Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, United States; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, United States.
Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, United States; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, United States; Department of Philosophy, Duke University, Durham, NC 27708, United States.
Phys Life Rev. 2024 Jul;49:139-156. doi: 10.1016/j.plrev.2024.04.012. Epub 2024 Apr 30.
Functional connectivity is conventionally defined by measuring the similarity between brain signals from two regions. The technique has become widely adopted in the analysis of functional magnetic resonance imaging (fMRI) data, where it has provided cognitive neuroscientists with abundant information on how brain regions interact to support complex cognition. However, in the past decade the notion of "connectivity" has expanded in both the complexity and heterogeneity of its application to cognitive neuroscience, resulting in greater difficulty of interpretation, replication, and cross-study comparisons. In this paper, we begin with the canonical notions of functional connectivity and then introduce recent methodological developments that either estimate some alternative form of connectivity or extend the analytical framework, with the hope of bringing better clarity for cognitive neuroscience researchers.
功能连接通常通过测量两个区域的脑信号之间的相似性来定义。该技术已在功能磁共振成像 (fMRI) 数据分析中广泛采用，为认知神经科学家提供了大量关于大脑区域如何相互作用以支持复杂认知的信息。然而，在过去十年中，“连接”的概念在其应用于认知神经科学的复杂性和异质性方面都有所扩展，导致解释、复制和跨研究比较更加困难。在本文中，我们从功能连接的典型概念开始，然后介绍最近的方法学进展，这些进展要么估计某种替代形式的连接，要么扩展分析框架，希望为认知神经科学研究人员带来更好的清晰度。
