College of Biomedical Engineering, Rangsit Univerity, Pathumthani, Thailand; Department of Biomedical Engineering, University of Strathclyde, Glasgow, UK; Strathclyde Institute of Pharmacy and Biomedical Science, University of Strathclyde, Glasgow, UK.
J Neurosci Methods. 2019 Apr 15;318:78-83. doi: 10.1016/j.jneumeth.2019.01.018. Epub 2019 Jan 31.
This paper presents a method for isolating time-dependent event-related potential (ERP) components which are superimposed on the gross ERP waveform. The experimental data that inspired this approach was recorded from the auditory cortex of conscious laboratory mice in response to presentation of ten different duration pure-tone auditory stimuli.
The grand-average ERP for each individual stimulus displayed a relatively low amplitude deflection following stimulus offset. In order to isolate this component for analysis, a series of simple arithmetic operations were performed, involving averaging of multiple stimuli ERPs and subtracting this from each individual ERP.
Offset potentials were isolated and quantified. Peak latency was determined by auditory stimulus duration; peak amplitude did not reach the threshold for statistical significance, over the range of durations tested.
COMPARISON WITH EXISTING METHOD(S): To the best of my knowledge there are no alternative methods for isolating offset potentials from the gross ERP waveform at present. This novel approach may introduce less subjective bias to analyses than manually selecting measurement windows and performing custom baseline corrections.
A similar method may be applied to other human or non-human datasets to identify and characterize time-dependent sensory-cognitive processes obscured by gross waveform morphology.
本文提出了一种从叠加在总 ERP 波形上的时间相关事件相关电位（ERP）分量中分离出来的方法。激发这种方法的实验数据是从有意识的实验室小鼠的听觉皮层中记录的，以响应呈现十个不同持续时间的纯音听觉刺激。
每个单独刺激的总平均 ERP 在刺激后呈现出相对较低幅度的偏移。为了将此组件分离出来进行分析，进行了一系列简单的算术运算，涉及对多个刺激 ERP 的平均，并从每个单独的 ERP 中减去该平均值。
分离并量化了偏移电位。峰潜伏期由听觉刺激持续时间决定；在测试的持续时间范围内，峰幅度未达到统计显著性的阈值。
据我所知，目前尚无其他替代方法可以从总 ERP 波形中分离出偏移电位。与手动选择测量窗口和执行自定义基线校正相比，这种新方法可能会对分析引入更少的主观偏见。
类似的方法可以应用于其他人类或非人类数据集，以识别和描述由总波形形态掩盖的时间相关感觉认知过程。
