从Caenorhabditis elegans连接体中全神经活动的对称性和同步:功能和结构网络的整合
Bryant Avila1, Pedro Augusto2,3, Alireza Hashemi1,4,5
1Department of Physics and Levich Institute, City College of New York, New York, NY 10031.
概括
我们开发了一种新方法,利用连接组和活动数据在神经系统中找到网络对称性. 这揭示了神经元群是如何同步的,揭示了虫中的功能电路.
科学领域:
- 复杂性理论 复杂性理论
- 神经科学是一个神经科学.
- 系统生物学 系统生物学
背景情况:
- 从网络架构中理解复杂的系统动态是一个关键的挑战.
- 假设网络对称性是生物系统,特别是神经系统中同步活动的基础.
- 在杂的生物数据中评估完美的对称性,如神经元连接体,是困难的.
研究的目的:
- 从结合的连接体和神经元活动数据中推断网络对称性的原则方法.
- 识别解释生物系统中神经元同步的网络结构.
- 探索复杂神经系统中的结构功能关系.
主要方法:
- 连接组数据和神经系统范围内的人口活动记录的综合分析.
- 在神经元连接体内推断纤维对称性.
- 适用于*Caenorhabditis elegans*的逆向运动系统.
主要成果:
- 在C. elegans*连接体中成功推断了纤维对称性.
- 确定了特定的神经元组,其活动基于推断的对称性来同步.
- 在动物的运动外围建议的功能构建块.
结论:
- 开发的方法有效地从组合数据中推断出网络对称性.
- 推断对称性为神经元同步和功能电路提供了洞察力.
- 这种方法为研究各种复杂系统 (包括大型动物神经系统) 中的结构功能关系提供了一条途径.
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