Laboratory of Applied Physiology of Human Higher Nervous Activity, Institute of Higher Nervous Activity and Neurophysiology of RAS (IHNA&NPh RAS), 5A Butlerova street, 117485 Moscow, the Russian Federation.
Flow cytometry data processing group, BostonGene Technologies, Hrachya Qochar Str., 2A, 0033, Yerevan, Armenia.
Cereb Cortex. 2024 Apr 1;34(4). doi: 10.1093/cercor/bhae168.
Increasingly, in the field of communication, education, and business, people are switching to video interaction, and interlocutors frequently complain that the perception of nonverbal information and concentration suffer. We investigated this issue by analyzing electroencephalogram (EEG) oscillations of the sensorimotor (mu rhythm) and visual (alpha rhythm) cortex of the brain in an experiment with action observation live and on video. The mu rhythm reflects the activity of the mirror neuron system, and the occipital alpha rhythm shows the level of visual attention. We used 32-channel EEG recorded during live and video action observation in 83 healthy volunteers. The ICA method was used for selecting the mu- and alpha-components; the Fourier Transform was used to calculate the suppression index relative to the baseline (stationary demonstrator) of the rhythms. The main range of the mu rhythm was indeed sensitive to social movement and was highly dependent on the conditions of interaction-live or video. The upper mu-range appeared to be less sensitive to the conditions, but more sensitive to different movements. The alpha rhythm did not depend on the type of movement; however, a live performance initially caused a stronger concentration of visual attention. Thus, subtle social and nonverbal perceptions may suffer in remote video interactions.
在交流、教育和商业领域,人们越来越倾向于进行视频互动,交谈者经常抱怨说他们对非言语信息的感知和注意力集中程度受到了影响。为了研究这个问题,我们通过分析在一项带有实时动作观察和视频动作观察的实验中,大脑感觉运动(mu 节律)和视觉(alpha 节律)皮层的脑电(EEG)振荡。mu 节律反映了镜像神经元系统的活动,而枕部 alpha 节律显示了视觉注意力的水平。我们使用了 32 通道 EEG 在 83 名健康志愿者的实时和视频动作观察中进行记录。我们使用 ICA 方法选择 mu 和 alpha 成分;使用傅立叶变换计算相对于节律基线(静止示范者)的抑制指数。mu 节律的主要范围确实对社会运动敏感,并且高度依赖于实时或视频的交互条件。较高的 mu 范围似乎对条件的敏感性较低,但对不同的运动更敏感。alpha 节律不依赖于运动的类型;然而,实时表演最初会引起更强的视觉注意力集中。因此,在远程视频互动中,微妙的社会和非言语感知可能会受到影响。