Eeg Studies Of Music Perception Speed

Electroencephalogram (EEG) contains abundant information related to brain activity. In the early of 20th century, music, as a meaningful media to convey information and emotion, gradually became an attractive research point and absorbs the attentions of many scholars. Tempo is a important factor which influences musical emotional expression, and thus it turned into a fundamental part in brain mechanism exploration. In this work, we designed an experiment of musical tempo perception to get EEG data and mainly focused on the linear and nonlinear data analysis through different methods. The main contents are as follows:1. The EEG alpha (α) power of the four different tempo conditions were analyzed. The results showed that: The alpha power was closely related to musical tempo; as to the average EEG alpha (α) power of all brain areas, the trend: original tempo> middle bias tempo>ultimate bias tempo, especially, in the frontal area and left-hemisphere area.2. The EEG Approximate entropies of the four different tempo conditions were analyzed and were divided into two groups: original tempo and transformed tempo. The results showed that: in the frontal area and Parietal-Occipital area, the trend: original tempo< transformed tempo.3. The brain functional network established from the EEG data, was calculated its statistical feature parameters: Clustering coefficient and Information entropy. The results showed that: as to the whole brain network, the trend of these two feature parameters: original tempo> middle bias tempo>ultimate bias tempo. It can be seen, in the condition of listening to original music, the Clustering coefficient and Information entropy of corresponding brain functional network is most, which means the cerebra gained the most information.