A comparison of mathematical models of mood in bipolar disorder (Cochran et al. 2017)


" ... we evaluated existing models of mood in BP (Bipolar Disorder) (...) and two new models we proposed here (...). Each model makes different assumptions about mood dynamics. Our objective was to differentiate between models using only time courses of mood. ..."

Model Concept(s): Bipolar Disorder (BP)

Simulation Environment: MATLAB (web link to model)

Implementer(s): Cochran, Amy L. [cochraam at umich.edu]

References:

Forger DB, Cochran AL, Schultz A, McInnis MG. (2017). A Comparison of Mathematical Models of Mood in Bipolar Disorder (Chapter 12) Computational Neurology and Psychiatry, Springer Series in Bio-/Neuroinformat., Eds. √Črdi P, et al. 6

Lopez A. (2008). Markov models for longitudinal course of youth bipolar disorder ProQuest

Daugherty D et al. (2009). Mathematical models of bipolar disorder Communications in Nonlinear Science and Numerical Simulation 14(7)

Goldbeter A. (2011). A model for the dynamics of bipolar disorders. Progress in biophysics and molecular biology 105 [PubMed]

Bonsall MB, Wallace-Hadrill SM, Geddes JR, Goodwin GM, Holmes EA. (2012). Nonlinear time-series approaches in characterizing mood stability and mood instability in bipolar disorder. Proceedings. Biological sciences 279 [PubMed]

Steinacher A, Wright KA. (2013). Relating the bipolar spectrum to dysregulation of behavioural activation: a perspective from dynamical modelling. PloS one 8 [PubMed]

Bonsall MB, Geddes JR, Goodwin GM, Holmes EA. (2015). Bipolar disorder dynamics: affective instabilities, relaxation oscillations and noise. Journal of the Royal Society, Interface 12 [PubMed]