Li Xiaoli, Yao Xin, Fox John, Jefferys John G
Cercia, School of Computer Science, The University of Birmingham, Birmingham B15 2TT, UK.
J Neurosci Methods. 2007 Feb 15;160(1):178-85. doi: 10.1016/j.jneumeth.2006.08.006. Epub 2006 Sep 14.
This paper describes the use of a computational tool based on the Morlet wavelet transform to investigate the interaction dynamics between oscillations generated by two anatomically distinct neuronal populations. The tool uses cross wavelet transform, coherence, bi-spectrum/bi-coherence and phase synchronization. Using specimen data recorded from the hippocampus of a rat with experimentally induced focal epilepsy, linear and non-linear correlations between neuronal oscillations in the CA1 and CA3 regions have been computed. The results of this real case study show that the computational tool can successfully analyse and quantify the temporal interactions between neuronal oscillators and could be employed to investigate the mechanisms underlying epilepsy.
本文描述了一种基于Morlet小波变换的计算工具的使用，以研究两个解剖学上不同的神经元群体产生的振荡之间的相互作用动力学。该工具使用交叉小波变换、相干性、双谱/双相干性和相位同步。利用从实验性诱发局灶性癫痫大鼠海马体记录的样本数据，计算了CA1和CA3区域神经元振荡之间的线性和非线性相关性。这个实际案例研究的结果表明，该计算工具可以成功地分析和量化神经元振荡器之间的时间相互作用，并可用于研究癫痫的潜在机制。
