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利用血氧水平依赖性功能磁共振成像视网膜拓扑映射最小化人类视觉区域重组估计中的偏差。

Minimizing biases in estimating the reorganization of human visual areas with BOLD retinotopic mapping.

作者信息

Binda Paola, Thomas Jessica M, Boynton Geoffrey M, Fine Ione

机构信息

Department of Psychology, University of Washington, Seattle, WA, USA.

出版信息

J Vis. 2013 Jun 20;13(7):13. doi: 10.1167/13.7.13.

Abstract

There is substantial interest in using functional magnetic resonance imaging (fMRI) retinotopic mapping techniques to examine reorganization of the occipital cortex after vision loss in humans and nonhuman primates. However, previous reports suggest that standard phase encoding and the more recent population Receptive Field (pRF) techniques give biased estimates of retinotopic maps near the boundaries of retinal or cortical scotomas. Here we examine the sources of this bias and show how it can be minimized with a simple modification of the pRF method. In normally sighted subjects, we measured fMRI responses to a stimulus simulating a foveal scotoma; we found that unbiased retinotopic map estimates can be obtained in early visual areas, as long as the pRF fitting algorithm takes the scotoma into account and a randomized "multifocal" stimulus sequence is used.

摘要

人们对使用功能磁共振成像(fMRI)视网膜拓扑映射技术来研究人类和非人类灵长类动物视力丧失后枕叶皮质的重组有着浓厚兴趣。然而,先前的报告表明,标准相位编码和更新的群体感受野(pRF)技术会对视网膜或皮质暗点边界附近的视网膜拓扑图给出有偏差的估计。在此,我们研究了这种偏差的来源,并展示了如何通过对pRF方法进行简单修改将其最小化。在视力正常的受试者中,我们测量了对模拟中央凹暗点的刺激的fMRI反应;我们发现,只要pRF拟合算法考虑到暗点并使用随机化的“多焦点”刺激序列,就可以在早期视觉区域获得无偏差的视网膜拓扑图估计。

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