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作 者:Yin Tian Weiyi Ma Chunyang Tian Peng Xu Dezhong Yao
机构地区:[1]Bio-information College,Chongqing University of Posts and Telecommunications [2]Key Laboratory for NeuroInformation of the Ministry of Education,School of Life Science and Technology,University of Electronic Science and Technology of China
出 处:《Neuroscience Bulletin》2013年第6期731-736,共6页神经科学通报(英文版)
基 金:supported by the National Natural Science Foundation of China(31100745,31070881,and 61175117);the Program for Changjiang Scholars and Innovative Research Team in Universities of China,the Scientific Project of Bureau of Education,Chongqing Municipality,China(KJ110502);Chinese Ministry of Education Social Science Funding(11YJC880079);National Educational Research Key Project(GPA115005);Fundamental Research Funding for Central Universities,China(ZYGX2010J137)
摘 要:In the current study we used electroencephalography(EEG) to investigate the relation between musical tempo perception and the oscillatory activity in specific brain regions,and the scalp EEG networks in the theta,alpha,and beta bands.The results showed that the theta power at the frontal midline decreased with increased arousal level related to tempo.The alpha power induced by original music at the bilateral occipital-parietal regions was stronger than that by tempo-transformed music.The beta power did not change with tempo.At the network level,the original music-related alpha network had high global efficiency and the optimal path length.This study was the first to use EEG to investigate multi-oscillatory activities and the data support the tempo-specific timing hypothesis.In the current study we used electroencephalography(EEG) to investigate the relation between musical tempo perception and the oscillatory activity in specific brain regions,and the scalp EEG networks in the theta,alpha,and beta bands.The results showed that the theta power at the frontal midline decreased with increased arousal level related to tempo.The alpha power induced by original music at the bilateral occipital-parietal regions was stronger than that by tempo-transformed music.The beta power did not change with tempo.At the network level,the original music-related alpha network had high global efficiency and the optimal path length.This study was the first to use EEG to investigate multi-oscillatory activities and the data support the tempo-specific timing hypothesis.
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