Variability in Cumulative Habitual Sleep Duration Predicts Waking Functional Connectivity
Variability in Cumulative Habitual Sleep Duration Predicts Waking Functional Connectivity
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DOI：
10.5665/sleep.5324
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发表时间：
2016-01-01
期刊：
影响因子：
5.6
通讯作者：
Bagshaw, Andrew P.
中科院分区：
文献类型：
--
作者：
Khalsa, Sakh;Mayhew, Stephen D.;Bagshaw, Andrew P.
研究目的：我们研究了习惯性睡眠模式的个体间差异是否反映在三个内在连接网络（ICN）的主要节点之间的网络内和网络间功能连接（FC）的清醒测量中：默认模式网络（DMN），显着性网络（SN）和中央执行网络（CEN）。静息状态功能磁共振成像（fMRI）研究，采用基于种子的FC分析结合14 d腕动记录、睡眠日记和主观问卷（N = 33名健康成人，平均年龄34.3岁，标准差+/- 11.6岁）。采用多元线性回归对数据进行统计学分析。在伯明翰大学成像中心，在参与者的家庭环境中进行连续14天的腕关节活动记录，并在第14天进行fMRI扫描。对ICN进行基于种子的FC分析，来自静息状态fMRI数据和对每个ICN种子和靶标进行的多元线性回归分析。结果：以DMN内侧前额叶皮层（MPFC）作为FC的种子区，cTST能特异性预测网络内FC，FC与cTST呈正相关。对于不包括MPFC的任何一对节点，FC和cTST之间均无显著关系。cTST还预测了DMN（MPFC）和SN（右前脑岛）之间的网络间FC，观察到FC与cTST之间呈负相关。结论：本研究提高了对固有连接网络（ICN）的网络内和网络间功能连接性之间关系的理解与习惯性睡眠质量和持续时间有关。参与者在14天内获得的累积睡眠量可以显著预测ICN的内部网络和网络间功能连接，这一观察结果可能是睡眠状态与认知表现之间联系的基础。
Study Objectives: We examined whether interindividual differences in habitual sleep patterns, quantified as the cumulative habitual total sleep time (cTST) over a 2-w period, were reflected in waking measurements of intranetwork and internetwork functional connectivity (FC) between major nodes of three intrinsically connected networks (ICNs): default mode network (DMN), salience network (SN), and central executive network (CEN).Methods: Resting state functional magnetic resonance imaging (fMRI) study using seed-based FC analysis combined with 14-d wrist actigraphy, sleep diaries, and subjective questionnaires (N = 33 healthy adults, mean age 34.3, standard deviation +/- 11.6 y). Data were statistically analyzed using multiple linear regression. Fourteen consecutive days of wrist actigraphy in participant's home environment and fMRI scanning on day 14 at the Birmingham University Imaging Centre. Seed-based FC analysis on ICNs from resting-state fMRI data and multiple linear regression analysis performed for each ICN seed and target. cTST was used to predict FC (controlling for age).Results: cTST was specific predictor of intranetwork FC when the mesial prefrontal cortex (MPFC) region of the DMN was used as a seed for FC, with a positive correlation between FC and cTST observed. No significant relationship between FC and cTST was seen for any pair of nodes not including the MPFC. Internetwork FC between the DMN (MPFC) and SN (right anterior insula) was also predicted by cTST, with a negative correlation observed between FC and cTST.Conclusions: This study improves understanding of the relationship between intranetwork and internetwork functional connectivity of intrinsically connected networks (ICNs) in relation to habitual sleep quality and duration. The cumulative amount of sleep that participants achieved over a 14-d period was significantly predictive of intranetwork and inter-network functional connectivity of ICNs, an observation that may underlie the link between sleep status and cognitive performance.