Ni Zhaobing, Li Ying, Zhao Yingge, Yang Shuo, Yin Ning
State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, P.R.China.
Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, P.R.China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2021 Oct 25;38(5):828-837. doi: 10.7507/1001-5515.202008042.
Analyzing the influence of mixed emotional factors on false memory through brain function network is helpful to further explore the nature of brain memory. In this study, Deese-Roediger-Mc-Dermott (DRM) paradigm electroencephalogram (EEG) experiment was designed with mixed emotional memory materials, and different kinds of music were used to induce positive, calm and negative emotions of three groups of subjects. For the obtained false memory EEG signals, standardized low resolution brain electromagnetic tomography algorithm (sLORETA) was applied in the source localization, and then the functional network of cerebral cortex was built and analyzed. The results show that the positive group has the most false memories [(83.3 ± 6.8)%], the prefrontal lobe and left temporal lobe are activated, and the degree of activation and the density of brain network are significantly larger than those of the calm group and the negative group. In the calm group, the posterior prefrontal lobe and temporal lobe are activated, and the collectivization degree and the information transmission rate of brain network are larger than those of the positive and negative groups. The negative group has the least false memories [(73.3 ± 2.2)%], and the prefrontal lobe and right temporal lobe are activated. The brain network is the sparsest in the negative group, the degree of centralization is significantly larger than that of the calm group, but the collectivization degree and the information transmission rate of brain network are smaller than the positive group. The results show that the brain is stimulated by positive emotions, so more brain resources are used to memorize and associate words, which increases false memory. The activity of the brain is inhibited by negative emotions, which hinders the brain's memory and association of words and reduces false memory.
通过脑功能网络分析混合情绪因素对错误记忆的影响，有助于进一步探究大脑记忆的本质。本研究采用混合情绪记忆材料设计了Deese-Roediger-McDermott（DRM）范式脑电图（EEG）实验，使用不同类型的音乐诱发三组被试的积极、平静和消极情绪。对于获得的错误记忆EEG信号，应用标准化低分辨率脑电磁断层扫描算法（sLORETA）进行源定位，然后构建并分析大脑皮层的功能网络。结果表明，积极组的错误记忆最多[（83.3±6.8）%]，前额叶和左颞叶被激活，激活程度和脑网络密度显著大于平静组和消极组。平静组中，前额叶后部和颞叶被激活，脑网络的集体化程度和信息传输率大于积极组和消极组。消极组的错误记忆最少[（73.3±2.2）%]，前额叶和右颞叶被激活。消极组的脑网络最稀疏，中心化程度显著大于平静组，但脑网络的集体化程度和信息传输率小于积极组。结果表明，大脑受到积极情绪的刺激，因此更多的脑资源用于记忆和联想单词，从而增加了错误记忆。消极情绪抑制大脑活动，阻碍大脑对单词的记忆和联想，减少了错误记忆。
