人类连接体的非最佳组件放置支持可变的大脑动态
Christopher James Hayward1,2, Siyu Huo3, Xue Chen4,5,6
1Leeds Institute for Data Analytics, University of Leeds, Leeds, United Kingdom.
Network neuroscience (Cambridge, Mass.)
|June 19, 2023
概括
人类大脑不会优化组件放置以尽量减少线路长度. 相反,低于最佳的位置可能通过减少大脑区域之间的处理步骤来支持认知功能.
科学领域:
- 神经科学是一个神经科学.
- 计算神经科学是一种神经科学.
- 系统神经科学 系统神经科学
背景情况:
- 神经系统平衡了沟通需求与物理连接的代谢成本.
- 尽量减少神经投影长度是我们提出的策略之一,但远程连接是常见的.
- 组件放置优化表明区域的位置是尽量减少总电线长度.
研究的目的:
- 首次研究人类大脑中的组件放置优化.
- 为了确定人类是否表现出大脑区域在线长方面最佳或非最佳的定位.
- 探索人类观察到的组件放置的功能影响.
主要方法:
- 来自人类连接体项目的人类连接体数据的分析 (N=280).
- 通过比较实际与in silico重新排列的大脑区域位置来测试组件放置优化.
- 模拟基于观察和重新排列的大脑结构的神经通信动态.
主要成果:
- 人类大脑在所有受试者中都表现出非最佳的组件配置.
- 这种非最佳的安排表明竞争的约束,例如减少处理步骤,超过了电线长度最小化.
- 模拟表明,低于最佳的位置可能有利于认知过程.
结论:
- 人类大脑架构并没有优先考虑通过最佳组件放置来最大限度地减少总电线长度.
- 像减少处理步骤这样的限制在塑造神经架构方面发挥着重要作用.
- 非最佳的组件放置可能是一种支持认知动态的功能适应.
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