Social brain responses to natural scene images of social interactions.

Ilona Martynenko, Kami Koldewyn, Paul E Downing
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引用次数: 0

Abstract

Recent research reveals that human occipito-temporal "social brain" regions that are selective for images of individual faces and bodies, are also sensitive to visual cues of social interaction. Earlier studies mainly contrasted observing dyadic interactions with non-interactive controls, emphasizing the interacting/non-interacting distinction to observers, and lacking the variety seen in natural settings. To address these limitations, we analyzed a 7 T fMRI data set in which participants viewed many naturalistic images while performing a memory task. We focused on 182 scenes containing at least two individuals, and used localisers to identify face- and body-selective regions of interest (ROIs). Brain responses to each image were measured, and the depiction of social interaction was rated by independent observers. Control measures were gathered, per image, for the number of people, their surface area and distribution, and their implied animatedness. Linear and generalised additive modelling revealed that social interaction predicted a greater BOLD response in all ROIs, beyond the effects of the control variables. Face- and body-selective regions in both hemispheres showed heightened sensitivity to social interaction in natural scenes, even during an orthogonal task. These findings expand our understanding of "social vision" areas beyond individual person perception to include multi-person social interactions.

社会大脑对社会互动的自然场景图像的反应。
最近的研究表明,人类的枕颞“社会脑”区域对个人面孔和身体的图像有选择性,对社会互动的视觉线索也很敏感。早期的研究主要将观察到的二元相互作用与非相互作用对照进行对比,强调了观察者的相互作用/非相互作用的区别,缺乏在自然环境中看到的多样性。为了解决这些限制,我们分析了一个7 T fMRI数据集,其中参与者在执行记忆任务时观看了许多自然图像。我们专注于182个至少包含两个个体的场景,并使用定位器来识别面部和身体选择兴趣区域(roi)。研究人员测量了大脑对每张图片的反应,并由独立观察者对社交互动的描述进行了评分。每张图像收集了控制措施,包括人的数量,他们的表面积和分布,以及他们隐含的活力。线性和广义加性模型显示,在所有roi中,社会互动预测了更大的BOLD响应,超出了控制变量的影响。两个半球的面部和身体选择区域对自然场景中的社会互动表现出更高的敏感性,即使在正交任务中也是如此。这些发现扩展了我们对“社会视野”领域的理解,超越了个人感知,包括多人社会互动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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