Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies, Part 5 of 16

Sleep is observed in most animals, which suggests it subserves a fundamental process associated with adaptive biological functions. However, the evidence to directly associate sleep with a specific function is lacking, in part because sleep is not a single process in many animals. In humans and other mammals, different sleep stages have traditionally been identified using electroencephalograms (EEGs), but such an approach is not feasible in different animals such as insects. Here, we perform long-term multichannel local field potential (LFP) recordings in the brains of behaving flies undergoing spontaneous sleep bouts. We developed protocols to allow for consistent spatial recordings of LFPs across multiple flies, allowing us to compare the LFP activity across awake and sleep periods and further compare the same to induced sleep. Using machine learning, we uncover the existence of distinct temporal stages of sleep and explore the associated spatial and spectral features across the fly b..., , , ## Data from: Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies, Part 5 of 16 ## Description of the data and file structure This is a part of the multi-part dataset containing local field potential (lfp) recordings and video data of 16 `Drosophila melanogaster` flies. This part contains data from `07_01112018_SponSleep_LFP` ## Dataset contents Each dataset (after collation for individual fly using software below) consists of a specific spontaneous sleep recording for each fly. For e.g. 07_01112018_SponSleep_LFP contains lfp and video recorded from a particular drosophila on 01-11-2018. Within each folder there are two subfolders. * lfp: contains two further subfolders: * folder ending with `_Calib` contains lfp data recorded when calibration (electrode insertion) was performed as a single block. * folder ending with `_LFP` contains lfp data of the full recording, either as a single block or ...睡眠广泛存在于绝大多数动物类群中，提示睡眠承担着与适应性生物学功能相关的核心生理过程。然而，目前尚未有确凿证据可直接将睡眠与某一特定功能相关联，这在一定程度上是因为许多动物的睡眠并非单一均质的过程。在人类及其他哺乳动物中，传统上通过脑电图（electroencephalogram, EEG）来区分不同睡眠阶段，但该方法在昆虫等其他动物中并不可行。本研究对处于自发睡眠片段的活动果蝇大脑开展了长期多通道局部场电位（local field potential, LFP）记录。我们开发了可实现多果蝇间一致空间LFP记录的实验方案，得以比较清醒与睡眠状态下的LFP活动，并进一步将其与诱导睡眠状态进行对比。借助机器学习方法，我们揭示了果蝇睡眠存在不同显著时间阶段的事实，并探究了果蝇睡眠周期中相关的空间与频谱特征…… ## 数据来源：《多通道长期电生理数据的多元分类鉴定果蝇不同睡眠阶段》，共16部分之第5部分 ### 数据与文件结构说明 本数据集为多部分合集的其中一部分，包含16只黑腹果蝇（Drosophila melanogaster）的局部场电位（LFP）记录与视频数据。 本部分数据来自`07_01112018_SponSleep_LFP`。 ### 数据集内容 经下述软件整理为单只果蝇专属数据集后，每个数据集对应单只果蝇的自发睡眠记录。例如`07_01112018_SponSleep_LFP`包含2018年11月1日采集自某只果蝇的LFP与视频数据。每个文件夹下设两个子文件夹： * `lfp`：包含两个次级子文件夹： * 以`_Calib`结尾的文件夹：存储电极植入校准阶段采集的LFP数据，为单块连续记录。 * 以`_LFP`结尾的文件夹：存储完整记录周期的LFP数据，可为单块连续记录或……