OBJECTIVE Aim of the present study is to investigate the alterations of brain networks derived from EEG analysis in pre- and post-sleep onset conditions after 40 h of sleep deprivation (SD) compared to sleep onset after normal sleep in 39 healthy subjects. METHODS Functional connectivity analysis was made on electroencelographic (EEG) cortical sources of current density and small world (SW) index was evaluated in the EEG frequency bands (delta, theta, alpha, sigma and beta). RESULTS Comparing pre- vs. post-sleep onset conditions after a night of SD a significant decrease of SW in delta and theta bands in post-sleep onset condition was found together with an increase of SW in sigma band. Comparing pre-sleep onset after sleep SD versus pre-sleep onset after a night of normal sleep a decreased of SW index in beta band in pre-sleep onset in SD compared to pre-sleep onset in normal sleep was evidenced. CONCLUSIONS Brain functional network architecture is influenced by the SD in different ways. Brain networks topology during wake resting state needs to be further explored to reveal SD-related changes in order to prevent possible negative effects of SD on behaviour and brain function during wakefulness. SIGNIFICANCE The SW modulations as revealed by the current study could be used as an index of an altered balance between brain integration and segregation processes after SD.

中文翻译：

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剥夺后入睡期间的大脑网络组织

目的 本研究的目的是调查 39 名健康受试者在睡眠剥夺 (SD) 40 小时后与正常睡眠后睡眠发作相比，在睡前和睡后发作条件下脑电图分析得出的脑网络的变化。方法对脑电图 (EEG) 皮层电流密度源进行功能连接分析，并在 EEG 频带（delta、theta、alpha、sigma 和 beta）中评估小世界 (SW) 指数。结果 比较 SD 一晚后的睡眠前和睡眠后的发作条件，发现睡眠后发作条件下 delta 和 theta 波段的 SW 显着降低，而 sigma 波段的 SW 增加。将睡眠 SD 后的睡前发作与正常睡眠一夜后的睡前发作进行比较，证明与正常睡眠中的睡前发作相比，SD 中的睡前发作时 beta 波段中的 SW 指数降低。结论 大脑功能网络架构受 SD 以不同方式影响。需要进一步探索清醒静息状态下的大脑网络拓扑结构，以揭示 SD 相关的变化，以防止 SD 对清醒期间行为和大脑功能可能产生的负面影响。意义当前研究揭示的 SW 调制可用作 SD 后大脑整合和分离过程之间平衡改变的指标。需要进一步探索清醒静息状态下的脑网络拓扑结构，以揭示 SD 相关的变化，以防止 SD 对清醒期间行为和大脑功能可能产生的负面影响。意义当前研究揭示的 SW 调制可用作 SD 后大脑整合和分离过程之间平衡改变的指标。需要进一步探索清醒静息状态下的脑网络拓扑结构，以揭示 SD 相关的变化，以防止 SD 对清醒期间行为和大脑功能可能产生的负面影响。意义当前研究揭示的 SW 调制可用作 SD 后大脑整合和分离过程之间平衡改变的指标。