Suppr超能文献

食物在人类大脑中的时间变化。

The Time-Course of Food Representation in the Human Brain.

机构信息

School of Psychology, University of Sydney, Sydney, New South Wales 2050, Australia

School of Psychology, University of Sydney, Sydney, New South Wales 2050, Australia.

出版信息

J Neurosci. 2024 Jun 26;44(26):e1101232024. doi: 10.1523/JNEUROSCI.1101-23.2024.

Abstract

Humans make decisions about food every day. The visual system provides important information that forms a basis for these food decisions. Although previous research has focused on visual object and category representations in the brain, it is still unclear how visually presented food is encoded by the brain. Here, we investigate the time-course of food representations in the brain. We used time-resolved multivariate analyses of electroencephalography (EEG) data, obtained from human participants (both sexes), to determine which food features are represented in the brain and whether focused attention is needed for this. We recorded EEG while participants engaged in two different tasks. In one task, the stimuli were task relevant, whereas in the other task, the stimuli were not task relevant. Our findings indicate that the brain can differentiate between food and nonfood items from ∼112 ms after the stimulus onset. The neural signal at later latencies contained information about food naturalness, how much the food was transformed, as well as the perceived caloric content. This information was present regardless of the task. Information about whether food is immediately ready to eat, however, was only present when the food was task relevant and presented at a slow presentation rate. Furthermore, the recorded brain activity correlated with the behavioral responses in an odd-item-out task. The fast representation of these food features, along with the finding that this information is used to guide food categorization decision-making, suggests that these features are important dimensions along which the representation of foods is organized.

摘要

人类每天都会对食物做出决策。视觉系统提供了重要的信息,为这些食物决策提供了基础。尽管之前的研究集中在大脑中的视觉物体和类别表示上,但大脑如何对视觉呈现的食物进行编码仍不清楚。在这里,我们研究了大脑中食物表示的时间进程。我们使用时间分辨的多变量分析脑电图(EEG)数据,从人类参与者(男女)中获得,以确定大脑中哪些食物特征被表示,以及是否需要集中注意力。当参与者参与两个不同的任务时,我们记录了 EEG。在一个任务中,刺激是与任务相关的,而在另一个任务中,刺激与任务不相关。我们的发现表明,大脑可以在刺激出现后约 112 毫秒区分食物和非食物物品。在后期潜伏期的神经信号包含有关食物自然性、食物被转化的程度以及感知的卡路里含量的信息。无论任务如何,这些信息都存在。然而,关于食物是否可以立即食用的信息仅在食物与任务相关且以较慢的呈现速度呈现时才存在。此外,记录的大脑活动与在异类任务中的行为反应相关。这些食物特征的快速表示,以及发现这些信息用于指导食物分类决策,表明这些特征是组织食物表示的重要维度。

相似文献

1
The Time-Course of Food Representation in the Human Brain.食物在人类大脑中的时间变化。
J Neurosci. 2024 Jun 26;44(26):e1101232024. doi: 10.1523/JNEUROSCI.1101-23.2024.
2
Post-interval EEG activity is related to task-goals in temporal discrimination.间期后 EEG 活动与时间辨别任务目标相关。
PLoS One. 2021 Sep 27;16(9):e0257378. doi: 10.1371/journal.pone.0257378. eCollection 2021.
5
Selective Enhancement of Object Representations through Multisensory Integration.通过多感官整合选择性增强对象表示。
J Neurosci. 2020 Jul 15;40(29):5604-5615. doi: 10.1523/JNEUROSCI.2139-19.2020. Epub 2020 Jun 4.

本文引用的文献

1
Selectivity for food in human ventral visual cortex.人类腹侧视觉皮层对食物的选择性。
Commun Biol. 2023 Feb 15;6(1):175. doi: 10.1038/s42003-023-04546-2.
4
Luminance and Contrast of Images in the THINGS Database.THINGS 数据库中图像的亮度和对比度。
Perception. 2022 Apr;51(4):244-262. doi: 10.1177/03010066221083397. Epub 2022 Mar 16.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验