Dream Database from Donders

======================================== Dream EEG and Mentation (DREAM) data set ======================================== <br> <br> Data set information -------------------- <br> - Common name: Dream Database from Donders - Full name: N/A - Authors: Cagatay Demirel, Jarrod Gott, Martin Dresler - Location: Donders Centre for Cognitive Neuroimaging - Year: 2019 - 2021 - Set ID: 5 - Amendment: 0 - Corresponding author ID: 12 <br> Previous publications: <br> Konkoly, K. R., Appel, K., Chabani, E., Mangiaruga, A., Gott, J., Mallett, R., ... &amp; Paller, K. A. (2021). Real-time dialogue between experimenters and dreamers during REM sleep. Current Biology, 31(7), 1417-1427. <br> Correspondence: <br> [e-mail] <br> <br> Metadata -------- <br> - Key ID: 6 - Date entered: 2023-02-21T12:48:54+00:00 - Number of samples: 7 - Number of subjects: 6 - Proportion REM: 14% - Proportion N1: 14% - Proportion N2: 43% - Proportion W: 0% - Proportion experience: 100% - Proportion no-experience: 0% - Proportion healthy: 100% - Provoked awakening: Yes - Time of awakening: Morning - Form of response: Structured - Date approved: 2023-02-21T12:47:51+00:00 <br> <br> How to decode data files ------------------------ <br> * EEG files: All the EEG data are already transformed into ".edf" format from original Brainvision files. * Dream reports: Microsoft Word files in .docx format are used to format the dream reports in our study. Initially, we captured dream reports as .wav files and then meticulously refined the transcribed text to extract clear and accurate dream reports. <br> <br> ### Treatment group codes ### <br> Codes correspond to the study numbers described below. <br> <br> Experimental description ------------------------ <br> The database consists of data from three projects: <br> * Real-time dialogue during lucid dreaming (study no: 0): Subjects communicated with the researchers while lucid dreaming, and answered very basic calculations with eye signals (e.g "what is 8 minus 6? --&gt; "answer is 2 by moving ocular muscles on both sides to count the amount of eye signalling). * Motor-decoding during lucid dreaming (study no: 1): The goal is to induce hand-clenching during lucid dreams. In this experiment, participants are instructed to provide LRLR eye signals between each hand-clenching event to differentiate between the occurrences. <br> * Other dream data: No experimental description, just some high-density EEG data with the dream content (study no: 2). <br> Note: Please note that the majority of "dream recall" moments, clear phasic REM stages, and lucid dreaming (in some individuals) occurred around midday during our study. It is important to mention that all participants arrived at the EEG lab with high REM pressure around 7:00 a.m., and the events were observed between 11:00-12:00. As a result, our dream segments are more likely to be perceived as "day awakenings". <br> Note: The data was collected under blanket ethical approval, and informed consent for participation was obtained from subjects. <br> ### DREAM categorization procedure ### <br> N/A <br> <br> ### Data acquisition ### <br> The equipment used in this study included: - Easycap 128-channel EEG device (using the 10/05 EEG layout) with passive electrodes, which included EMG, EOG, and ECG. - actiCAP 64-channel EEG device (using the 10/10 EEG layout). * During study no. 1 and no. 2, certain EEG channels are converted into EOG and skin EMG signals through the use of adhesive holders. To avoid confusion, all modified channels are given updated names to reflect their current function. * ExG box with additional passive and bipolar EOG and EMGs are utilized. <br> ### Data preprocessing ### <br> The EEG data in the .edf format has not been preprocessed and remains in its raw form. However, since the data was originally collected from Brainvision files, the 3D electrode layout information (using the 10/10 system) is already embedded in the .edf files. As a result, when loading the data into either FieldTrip or MNE platforms, the layout information will be automatically included, and there is no need to search for an external EEG layout to integrate the data structure into MATLAB or Python platforms. <br> ### Recommended data preprocessing for the whole data ### <br> Various preprocessing pipelines could be utilized for the intended analysis; however, this is the most general preprocessing pipeline identified for our specific dataset. <br> 1) Channel type assignment 2) Notch filter at 50 Hz 3) 0.1 - 49 Hz band-pass filter (in case above 50 Hz are not interested). 4) Noisy-channel tagging &amp; interpolation 5) Optionally, EEG channel interpolation can be performed to generate artificial EEG signals on channels that have been converted to EOG and EMG. 6) Signal-space projection (SSP): https://mne.tools/0.16/manual/preprocessing/ssp.html

======================================== 梦境脑电图与心理活动（DREAM）数据集 ========================================

