Gamble Mackenzie C, Williams Benjamin R, McKenna James T, Logan Ryan W
Molecular and Translational Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Sleep Adv. 2025 May 20;6(2):zpaf032. doi: 10.1093/sleepadvances/zpaf032. eCollection 2025 Apr.
Analyzing scored sleep is a fundamental prerequisite to understanding how sleep changes between health and disease. Classically, this is accomplished by manually calculating various measures (e.g. percent of non-rapid eye movement sleep) from a collection of scored sleep files. This process can be tedious and error-prone, especially when studies include large animal numbers or involve long recording sessions. To address this issue, we present SleepInvestigatoR, a versatile tool that can quickly organize and analyze multiple scored sleep files into a single output. The function is written in the open-source statistical language R and has a total of 25 parameters that can be set to match a wide variety of experimental needs. SleepInvestigatoR delivers a total of 23 unique measures of sleep, including all measures commonly reported in the rodent literature. A simple plotting function is also provided to quickly graph and visualize the scored data. All code is designed to be implemented with little formal coding knowledge, and step-by-step instructions are provided on the corresponding GitHub page. Overall, SleepInvestigatoR provides the sleep researcher a critical tool to increase efficiency, interpretation, and reproducibility in analyzing scored rodent sleep.
分析评分睡眠是理解健康与疾病状态下睡眠变化的基本前提。传统上，这是通过从一系列评分睡眠文件中手动计算各种指标（如非快速眼动睡眠百分比）来实现的。这个过程可能既繁琐又容易出错，尤其是当研究涉及大量动物或长时间记录时。为了解决这个问题，我们推出了SleepInvestigatoR，这是一个多功能工具，它可以快速将多个评分睡眠文件整理并分析为单个输出。该功能用开源统计语言R编写，共有25个参数可设置，以满足各种实验需求。SleepInvestigatoR总共提供23种独特的睡眠指标，包括啮齿动物文献中通常报道的所有指标。还提供了一个简单的绘图功能，以便快速绘制并可视化评分数据。所有代码的设计都无需太多正式的编码知识，并且在相应的GitHub页面上提供了逐步说明。总体而言，SleepInvestigatoR为睡眠研究人员提供了一个关键工具，可提高分析评分啮齿动物睡眠时的效率、解读能力和可重复性。
