Bonita J D, Ambolode L C C, Rosenberg B M, Cellucci C J, Watanabe T A A, Rapp P E, Albano A M
Department of Physics, Mindanao State University-Iligan Institute of Technology, 9200 Iligan City, Philippines.
Thomas Jefferson University College of Medicine, Philadelphia, PA USA.
Cogn Neurodyn. 2014 Feb;8(1):1-15. doi: 10.1007/s11571-013-9267-8. Epub 2013 Sep 4.
Correlations between ten-channel EEGs obtained from thirteen healthy adult participants were investigated. Signals were obtained in two behavioral states: eyes open no task and eyes closed no task. Four time domain measures were compared: Pearson product moment correlation, Spearman rank order correlation, Kendall rank order correlation and mutual information. The psychophysiological utility of each measure was assessed by determining its ability to discriminate between conditions. The sensitivity to epoch length was assessed by repeating calculations with 1, 2, 3, …, 8 s epochs. The robustness to noise was assessed by performing calculations with noise corrupted versions of the original signals (SNRs of 0, 5 and 10 dB). Three results were obtained in these calculations. First, mutual information effectively discriminated between states with less data. Pearson, Spearman and Kendall failed to discriminate between states with a 1 s epoch, while a statistically significant separation was obtained with mutual information. Second, at all epoch durations tested, the measure of between-state discrimination was greater for mutual information. Third, discrimination based on mutual information was more robust to noise. The limitations of this study are discussed. Further comparisons should be made with frequency domain measures, with measures constructed with embedded data and with the maximal information coefficient.
对13名健康成年参与者获得的十通道脑电图之间的相关性进行了研究。在两种行为状态下获取信号：睁眼无任务和闭眼无任务。比较了四种时域测量方法：皮尔逊积矩相关、斯皮尔曼等级相关、肯德尔等级相关和互信息。通过确定每种测量方法区分不同状态的能力来评估其心理生理效用。通过对1、2、3、…、8秒时长的时间段重复计算来评估对时间段长度的敏感性。通过对原始信号的噪声干扰版本（信噪比为0、5和10分贝）进行计算来评估对噪声的鲁棒性。在这些计算中得到了三个结果。首先，互信息能有效地在数据较少的状态之间进行区分。皮尔逊、斯皮尔曼和肯德尔方法在1秒时长的时间段内无法区分不同状态，而互信息能得到具有统计学意义的区分。其次，在所有测试的时间段持续时间内，互信息的状态间区分度更高。第三，基于互信息的区分对噪声更具鲁棒性。讨论了本研究的局限性。应进一步与频域测量方法、基于嵌入数据构建的测量方法以及最大信息系数进行比较。
