• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

人类早期外纹状皮层视野图的可变性挑战了 V2 和 V3 组织的经典模型。

Variability of visual field maps in human early extrastriate cortex challenges the canonical model of organization of V2 and V3.

机构信息

School of Psychology, The University of Queensland, Brisbane, Australia.

Queensland Brain Institute, The University of Queensland, Brisbane, Australia.

出版信息

Elife. 2023 Aug 15;12:e86439. doi: 10.7554/eLife.86439.

DOI:10.7554/eLife.86439
PMID:37580963
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10427147/
Abstract

Visual field maps in human early extrastriate areas (V2 and V3) are traditionally thought to form mirror-image representations which surround the primary visual cortex (V1). According to this scheme, V2 and V3 form nearly symmetrical halves with respect to the calcarine sulcus, with the dorsal halves representing lower contralateral quadrants, and the ventral halves representing upper contralateral quadrants. This arrangement is considered to be consistent across individuals, and thus predictable with reasonable accuracy using templates. However, data that deviate from this expected pattern have been observed, but mainly treated as artifactual. Here, we systematically investigate individual variability in the visual field maps of human early visual cortex using the 7T Human Connectome Project (HCP) retinotopy dataset. Our results demonstrate substantial and principled inter-individual variability. Visual field representation in the dorsal portions of V2 and V3 was more variable than in their ventral counterparts, including substantial departures from the expected mirror-symmetrical patterns. In addition, left hemisphere retinotopic maps were more variable than those in the right hemisphere. Surprisingly, only one-third of individuals had maps that conformed to the expected pattern in the left hemisphere. Visual field sign analysis further revealed that in many individuals the area conventionally identified as dorsal V3 shows a discontinuity in the mirror-image representation of the retina, associated with a Y-shaped lower vertical representation. Our findings challenge the current view that inter-individual variability in early extrastriate cortex is negligible, and that the dorsal portions of V2 and V3 are roughly mirror images of their ventral counterparts.

摘要

人类早期外纹状区(V2 和 V3)的视野图传统上被认为形成了围绕初级视觉皮层(V1)的镜像代表。根据这个方案,V2 和 V3 相对于距状裂形成几乎对称的两半,背侧部分代表较低的对侧象限,腹侧部分代表较高的对侧象限。这种排列被认为在个体之间是一致的,因此可以使用模板以相当高的精度进行预测。然而,已经观察到偏离这种预期模式的数据,但主要被视为人为因素。在这里,我们使用 7T 人类连接组计划(HCP)视网膜图数据集系统地研究了人类早期视觉皮层视野图的个体变异性。我们的结果表明存在大量且有原则的个体间变异性。V2 和 V3 的背侧部分的视野代表比腹侧部分更具变异性,包括与预期镜像对称模式的实质性偏离。此外,左半球的视网膜图比右半球更具变异性。令人惊讶的是,只有三分之一的个体的左半球地图符合预期模式。视野符号分析进一步表明,在许多个体中,传统上被识别为背侧 V3 的区域在视网膜的镜像代表中表现出不连续性,与 Y 形的下垂直代表相关。我们的发现挑战了当前的观点,即早期外纹状皮层的个体间变异性可以忽略不计,并且 V2 和 V3 的背侧部分大致是腹侧对应部分的镜像。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/6c385694d79a/elife-86439-fig7-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/9b301bc019da/elife-86439-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/9fad53923a09/elife-86439-fig1-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/53a180ae94ab/elife-86439-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/b2b5b5c60811/elife-86439-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/feea55cafc0a/elife-86439-fig3-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/75fd64ab8985/elife-86439-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/6b524d80e12a/elife-86439-fig4-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/e01c74ed02be/elife-86439-fig4-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/ea44da80d549/elife-86439-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/dfdb06f7dde2/elife-86439-fig5-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/98b9f1656036/elife-86439-fig5-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/ff9efaec7317/elife-86439-fig5-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/f2f561153b6f/elife-86439-fig5-figsupp4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/ea9438562e62/elife-86439-fig5-figsupp5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/844bddeb3d4a/elife-86439-fig5-figsupp6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/edefd42c8e87/elife-86439-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/7de31bd55d99/elife-86439-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/6c385694d79a/elife-86439-fig7-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/9b301bc019da/elife-86439-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/9fad53923a09/elife-86439-fig1-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/53a180ae94ab/elife-86439-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/b2b5b5c60811/elife-86439-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/feea55cafc0a/elife-86439-fig3-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/75fd64ab8985/elife-86439-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/6b524d80e12a/elife-86439-fig4-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/e01c74ed02be/elife-86439-fig4-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/ea44da80d549/elife-86439-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/dfdb06f7dde2/elife-86439-fig5-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/98b9f1656036/elife-86439-fig5-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/ff9efaec7317/elife-86439-fig5-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/f2f561153b6f/elife-86439-fig5-figsupp4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/ea9438562e62/elife-86439-fig5-figsupp5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/844bddeb3d4a/elife-86439-fig5-figsupp6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/edefd42c8e87/elife-86439-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/7de31bd55d99/elife-86439-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21f8/10427147/6c385694d79a/elife-86439-fig7-figsupp1.jpg

