标题： 超越生动性：诱导幻觉的内容分析揭示了视觉意象中个体差异的隐藏结构 显示英文标题

标题： Beyond vividness: Content analysis of induced hallucinations reveals the hidden structure of individual differences in visual imagery

摘要： 一种快速交替的红黑显示，称为Ganzflicker，会引发视觉幻觉，这些幻觉反映了视觉系统的生成能力。 关于意象谱的最新提议，即个体在无意象、典型意象和生动意象方面的视觉系统差异，表明这些差异应会影响其他内部生成的视觉体验的复杂性。 在这里，我们使用了自然语言处理工具来分析来自4000多名参与者的幻觉自由文本描述，询问不同意象表型的人在Ganzflicker诱发的幻觉中是否在心中看到不同的东西。 强意象者描述了复杂、自然的内容，而弱意象者则报告了简单的几何图案。 来自视觉语言模型的嵌入比仅文本的语言模型更好地捕捉了这些差异，而具有更强意象的参与者使用的语言具有更丰富的感官运动关联。 这些发现可能反映了早期视觉区域与与意象谱相关的高级区域之间协调的个体差异。 显示英文摘要

摘要： A rapidly alternating red and black display known as Ganzflicker induces visual hallucinations that reflect the generative capacity of the visual system. Recent proposals regarding the imagery spectrum, that is, differences in the visual system of individuals with absent imagery, typical imagery, and vivid imagery, suggest these differences should impact the complexity of other internally generated visual experiences. Here, we used tools from natural language processing to analyze free-text descriptions of hallucinations from over 4,000 participants, asking whether people with different imagery phenotypes see different things in their mind's eye during Ganzflicker-induced hallucinations. Strong imagers described complex, naturalistic content, while weak imagers reported simple geometric patterns. Embeddings from vision language models better captured these differences than text-only language models, and participants with stronger imagery used language with richer sensorimotor associations. These findings may reflect individual variation in coordination between early visual areas and higher-order regions relevant for the imagery spectrum.