five

DeGennaro_MultipleAwakenings

收藏
DataCite Commons2026-03-18 更新2024-08-18 收录
下载链接:
https://figshare.com/articles/dataset/DeGennaro_MultipleAwakenings/22086266/1
下载链接
链接失效反馈
官方服务:
资源简介:
Twenty subjects (age range 18-30) were involved in the protocol.All participants signed informed consent for the collection and treatment of data prior to participating to the experiment. Each subject participated in two experimental sessions structured as follows: a) EEG montage; b) subjects were instructed to consider any distinct mental activity occurring during sleep as a dream experience; c) polysomnography (PSG) with planned-provoked awakenings; d) final morning awakening. <br> In order to ensure comparability between the two experimental nights, each subject was required to keep regular sleep-wake schedule during the week preceding the experimental session. The compliance was verified by a sleep diary. Experimental sessions were separated by at least one week. Subjects were also requested to abstain from caffeine and alcohol during the day of experimental session. The timing of the sleep–wake schedule during the protocol was adjusted to individual sleep-wake habits. <br> Multiple awakenings were planned for each sleep cycle from REM sleep or NREM sleep after at least 5 min without stage shifts by calling out the first name of the subject through an interphone system. Participants were asked to report if they had (REC condition) or had not (NREC condition) a dream experience just before awakening. We did not collect dream contents to avoid an excessive activation that can interfere with subsequent sleep. <br> <br> <br> --DREAM categorization procedure-- <br> 2 = dream experience, 0 = No dream experience, -2 = No Experience or Experience without recall  <br> <br> ---Technical details--- <br> Derivations with noise/artifacts are reported in the csv file. <br> --Data acquisition-- <br> The PSG was recorded in a sound-proof, temperature-controlled room inside the sleep laboratory. A Brain Amp MR plus system (Brain Products GmbH, Gilching, Munich) was used to record EEG throughout the nights at a sampling rate of 250 Hz. The 28 unipolar EEG derivations placed following the international 10–10 system (C3, C4, Cp1, Cp2, Cp5, Cp6, Cz, F3, F4, F7, F8, Fc1, Fc2, Fc5, Fc6, Fp1, Fp2, Fz, O1, O2, Oz, P3, P4, P7, P8, Pz, T7, T8) were recorded by using an elastic cap (Easycap, Falk Minow, Munich) with sintered Ag–AgCl electrodes. The cortical EEG signals were referenced online to the averaged mastoids (A1, A2) and the ground electrode was located anterior to Fz (Fpz). Electrooculogram (EOG) and submental electromyogram (EMG) channels were also recorded and referenced to mastoids (A1, A2). EEG signals were analogically high-pass filtered with the time constant of 0.3 s and lowpass filtered at 30 Hz. A notch filter was applied (50 Hz). Electrode impedance was fixed below 5 kΩ. Language: Italian. <br> --Data preprocessing-- <br> N/A

本实验共招募20名年龄介于18至30岁的受试者。所有受试者在参与实验前均签署知情同意书,授权进行数据采集与处理。每名受试者需完成两次实验流程,具体设置如下:a) 脑电图(Electroencephalogram,EEG)导联配置;b) 指导受试者将睡眠期间出现的任何明确精神活动判定为梦境体验;c) 采用计划诱发唤醒的多导睡眠图(polysomnography,PSG)监测;d) 最终晨间觉醒。 为保障两次实验夜间数据的可比性,要求每名受试者在实验前一周维持规律的睡眠-觉醒作息,并通过睡眠日志验证其依从性。两次实验间隔至少一周。同时要求受试者在实验当日避免摄入咖啡因与酒精。实验期间的睡眠-觉醒作息将根据受试者个体睡眠习惯进行调整。 本研究计划在每个睡眠周期中,当快速眼动睡眠(Rapid Eye Movement,REM)或非快速眼动睡眠(Non-Rapid Eye Movement,NREM)持续至少5分钟且无睡眠阶段转换时,通过对讲系统呼叫受试者姓名以实施唤醒。唤醒前需询问受试者是否在觉醒前存在梦境体验(REC组),或无梦境体验(NREC组)。本研究未采集梦境内容,以避免过度唤醒干扰后续睡眠。 ——梦境分类程序—— 2 = 存在梦境体验,0 = 无梦境体验,-2 = 无睡眠体验或有体验但无法回忆 ——技术细节—— 存在噪声或伪迹的导联信息将记录于csv文件中。 ——数据采集—— 多导睡眠图监测在睡眠实验室的隔音、恒温房间内完成。采用Brain Amp MR plus系统(Brain Products GmbH,德国慕尼黑吉兴)以250Hz的采样率整夜记录脑电图信号。按照国际10-10系统放置28个单极脑电图导联,具体包括:C3、C4、Cp1、Cp2、Cp5、Cp6、Cz、F3、F4、F7、F8、Fc1、Fc2、Fc5、Fc6、Fp1、Fp2、Fz、O1、O2、Oz、P3、P4、P7、P8、Pz、T7、T8,使用搭载烧结Ag-AgCl电极的弹性帽(Easycap,Falk Minow,德国慕尼黑)进行记录。皮层脑电图信号以双侧乳突(A1、A2)的平均值作为在线参考电极,接地电极位于Fz前方(Fpz位置)。同时记录眼电图(Electrooculogram,EOG)与颏下肌电图(submental Electromyogram,EMG)通道,参考电极同样为双侧乳突(A1、A2)。脑电图信号采用模拟高通滤波(时间常数0.3s)与低通滤波(截止频率30Hz),并施加50Hz陷波滤波。电极阻抗需控制在5kΩ以下。 语言:意大利语 ——数据预处理—— 无相关操作
提供机构:
figshare
创建时间:
2023-03-01
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作