相似文献

1
Variability of visual field maps in human early extrastriate cortex challenges the canonical model of organization of V2 and V3.人类早期外纹状皮层视野图的可变性挑战了 V2 和 V3 组织的经典模型。
Elife. 2023 Aug 15;12:e86439. doi: 10.7554/eLife.86439.
2
Second and third visual areas of the cat: interindividual variability in retinotopic arrangement and cortical location.猫的第二和第三视觉区域:视网膜拓扑排列和皮质位置的个体间变异性。
J Physiol. 1980 Feb;299:247-76. doi: 10.1113/jphysiol.1980.sp013123.
3
Variability of the Surface Area of the V1, V2, and V3 Maps in a Large Sample of Human Observers.大样本人类观察者 V1、V2 和 V3 区表面积的变异性。
J Neurosci. 2022 Nov 16;42(46):8629-8646. doi: 10.1523/JNEUROSCI.0690-21.2022. Epub 2022 Sep 30.
4
Retinotopic organization of extrastriate cortex in the owl monkey--dorsal and lateral areas.枭猴纹外皮层的视网膜拓扑组织——背侧和外侧区域
Vis Neurosci. 2015 Jan;32:E021. doi: 10.1017/S0952523815000206.
5
The retinotopic organization of primate dorsal V4 and surrounding areas: A functional magnetic resonance imaging study in awake monkeys.灵长类动物背侧V4区及周围区域的视网膜拓扑组织:对清醒猴子的功能磁共振成像研究
J Neurosci. 2003 Aug 13;23(19):7395-406. doi: 10.1523/JNEUROSCI.23-19-07395.2003.
6
Cross-dataset reproducibility of human retinotopic maps.跨数据集的人类视网膜地形图的可重复性。
Neuroimage. 2021 Dec 1;244:118609. doi: 10.1016/j.neuroimage.2021.118609. Epub 2021 Sep 25.
7
Retinotopic maps in human prestriate visual cortex: the demarcation of areas V2 and V3.人类纹前视觉皮层中的视网膜拓扑图:V2和V3区域的划分
Neuroimage. 1995 Jun;2(2):125-32. doi: 10.1006/nimg.1995.1015.
8
Two retinotopic visual areas in human lateral occipital cortex.人类枕叶外侧皮质中的两个视网膜拓扑视觉区域。
J Neurosci. 2006 Dec 20;26(51):13128-42. doi: 10.1523/JNEUROSCI.1657-06.2006.
9
Retinotopic organization of striate and extrastriate visual cortex in the mouse.小鼠纹状和纹外视觉皮层的视网膜拓扑组织
J Comp Neurol. 1980 Sep 1;193(1):187-202. doi: 10.1002/cne.901930113.
10
Cortical connections of visual area MT in the macaque.猕猴视觉区域MT的皮质连接
J Comp Neurol. 1986 Jun 8;248(2):190-222. doi: 10.1002/cne.902480204.

