Nonlinear dynamics of mood regulation in bipolar disorder

Nonlinear dynamics of mood regulation in bipolar disorder
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DOI:
10.1111/bdi.12246
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发表时间:
2015-03-01
期刊:
影响因子:
5.4
通讯作者:
Alda, Martin
Alda, Martin
中科院分区:
医学2区
文献类型:
--
作者:
Ortiz, Abigail;Bradler, Kamil;Alda, Martin

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ObjectivesWe试图研究的基本动态过程中参与情绪调节的受试者与双相情感障碍和健康对照受试者使用时间序列分析,然后分析焦虑和情绪之间的关系,使用交叉相关techniques.MethodsWe招募了30名健康对照和30名情绪正常的双相情感障碍患者。参与者使用基于纸张的视觉模拟量表评估他们的情绪,焦虑和能量水平;他们还记录了他们的睡眠和任何生活事件。在三个月期间,每天提供关于这些变量的资料,每天两次。我们使用Box-Jenkins时间序列分析来分析数据,以获得该系列的自相关性(情绪)和互相关(情绪和焦虑系列)的信息。情绪、焦虑和精力的自我评价在两组中呈正态分布。两组情绪的自相关函数由自回归综合移动平均(ARIMA)(1,1,0)模型控制,这意味着该系列中的当前值仅与前一个点相关。我们还发现了情绪和anxiety.ConclusionsMood之间的负相关可以被认为是一个记忆随机过程,它是一个灵活的,动态的过程,有一个短的记忆“在健康对照组和euthymic双相情感障碍患者。这一过程在未经治疗的患者或急性病患者中可能完全不同。我们的研究结果表明,非线性措施可以应用于情绪障碍的研究。
ObjectivesWe sought to study the underlying dynamic processes involved in mood regulation in subjects with bipolar disorder and healthy control subjects using time-series analysis and to then analyze the relation between anxiety and mood using cross-correlation techniques.MethodsWe recruited 30 healthy controls and 30 euthymic patients with bipolar disorder. Participants rated their mood, anxiety, and energy levels using a paper-based visual analog scale; and they also recorded their sleep and any life events. Information on these variables was provided over a three-month period on a daily basis, twice per day. We analyzed the data using Box-Jenkins time series analysis to obtain information on the autocorrelation of the series (for mood) and cross-correlation (mood and anxiety series).ResultsThroughout the study, we analyzed 10,170 data points. Self-ratings for mood, anxiety, and energy were normally distributed in both groups. Autocorrelation functions for mood in both groups were governed by the autoregressive integrated moving average (ARIMA) (1,1,0) model, which means that current values in the series were related to one previous point only. We also found a negative cross-correlation between mood and anxiety.ConclusionsMood can be considered a memory stochastic process; it is a flexible, dynamic process that has a short memory' both in healthy controls and euthymic patients with bipolar disorder. This process may be quite different in untreated patients or in those acutely ill. Our results suggest that nonlinear measures can be applied to the study of mood disorders.