemeh; Golpayegani, Mohammad Reza Hashemi; Murray, Greg

doi:10.1016/j.jtbi.2015.02.020

Cited by 14 publications

(7 citation statements)

References 54 publications

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“…We developed a novel map-based chaotic system which can capture chaotic disturbances in circadian activity across the two extreme mood states of bipolar disorder. In contrast to previous mathematically based studies of bipolar disorder (Daugherty et al, 2009;Goldbeter, 2011;Hadaeghi et al, 2015;Huber et al, 2000), we were able to test the model in comparison with real activity data collected by actigraphy from healthy subjects and euthymic bipolar patients. Actigraphy has been previously used to index the function of core-control nodes in the timing of behavior.…”

Section: Discussionmentioning

confidence: 97%

“…As detailed below, the model uses chaos theory to characterize interplay between neurotransmitter functions and rhythm generation; it aims to illuminate key activity phenomenology in bipolar disorder, including prolonged sleep intervals, decreased total activity and attenuated amplitude of the diurnal activity rhythm. An advance over previous mathematical research into the time course of bipolar disorder (Daugherty et al, 2009; Goldbeter, 2011; Hadaeghi et al, 2015; Huber et al, 2000) was the use of objective actigraphy data to test the model’s predictions about diagnosis-related differences in circadian activity.…”

Section: Introductionmentioning

confidence: 99%

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Toward a complex system understanding of bipolar disorder: A chaotic model of abnormal circadian activity rhythms in euthymic bipolar disorder

Hadaeghi

Golpayegani

Jafari

et al. 2016

Aust N Z J Psychiatry

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Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Toward a complex system understanding of bipolar disorder: A chaotic model of abnormal circadian activity rhythms in euthymic bipolar disorder

Hadaeghi

Golpayegani

Jafari

et al. 2016

Aust N Z J Psychiatry

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“…We may thus expect that positivity bias in belief updating would predict manic episodes and vice versa for depressive episodes. Other models, however, conceptualize mania and depression as independent dimensions ( Bystritsky et al, 2012 ; Cochran et al, 2018 ; Goldbeter, 2013 ; Goldbeter, 2011 ; Hadaeghi et al, 2015 ; Huber et al, 2000 ; Lopez, 2008 ). According to these models, perturbations can trigger episodes of either polarity.…”

Section: Introductionmentioning

confidence: 99%

Belief updating in bipolar disorder predicts time of recurrence

Ossola

Garrett

Sharot

et al. 2020

eLife

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Bipolar disorder is a chronic relapsing condition in which mood episodes are interspersed with periods of wellbeing (euthymia). Shorter periods of euthymia are associated with poorer functioning, so it is crucial to identify predictors of relapse to facilitate treatment. Here, we test the hypothesis that specific valence-dependent learning patterns emerge prior to the clinical manifestation of a relapse, predicting its timing. The ability to update beliefs in response to positive and negative information was quantified in bipolar patients during euthymia, who were then monitored for 5 years. We found that reduced tendency to update beliefs in response to positive relative to negative information predicted earlier relapse. Less updating in response to positive information may generate pessimistic beliefs, which in turn can lead to more severe prodromal symptoms (e.g. sleep disturbance, irritability etc.). The results suggest that measuring valence-dependent belief updating could facilitate risk prediction in bipolar disorder.

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“…More complex mathematical methods have also been applied to actigraphy data, with nonlinear dynamic indices shown to correlate with vulnerability to BD, presence of BD, and mania 73–76 . Faedda and colleagues 77 found that an algorithm including most of the analyses above discriminated between pediatric BD, ADHD, and controls.…”

Section: Actigraphymentioning

confidence: 99%

Measuring circadian function in bipolar disorders: Empirical and conceptual review of physiological, actigraphic, and self‐report approaches

et al. 2020

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Background Interest in biological clock pathways in bipolar disorders (BD) continues to grow, but there has yet to be an audit of circadian measurement tools for use in BD research and practice. Procedure The International Society for Bipolar Disorders Chronobiology Task Force conducted a critical integrative review of circadian methods that have real‐world applicability. Consensus discussion led to the selection of three domains to review—melatonin assessment, actigraphy, and self‐report. Results Measurement approaches used to quantify circadian function in BD are described in sufficient detail for researchers and clinicians to make pragmatic decisions about their use. A novel integration of the measurement literature is offered in the form of a provisional taxonomy distinguishing between circadian measures (the instruments and methods used to quantify circadian function, such as dim light melatonin onset) and circadian constructs (the biobehavioral processes to be measured, such as circadian phase). Conclusions Circadian variables are an important target of measurement in clinical practice and biomarker research. To improve reproducibility and clinical application of circadian constructs, an informed systematic approach to measurement is required. We trust that this review will decrease ambiguity in the literature and support theory‐based consideration of measurement options.

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Towards a complex system understanding of bipolar disorder: A map based model of a complex winnerless competition

Cited by 14 publications

References 54 publications

Toward a complex system understanding of bipolar disorder: A chaotic model of abnormal circadian activity rhythms in euthymic bipolar disorder

Toward a complex system understanding of bipolar disorder: A chaotic model of abnormal circadian activity rhythms in euthymic bipolar disorder

Belief updating in bipolar disorder predicts time of recurrence

Measuring circadian function in bipolar disorders: Empirical and conceptual review of physiological, actigraphic, and self‐report approaches

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