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2017 | OriginalPaper | Buchkapitel

A Comparison of Mathematical Models of Mood in Bipolar Disorder

verfasst von : Amy L. Cochran, André Schultz, Melvin G. McInnis, Daniel B. Forger

Erschienen in: Computational Neurology and Psychiatry

Verlag: Springer International Publishing

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Abstract

We are far from a comprehensive understanding of the dynamics of mood in bipolar disorder. However, a number of models of mood have emerged to describe the pathological fluctuation in mood that is characteristic of this disorder. These models are surprisingly diverse in their dynamical principles, e.g. whether mood is periodic or whether mania and depression are stable points when ignoring external influences. This chapters presents a selective summary of existing models of mood in bipolar disorder and introduces two new models. We focus on a key question: how to differentiate between models when only time courses of mood are available. For each model we consider, time courses are evaluated through data transformations and statistical techniques, including estimating survival functions and spectral density. We then provide guidelines on how to decide whether a certain modeling assumption, e.g. periodicity, is appropriate.

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Vorheriges Kapitel Self-attachment: A Holistic Approach to Computational Psychiatry

Nächstes Kapitel Computational Neuroscience of Timing, Plasticity and Function in Cerebellum Microcircuits

Cyclicity/periodicity should not be confused with “cycling” or “rapid-cycling”. These latter terms are used in BP to define events in which a patient experiences a certain number of episodes within a certain period of time. Cycling in BP does not require that mood is periodic.

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Titel: A Comparison of Mathematical Models of Mood in Bipolar Disorder
verfasst von: Amy L. Cochran
André Schultz
Melvin G. McInnis
Daniel B. Forger
Verlag: Springer International Publishing
Buch: Computational Neurology and Psychiatry
Print ISBN: 978-3-319-49958-1

Electronic ISBN: 978-3-319-49959-8

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-49959-8_11

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