Computational Physiology and Biomedical Instruments group, Department of Information Engineering & Bioengineering and Robotics Research Centre E. Piaggio, School of Engineering, University of Pisa, Pisa, Italy.
Department of Psychiatry and Mental Health, Strasbourg University Hospital, INSERM U1114, University of Strasbourg - F-67000, Strasbourg, France.
Sci Rep. 2017 Dec 20;7(1):17920. doi: 10.1038/s41598-017-18036-z.
This study reports on the complexity modulation of heartbeat dynamics in patients affected by bipolar disorder. In particular, a multiscale entropy analysis was applied to the R-R interval series, that were derived from electrocardiographic (ECG) signals for a group of nineteen subjects comprised of eight patients and eleven healthy control subjects. They were monitored using a textile-based sensorized t-shirt during the day and overnight for a total of 47 diurnal and 27 nocturnal recordings. Patients showed three different mood states: depression, hypomania and euthymia. Results show a clear loss of complexity during depressive and hypomanic states as compared to euthymic and healthy control states. In addition, we observed that a more significant complexity modulation among healthy and pathological mood states occurs during the night. These findings suggest that bipolar disorder is associated with an enhanced sleep-related dysregulation of the Autonomic Nervous System (ANS) activity, and that heartbeat complex dynamics may serve as a viable marker of pathological conditions in mental health.
这项研究报告了双相情感障碍患者心跳动力学复杂性的调制。特别是，应用多尺度熵分析对从心电图（ECG）信号中得出的一组 19 名受试者的 R-R 间期序列进行了分析，其中包括 8 名患者和 11 名健康对照者。他们使用基于纺织品的传感器化 t 恤在白天和夜间进行了总共 47 个日间和 27 个夜间记录。患者表现出三种不同的情绪状态：抑郁、轻躁狂和正常。结果表明，与正常和健康对照组相比，抑郁和轻躁狂状态下的复杂性明显丧失。此外，我们还观察到，在夜间，健康和病理情绪状态之间的复杂性调制更为显著。这些发现表明，双相情感障碍与自主神经系统（ANS）活动的睡眠相关失调增强有关，心跳复杂动力学可能是心理健康病理状况的可行标志物。