## 数据集基本信息
--------------------
- 通用名称：唐德斯梦境数据库
- 全称：无
- 作者：卡加塔伊·德米雷尔（Cagatay Demirel）、贾罗德·戈特（Jarrod Gott）、马丁·德雷斯勒（Martin Dresler）
- 所属机构：唐德斯认知神经成像中心
- 采集年份：2019–2021
- 数据集编号：5
- 修订版本：0
- 通讯作者编号：12

## 已发表相关文献
康科利（Konkoly, K. R.）、阿普尔（Appel, K.）、查巴尼（Chabani, E.）、曼贾鲁加（Mangiaruga, A.）、戈特（Gott, J.）、马利特（Mallett, R.）等及帕尔（Paller, K. A.）（2021）. 快速眼动睡眠期间实验者与梦者的实时对话. 《当代生物学》（Current Biology）, 31(7), 1417–1427.

## 联系方式
[e-mail]

## 元数据
--------
- 元数据关键编号：6
- 录入日期：2023-02-21T12:48:54+00:00
- 样本量：7
- 受试者数量：6
- 快速眼动睡眠（REM）占比：14%
- N1睡眠占比：14%
- N2睡眠占比：43%
- 觉醒状态（W）占比：0%
- 有梦境回忆占比：100%
- 无梦境回忆占比：0%
- 健康受试者占比：100%
- 唤醒方式：主动唤醒
- 唤醒时间：晨间
- 应答形式：结构化应答
- 审核通过日期：2023-02-21T12:47:51+00:00

## 数据文件解码方式
------------------------
* 脑电图（EEG）文件：所有脑电图数据已从原始Brainvision格式转换为.edf格式。
* 梦境报告：本研究采用.docx格式的Microsoft Word文件存储梦境报告。最初我们以.wav格式录制梦境口述报告，随后经精细转录与润色，提取得到清晰准确的梦境文本报告。

### 分组编码说明 ###
编码对应如下所述的研究编号。

## 实验说明
------------------------
本数据库包含三个项目的数据：
* 清醒梦境实时对话项目（研究编号：0）：受试者在清醒梦境状态下与研究者进行沟通，并通过眼动信号完成基础算术作答（例如“8减6等于多少？→ 通过双侧眼肌运动计数作答，答案为2”）。
* 清醒梦境运动解码项目（研究编号：1）：实验目标为在清醒梦境中诱发手部握拳动作。本实验中，要求受试者在每次手部握拳动作之间通过LRLR眼动信号进行区分标记。
* 其他梦境数据项目（研究编号：2）：无额外实验说明，仅包含附带梦境内容的高密度脑电图数据。

注意：本研究中多数“梦境回忆”时段、清晰的阶段性快速眼动睡眠阶段，以及部分受试者的清醒梦境均出现在午间时段。需特别说明的是，所有受试者于早上7:00左右抵达脑电图实验室时已处于较高快速眼动睡眠压力状态，相关实验事件均在11:00–12:00之间被观测到。因此，本数据集的梦境片段更易被归类为“日间唤醒”样本。
注意：本数据集的采集已获得正式伦理审批，所有受试者均签署了知情同意书。

### DREAM分类流程 ###
无

## 数据采集
------------------------
本研究使用的设备包括：
- 采用10/05脑电图布局的Easycap 128通道脑电图设备，搭配无源电极，同步采集肌电（EMG）、眼电（EOG）及心电（ECG）信号。
- actiCAP 64通道脑电图设备，采用10/10脑电图布局。
* 在研究编号1和2的实验中，部分脑电图通道通过粘贴式支架转换为眼电与皮肤肌电信号。为避免混淆，所有修改后的通道均已更新命名，以反映其当前功能。
* 额外配备ExG盒，用于采集附加的无源双极眼电与肌电信号。

## 数据预处理
------------------------
本数据集的.edf格式脑电图数据未经过预处理，保留原始状态。由于该数据最初由Brainvision文件转换而来，其3D电极布局信息（采用10/10系统）已内嵌至.edf文件中。因此，当将数据导入FieldTrip或MNE平台时，电极布局信息将自动加载，无需额外搜索外部脑电图布局文件即可将数据结构整合至MATLAB或Python平台。

## 全数据集推荐预处理流程
------------------------
针对本数据集的分析可采用多种预处理流程，以下为针对该数据集通用的标准预处理步骤：
1. 通道类型赋值
2. 50Hz陷波滤波
3. 0.1–49Hz带通滤波（若无需处理50Hz以上频段）
4. 噪声通道标记与插值
5. （可选）对已转换为眼电与肌电信号的通道进行脑电图通道插值，以生成人工脑电图信号
6. 信号空间投影（SSP）：https://mne.tools/0.16/manual/preprocessing/ssp.html