Oxford Interdisciplinary Bioscience Doctoral Training Partnership

睡眠已被证明是记忆巩固和概括的重要组成部分。提高我们对睡眠和这些重要神经计算之间的关系的了解，对基础和临床神经科学都是有利的。然而，研究表明，在实验室睡觉和在自然主义的居家环境中睡觉可能有重要的区别。在这篇论文中，我们测试了远程在参与者家中进行这些主题研究的可行性。在第二章中，我们测试了在线运动(连续反应时间任务；SRTT)和陈述性(配对联想)记忆任务，以测试它们是否可以在家中学习，以及与醒来相比，它们是否从睡眠中受益。我们发现，虽然这些记忆任务可以远程和在线学习，但它们并没有显示出睡眠比醒来有明显的好处。在第三章中，我们探讨了任务改进是否与睡眠特征相关。使用便携式低密度脑电(EEG)设备(Dreemband)，我们探索了EEG测量的任务表现和睡眠特征之间的协变性。我们发现，纺锤-慢振荡耦合和SRTT的改善之间存在显著的协变，但在配对-联想任务中，睡眠特征和成绩之间没有显著的关系。在第四章中，我们测试了潜在的序列结构是否可以从一个在线任务推广到另一个在线任务，以及这是否得益于睡眠。我们没有发现泛化的证据，因此开发了一个新的任务来探索未来与睡眠相关的泛化。综上所述，本研究建立了可以远程学习的在线运动任务和陈述性任务，发现在家中收集的睡眠特征反映了实验室内的发现，并设立了一个可以远程学习的概括任务，尽管它是否有利于睡眠还有待检验。

Sleep has proven to be an important component of memory consolidation and generalization. Advancing our knowledge of the relationship between sleep and these important neural computations is advantageous to both basic and clinical neuroscience. Research suggests, however, that there may be important differences between sleep in the lab and in a naturalistic, at-home setting. In this thesis, we test the feasibility of conducting research into these topics remotely, in participants' homes. In chapter 2, we test online motor (serial reaction time task; SRTT) and declarative (paired-associates) memory tasks to test whether they can be learned in an at-home setting and whether they benefit from sleep compared to wake. We found that while these memory tasks could be learnt remotely and online, they showed no significant benefit of sleep over wake. In chapter 3, we asked whether task improvement correlated with features of sleep. Using a portable, low density electroencephalography (EEG) device (Dreemband) we explored the covariation between task performance and sleep features as measured by the EEG. We found a significant covariation between spindle-Slow Oscillation coupling and improvement on the SRTT, but no significant relationships between sleep features and performance on the paired-associates task. In chapter 4, we tested whether an underlying sequence structure could be generalized from one online task to another and whether this benefitted from sleep. We found no evidence of generalization and so developed a novel task to probe sleep-associated generalization in the future. In summary, this thesis established online motor and declarative tasks which can be learned remotely, it found that sleep features collected at-home mirror in-lab findings and set up a generalization task that can be learned remotely, although whether it benefits from sleep is yet to be tested.