A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls.
A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls.
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DOI：
10.3389/fnsys.2015.00175
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发表时间：
2015
影响因子：
3
通讯作者：
Schoffelen JM
中科院分区：
文献类型：
--
作者：
Bastos AM;Schoffelen JM
振荡神经元活动可能为动态网络协调提供一种机制。节律性神经元相互作用可以使用多种指标进行量化，每种指标都有其自身的优缺点。本教程将回顾和总结侵入性和非侵入性电生理学领域中用于研究神经元群体之间动态连接的当前分析方法。首先，我们回顾功能连接性的指标，包括相干性、相位同步、相位斜率指数和格兰杰因果关系，其具体目的是提供对这些指标如何工作以及它们的定量定义的直观理解。接下来，我们强调在进行功能连接性分析时可能出现的一些解释上的注意事项和常见陷阱，包括公共参考问题、信噪比问题、容积传导问题、公共输入问题和样本量偏差问题。通过展示一组MATLAB脚本来说明这些陷阱，读者可以执行这些脚本来模拟每一个潜在问题。我们讨论如何使用当前方法解决这些问题。
Oscillatory neuronal activity may provide a mechanism for dynamic network coordination. Rhythmic neuronal interactions can be quantified using multiple metrics, each with their own advantages and disadvantages. This tutorial will review and summarize current analysis methods used in the field of invasive and non-invasive electrophysiology to study the dynamic connections between neuronal populations. First, we review metrics for functional connectivity, including coherence, phase synchronization, phase-slope index, and Granger causality, with the specific aim to provide an intuition for how these metrics work, as well as their quantitative definition. Next, we highlight a number of interpretational caveats and common pitfalls that can arise when performing functional connectivity analysis, including the common reference problem, the signal to noise ratio problem, the volume conduction problem, the common input problem, and the sample size bias problem. These pitfalls will be illustrated by presenting a set of MATLAB-scripts, which can be executed by the reader to simulate each of these potential problems. We discuss how these issues can be addressed using current methods.