EEG frequency tagging evidence of social interaction recognition.
EEG frequency tagging evidence of social interaction recognition.
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DOI：
10.1093/scan/nsac032
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发表时间：
2022-11-02
影响因子：
4.2
通讯作者：
Wiersema, Jan R.
中科院分区：
文献类型：
--
作者：
Oomen, Danna;Cracco, Emiel;Brass, Marcel;Wiersema, Jan R.
先前的神经科学研究为第三方社交互动识别的神经处理提供了重要的见解。然而，不幸的是，他们使用的方法受到对噪声高度敏感性的限制。脑电图（EEG）频率标记是一种很有前途的技术，以克服这一限制，因为它是众所周知的高信噪比。到目前为止，EEG频率标记主要用于简单的刺激（例如面部），但需要更复杂的刺激来研究社交互动识别。因此，目前还不清楚这种技术是否可以用来研究第三方社交互动识别。为了解决这个问题，我们首先创建并验证了各种各样的刺激，描绘社会场景与社会互动，之后，我们使用这些刺激在EEG频率标记实验。正如假设的那样，我们发现与没有社交互动的社交场景相比，社交互动的社交场景增强了神经反应。这种效应出现在枕顶电极的侧面，并且在右半球最强。因此，我们发现，EEG频率标记可以测量从不同的上下文信息推断社会互动的过程。EEG频率标记对于需要高信噪比的人群（如婴儿、幼儿和临床人群）的研究特别有价值。
Previous neuroscience studies have provided important insights into the neural processing of third-party social interaction recognition. Unfortunately, however, the methods they used are limited by a high susceptibility to noise. Electroencephalogram (EEG) frequency tagging is a promising technique to overcome this limitation, as it is known for its high signal-to-noise ratio. So far, EEG frequency tagging has mainly been used with simplistic stimuli (e.g. faces), but more complex stimuli are needed to study social interaction recognition. It therefore remains unknown whether this technique could be exploited to study third-party social interaction recognition. To address this question, we first created and validated a wide variety of stimuli that depict social scenes with and without social interaction, after which we used these stimuli in an EEG frequency tagging experiment. As hypothesized, we found enhanced neural responses to social scenes with social interaction compared to social scenes without social interaction. This effect appeared laterally at occipitoparietal electrodes and strongest over the right hemisphere. Hence, we find that EEG frequency tagging can measure the process of inferring social interaction from varying contextual information. EEG frequency tagging is particularly valuable for research into populations that require a high signal-to-noise ratio like infants, young children and clinical populations.
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