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虚拟组织工程与视觉通路:描绘视网膜神经纤维层中轴突的走向

Virtual tissue engineering and optic pathways: plotting the course of the axons in the retinal nerve fiber layer.

作者信息

Carreras Francisco Javier, Medina Javier, Ruiz-Lozano Mariola, Carreras Ignacio, Castro Juan Luis

机构信息

Department of Surgery (Ophthalmology), Faculty of Medicine, University of Granada, Granada, Spain.

School of Computer Science, Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain.

出版信息

Invest Ophthalmol Vis Sci. 2014 Apr 17;55(5):3107-19. doi: 10.1167/iovs.13-13387.

Abstract

PURPOSE

As part of a larger project on virtual tissue engineering of the optic pathways, we describe the conditions that guide axons extending from the retina to the optic nerve head and formulate algorithms that meet such conditions. To find the entrance site on the optic nerve head of each axon, we challenge the fibers to comply with current models of axonal pathfinding.

METHODS

First, we build a retinal map using a single type of retinal ganglion cell (RGC) using density functions from the literature. Dendritic arbors are equated to receptive fields. Shape and size of retinal surface and optic nerve head (ONH) are defined. A computer model relates each soma to the corresponding entry point of its axon into the optic disc. Weights are given to the heuristics that guide the preference entry order in the nerve.

RESULTS

Retinal ganglion cells from the area centralis saturate the temporal section of the disc. Retinal ganglion cells temporal to the area centralis curve their paths surrounding the fovea; some of these cells enter the disc centrally rather than peripherally. Nasal regions of the disc receive mixed axons from the far periphery of the temporal hemiretina, together with axons from the nasal half. The model plots the course of the axon using Bezier curves and compares them with clinical data, for a coincidence level of 86% or higher.

CONCLUSIONS

Our model is able to simulate basic data of the early optic pathways including certain singularities and to mimic mechanisms operating during development, such as timing and fasciculation.

摘要

目的

作为视路虚拟组织工程一个更大项目的一部分,我们描述引导轴突从视网膜延伸至视神经乳头的条件,并制定符合这些条件的算法。为找到每条轴突在视神经乳头上的入口位置,我们让纤维遵循当前的轴突寻路模型。

方法

首先,我们利用文献中的密度函数,使用单一类型的视网膜神经节细胞(RGC)构建视网膜图谱。树突分支等同于感受野。定义视网膜表面和视神经乳头(ONH)的形状和大小。一个计算机模型将每个胞体与其轴突进入视盘的相应入口点相关联。赋予引导神经中偏好进入顺序的启发式算法权重。

结果

来自中央凹区域的视网膜神经节细胞使视盘的颞侧部分饱和。中央凹区域颞侧的视网膜神经节细胞使其路径围绕中央凹弯曲;这些细胞中的一些从中央而非周边进入视盘。视盘的鼻侧区域接收来自颞侧半视网膜远周边的混合轴突,以及来自鼻侧半的轴突。该模型使用贝塞尔曲线绘制轴突的路径,并将其与临床数据进行比较,符合率达86%或更高。

结论

我们的模型能够模拟早期视路的基础数据,包括某些独特之处,并模仿发育过程中起作用的机制,如时间安排和束状化。

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