人类大脑动态的控制成本
Eric G Ceballos1,2,3, Andrea I Luppi1, Gabriel Castrillon3,4,5
1Montréal Neurological Institute, McGill University, Montréal, QC, Canada.
Network neuroscience (Cambridge, Mass.)
|March 31, 2025
概括
人类大脑通过在状态过渡期间最大限度地降低控制成本来管理能量. 本研究引入了时间平均控制能量 (TCE) 来量化大脑控制成本,将其与新陈代谢和功能效率联系起来.
科学领域:
- 神经科学是一个神经科学.
- 网络科学 网络科学
- 计算生物学 计算生物学
背景情况:
- 人类大脑的高能量需求需要高效的控制机制.
- 了解全脑控制成本及其生物能量基础至关重要,但尚未得到充分研究.
研究的目的:
- 引入和应用时间平均控制能量 (TCE) 的概念,以量化休息时的大脑控制成本.
- 研究TCE,大脑新陈代谢和功能性大脑动态之间的关系.
主要方法:
- 利用网络控制理论来定义和计算TCE.
- 整合功能MRI和扩散MRI数据用于全脑分析.
- 与正子发射断层扫描 (PET) 测量氧代谢的相关的TCE.
主要成果:
- 在空间上,TCE与大脑的氧化代谢相关,这表明控制的生物能量成本.
- 大脑状态转换更有效 (较低的TCE),并且在等级组内比在等级组之间更频繁.
- 时间控制成本和国家访问频率之间存在反向相关性,这表明能效的功能多样性.
结论:
- 介绍了TCE作为一种用于量化大脑控制的能量成本的新型指标.
- 证明了大脑控制成本,新陈代谢和层次组织之间的联系.
- 提出了一个机制,通过高效的控制策略,大脑平衡功能多样性和能源消耗.
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