Systems Neuroscience, Neurotechnology Unit, Neurocenter of the Saarland University Hospital, Homburg/Saar, Germany.
Brain Res Bull. 2011 Aug 10;86(1-2):110-7. doi: 10.1016/j.brainresbull.2011.06.012. Epub 2011 Jul 2.
Large-scale neural correlates of auditory selective attention reflected in the electroencephalogram (EEG) have been identified by using the complex wavelet-phase stability measure (WPS). In this paper, we study the feasibility of using this amplitude independent measure, the WPS in extracting the correlates of attention by comparing its performance to the widely used linear interdependency measures, i.e., the wavelet coherence and the correlation coefficient. The outcome reveals that the WPS outperforms the other two measures in discriminating both the attended and unattended single sweep auditory late responses (ALRs). It is concluded that the proposed WPS provides a faster (in terms of less sweeps which are required) and robust objective quantification of selective attention.
利用复小波相位稳定性测度（WPS）在脑电图（EEG）中确定了听觉选择性注意的大规模神经相关性。在本文中，我们通过将其性能与广泛使用的线性相关性测度（即小波相干性和相关系数）进行比较，研究了使用这种与振幅无关的测度 WPS 来提取注意力相关性的可行性。结果表明，WPS 在区分被注意和未被注意的单个听觉晚期反应（ALR）方面优于其他两种测度。结论是，所提出的 WPS 提供了一种更快（需要的扫描次数更少）和更稳健的选择性注意力客观量化方法。
