替代性身体地图在人脑中架起视觉和触觉的桥梁，这一成果由明尼苏达大学Tomas Knapen小组经过不懈努力而取得。相关论文于2025年11月26日发表于国际顶尖学术期刊《自然》杂志上。

为了解决这个问题，研究小组开发了一个模型来同时映射整个大脑的体感身体部位调节和视野调节。将他们的模型应用于休息时正在进行的共同激活，得出了大脑内源性体位网络中身体部位调节的详细地图。在观看视频时，体位调节解释了整个背外侧视觉系统的反应，揭示了皮层表面的一系列体位体图。这些地图的身体位置调整与视觉调整一致，预测了对视野位置的偏好和对身体部位的视觉类别偏好。这些结果揭示了一种大脑组织模式，其中对齐的视觉-体感地形图将视觉和身体参照系连接起来。这种跨模态界面的理想位置是将原始感官印象转化为更抽象的形式，这些形式是行动、社会认知和语义处理的主题。

据了解，它们的感官系统协同工作，产生对周围世界的连贯体验。看着别人被触摸，大脑中代表自己触觉的区域就会被激活：视觉系统利用与触觉相关的计算来模拟视觉输入对身体的影响。一个长期存在的问题是，大脑是如何实现视觉和躯体感觉表征之间的这种接口的。

附：英文原文

Title: Vicarious body maps bridge vision and touch in the human brain

Author: Hedger, Nicholas, Naselaris, Thomas, Kay, Kendrick, Knapen, Tomas

Issue&Volume: 2025-11-26

Abstract: Our sensory systems work together to generate a cohesive experience of the world around us. Watching others being touched activates brain areas representing our own sense of touch: the visual system recruits touch-related computations to simulate bodily consequences of visual inputs1. One long-standing question is how the brain implements this interface between visual and somatosensory representations2. Here, to address this question, we developed a model to simultaneously map somatosensory body part tuning and visual field tuning throughout the brain. Applying our model to ongoing co-activations during rest resulted in detailed maps of body-part tuning in the brain’s endogenous somatotopic network. During video watching, somatotopic tuning explains responses throughout the entire dorsolateral visual system, revealing an array of somatotopic body maps that tile the cortical surface. The body-position tuning of these maps aligns with visual tuning, predicting both preferences for visual field locations and visual-category preferences for body parts. These results reveal a mode of brain organization in which aligned visual–somatosensory topographic maps connect visual and bodily reference frames. This cross-modal interface is ideally situated to translate raw sensory impressions into more abstract formats that are useful for action, social cognition and semantic processing3.

DOI: 10.1038/s41586-025-09796-0

Source: https://www.nature.com/articles/s41586-025-09796-0