Human brain networks function in connectome-specific harmonic waves.
Human brain networks function in connectome-specific harmonic waves.
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DOI：
10.1038/ncomms10340
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发表时间：
2016-01-21
影响因子：
16.6
通讯作者：
Pearson J
中科院分区：
文献类型：
--
作者：
Atasoy S;Donnelly I;Pearson J
人类大脑活动的一个关键特征是连贯的，空间分布的振荡形成行为依赖的大脑网络。然而，这些网络背后的基本原理仍然未知。在这里，我们报告了人类大脑的功能网络是由谐波模式预测的，在自然界中无处不在，由人类大脑皮层的解剖学指导，人类连接组。我们介绍了一种将傅立叶基扩展到人类连接体的新技术。在这种新的特定频率的皮层活动表征中，我们称之为“连接组谐波”，人脑在静止状态下的振荡网络与特定频率的谐波模式相匹配。我们用连接组兴奋-抑制相互作用的连续神经场模型证明了连接组谐波自组织背后的神经机制。值得注意的是，神经场模式与微妙的兴奋-抑制平衡之间的关键关系符合意识丧失和恢复过程中观察到的神经生理变化。区域间振荡同步受到解剖学连接的限制，但缺乏连接功能和结构连接的基本原则。在这里，Atasoy和他的同事们表明，结构连接组中的谐波模式可以预测静息状态网络的动态。
A key characteristic of human brain activity is coherent, spatially distributed oscillations forming behaviour-dependent brain networks. However, a fundamental principle underlying these networks remains unknown. Here we report that functional networks of the human brain are predicted by harmonic patterns, ubiquitous throughout nature, steered by the anatomy of the human cerebral cortex, the human connectome. We introduce a new technique extending the Fourier basis to the human connectome. In this new frequency-specific representation of cortical activity, that we call ‘connectome harmonics', oscillatory networks of the human brain at rest match harmonic wave patterns of certain frequencies. We demonstrate a neural mechanism behind the self-organization of connectome harmonics with a continuous neural field model of excitatory–inhibitory interactions on the connectome. Remarkably, the critical relation between the neural field patterns and the delicate excitation–inhibition balance fits the neurophysiological changes observed during the loss and recovery of consciousness. Inter-areal oscillatory synchronization is constrained by anatomical connections, yet a fundamental principle linking functional and structural connectivity is lacking. Here, Atasoy and colleagues show that harmonic patterns in structural connectome can predict dynamics of resting state networks.