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Underlying modulators of frontal global field potentials in emotion regulation: an EEG-informed fMRI study

机译:情绪调节中额叶全局场潜能的潜在调节剂:脑电信息化的功能磁共振成像研究

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Simultaneous EEG-fMRI has been applied across many functional brain studies to observe the spatiotemporal patterns of cortical activity that support complex cognitive tasks. Emotion regulation becomes a major topic of interest among these studies, with a particular focus of the late positive potential (LPP), which appears over parietal areas during emotion processing. While prefrontal areas have been linked to the LPP, the manner of their involvement remains poorly understood. In this study, EEG-informed fMRI was applied to investigate the cortical areas that modulate the frontal LPP during emotion regulation. Simultaneous EEG and fMRI data were collected during reappraisal-based emotion regulation, with EEG data analyzed from 400-600ms after task onset. Group Independent Component Analysis (ICA) was applied to denoise the EEG signal and extract common features across trials for all subjects and conditions. Extracted features were then used as regressors in general linear model (GLM)-based fMRI analysis. Results indicate that the septum pellucidum, right insula and right subcallosal gyrus are involved in the modulation of the LPP amplitude in prefrontal regions, as it is seen during reappraisal. Results align with previous emotion reappraisal studies and provide evidence for the use of IC-based EEG-informed fMRI in the study of emotional regulation.
机译:同时脑电图功能磁共振成像已被用于许多功能性脑研究,以观察支持复杂的认知任务的皮层活动的时空模式。在这些研究中,情绪调节已成为关注的主要话题,特别关注后期积极潜力(LPP),后者在情绪处理过程中出现在顶区。尽管前额叶区域与LPP相关联,但对其参与方式的了解仍然很少。在这项研究中,脑电信息功能磁共振成像用于调查情绪调节过程中调节额叶LPP的皮质区域。在基于重新评估的情绪调节过程中,同时收集了EEG和fMRI数据,并在任务开始后的400-600ms内对EEG数据进行了分析。应用组独立成分分析(ICA)来对脑电信号进行降噪,并在所有受试者和条件的整个试验中提取出共同特征。然后,将提取的特征用作基于常规线性模型(GLM)的fMRI分析的回归变量。结果表明,隔骨膜,右岛和右call体回都参与了额叶前额叶区域LPP振幅的调节,如在重新评估中所见。结果与先前的情绪重新评估研究一致,并为在情绪调节研究中使用基于IC的EEG信息功能性MRI提供了证据。

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