Estimation of retinotopic map of awake mouse brain based upon retino-cortical response model
Estimation of retinotopic map of awake mouse brain based upon retino-cortical response model
复制标题
基于视网膜皮质反应模型的清醒小鼠大脑视网膜专题图估计
DOI：
10.1109/embc46164.2021.9630950
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
N. Katayama
中科院分区：
文献类型：
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作者：
R. Togawa;M. Nakao;N. Katayama
我们提出了一种新的视网膜-皮层反应模型，在该模型上，从清醒小鼠视觉刺激诱导的内在光信号（IOS）估计初级视皮层的精细视网膜定位图。我们的方法是为了克服测量时间和干扰的实际限制，如眼球运动和大脑背景活动，而不是同步平均。在我们的模型中，假设皮层区域的响应是通过将投射在球形视网膜上的图像与视网膜-皮层敏感函数的乘积积分来给出的。此外，为了估计敏感函数的参数，基于蒙特卡洛的数值积分和非线性最小二乘算法。通过将这种方法应用于实际IOS数据，我们估计了敏感性函数参数和视网膜定位图的生物学上合理的空间分布。与我们之前的研究类似，高级大脑区域，如次级视觉皮层也被可视化。这些结果表明，我们提出的方法的基础上的新的retino-cortical response model.Clinical Relevance-恢复下的视觉功能的评价方法的实用性提出，并在动物实验中检查其有效性。
We proposed a novel retino-cortical response model on which the fine retinotopic map of the primary visual cortex was estimated from the intrinsic optical signal (IOS) induced by visual stimulation in an awake mouse. Our method was developed to overcome practical restrictions of measurement time and disturbances such as eye movement and brain background activity instead of synchronous averaging. In our model, it was assumed that the response of the cortical region was given by integrating the product of the image projected on a spherical retina and the retino-cortical sensitive function. In addition, in order to estimate parameters of the sensitive function, Monte Carlo-based numerical integration and nonlinear least square algorithm were employed. By applying this method to the actual IOS data, we estimated a biologically plausible spatial distribution of the sensitivity function parameters and a retinotopic map. Similar to our pervious study, higher-order brain regions such as the secondary visual cortex were also visualized. These results suggested usefulness of our proposed method based on the novel retino-cortical response model.Clinical Relevance— The method for evaluating visual functions under restoration was proposed and its validity was examined in animal experiments.