Mobile electroencephalography & computational modelling to understand the role of sleep in disease progression in amnestic mild cognitive impairment

利用移动脑电图（EEG）和计算模型了解睡眠在健忘轻度认知障碍疾病进展中的作用慢波睡眠（SWS）的中断与痴呆的发病机制和功能后果有关。SWS对于清除有毒的痴呆症相关蛋白至关重要，并在记忆巩固中发挥重要作用。遗忘性轻度认知障碍（aMCI）是痴呆症最早可识别的阶段，大多数患者进展为阿尔茨海默病。睡眠质量在aMCI中发生改变，并与随后的清醒认知表现有关，然而，研究样本很小，缺乏睡眠的脑电图测量。因此，SWS、aMCI与疾病进展之间的联系尚不清楚。确定aMCI中SWS的变化可以为疾病改善和症状管理提供重要的治疗靶点。从历史上看，睡眠一直是用多导睡眠仪来测量的，要求参与者在睡眠诊所过夜，戴着干扰睡眠的设备。这个项目将是同类项目中第一个利用尖端的移动、可穿戴脑电图技术，在没有实验人员在场的情况下，彻底改变家庭环境中睡眠的临床评估。DreemTM是市场领导者和项目合作伙伴。其目的是：1。利用远程、基于家庭的脑电图数据收集来描述aMCI患者睡眠变化的特征。检查SWS和清醒时认知表现之间的关系。使用睡眠脑电图建立数学模型并预测轻度认知障碍向痴呆的转变方法：将从联合主管Coulthard博士的memorbr记忆诊所志愿者数据库的1500名患者中招募100名轻度认知障碍患者，为期2年。他们将完成认知和睡眠的标准化测试（ACE-III， PSQI），并提供dream EEG耳机和笔记本电脑。我将每晚通过在线视频电话向患者和伴侣/护理人员提供指导，为期1个适应环境+ 7个测试夜。患者还将完成一项由stohart博士开发的新型脑电图测试（也通过Dreem EEG），以评估注意力、记忆力和语言功能。患者的临床结果，如转化为痴呆，将每6个月更新一次。计算模型将利用睡眠脑电图的频谱特征来理解网络功能障碍和预测转化为痴呆。与MRC相关：该研究项目符合MRC的神经科学和心理健康主题，该主题支持旨在促进我们对大脑和中枢神经系统疾病的理解的工作，以便开发新的干预和治疗方法。

Using mobile electroencephalography (EEG) and computational modelling to understand the role of sleep in disease progression in amnestic mild cognitive impairmentThe disruption of slow wave sleep (SWS) is implicated in the pathogenesis and functional consequences of dementia. SWS is critical for clearing toxic dementia-linked proteins, and plays an essential role in memory consolidation. Amnestic Mild Cognitive Impairment (aMCI) is the earliest identifiable stage of dementia, with the majority of patients progressing to Alzheimer's disease. Sleep quality is altered in aMCI, and linked to subsequent waking cognitive performance, however, study samples have been small and lacking EEG measures of sleep. Consequently, the link between SWS, aMCI and disease progression is unknown. Identifying SWS changes in aMCI could provide a significant therapeutic target for both disease-modification and symptom management. Historically sleep has been measured using polysomnography, requiring participants to stay overnight in sleep clinics, wearing sleep disruptive equipment. This project will be the first of its kind to harness cutting edge mobile, wearable EEG technology to revolutionise the clinical assessment of sleep in the home environment, with no experimenter present. DreemTM are market leader and project partner. The aims are to:1. Characterise changes to sleep in aMCI using remote, home-based EEG data collection.2. . Examine the relationship between SWS and waking cognitive performance3. Develop mathematical models using sleep EEG and predict the conversion of MCI to dementia Methods: 100 aMCI patients will be recruited from co-supervisor, Dr Coulthard's, ReMemBr Memory Clinic volunteer database of 1500 patients, over 2 years. They will complete standardised tests of cognition and sleep (ACE-III, PSQI), and be provided with a Dreem EEG headset and laptop. I will provide instructions to the patient and partner/carer via an online video call each night, for 1 acclimatisation + 7 test nights. Patients will also complete a novel EEG test battery (also via Dreem EEG), developed by Dr Stothart to assess attention, memory and language function. Patient clinical outcome, e.g. conversion to dementia, will be updated at 6 monthly intervals. Computational models will be developed using the spectral characteristics of sleep EEG to understand network dysfunction and predict conversion to dementia. Relevance to MRC: This research project fits within MRC's Neuroscience and Mental Health theme, which supports work that aims to advance our understanding of disorders of the brain and central nervous system so that new interventions and treatments can be developed.