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首页> 美国卫生研究院文献>other >Introducing the Event Related Fixed Interval Area (ERFIA) Multilevel Technique: a Method to Analyze the Complete Epoch of Event-Related Potentials at Single Trial Level
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Introducing the Event Related Fixed Interval Area (ERFIA) Multilevel Technique: a Method to Analyze the Complete Epoch of Event-Related Potentials at Single Trial Level

机译：引入事件相关固定间隔区域（ERFIA）多级技术：一种在单次试验级分析事件相关电位完整历时的方法

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In analyzing time-locked event-related potentials (ERPs), many studies have focused on specific peaks and their differences between experimental conditions. In theory, each latency point after a stimulus contains potentially meaningful information, regardless of whether it is peak-related. Based on this assumption, we introduce a new concept which allows for flexible investigation of the whole epoch and does not primarily focus on peaks and their corresponding latencies. For each trial, the entire epoch is partitioned into event-related fixed-interval areas under the curve (ERFIAs). These ERFIAs, obtained at single trial level, act as dependent variables in a multilevel random regression analysis. The ERFIA multilevel method was tested in an existing ERP dataset of 85 healthy subjects, who underwent a rating paradigm of 150 painful and non-painful somatosensory electrical stimuli. We modeled the variability of each consecutive ERFIA with a set of predictor variables among which were stimulus intensity and stimulus number. Furthermore, we corrected for latency variations of the P2 (260 ms). With respect to known relationships between stimulus intensity, habituation, and pain-related somatosensory ERP, the ERFIA method generated highly comparable results to those of commonly used methods. Notably, effects on stimulus intensity and habituation were also observed in non-peak-related latency ranges. Further, cortical processing of actual stimulus intensity depended on the intensity of the previous stimulus, which may reflect pain-memory processing. In conclusion, the ERFIA multilevel method is a promising tool that can be used to study event-related cortical processing.
机译：在分析与事件相关的时间锁定电位（ERP）时，许多研究集中在特定峰及其在实验条件之间的差异。从理论上讲，刺激后的每个潜伏点都包含潜在的有意义的信息，无论其是否与峰值相关。基于此假设，我们引入了一个新概念，该概念可以灵活地研究整个时期，而不主要关注峰及其相应的延迟。对于每个试验，整个时期都划分为曲线下的事件相关固定间隔区域（ERFIAs）。这些在单次试验水平获得的ERFIA在多层次随机回归分析中充当因变量。在现有的85位健康受试者的ERP数据集中，对ERFIA多级方法进行了测试，他们接受了150种疼痛和非疼痛的躯体感觉电刺激的评估范例。我们用一组预测变量（包括刺激强度和刺激次数）对每个连续ERFIA的变异性进行建模。此外，我们校正了P2的延迟变化（260毫秒）。关于刺激强度，习惯和与疼痛相关的体感ERP之间的已知关系，ERFIA方法产生的结果与常用方法高度可比。值得注意的是，在非峰值相关潜伏范围内也观察到对刺激强度和习惯化的影响。此外，实际刺激强度的皮质处理取决于先前刺激的强度，这可能反映了疼痛记忆的处理。总之，ERFIA多级方法是一种有前途的工具，可用于研究与事件相关的皮层加工。

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