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模型自由 fMRI 反向投影揭示的群体感受野轮廓的空间延伸。

Spatial elongation of population receptive field profiles revealed by model-free fMRI back-projection.

机构信息

Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.

Department of Behavioral Neurology, Leibniz Institute for Neurobiology, Magdeburg, Germany.

出版信息

Hum Brain Mapp. 2018 Jun;39(6):2472-2481. doi: 10.1002/hbm.24015. Epub 2018 Feb 20.

Abstract

Estimates of visual field topographies in human visual cortex obtained through fMRI traveling wave techniques usually provide the parameters of population receptive field (pRF) location (polar angle, eccentricity) and receptive field size. These parameters are obtained by fitting the recorded data to a standard model population receptive field. In this work, pRF profiles are measured directly by back-projecting preprocessed fMRI time-series to sweeps of a bar across the visual field in different angles. The current data suggest that the model-free pRF profiles contain information not only about receptive field location and size but also about the pRF shape characteristics. The elongation (ellipticity) of pRFs decreases along the early visual hierarchy to a different degree for the ventral and the dorsal stream. Furthermore, ellipticity changes as a function of eccentricity. pRF orientation shows a high degree of collinearity with its angular position within the visual field. Using model-free pRF measurements, the traveling wave technique provides additional characteristics of pRF topographies that are not restricted to size and provide robust measures within the single subject.

摘要

通过 fMRI 行波技术获得的人类视觉皮层视野地形图的估计通常提供了群体感受野 (pRF) 位置(极角、离心率)和感受野大小的参数。这些参数是通过将记录的数据拟合到标准的模型群体感受野来获得的。在这项工作中,pRF 分布是通过将预处理的 fMRI 时间序列反向投影到不同角度的条形扫视中直接测量的。目前的数据表明,无模型的 pRF 分布不仅包含了感受野位置和大小的信息,还包含了 pRF 形状特征的信息。pRF 的伸长率(椭圆度)沿着早期视觉层次结构以不同的程度减小,对于腹侧和背侧流。此外,椭圆度随离心率而变化。pRF 的方向与其在视野中的角度位置高度共线。使用无模型的 pRF 测量,行波技术提供了 pRF 拓扑的额外特征,这些特征不仅限于大小,并在单个被试内提供了稳健的测量。

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本文引用的文献

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Intersession reliability of population receptive field estimates.群体感受野估计的学期间可靠性。
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Computational neuroimaging and population receptive fields.计算神经成像与群体感受野
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