Category-selective representation of relationships in visual cortex

Etienne Abassi, L. Papeo
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Abstract

Understanding social interaction requires processing social agents and their relationship. Latest results show that much of this process is visually solved: visual areas can represent multiple people encoding emergent information about their interaction that is not explained by the response to the individuals alone. A neural signature of this process is an increased response in visual areas, to face-to-face (seemingly interacting) people, relative to people presented as unrelated (back-to-back). This effect highlighted a network of visual areas for representing relational information.How is this network organized?Using functional MRI, we measured brain activity of healthy female and male humans (N=42), in response to images of two faces or two (head-blurred) bodies, facing toward or away from each other. Taking thefacing>non-facingeffect as signature of relation perception, we found that relations between faces and between bodies were coded in distinct areas, mirroring the categorical representation of faces and bodies in visual cortex. Additional analyses suggest the existence of a third network encoding relations between (non-social) objects. Finally, a separate occipitotemporal network showed generalization of relational information across body, face and non-social object dyads (multivariate-pattern classification analysis), revealing shared properties of relations across categories. In sum, beyond single entities, visual cortex encodes the relations that bind multiple entities into relationships; it does so in a category-selective fashion, thus respecting a general organizing principle of representation in high-level vision. Visual areas encoding visual relational information can reveal the processing of emergent properties of social (and non-social) interaction which trigger inferential processes.Significance statementUnderstanding social interaction requires representing the actors as well as the relation between them. We show that the earliest, rudimentary representation of a social interaction is formed in visual cortex. Using fMRI on healthy adults, we measured the brain responses to two faces or two (head-blurred) bodies, and found that, beyond representing faces and bodies, the visual cortex represents their relations, distinguishing between seemingly interacting (face-to-face) and non-interacting (back-to-back) faces/bodies. Moreover, we found that information about face and body relations is represented in separate networks, in line with the general organizing principle of categorical representation in visual cortex. The brain network encoding visual relational information may represent emergent properties of interacting people, which underlie the cognitive representation of social interaction.
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视觉皮层中关系的类别选择性表征
理解社会互动需要处理社会行动者及其关系。最新的研究结果表明,这个过程在很大程度上是通过视觉解决的:视觉区域可以代表多个人,对他们之间的互动所产生的紧急信息进行编码,而这些信息是无法通过单独对个体的反应来解释的。这一过程的一个神经特征是,相对于不相关的人(背靠背),视觉区域对面对面(看似互动)的人的反应增加。这种效果突出了表示关系信息的视觉区域网络。这个网络是如何组织的?使用功能性核磁共振成像,我们测量了健康女性和男性(N=42)的大脑活动,以响应两张脸或两个(头部模糊)身体的图像,面对或远离对方。将面对>非面对效应作为关系感知的特征,我们发现面孔之间和身体之间的关系在不同的区域编码,反映了视觉皮层中面孔和身体的分类表征。进一步的分析表明,存在第三个编码(非社会)对象之间关系的网络。最后,一个单独的枕颞网络显示了跨身体、面部和非社会对象双组的关系信息的泛化(多变量模式分类分析),揭示了跨类别关系的共同属性。总而言之,除了单一实体,视觉皮层还编码将多个实体结合成关系的关系;它以一种类别选择的方式这样做,从而尊重高级视觉中表示的一般组织原则。编码视觉关系信息的视觉区域可以揭示触发推理过程的社会(和非社会)互动的涌现特性的处理。理解社会互动需要表现行为者以及他们之间的关系。我们发现,社会互动最早、最基本的表征是在视觉皮层中形成的。对健康成年人使用功能磁共振成像,我们测量了大脑对两张脸或两个(头部模糊)身体的反应,发现除了代表脸和身体之外,视觉皮层还代表它们之间的关系,区分表面上相互作用(面对面)和非相互作用(背对背)的脸/身体。此外,我们发现关于面部和身体关系的信息在不同的网络中被表征,这符合视觉皮层分类表征的一般组织原则。编码视觉关系信息的大脑网络可能代表了相互作用的人的紧急属性,这是社会相互作用的认知表征的基础。
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