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语言刺激对镜像神经系统激活情况的研究
引用本文:郭苗苗,齐志光,王磊,金铭,徐桂芝. 语言刺激对镜像神经系统激活情况的研究[J]. 北京理工大学学报, 2019, 39(S1): 181-185
作者姓名:郭苗苗  齐志光  王磊  金铭  徐桂芝
作者单位:省部共建电工装备可靠性与智能化国家重点实验室(河北工业大学), 天津 300130,省部共建电工装备可靠性与智能化国家重点实验室(河北工业大学), 天津 300130,省部共建电工装备可靠性与智能化国家重点实验室(河北工业大学), 天津 300130,省部共建电工装备可靠性与智能化国家重点实验室(河北工业大学), 天津 300130,省部共建电工装备可靠性与智能化国家重点实验室(河北工业大学), 天津 300130
基金项目:国家自然科学基金资助项目(51707053,51707054);河北省高等学校科学技术研究项目(QN2017048);河北省自然科学基金(F2017202197)
摘    要:镜像神经元在人类的动作理解,言语与语言,共情等方面都有深刻的影响,言语知觉的运动理论更是验证了镜像神经系统在人体中的重要作用.本文通过图片、音频、有声嘴部动作视频作为实验刺激,采集被试默读不同汉字时的脑电,进行预处理与时频分析,采用共空间模式生成脑电地形图,利用支持向量机得到3种刺激材料下不同状态的分类正确率.结果表明:随着刺激针对感官维度的加深,被试大脑运动皮层有明显激活,且激活范围更加集中明显,分类正确率也相应提升.音频刺激相对于图片刺激,两字的分类正确率总平均提高2.5%.视频刺激相对于图片刺激,两字的分类正确率总平均提高4.3%,为以后应用于临床脑损伤治疗做准备.

关 键 词:镜像神经元  刺激材料  默读  时频域分析
收稿时间:2018-10-20

Research on the Activation of Mirror Nervous System by Speech Stimulation
GUO Miao-miao,QI Zhi-guang,WANG Lei,JING Ming and XU Gui-zhi. Research on the Activation of Mirror Nervous System by Speech Stimulation[J]. Journal of Beijing Institute of Technology(Natural Science Edition), 2019, 39(S1): 181-185
Authors:GUO Miao-miao  QI Zhi-guang  WANG Lei  JING Ming  XU Gui-zhi
Affiliation:State Key Laboratory of Reliability and Intelligence of ElectricalEquipment, Hebei University of Technology, Tianjin 300130, China,State Key Laboratory of Reliability and Intelligence of ElectricalEquipment, Hebei University of Technology, Tianjin 300130, China,State Key Laboratory of Reliability and Intelligence of ElectricalEquipment, Hebei University of Technology, Tianjin 300130, China,State Key Laboratory of Reliability and Intelligence of ElectricalEquipment, Hebei University of Technology, Tianjin 300130, China and State Key Laboratory of Reliability and Intelligence of ElectricalEquipment, Hebei University of Technology, Tianjin 300130, China
Abstract:Mirror neurons have profound influence on multiple aspects of human including action understanding, speech and language, empathy and so on. Motor theory of speech perception has verified the important role of mirror nervous system in human body. Based on this, the electroencephalography (EEG) of the subjects was collected in the form of pictures, audios and voice mouth action videos when they read some different Chinese characters silently. The EEG topographic maps were generated by common spatial pattern (CSP), and the classification accuracy of different states of three stimuli was obtained by using support vector machine (SVM). The results showed that with the deepening of sensory stimulation in dimension, the motor cortices of the subjects were significantly activated, the activated area was more concentrated, and the classification accuracy was improved accordingly. The classification accuracy of two words of the audio and video stimuli increased by an average of 2.5% and 4.3% respectively compared that with image stimulus. This study will lay the groundwork for the clinical treatment of brain injury in the future.
Keywords:mirror neurons  stimulant material  silent reading  time-frequency domain analysis
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