音乐增强大脑网络小世界特性

近年来实验发现音乐相比其他机械噪声对人脑感知系统更能增强大脑内部复杂网络特性.优美音乐在频谱上普遍具有1/f统计特征.在音乐增强脑电信号记录分析中,我们发现对比具有1/f特征的音乐信号,在仍保留1/f特征的随机乱乐刺激下,大部分脑皮层区域的脑功能网络连接密度普遍下降,并且增强的脑功能网络小世界特性在一定阈值范围内也会有显著下降.随机打乱的音乐虽然仍保留长程相关特征,但打乱后每分钟节拍数和节拍清晰度出现了明显降低.这两种音乐特性的降低与音乐打乱前后的大脑小世界网络统计指标的CMean/LMean降低有显著关联.说明音乐信号除了1/f长程相关统计特征之外的其他有效音乐信息在增强脑功能网络方面也起到重要作用.

Music Enhances Small World Characteristics of Human Brain Functional Network

In recent years,experiments have found that music compared with other mechanical noise on the human brain perception system can enhance a more complex network characteristics.Beautiful music generally have 1/f statistical characteristics in the spectrum.Here we designed experiment to compare the human brain EEG response to normal music (NM) (has 1/f property) and randomly shuffled music sequences (RSMS) (1/f property is kept).In the music-induced EEG signal analysis,we found that the brain network displays a degraded small-world network property and lower brain functional connectivity density to RSMS signal than to NM.RSMS signal although retains long-term correlations,but the beat rate per min and clarity of the pulsation decrease.The degeneration of the two music parameter is correlated with the small network property,suggesting that the additional music parameters may contain rich information which also plays an important role in enhancing the brain function network.