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PNAS Plus: Estimating average single-neuron visual receptive field sizes by fMRI

机译:PNAS Plus:通过fMRI估算平均单神经元视觉感受野大小

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摘要

The noninvasive estimation of neuronal receptive field (RF) properties in vivo allows a detailed understanding of brain organization as well as its plasticity by longitudinal following of potential changes. Visual RFs measured invasively by electrophysiology in animal models have traditionally provided a great extent of our current knowledge about the visual brain and its disorders. Voxel-based estimates of population RF (pRF) by functional magnetic resonance imaging (fMRI) in humans revolutionized the field and have been used extensively in numerous studies. However, current methods cannot estimate single-neuron RF sizes as they reflect large populations of neurons with individual RF scatter. Here, we introduce an approach to estimate RF size using spatial frequency selectivity to checkerboard patterns. This method allowed us to obtain noninvasive, average single-neuron RF estimates over a large portion of human early visual cortex. These estimates were significantly smaller compared with prior pRF methods. Furthermore, fMRI and electrophysiology experiments in nonhuman primates demonstrated an exceptionally good match, validating the approach.
机译:体内神经元感受野(RF)属性的非侵入性估计允许通过纵向跟踪潜在变化来详细了解大脑组织及其可塑性。传统上,通过电生理学在动物模型中进行侵入性测量的视觉RF可以提供我们目前有关视觉脑及其疾病的大量知识。通过基于功能体磁共振成像(fMRI)的基于体素的人群RF(pRF)估计,这一领域发生了革命性变化,已在许多研究中得到了广泛应用。但是,当前的方法无法估计单个神经元的RF大小,因为它们反映了具有单个RF散射的大量神经元。在这里,我们介绍一种使用空间频率对棋盘图案的选择性来估计RF大小的方法。这种方法使我们能够获得大部分人类早期视觉皮层的无创平均单神经元RF估计值。与先前的pRF方法相比,这些估计值要小得多。此外,在非人类灵长类动物中进行的fMRI和电生理实验表明,这种匹配非常出色,证明了这种方法的有效性。

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