Swarm Behavior of Adult-Born Neurons During Migration in a Non-Permissive Environment

Author:

Kaneko Naoko1ORCID,Ishimaru Taisei12

Affiliation:

1. Laboratory of Neuronal Regeneration, Graduate School of Brain Science, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan

2. Faculty of Life and Medical Sciences, Doshisha University, 1-3 Tatara Miyakodani, Kyotanabe, Kyoto 610-0394, Japan

Abstract

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.

Funder

Japan Agency for Medical Research and Development

Japan Society for the Promotion of Science

Japan Science and Technology Agency

Publisher

Fuji Technology Press Ltd.

Subject

Electrical and Electronic Engineering,General Computer Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Review of Interdisciplinary Approach to Swarm Intelligence;Journal of Robotics and Mechatronics;2023-08-20

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