Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies, Part 4 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 4 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 `06_30102018_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. 06_30102018_SponSleep_LFP contains lfp and video recorded from a particular drosophila on 30-10-2018. 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 ...睡眠存在于绝大多数动物之中，这提示睡眠承载着与适应性生物学功能相关的核心生理过程。然而，目前尚缺乏将睡眠与特定功能直接关联的实证依据，部分原因在于许多动物的睡眠并非单一的生理过程。传统上，人类及其他哺乳动物的睡眠分期通过脑电图（electroencephalogram, EEG）进行识别，但这类方法在昆虫等动物中并不可行。本研究对处于自发睡眠发作期的自由活动果蝇脑部进行了长期多通道局部场电位（local field potential, LFP）记录。我们开发了标准化实验方案，可实现多只果蝇间一致的空间LFP记录，由此能够对比清醒与睡眠时段的LFP活动，并进一步将其与诱导睡眠的LFP活动进行比对。借助机器学习方法，我们揭示了果蝇睡眠存在独特的时间时相，并探究了其对应的空间与频谱特征…… ## 数据来源 《多通道长期电生理数据的多变量分类法鉴定果蝇不同睡眠时相》，第4部分（共16部分） ## 数据与文件结构说明 本数据集为多部分数据集之一，收录了16只黑腹果蝇（*Drosophila melanogaster*）的局部场电位（LFP）记录数据与视频数据。本部分数据对应样本`06_30102018_SponSleep_LFP`。 ## 数据集内容 经下述软件整理后，每只果蝇对应一份独立数据集，包含该果蝇的单次自发睡眠记录。例如，`06_30102018_SponSleep_LFP`包含2018年10月30日采集自某只果蝇的LFP数据与视频数据。每个数据集文件夹下设两个子文件夹： * `lfp`：包含两个下级子文件夹： * 以`_Calib`结尾的文件夹：存储电极校准（电极植入）阶段采集的单块LFP数据。 * 以`_LFP`结尾的文件夹：存储完整记录过程中的LFP数据，可能为单块数据或……