Mishra Sudhakar, Srinivasan Narayanan, Tiwary Uma Shanker
Indian Institute of Information Technology Allahabad, Prayagraj 211012, India.
Indian Institute of Technology Kanpur, Kanpur 208016, India.
Brain Sci. 2022 Aug 19;12(8):1106. doi: 10.3390/brainsci12081106.
While naturalistic stimuli, such as movies, better represent the complexity of the real world and are perhaps crucial to understanding the dynamics of emotion processing, there is limited research on emotions with naturalistic stimuli. There is a need to understand the temporal dynamics of emotion processing and their relationship to different dimensions of emotion experience. In addition, there is a need to understand the dynamics of functional connectivity underlying different emotional experiences that occur during or prior to such experiences. To address these questions, we recorded the EEG of participants and asked them to mark the temporal location of their emotional experience as they watched a video. We also obtained self-assessment ratings for emotional multimedia stimuli. We calculated dynamic functional the connectivity (DFC) patterns in all the frequency bands, including information about hubs in the network. The change in functional networks was quantified in terms of temporal variability, which was then used in regression analysis to evaluate whether temporal variability in DFC (tvDFC) could predict different dimensions of emotional experience. We observed that the connectivity patterns in the upper beta band could differentiate emotion categories better during or prior to the reported emotional experience. The temporal variability in functional connectivity dynamics is primarily related to emotional arousal followed by dominance. The hubs in the functional networks were found across the right frontal and bilateral parietal lobes, which have been reported to facilitate affect, interoception, action, and memory-related processing. Since our study was performed with naturalistic real-life resembling emotional videos, the study contributes significantly to understanding the dynamics of emotion processing. The results support constructivist theories of emotional experience and show that changes in dynamic functional connectivity can predict aspects of our emotional experience.
虽然自然主义刺激，如电影，能更好地体现现实世界的复杂性，可能对理解情绪处理的动态过程至关重要，但针对自然主义刺激下情绪的研究却很有限。有必要了解情绪处理的时间动态及其与情绪体验不同维度的关系。此外，还需要了解在这些体验期间或之前发生的不同情绪体验背后的功能连接动态。为了解决这些问题，我们记录了参与者的脑电图，并要求他们在观看视频时标记出自己情绪体验的时间位置。我们还获得了对情感多媒体刺激的自我评估评分。我们计算了所有频段的动态功能连接（DFC）模式，包括网络中枢的信息。功能网络的变化通过时间变异性进行量化，然后将其用于回归分析，以评估DFC中的时间变异性（tvDFC）是否能预测情绪体验的不同维度。我们观察到，在报告的情绪体验期间或之前，上β频段的连接模式能更好地区分情绪类别。功能连接动态的时间变异性主要与情绪唤醒相关，其次是优势度。在右侧额叶和双侧顶叶发现了功能网络中的中枢，据报道这些区域有助于情感、内感受、行动和记忆相关的处理。由于我们的研究是使用类似现实生活的自然主义情感视频进行的，该研究对理解情绪处理的动态过程有显著贡献。结果支持了情绪体验的建构主义理论，并表明动态功能连接的变化可以预测我们情绪体验的各个方面。
