A Comparison of Mathematical Models of Mood in Bipolar Disorder
A Comparison of Mathematical Models of Mood in Bipolar Disorder
复制标题
DOI：
10.1007/978-3-319-49959-8_11
复制
发表时间：
2017-01-01
期刊：
影响因子：
--
通讯作者：
Forger, Daniel B.
中科院分区：
文献类型：
--
作者：
Cochran, Amy L.;Schultz, Andre;Forger, Daniel B.
我们还远未全面了解双相情感障碍的情绪动态。然而，已经出现了许多情绪模型来描述这种疾病特征的病理性情绪波动。这些模型的动力学原理令人惊讶地多样化，例如情绪是否具有周期性，或者在忽略外部影响时，躁狂和抑郁是否是稳定点。本章对双相情感障碍的现有情绪模型进行了选择性总结，并介绍了两个新模型。我们关注一个关键问题：当只有情绪的时间过程可用时，如何区分模型。对于我们考虑的每个模型，时间进程都是通过数据转换和统计技术来评估的，包括估计生存函数和谱密度。然后，我们提供有关如何确定某个建模假设是否成立的指南，例如周期性，合适。
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.