Laboratory for Biological Psychology, Clinical Psychology, and Psychotherapy, Albert-Ludwigs-University of Freiburg, Freiburg, Germany.
Freiburg Brain Imaging Center, University Medical Center, Albert-Ludwigs-University of Freiburg, Freiburg, Germany.
Brain Topogr. 2024 Jul;37(4):479-495. doi: 10.1007/s10548-023-00987-4. Epub 2023 Jul 31.
Social interactions require both the rapid processing of multifaceted socio-affective signals (e.g., eye gaze, facial expressions, gestures) and their integration with evaluations, social knowledge, and expectations. Researchers interested in understanding complex social cognition and behavior face a "black box" problem: What are the underlying mental processes rapidly occurring between perception and action and why are there such vast individual differences? In this review, we promote electroencephalography (EEG) microstates as a powerful tool for both examining socio-affective states (e.g., processing whether someone is in need in a given situation) and identifying the sources of heterogeneity in socio-affective traits (e.g., general willingness to help others). EEG microstates are identified by analyzing scalp field maps (i.e., the distribution of the electrical field on the scalp) over time. This data-driven, reference-independent approach allows for identifying, timing, sequencing, and quantifying the activation of large-scale brain networks relevant to our socio-affective mind. In light of these benefits, EEG microstates should become an indispensable part of the methodological toolkit of laboratories working in the field of social and affective neuroscience.
社会互动既需要快速处理多方面的社会情感信号(例如,目光接触、面部表情、手势),又需要将这些信号与评估、社会知识和期望进行整合。那些对理解复杂社会认知和行为感兴趣的研究人员面临着一个“黑箱”问题:在感知和行动之间迅速发生的潜在心理过程是什么,为什么会存在如此巨大的个体差异?在这篇综述中,我们提倡脑电图(EEG)微状态作为一种强大的工具,既可以检查社会情感状态(例如,判断某人在特定情况下是否需要帮助),也可以识别社会情感特征的异质性来源(例如,一般帮助他人的意愿)。通过分析头皮场图(即头皮上电场的分布)随时间的变化来识别 EEG 微状态。这种数据驱动、无参考的方法可以识别、定时、排序和量化与我们的社会情感思维相关的大规模脑网络的激活。鉴于这些好处,EEG 微状态应该成为从事社会和情感神经科学领域的实验室的不可或缺的方法工具箱的一部分。