腹侧和背侧联想皮层的内容映射:可操作对象信息的地形组织。

IF 4.5 2区 医学 Q1 NEUROIMAGING
J Almeida, S Kristensen, Z Tal, A Fracasso
{"title":"腹侧和背侧联想皮层的内容映射:可操作对象信息的地形组织。","authors":"J Almeida, S Kristensen, Z Tal, A Fracasso","doi":"10.1016/j.neuroimage.2025.121514","DOIUrl":null,"url":null,"abstract":"<p><p>Understanding how object information is neurally organized is fundamental to unravel object recognition. The best-known neural organizational principle of information is topographical mapping of specific dimensions. Such maps have been shown for sensorimotor information within sensorimotor cortices (e.g., retinotopy). Here we ask whether there are topographic maps - by analogy, contentopic maps - for mid-level object-related dimensions. We used functional magnetic resonance imaging and population receptive field analysis to measure tuning of neural populations to selected manipulable object-related action-based dimensions. We show maps in dorsal and ventral occipital cortex that code for the score of each object on each target dimension in a linear progression following a particular direction along the cortical surface. Maps for each dimension are distinct, are consistent across individuals, and are not exhausted by participant-specific eccentricity maps, nor by high-definition eccentricity maps derived from available databases. Thus, object information is potentially also coded in multiple topographical maps - i.e., contentopic maps. These contentopic maps refer to intermediate level visual and visuomotor representations, potentially computed from the interaction of lower-level visual features through non-linear transformation following gestalt principles. This suggests that topography is a widespread and non-incidental strategy for the organization of information in the brain that leads to greatly reduced connectivity-related metabolic costs and fast and efficient readouts of information for stimuli discrimination.</p>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":" ","pages":"121514"},"PeriodicalIF":4.5000,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Contentopic mapping in ventral and dorsal association cortex: the topographical organization of manipulable object information.\",\"authors\":\"J Almeida, S Kristensen, Z Tal, A Fracasso\",\"doi\":\"10.1016/j.neuroimage.2025.121514\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Understanding how object information is neurally organized is fundamental to unravel object recognition. The best-known neural organizational principle of information is topographical mapping of specific dimensions. Such maps have been shown for sensorimotor information within sensorimotor cortices (e.g., retinotopy). Here we ask whether there are topographic maps - by analogy, contentopic maps - for mid-level object-related dimensions. We used functional magnetic resonance imaging and population receptive field analysis to measure tuning of neural populations to selected manipulable object-related action-based dimensions. We show maps in dorsal and ventral occipital cortex that code for the score of each object on each target dimension in a linear progression following a particular direction along the cortical surface. Maps for each dimension are distinct, are consistent across individuals, and are not exhausted by participant-specific eccentricity maps, nor by high-definition eccentricity maps derived from available databases. Thus, object information is potentially also coded in multiple topographical maps - i.e., contentopic maps. These contentopic maps refer to intermediate level visual and visuomotor representations, potentially computed from the interaction of lower-level visual features through non-linear transformation following gestalt principles. This suggests that topography is a widespread and non-incidental strategy for the organization of information in the brain that leads to greatly reduced connectivity-related metabolic costs and fast and efficient readouts of information for stimuli discrimination.</p>\",\"PeriodicalId\":19299,\"journal\":{\"name\":\"NeuroImage\",\"volume\":\" \",\"pages\":\"121514\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NeuroImage\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.neuroimage.2025.121514\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NEUROIMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NeuroImage","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.neuroimage.2025.121514","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROIMAGING","Score":null,"Total":0}
引用次数: 0

摘要

了解物体信息是如何神经组织的是解开物体识别的基础。最有名的信息神经组织原理是特定维度的地形映射。在感觉运动皮质内的感觉运动信息中已经显示了这样的图谱(例如,视网膜切除)。在这里,我们问是否有地形图——通过类比,内容主题图——用于中级对象相关维度。我们使用功能性磁共振成像和群体接受场分析来测量神经群体对选择的可操作对象相关的基于动作的维度的调整。我们展示了枕叶皮层背侧和腹侧的地图,这些地图沿着皮层表面的特定方向,以线性级数为每个目标维度上每个物体的分数编码。每个维度的地图都是不同的,在个体之间是一致的,并且不会被参与者特定的怪癖地图所耗尽,也不会被来自可用数据库的高清怪癖地图所耗尽。因此,对象信息也可能编码在多个地形图中——即内容图。这些内容主题映射涉及中级视觉和视觉运动表征,可能是通过遵循格式塔原则的非线性转换从低级视觉特征的相互作用中计算出来的。这表明,地形是大脑信息组织的一种广泛而非偶然的策略,它大大降低了连接相关的代谢成本,并快速有效地读取刺激识别的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contentopic mapping in ventral and dorsal association cortex: the topographical organization of manipulable object information.

Understanding how object information is neurally organized is fundamental to unravel object recognition. The best-known neural organizational principle of information is topographical mapping of specific dimensions. Such maps have been shown for sensorimotor information within sensorimotor cortices (e.g., retinotopy). Here we ask whether there are topographic maps - by analogy, contentopic maps - for mid-level object-related dimensions. We used functional magnetic resonance imaging and population receptive field analysis to measure tuning of neural populations to selected manipulable object-related action-based dimensions. We show maps in dorsal and ventral occipital cortex that code for the score of each object on each target dimension in a linear progression following a particular direction along the cortical surface. Maps for each dimension are distinct, are consistent across individuals, and are not exhausted by participant-specific eccentricity maps, nor by high-definition eccentricity maps derived from available databases. Thus, object information is potentially also coded in multiple topographical maps - i.e., contentopic maps. These contentopic maps refer to intermediate level visual and visuomotor representations, potentially computed from the interaction of lower-level visual features through non-linear transformation following gestalt principles. This suggests that topography is a widespread and non-incidental strategy for the organization of information in the brain that leads to greatly reduced connectivity-related metabolic costs and fast and efficient readouts of information for stimuli discrimination.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信