Multiscale organization of neuronal activity unifies scale-dependent theories of brain function

IF 5.7 1区化学 Q2 CHEMISTRY, PHYSICAL

Journal of Chemical Theory and Computation Pub Date : 2024-10-30 DOI:10.1016/j.cell.2024.10.004

Brandon R. Munn, Eli J. Müller, Itia Favre-Bulle, Ethan Scott, Joseph T. Lizier, Michael Breakspear, James M. Shine

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Abstract

Brain recordings collected at different resolutions support distinct signatures of neural coding, leading to scale-dependent theories of brain function. Here, we show that these disparate signatures emerge from a heavy-tailed, multiscale functional organization of neuronal activity observed across calcium-imaging recordings collected from the whole brains of zebrafish and C. elegans as well as from sensory regions in Drosophila, mice, and macaques. Network simulations demonstrate that this conserved hierarchical structure enhances information processing. Finally, we find that this organization is maintained despite significant cross-scale reconfiguration of cellular coordination during behavior. Our findings suggest that this nonlinear organization of neuronal activity is a universal principle conserved for its ability to adaptively link behavior to neural dynamics across multiple spatiotemporal scales while balancing functional resiliency and information processing efficiency.

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神经元活动的多尺度组织统一了大脑功能的尺度依赖理论

以不同分辨率采集的大脑记录支持不同的神经编码特征，从而产生了规模依赖性的大脑功能理论。在这里，我们展示了这些不同的特征，它们来自于在斑马鱼和线虫的整个大脑以及果蝇、小鼠和猕猴的感官区域收集到的钙成像记录中观察到的神经元活动的重尾多尺度功能组织。网络模拟证明，这种保守的分层结构能增强信息处理能力。最后，我们发现，尽管在行为过程中细胞协调发生了显著的跨尺度重构，但这种组织结构仍然得以维持。我们的研究结果表明，神经元活动的这种非线性组织是一种普遍原则，它能够在多个时空尺度上将行为与神经动态适应性地联系起来，同时兼顾功能恢复能力和信息处理效率，因此得到了保护。

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来源期刊

Journal of Chemical Theory and Computation 化学-物理：原子、分子和化学物理

CiteScore

9.90

自引率

16.40%

发文量

568

审稿时长

1 months

期刊介绍： The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.