考虑眼位和瞳孔直径变化的基于内禀光信号成像的清醒小鼠脑视网膜定位图估计

Q4 Engineering
Ryunosuke Togawa, Daigo Okuhata, Yuto Yoshida, M. Nakao, N. Katayama
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引用次数: 1

摘要

我们已经开发出一种新颖的方法来估计好网膜代表图的初级视觉皮层视觉刺激引起的固有光学信号(IOS)在一个醒着的老鼠。与采用麻醉的方法不同,为了减轻动物的负担,缩短实验时间是一个重要的要求。在清醒状态下,眼球运动、瞳孔直径波动和大脑背景活动都存在。眼球运动的发生模糊了视网膜图像。在常规方法中,同步平均法必须排除这种情况下的数据。为了解决这些问题,我们重点研究了瞳孔直径与全局信号(GS)的强相关性,并在预处理中引入了一种去除全局信号的方法。该方法在单次试验中提高了视觉反应的SN比。我们假设的反应感兴趣的区域(ROI)的皮质是所描述的产品和视网膜图像和接受域函数的表达从视网膜投影到皮层。在这个模型中,与同步平均法,眼球运动的影响可以表示将视网膜图像。因此,所有的反应数据都可以用来估计参数,而不受刺激位置或眼睛位置的影响。此外,在该方法中,空间分辨率不依赖于刺激点的空间分辨率。接受野函数的参数可以用非线性最小二乘法估计。将该方法应用于实际数据,获得了比传统方法更高的空间分辨率的视网膜定位图。有趣的是,类似于高级大脑区域(如次级视觉皮层)的结构也被可视化了,这些结构以前只能通过侵入性方法(如钙成像和电极插入电生理方法)在小鼠大脑中观察到。结果表明,该方法具有较高的空间分辨率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of the retinotopic map of an awake mouse brain based upon intrinsic optical signal imaging considering the ocular position and variation in pupil diameter
We have developed a novel method to estimate the fine retinotopic map of the primary visual cortex from the intrinsic optical signal ( IOS ) induced by visual stimulation in an awake mouse. Unlike methods employing anesthesia, in order to reduce the burden on the animal, shortening the experimental time is an im-portant requirement. During the awake state, eye movement, pupil diameter fluctuations, and brain background activity are present. Occurrence of eye movement blurs the retinal image. Excluding data under such circums-tances in the synchronous average method is essential in conventional methods. In order to solve these problems, we focused on the strong correlation between the pupil diameter and the global signal ( GS ) of IOS and introduced a process to remove GS from IOS in preprocessing. This process improved the SN ratio of visual response in a single trial. We assumed that the response from the region of interest ( ROI ) of the cortex is described by the product sum of the retinal image and the receptive field function expressing the projection from the retina to the cortex. In this model, unlike the synchronous average method, the influence of eye movement can be expressed by shifting the retinal image. Therefore, all the response data can be used to estimate parameters, irrespective of the stimulation location or eye position. Additionally, in this method, the spatial resolution does not depend on the spatial resolution of the stimulation spot. The parameters of the receptive field function can be estimated using the nonlinear least squares method. By applying this method to real data, we obtained a retinotopic map with much higher spatial resolution than that obtained by conventional methods. Interestingly, structures similar to higher brain regions such as secondary visual cortex, which were previously observed only using invasive methods such as calcium imaging and electrophysiological method with electrode insertion in the mouse brain, were also visualized. These results demonstrate the usefulness of the proposed method with high spatial resolution.
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