Department of Clinical Neurophysiology, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Sheffield, United Kingdom.
Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, United Kingdom.
Clin Neurophysiol. 2014 Jan;125(1):32-46. doi: 10.1016/j.clinph.2013.06.012. Epub 2013 Jul 11.
To introduce a new method of quantitative EEG analysis in the time domain, the error reduction ratio (ERR)-causality test. To compare performance against cross-correlation and coherence with phase measures.
A simulation example was used as a gold standard to assess the performance of ERR-causality, against cross-correlation and coherence. The methods were then applied to real EEG data.
Analysis of both simulated and real EEG data demonstrates that ERR-causality successfully detects dynamically evolving changes between two signals, with very high time resolution, dependent on the sampling rate of the data. Our method can properly detect both linear and non-linear effects, encountered during analysis of focal and generalised seizures.
We introduce a new quantitative EEG method of analysis. It detects real time levels of synchronisation in the linear and non-linear domains. It computes directionality of information flow with corresponding time lags.
This novel dynamic real time EEG signal analysis unveils hidden neural network interactions with a very high time resolution. These interactions cannot be adequately resolved by the traditional methods of coherence and cross-correlation, which provide limited results in the presence of non-linear effects and lack fidelity for changes appearing over small periods of time.
引入一种新的时域定量脑电图分析方法，即误差减少比（ERR）因果检验。并将其与相位测量的互相关和相干性进行比较。
使用模拟示例作为金标准，评估 ERR 因果检验与互相关和相干性的性能。然后将这些方法应用于真实的脑电图数据。
对模拟和真实脑电图数据的分析表明，ERR 因果检验能够以非常高的时间分辨率，根据数据的采样率，成功检测两个信号之间动态演化的变化。我们的方法可以正确检测到在分析局灶性和全身性癫痫时遇到的线性和非线性效应。
我们引入了一种新的定量脑电图分析方法。它可以检测线性和非线性域中的实时同步水平。它计算信息流的方向和相应的时间延迟。
这种新颖的动态实时脑电图信号分析方法以非常高的时间分辨率揭示了隐藏的神经网络相互作用。这些相互作用不能通过传统的相干性和互相关方法充分解决，因为这些方法在存在非线性效应时提供的结果有限，并且对于短时间内出现的变化缺乏保真度。
