Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:4631-4634. doi: 10.1109/EMBC48229.2022.9871545.
Functional connectivity is a widely used measure for finding the relationships between functional entities of the brain. Recently, more focus has been put on the methods that aim to estimate these relationships in a time-resolved fashion. However, the similarities and differences between these methods are not always clear and can result in unfair and incorrect comparisons. Here, we present a framework that provides a unified, systematic view for some of the more well-known methods. Using the proposed unified framework, we explain different methodologies using a unified language and show how they are similar and different conceptually. We give examples how this framework exposes important assumptions made by various methods, which can help clarify differences in results and facilitate reproducibility. We also show how such a framework will enable us to develop methods that improve upon previous methods.
功能连接是一种广泛用于发现大脑功能实体之间关系的度量方法。最近，人们越来越关注旨在以时间分辨方式估计这些关系的方法。然而，这些方法之间的相似之处和差异并不总是很清楚，可能导致不公平和不正确的比较。在这里，我们提出了一个框架，为一些更著名的方法提供了一个统一的、系统的视图。使用所提出的统一框架，我们使用统一的语言解释不同的方法，并展示它们在概念上是如何相似和不同的。我们给出了一些例子，说明这个框架如何揭示了各种方法所做的重要假设，这有助于澄清结果的差异，并促进可重复性。我们还展示了这样一个框架将如何使我们能够开发出改进以前方法的方法。
