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利用拓扑平滑和最优传输来表征视觉皮层放大率。

Characterizing visual cortical magnification with topological smoothing and optimal transportation.

作者信息

Xiong Yujian, Tu Yanshuai, Lu Zhong-Lin, Wang Yalin

机构信息

School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, United States of America.

Division of Arts and Sciences, New York University Shanghai, Shanghai, China.

出版信息

Proc SPIE Int Soc Opt Eng. 2023 Feb;12464. doi: 10.1117/12.2653656. Epub 2023 Apr 3.

Abstract

Human vision has different concentration on visual fields. Cortical magnification factor (CMF) is a popular measurement on visual acuity and cortex concentration. In order to achieve thorough measurement of CMF across the whole visual field, we propose a method to measure planar CMF upon retinotopic maps generated by pRF decoding, with help of our proposed methods: optimal transportation and topological smoothing. The optimal transportation re-calculates vertex location in retinotopic mapping, and topological smoothing guarantees topological conditions in retinotopic maps, which allow us to calculate planar CMF with the proposed 1-ring patch method. The pipeline was applied to the HCP 7T dataset, giving new planar results on CMF measurement across all 181 subjects, which illustrate novel concentration behavior on visual fields and their individual difference.

摘要

人类视觉在视野上有不同的注意力集中程度。皮质放大因子(CMF)是一种常用于测量视敏度和皮质注意力集中程度的指标。为了在整个视野范围内实现对CMF的全面测量,我们提出了一种方法,借助我们所提出的最优传输和拓扑平滑方法,在通过pRF解码生成的视网膜拓扑图上测量平面CMF。最优传输重新计算视网膜拓扑映射中的顶点位置,拓扑平滑确保视网膜拓扑图中的拓扑条件,这使我们能够使用所提出的单环补丁方法计算平面CMF。该流程应用于HCP 7T数据集,给出了181名受试者的CMF测量新平面结果,这些结果展示了视野上的新型注意力集中行为及其个体差异。

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