Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-NUS Medical School, National University of Singapore, Singapore.
Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-NUS Medical School, National University of Singapore, Singapore.
Neuroimage. 2018 Aug 15;177:1-10. doi: 10.1016/j.neuroimage.2018.04.049. Epub 2018 Apr 25.
Fluctuations in resting-state functional connectivity and global signal have been found to correspond with vigilance fluctuations, but their associations with other behavioral measures are unclear. We evaluated 52 healthy adolescents after a week of adequate sleep followed by five nights of sleep restriction to unmask inter-individual differences in cognition and mood. Resting state scans obtained at baseline only, analyzed using sliding window analysis, consistently yielded two polar dynamic functional connectivity states (DCSs) corresponding to previously reported 'low arousal' and 'high arousal' states. We found that the relative temporal preponderance of two dynamic connectivity states (DCS) in well-rested participants, indexed by a median split of participants, based on the relative time spent in these DCS, revealed highly significant group differences in vigilance at baseline and its decline following multiple nights of sleep restriction. Group differences in processing speed and working memory following manipulation but not at baseline suggest utility of DCS in predicting cognitive vulnerabilities unmasked by a stressor like sleep restriction. DCS temporal predominance was uninformative about mood and sleepiness speaking to specificity in its behavioral predictions. Global signal fluctuation provided information confined to vigilance. This appears to be related to head motion, which increases during periods of low arousal.
静息态功能连接和全局信号的波动已被发现与警觉性波动相对应,但它们与其他行为测量的关联尚不清楚。我们在一周充足的睡眠后,对 52 名健康青少年进行了评估,随后进行了五个晚上的睡眠限制,以揭示个体间认知和情绪的差异。仅在基线获得的静息状态扫描,使用滑动窗口分析进行分析,始终产生两种极性的动态功能连接状态(DCS),与之前报道的“低唤醒”和“高唤醒”状态相对应。我们发现,在休息良好的参与者中,根据参与者在这些 DCS 中花费的相对时间,通过中位数划分来对两种动态连接状态(DCS)的相对时间优势进行索引,这与基线时的警觉性及其在多个晚上的睡眠限制后下降高度显著相关。处理速度和工作记忆的组间差异在操作后而不是在基线时出现,这表明 DCS 在预测像睡眠限制这样的应激源所揭示的认知脆弱性方面具有实用性。DCS 时间优势对情绪和嗜睡没有提供信息,表明其行为预测具有特异性。全局信号波动提供的信息仅限于警觉性。这似乎与头部运动有关,头部运动会在低唤醒期增加。