时差对大脑白质功能连接的影响

Psychoradiology Pub Date : 2021-05-24 eCollection Date: 2021-06-01 DOI:10.1093/psyrad/kkaa003
Feifei Zhang, Zhipeng Yang, Kun Qin, John A Sweeney, Neil Roberts, Zhiyun Jia, Qiyong Gong
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引用次数: 0

摘要

背景:跨越五个以上时区的长途飞行可能会产生昼夜节律睡眠障碍,即时差。人们对时差对白质(WM)功能连接(FC)的影响知之甚少:本研究旨在调查受试者在飞越六个时区后,因时差恢复而导致的白质功能连通性变化。方法:本研究对 23 名受试者在飞越六个时区后 24 小时内和 50 天后进行了静息态功能磁共振成像。灰质(GM)和WM网络是通过k均值聚类确定的。对 WM FC 和功能协方差连通性(FCC)进行了分析。然后,使用滑动窗口法建立动态 WM FC。对参与者最初完成旅程时和 50 天后的 WM 静态和动态 FC 及 FCC 进行了比较。情绪评估采用了积极和消极情绪表以及状态焦虑量表:结果:根据哥伦布时差量表(Columbian Jet Lag Scale),所有参与者都被证实有时差症状。与恢复期相比,长途飞行后扣带回网络(WM7)-感觉运动网络和腹侧额叶网络-视觉网络的静态 FC 强度较低。动态 FC 分析也得出了相应的结果。FCC 分析显示,WM7 与其他几个大脑网络,特别是中枢前/中枢后网络之间的连接减弱。此外,情绪评分与 WM7 和感觉运动相关区域之间的 FC 呈负相关:本研究结果进一步证明了 WM 网络的存在,并表明时差与静态和动态 WM FC 和 FCC 的改变有关,尤其是在感觉运动网络中。时差是一个复杂的问题,不仅与睡眠节律有关,还会影响情绪。
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Effect of jet lag on brain white matter functional connectivity.

Background: A long-haul flight across more than five time zones may produce a circadian rhythm sleep disorder known as jet lag. Little is known about the effect of jet lag on white matter (WM) functional connectivity (FC).

Objective: The present study is to investigate changes in WM FC in subjects due to recovery from jet lag after flying across six time zones.

Methods: Here, resting-state functional magnetic resonance imaging was performed in 23 participants within 24 hours of flying and again 50 days later. Gray matter (GM) and WM networks were identified by k-means clustering. WM FC and functional covariance connectivity (FCC) were analyzed. Next, a sliding window method was used to establish dynamic WM FC. WM static and dynamic FC and FCC were compared between when participants had initially completed their journey and 50 days later. Emotion was assessed using the Positive and Negative Affect Schedule and the State Anxiety Inventory.

Results: All participants were confirmed to have jet lag symptoms by the Columbian Jet Lag Scale. The static FC strengthes of cingulate network (WM7)- sensorimotor network and ventral frontal network- visual network were lower after the long-haul flight compared with recovery. Corresponding results were obtained for the dynamic FC analysis. The analysis of FCC revealed weakened connections between the WM7 and several other brain networks, especially the precentral/postcentral network. Moreover, a negative correlation was found between emotion scores and the FC between the WM7 and sensorimotor related regions.

Conclusions: The results of this study provide further evidence for the existence of WM networks and show that jet lag is associated with alterations in static and dynamic WM FC and FCC, especially in sensorimotor networks. Jet lag is a complex problem that not only is related to sleep rhythm but also influences emotion.

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