Wang Xue, Chen Yonghong, Ding Mingzhou
J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA.
Neuroimage. 2008 Jul 1;41(3):767-76. doi: 10.1016/j.neuroimage.2008.03.025. Epub 2008 Mar 26.
How the brain processes sensory input to produce goal-oriented behavior is not well-understood. Advanced data acquisition technology in conjunction with novel statistical methods holds the key to future progress in this area. Recent studies have applied Granger causality to multivariate population recordings such as local field potential (LFP) or electroencephalography (EEG) in event-related paradigms. The aim is to reveal the detailed time course of stimulus-elicited information transaction among various sensory and motor cortices. Presently, interdependency measures like coherence and Granger causality are calculated on ongoing brain activity obtained by removing the average event-related potential (AERP) from each trial. In this paper we point out the pitfalls of this approach in light of the inevitable occurrence of trial-to-trial variability of event-related potentials in both amplitudes and latencies. Numerical simulations and experimental examples are used to illustrate the ideas. Special emphasis is placed on the important role played by single trial analysis of event-related potentials in experimentally establishing the main conclusion.
大脑如何处理感觉输入以产生目标导向行为尚不清楚。先进的数据采集技术与新颖的统计方法相结合是该领域未来取得进展的关键。最近的研究已将格兰杰因果关系应用于事件相关范式中的多变量群体记录,如局部场电位(LFP)或脑电图(EEG)。目的是揭示各种感觉和运动皮层之间刺激引发的信息传递的详细时间进程。目前,诸如相干性和格兰杰因果关系等相互依存性测量是基于通过从每个试验中去除平均事件相关电位(AERP)而获得的持续脑活动来计算的。在本文中,鉴于事件相关电位在幅度和潜伏期方面试验间变异性的不可避免出现,我们指出了这种方法的缺陷。数值模拟和实验示例用于阐明这些观点。特别强调了事件相关电位的单次试验分析在实验性确立主要结论中所起的重要作用。