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Computer data simulator to assess the accuracy of estimates of visual N2/N2pc event-related potential components.
Journal of Neural Engineering ( IF 4 ) Pub Date : 2020-06-21 , DOI: 10.1088/1741-2552/ab85d4
Francesca Marturano 1 , Sabrina Brigadoi , Mattia Doro , Roberto Dell'Acqua , Giovanni Sparacino
Affiliation  

Objective. Event-related potentials (ERPs) evoked by visual stimulations comprise several components, with different amplitudes and latencies. Among them, the N2 and N2pc components have been demonstrated to be a measure of subjects’ allocation of visual attention to possible targets and to be involved in the suppression of irrelevant items. Unfortunately, the N2 and N2pc components have smaller amplitudes compared with those of the background electroencephalogram (EEG), and their measurement requires employing techniques such as conventional averaging, which in turn necessitates several sweeps to provide acceptable estimates. In visual search studies, the number of sweeps ( Nswp ) used to extrapolate reliable estimates of N2/N2pc components has always been somehow arbitrary, with studies using 50–500 sweeps. In-silico studies relying on synthetic data providing a close-to-realistic fit to the variability of the visual N2 component and background EEG signals ...

中文翻译:

计算机数据模拟器,用于评估视觉N2 / N2pc事件相关的潜在分量的估计准确性。

目的。视觉刺激诱发的事件相关电位(ERP)包含具有不同幅度和潜伏期的几个成分。其中,N2和N2pc成分已被证明可衡量受试者将视觉注意力分配给可能的目标,并参与抑制无关项目。不幸的是,与背景脑电图(EEG)相比,N2和N2pc分量的幅度更小,并且它们的测量需要采用诸如常规平均之类的技术,而这些技术又需要进行多次扫描才能提供可接受的估计值。在视觉搜索研究中,用于推断N2 / N2pc分量的可靠​​估计值的扫描次数(Nswp)始终是任意的,使用50-500次扫描进行研究。
更新日期:2020-06-23
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