Metabolism modulates network synchrony in the aging brain
Metabolism modulates network synchrony in the aging brain
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DOI：
10.1073/pnas.2025727118
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发表时间：
2021-09
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通讯作者：
Corey Weistuch;L. Mujica-Parodi;Rostam M. Razban;Botond B Antal;Helena van Nieuwenhuizen;Anar Amgalan;K. Dill
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文献类型：
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作者：
Corey Weistuch;L. Mujica-Parodi;Rostam M. Razban;Botond B Antal;Helena van Nieuwenhuizen;Anar Amgalan;K. Dill
大脑如何适应不断变化的资源限制？这在衰老的大脑中尤其相关，因为神经元利用其主要能量来源葡萄糖的能力减弱。通过实验和建模，我们发现随着年龄的增长，大脑活动模式的变化可以从代谢活动减少的角度来理解。具体来说，我们发现老年人的大脑接近我们模型中的一个临界点，使代谢活动的微小变化能够引起大脑功能网络的突然重新配置。脑老化与代谢减退和功能连接的整体变化有关。使用功能性磁共振成像（fMRI），我们表明，网络同步性，大脑活动的集体属性，随着年龄的增长而减少。应用统计物理学的定量方法，我们为这些变化提供了一个生成（伊辛）模型，作为大脑区域之间平均通信强度的函数。我们发现，老年人的大脑更接近这种通信强度的临界点，在这个临界点上，即使新陈代谢的微小变化也会导致网络同步性的突然变化。最后，通过实验调节年轻人的代谢活动，我们展示了代谢单独独立于与衰老相关的其他变化如何为大脑网络拓扑结构的显著重组提供一个合理的候选机制。
Significance How do brains adapt to changing resource constraints? This is particularly relevant in the aging brain, for which the ability of neurons to utilize their primary energy source, glucose, is diminished. Through experiments and modeling, we find that changes to brain activity patterns with age can be understood in terms of decreasing metabolic activity. Specifically, we find that older brains approach a critical point in our model, enabling small changes in metabolic activity to give rise to an abrupt reconfiguration of functional brain networks. Brain aging is associated with hypometabolism and global changes in functional connectivity. Using functional MRI (fMRI), we show that network synchrony, a collective property of brain activity, decreases with age. Applying quantitative methods from statistical physics, we provide a generative (Ising) model for these changes as a function of the average communication strength between brain regions. We find that older brains are closer to a critical point of this communication strength, in which even small changes in metabolism lead to abrupt changes in network synchrony. Finally, by experimentally modulating metabolic activity in younger adults, we show how metabolism alone—independent of other changes associated with aging—can provide a plausible candidate mechanism for marked reorganization of brain network topology.