非许可环境下成体神经元迁移过程中的群体行为

N. Kaneko, Taisei Ishimaru
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摘要

基于群体智能算法的机器人自主分散系统由于其抗部件故障和适应新环境的能力而受到广泛关注。在发育过程中,各种类型的集体迁移细胞有助于组织和器官的形成,并为研究群体行为提供了有用的模型。在生理条件下的成人大脑中,集体细胞迁移几乎只在吻侧迁移流中观察到,在那里,成人出生的新神经元以连续的链状结构长距离移动。缺血性中风后,一些新神经元向病变部位迁移。研究表明,促进迁移对啮齿动物中风后大脑中有效的神经元重组至关重要。新的神经元通过形成小链,清除通过神经胶质细胞的路径,并与血管相互作用,穿越到不利于迁移的受伤组织。虽然包括细胞骨架动力学、细胞间粘附和链形成在内的迁移行为过程已被单独研究,但神经元群行为的机制尚不清楚。未来的研究将有助于我们进一步了解群体智能,并推动控制神经元迁移的新策略的发展,以促进各种病理条件下有效的功能修复和重新布线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Swarm Behavior of Adult-Born Neurons During Migration in a Non-Permissive Environment
Much attention has been provided to autonomous decentralized systems based on swarm intelligence algorithms in robotics because of their resistance to component failure and ability to adapt to new environments. During development, various types of collectively migrating cells contribute to tissue and organ formation and have provided useful models for studying swarm behaviors. In the adult brain under physiological conditions, collective cell migration is almost exclusively observed in the rostral migratory stream, where adult-born new neurons travel long distances in contiguous chain-like formation. After ischemic stroke, some new neurons migrate toward the lesion site. Studies show that the promotion of migration is critical for efficient neuronal rewiring in the post-stroke brain in rodents. The new neurons traverse to injured tissues that are not conducive to migration by forming small chains, clearing a path through glial cells, and interacting with blood vessels. Although processes involved in migratory behavior, including cytoskeletal dynamics, intercellular adhesion, and chain formation, have been separately investigated, the mechanisms underlying neuronal swarm behavior are unclear. Future studies should help further our understanding of swarm intelligence and advance the development of novel strategies for controlling neuronal migration to promote efficient functional repair and rewiring in various pathological conditions.
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