论文标题
将苹果与苹果进行比较 - 使用模块化和适应性分析管道比较异质数据集的慢速脑节律
Comparing apples to apples -- Using a modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets
论文作者
论文摘要
神经科学正在朝着更综合的学科发展，在这种纪律中，理解大脑功能需要巩固在实验，物种和测量技术中看到的积累证据。该路径上的剩余挑战是将这种异质数据整合到分析工作流程中，以便可以将一致和可比较的结论提炼为模型和理论的实验基础。在这里，我们在慢波活性（$ <1 $ hz）的背景下提出了一个解决方案，该解决方案发生在无意识的大脑状态（如睡眠和全身麻醉）中，并在各种实验方法中观察到。我们通过概念化适用于各种输入和应用程序的一般管道设计来解决集成和比较异质数据的问题。此外，我们将协作性脑波分析管道（Cobrawap）作为混凝土，可重复使用的软件实现，以对多个，公开可用的ECOG和钙成像数据集进行慢波特性进行广泛，详细和严格的比较。
Neuroscience is moving towards a more integrative discipline, where understanding brain function requires consolidating the accumulated evidence seen across experiments, species, and measurement techniques. A remaining challenge on that path is integrating such heterogeneous data into analysis workflows such that consistent and comparable conclusions can be distilled as an experimental basis for models and theories. Here, we propose a solution in the context of slow wave activity ($<1$ Hz), which occurs during unconscious brain states like sleep and general anesthesia, and is observed across diverse experimental approaches. We address the issue of integrating and comparing heterogeneous data by conceptualizing a general pipeline design that is adaptable to a variety of inputs and applications. Furthermore, we present the Collaborative Brain Wave Analysis Pipeline (Cobrawap) as a concrete, reusable software implementation to perform broad, detailed, and rigorous comparisons of slow wave characteristics across multiple, openly available ECoG and calcium imaging datasets.