引用本文的文献

1
Human retinotopic mapping: From empirical to computational models of retinotopy.人类视网膜拓扑映射:从视网膜拓扑学的经验模型到计算模型。
J Vis. 2025 Jul 1;25(8):14. doi: 10.1167/jov.25.8.14.
2
Human V4 size predicts crowding distance.人类V4区的大小可预测拥挤距离。
Nat Commun. 2025 Apr 24;16(1):3876. doi: 10.1038/s41467-025-59101-w.
3
Principles of intensive human neuroimaging.强化人类神经影像学原理。

本文引用的文献

1
Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging.神经桌面:一个可访问、灵活和便携的数据分析环境,用于可重复的神经影像学研究。
Nat Methods. 2024 May;21(5):804-808. doi: 10.1038/s41592-023-02145-x. Epub 2024 Jan 8.
2
Retinotopic connectivity maps of human visual cortex with unconstrained eye movements.人眼自由运动的视皮层视网膜连接图。
Hum Brain Mapp. 2023 Nov;44(16):5221-5237. doi: 10.1002/hbm.26446. Epub 2023 Aug 9.
3
Non-Neural Factors Influencing BOLD Response Magnitudes within Individual Subjects.
Trends Neurosci. 2024 Nov;47(11):856-864. doi: 10.1016/j.tins.2024.09.011. Epub 2024 Oct 24.
4
Human V4 size predicts crowding distance.人类V4区的大小可预测拥挤距离。
bioRxiv. 2025 Feb 28:2024.04.03.587977. doi: 10.1101/2024.04.03.587977.
影响个体受试者内BOLD反应幅度的非神经因素。
J Neurosci. 2022 Sep 21;42(38):7256-7266. doi: 10.1523/JNEUROSCI.2532-21.2022.
4
Imaging of the pial arterial vasculature of the human brain in vivo using high-resolution 7T time-of-flight angiography.使用高分辨率 7T 时间飞跃血管造影术对人脑的脑膜动脉血管进行活体成像。
Elife. 2022 Apr 29;11:e71186. doi: 10.7554/eLife.71186.
5
A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence.一个用于连接认知神经科学与人工智能的大规模7T功能磁共振成像数据集。
Nat Neurosci. 2022 Jan;25(1):116-126. doi: 10.1038/s41593-021-00962-x. Epub 2021 Dec 16.
6
Beyond t test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research.超越 t 检验和 ANOVA:混合效应模型在神经科学研究中更严格的统计分析中的应用。
Neuron. 2022 Jan 5;110(1):21-35. doi: 10.1016/j.neuron.2021.10.030. Epub 2021 Nov 15.
7
A sinusoidal transformation of the visual field is the basis for periodic maps in area V2.视野的正弦变换是 V2 区周期性图的基础。
Neuron. 2021 Dec 15;109(24):4068-4079.e6. doi: 10.1016/j.neuron.2021.09.053. Epub 2021 Oct 22.
8
Predicting the retinotopic organization of human visual cortex from anatomy using geometric deep learning.使用几何深度学习从解剖结构预测人类视觉皮层的视网膜组织。
Neuroimage. 2021 Dec 1;244:118624. doi: 10.1016/j.neuroimage.2021.118624. Epub 2021 Oct 1.
9
A twisted visual field map in the primate dorsomedial cortex predicted by topographic continuity.通过地形连续性预测的灵长类动物背内侧皮质中扭曲的视野图。
Sci Adv. 2020 Oct 28;6(44). doi: 10.1126/sciadv.aaz8673. Print 2020 Oct.
10
Array programming with NumPy.使用 NumPy 进行数组编程。
Nature. 2020 Sep;585(7825):357-362. doi: 10.1038/s41586-020-2649-2. Epub 2020 Sep 16.