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一种具有物种特异性的动态人体感知的大规模脑网络。

A large-scale brain network of species-specific dynamic human body perception.

机构信息

Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht 6200 MD, the Netherlands.

Laboratory for Neuro, and Psychophysiology, Department of Neurosciences, KU Leuven Medical School, Leuven 3000, Belgium; Leuven Brain Institute, KU Leuven, Leuven 3000, Belgium.

出版信息

Prog Neurobiol. 2023 Feb;221:102398. doi: 10.1016/j.pneurobio.2022.102398. Epub 2022 Dec 21.

DOI:10.1016/j.pneurobio.2022.102398
PMID:36565985
Abstract

This ultrahigh field 7 T fMRI study addressed the question of whether there exists a core network of brain areas at the service of different aspects of body perception. Participants viewed naturalistic videos of monkey and human faces, bodies, and objects along with mosaic-scrambled videos for control of low-level features. Independent component analysis (ICA) based network analysis was conducted to find body and species modulations at both the voxel and the network levels. Among the body areas, the highest species selectivity was found in the middle frontal gyrus and amygdala. Two large-scale networks were highly selective to bodies, dominated by the lateral occipital cortex and right superior temporal sulcus (STS) respectively. The right STS network showed high species selectivity, and its significant human body-induced node connectivity was focused around the extrastriate body area (EBA), STS, temporoparietal junction (TPJ), premotor cortex, and inferior frontal gyrus (IFG). The human body-specific network discovered here may serve as a brain-wide internal model of the human body serving as an entry point for a variety of processes relying on body descriptions as part of their more specific categorization, action, or expression recognition functions.

摘要

这项超高场 7T fMRI 研究旨在探讨是否存在一个大脑区域的核心网络,为身体感知的不同方面提供服务。参与者观看了猴子和人脸、身体和物体的自然视频,以及用于控制低水平特征的马赛克乱序视频。基于独立成分分析(ICA)的网络分析用于在体素和网络水平上寻找身体和物种的调制。在身体区域中,中间额回和杏仁核的物种选择性最高。两个大型网络对身体高度选择性,分别由外侧枕叶皮层和右侧颞上沟(STS)主导。右侧 STS 网络具有很高的物种选择性,其显著的人体诱导节点连接集中在枕外身体区域(EBA)、STS、颞顶联合(TPJ)、运动前皮质和下额回(IFG)周围。这里发现的人类身体特定网络可能作为人类身体的大脑广泛内部模型,作为各种过程的入口,这些过程依赖于身体描述作为其更具体分类、动作或表情识别功能的一部分。

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