Some considerations on estimating event-related brain signals.

S Krieger, J Timmer, S Lis, H M Olbrich
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引用次数: 12

Abstract

Understanding the timing of mental acts is one of the prominent questions in information processing research. The analysis of event related potentials (ERP) with their high temporal resolution might make access to cognition related brain activity possible. We consider three major problems which make the application of ERPs questionable and then propose some solutions to these problems. The primary problem concerns the separation of the ERPs from the background EEG which is not related to the stimulus. The most common method used is averaging. We argue that this is not the most appropriate method and suggest an alternative for estimating the signal in single-trial recordings. Artifacts present a second problem. We will first review established methods of dealing with eye-movement artifacts and then propose an alternative. We will also report on current work on the parametrisation of single-trial signal estimates, which constitute the third problem considered.

关于事件相关脑信号估计的一些考虑。
理解心理行为的时间是信息加工研究中的一个突出问题。具有高时间分辨率的事件相关电位(ERP)的分析可能使认知相关脑活动的获取成为可能。本文分析了影响erp应用的三个主要问题,并提出了解决这些问题的方法。主要的问题是如何从与刺激无关的背景脑电图中分离出erp。最常用的方法是取平均值。我们认为这不是最合适的方法,并建议在单次试验记录中估计信号的替代方法。工件带来了第二个问题。我们将首先回顾处理眼动伪影的既定方法,然后提出一种替代方法。我们还将报告单次试验信号估计的参数化的当前工作,这构成了所考虑的第三个问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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