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视皮层中的边界、地图簇和超区域组织。

Borders, map clusters, and supra-areal organization in visual cortex.

机构信息

Harvard University Department of Psychology, Center for Brain Science, Cambridge, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.

Department of Electrical and Computer Engineering, National University of Singapore, Singapore.

出版信息

Neuroimage. 2014 Jun;93 Pt 2(Pt 2):292-7. doi: 10.1016/j.neuroimage.2013.12.036. Epub 2013 Dec 27.

Abstract

V1 is a canonical cortical area with clearly delineated architectonic boundaries and a continuous topographic representation of the visual hemifield. It thus serves as a touchstone for understanding what new mapping methods can tell us about cortical organization. By parcellating human cortex using local gradients in functional connectivity, Wig et al. (2014--in this issue) detected the V1 border with V2. By contrast, previously-published clustering methods that focus on global similarity in connectivity reveal a supra-areal organization that emphasizes eccentricity bands spanning V1 and its neighboring extrastriate areas; i.e. in the latter analysis, the V1 border is not evident. Thus the focus on local connectivity gradients emphasizes qualitatively different features of cortical organization than are captured by global similarity measures. What is intriguing to consider is that each kind of information might be telling us something unique about cortical organization. Global similarity measures may be detecting map clusters and other supra-areal arrangements that reflect a fundamental level of organization.

摘要

V1 是一个规范的皮质区域,具有明确划定的结构边界和视觉半视野的连续地形代表。因此,它是理解新的映射方法可以告诉我们皮质组织的重要基准。通过使用功能连接的局部梯度对人类皮质进行分割,Wig 等人(2014 年-本期特刊)检测到 V1 与 V2 的边界。相比之下,之前发表的聚类方法专注于连接的全局相似性,揭示了一种强调跨越 V1 及其相邻的外纹状区的视距带的超区域组织;即在后一种分析中,V1 边界不明显。因此,关注局部连接梯度强调了皮质组织的不同特征,而不是全局相似性度量所捕获的特征。值得考虑的是,每种信息都可能告诉我们有关皮质组织的独特信息。全局相似性度量可能检测到反映基本组织水平的地图聚类和其他超区域排列。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61bf/8256656/83dfb68985c7/nihms552337f1.jpg

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