Dissociable neural networks for processing fearful bodily expressions at different spatial frequencies.

IF 2.9 2区 医学 Q2 NEUROSCIENCES
Maria-Chiara Villa, Alessio Borriero, Matteo Diano, Tommaso Ciorli, Alessia Celeghin, Beatrice de Gelder, Marco Tamietto
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引用次数: 0

Abstract

The human brain processes visual input across various spatial frequency (SF) ranges to extract emotional cues. Prior studies have extensively explored SF processing in facial expressions, yielding partly conflicting results. However, bodily expressions, which provide complementary emotional and survival-relevant cues, remain unexplored. We investigated the neural mechanisms underlying the processing of low (LSF), high (HSF), and broad spatial frequency (BSF) components in fearful versus neutral bodily postures. Using functional Magnetic Resonance Imaging, we examined brain activity in 20 participants viewing SF-filtered images of bodily expressions in a semi-passive task. A multivariate "searchlight" analysis based on Multi-Voxel Pattern Analysis was employed to decode the non-linear activation patterns associated with each SF band. Our findings reveal that SF processing engages distinct neural networks in response to fearful bodily expressions. BSF stimuli activated a widespread network, including the amygdala, pulvinar, frontal, and temporal cortices. These findings suggest a general threat-detection system integrating information across all SFs. HSF stimuli engaged cortical regions associated with detailed emotional evaluation and motor planning, such as the orbitofrontal cortex, anterior cingulate cortex, and premotor areas, suggesting that processing fine-grained fear cues involves computationally demanding networks related to emotional resonance and action preparation. In contrast, LSF stimuli primarily activated motor-preparatory regions linked to rapid, action-oriented responses, highlighting the brain prioritization of quick readiness to low-detail threats. Notably, the amygdala showed no SF selectivity, supporting its role as a generalized "relevance detector" in emotional processing. The present study demonstrates that the brain flexibly adapts its SF processing strategy based on the visual details available in fearful bodily expressions, underscoring the complexity and adaptability of emotional processing from bodily signals.

处理不同空间频率的恐惧身体表情的可分离神经网络。
人类大脑处理不同空间频率(SF)范围内的视觉输入,以提取情感线索。先前的研究广泛地探讨了面部表情中的SF加工,得出了部分相互矛盾的结果。然而,提供互补的情感和生存相关线索的身体表达仍未被探索。我们研究了恐惧和中性身体姿势下低(LSF)、高(HSF)和宽空间频率(BSF)成分加工的神经机制。使用功能性磁共振成像,我们检查了20名参与者在半被动任务中观看经过sf过滤的身体表情图像的大脑活动。采用基于多体素模式分析的多变量“探照灯”分析方法对各SF波段相关的非线性激活模式进行解码。我们的研究结果表明,SF处理涉及不同的神经网络,以应对恐惧的身体表达。BSF刺激激活了一个广泛的网络,包括杏仁核、枕核、额叶和颞叶皮层。这些发现表明,一个通用的威胁检测系统集成了所有sf的信息。HSF刺激涉及与详细情绪评估和运动计划相关的皮质区域,如眶额皮质、前扣带皮质和运动前区,表明处理细粒度恐惧线索涉及与情绪共鸣和行动准备相关的计算要求网络。相比之下,LSF刺激主要激活了与快速,行动导向反应相关的运动准备区域,突出了大脑对低细节威胁的快速准备的优先级。值得注意的是,杏仁核没有表现出SF选择性,这支持了它在情绪处理中作为广义“关联探测器”的作用。本研究表明,大脑根据恐惧的身体表情中可获得的视觉细节灵活地调整其SF加工策略,强调了身体信号情感加工的复杂性和适应性。
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来源期刊
Cerebral cortex
Cerebral cortex 医学-神经科学
CiteScore
6.30
自引率
8.10%
发文量
510
审稿时长
2 months
期刊介绍: Cerebral Cortex publishes papers on the development, organization, plasticity, and function of the cerebral cortex, including the hippocampus. Studies with clear relevance to the cerebral cortex, such as the thalamocortical relationship or cortico-subcortical interactions, are also included. The journal is multidisciplinary and covers the large variety of modern neurobiological and neuropsychological techniques, including anatomy, biochemistry, molecular neurobiology, electrophysiology, behavior, artificial intelligence, and theoretical modeling. In addition to research articles, special features such as brief reviews, book reviews, and commentaries are included.
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