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关于中脑神经图谱对齐的分子机制建模的新见解。

New insights on the modeling of the molecular mechanisms underlying neural maps alignment in the midbrain.

机构信息

Department of Biology and Psychology, University of Virginia, Charlottesville, United States.

Donald K. Johnson Eye Institute, Krembil Research Institute, University Health Network, Toronto, Canada.

出版信息

Elife. 2020 Sep 30;9:e59754. doi: 10.7554/eLife.59754.

Abstract

We previously identified and modeled a principle of visual map alignment in the midbrain involving the mapping of the retinal projections and concurrent transposition of retinal guidance cues into the superior colliculus providing positional information for the organization of cortical V1 projections onto the retinal map (Savier et al., 2017). This principle relies on mechanisms involving Epha/Efna signaling, correlated neuronal activity and axon competition. Here, using the 3-step map alignment computational model, we predict and validate in vivo the visual mapping defects in a well-characterized mouse model. Our results challenge previous hypotheses and provide an alternative, although complementary, explanation for the phenotype observed. In addition, we propose a new quantification method to assess the degree of alignment and organization between maps, allowing inter-model comparisons. This work generalizes the validity and robustness of the 3-step map alignment algorithm as a predictive tool and confirms the basic mechanisms of visual map organization.

摘要

我们之前在中脑中确定并模拟了一个视觉图谱对齐原理,该原理涉及视网膜投射的映射以及视网膜导向线索的同时易位到上丘,为皮层 V1 投射到视网膜图谱上的组织提供位置信息(Savier 等人,2017 年)。这个原理依赖于涉及 EphA/Efna 信号、相关神经元活动和轴突竞争的机制。在这里,我们使用 3 步图谱对齐计算模型,预测并验证了一种特征明确的小鼠模型中的视觉映射缺陷。我们的结果挑战了以前的假设,并为观察到的表型提供了一个替代但互补的解释。此外,我们提出了一种新的量化方法来评估图谱之间的对齐和组织程度,允许进行模型间比较。这项工作推广了 3 步图谱对齐算法作为预测工具的有效性和鲁棒性,并证实了视觉图谱组织的基本机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19fe/7527235/558658c88fab/elife-59754-fig1.jpg

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