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首页> 外文期刊>Autonomous Mental Development, IEEE Transactions on >Age Effect in Human Brain Responses to Emotion Arousing Images: The EEG 3D-Vector Field Tomography Modeling Approach
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Age Effect in Human Brain Responses to Emotion Arousing Images: The EEG 3D-Vector Field Tomography Modeling Approach

机译:人脑对情绪唤起图像反应的年龄效应:EEG 3D-矢量场层析成像建模方法

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摘要

Understanding of the brain responses to emotional stimulation remains a great challenge. Studies on the aging effect in neural activation report controversial results. In this paper, pictures of two classes of facial affect, i.e., anger and fear, were presented to young and elderly participants. High-density 256-channel EEG data were recorded and an innovative methodology was used to map the activated brain state at the N170 event-related potential component. The methodology, namely 3D Vector Field Tomography, reconstructs the electrostatic field within the head volume and requires no prior modeling of the individual’s brain. Results showed that the elderly exhibited greater N170 amplitudes, while age-based differences were also observed in the topographic distribution of the EEG recordings at the N170 component. The brain activation analysis was performed by adopting a set of regions of interest. Results on the maximum activation area appeared to be emotion-specific; the anger emotional conditions induced the maximum activation in the inferior frontal gyrus, while fear activated more the superior temporal gyrus. The approach used here shows the potential of the proposed computational model to reveal the age effect on the brain activation upon emotion arousing images, which could be further transferred to the design of assistive clinical applications.
机译:了解大脑对情绪刺激的反应仍然是一个巨大的挑战。关于神经激活的衰老效应的研究报告了有争议的结果。在本文中,向年轻人和老年人展示了两类面部情感的照片,即愤怒和恐惧。记录了高密度256通道脑电图数据,并采用了创新的方法来绘制N170事件相关电位组件上的激活大脑状态图。这种方法称为3D矢量场断层扫描,可以重建头部体积内的静电场,并且不需要事先对个人大脑进行建模。结果表明,老年人表现出更大的N170振幅,而在N170分量的脑电图记录的地形分布中也观察到了基于年龄的差异。通过采用一组感兴趣的区域进行大脑激活分析。在最大激活区域上的结果似乎是特定于情感的;愤怒的情绪条件诱导了额下回的最大激活,而恐惧则激活了颞上回的最大激活。此处使用的方法显示了所提出的计算模型的潜力,该模型可以揭示情绪激发图像对大脑激活的年龄影响,可以将其进一步转移到辅助临床应用的设计中。

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