Domain Selectivity in the Parahippocampal Gyrus Is Predicted by the Same Structural Connectivity Patterns in Blind and Sighted Individuals
Domain Selectivity in the Parahippocampal Gyrus Is Predicted by the Same Structural Connectivity Patterns in Blind and Sighted Individuals
复制标题
海马旁回的域选择性是通过盲人和视力正常的人的相同结构连接模式来预测的
DOI：
10.1523/jneurosci.3622-16.2017
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发表时间：
2017-05
影响因子：
5.3
通讯作者：
Bi Yanchao
中科院分区：
文献类型：
--
作者：
Wang Xiaoying;He Chenxi;Peelen Marius V.;Zhong Suyu;Gong Gaolang;Caramazza Alfonso;Bi Yanchao
人类腹侧枕叶颞叶皮层包含一簇神经元，它们在视觉感知过程中表现出领域偏好反应。最近的研究报告说，这些集群中的一些显示出惊人的相似领域的选择性先天失明的参与者执行非视觉任务。一个重要的未决问题是，这些功能相似性是否是由盲人和视力正常的群体中相似的先天联系驱动的。在这里，我们解决了这个问题，集中在海马旁回（PHG），一个区域，是选择性的大对象和场景。基于长距离连接模式的形状本地计算的假设，我们研究了PHG中的域选择性是否由两个种群中相似的结构连接模式驱动。建立多元回归模型来预测两组中来自白色物质（WM）连接模式的大型人造物体的PHG体素的选择性。然后，使用来自具有相似视觉体验的参与者（两个有视力的组）的独立数据和来自具有不同视觉体验的参与者（盲人和有视力的组）的数据对这些模型进行测试。引人注目的是，盲人和视力正常的群体之间基于WM的预测与两个独立的视力正常群体之间的预测一样成功。也就是说，在一个盲人参与者的PHG体素的大对象的功能选择性可以准确地预测其WM模式使用的连接到功能模型建立从有视力的组数据，反之亦然。区域，显着预测PHG的选择性位于颞叶和额叶皮质在视力和盲人人群。这些结果表明，在PHG中驱动域选择性的大规模网络与视觉无关。最近的研究报告了有趣的相似领域的选择性在视觉和先天性失明的人在腹侧视觉皮层的区域。为了研究这些相似性是否源于类似的先天连接根，我们研究了是否可以预测的结构连接模式的其他在一个人口的域选择性。我们发现，盲人参与者对PHG体素大物体的选择性可以使用根据有视力的群体数据构建的连接到功能模型通过其结构连接模式来预测，反之亦然。这些结果表明，结构连接性的基础领域的选择性在PHG是独立的视觉经验，在这个地区的非视觉表征提供了证据。
Human ventral occipital temporal cortex contains clusters of neurons that show domain-preferring responses during visual perception. Recent studies have reported that some of these clusters show surprisingly similar domain selectivity in congenitally blind participants performing nonvisual tasks. An important open question is whether these functional similarities are driven by similar innate connections in blind and sighted groups. Here we addressed this question focusing on the parahippocampal gyrus (PHG), a region that is selective for large objects and scenes. Based on the assumption that patterns of long-range connectivity shape local computation, we examined whether domain selectivity in PHG is driven by similar structural connectivity patterns in the two populations. Multiple regression models were built to predict the selectivity of PHG voxels for large human-made objects from white matter (WM) connectivity patterns in both groups. These models were then tested using independent data from participants with similar visual experience (two sighted groups) and using data from participants with different visual experience (blind and sighted groups). Strikingly, the WM-based predictions between blind and sighted groups were as successful as predictions between two independent sighted groups. That is, the functional selectivity for large objects of a PHG voxel in a blind participant could be accurately predicted by its WM pattern using the connection-to-function model built from the sighted group data, and vice versa. Regions that significantly predicted PHG selectivity were located in temporal and frontal cortices in both sighted and blind populations. These results show that the large-scale network driving domain selectivity in PHG is independent of vision. SIGNIFICANCE STATEMENT Recent studies have reported intriguingly similar domain selectivity in sighted and congenitally blind individuals in regions within the ventral visual cortex. To examine whether these similarities originate from similar innate connectional roots, we investigated whether the domain selectivity in one population could be predicted by the structural connectivity pattern of the other. We found that the selectivity for large objects of a PHG voxel in a blind participant could be predicted by its structural connectivity pattern using the connection-to-function model built from the sighted group data, and vice versa. These results reveal that the structural connectivity underlying domain selectivity in the PHG is independent of visual experience, providing evidence for nonvisual representations in this region.
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影响因子：
19.9
作者：
Epstein, Russell A.
通讯作者：
Epstein, Russell A.
影响因子：
16.2
作者：
Kriegeskorte N;Mur M;Ruff DA;Kiani R;Bodurka J;Esteky H;Tanaka K;Bandettini PA
通讯作者：
Bandettini PA
影响因子：
9.2
作者：
E. Striem-Amit;A. Amedi
通讯作者：
E. Striem-Amit;A. Amedi
影响因子：
19.9
作者：
Mahon, Bradford Z.;Caramazza, Alfonso
通讯作者：
Caramazza, Alfonso
影响因子：
64.8
作者：
Epstein, R;Kanwisher, N
通讯作者：
Kanwisher, N