Vohryzek Jakub, Sanz-Perl Yonatan, Kringelbach Morten L, Deco Gustavo
Centre for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona 08018, Spain.
Department of Psychiatry, Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford OX3 9BX, United Kingdom.
Proc Natl Acad Sci U S A. 2025 Jan 7;122(1):e2415102122. doi: 10.1073/pnas.2415102122. Epub 2025 Jan 3.
A fundamental topological principle is that the container always shapes the content. In neuroscience, this translates into how the brain anatomy shapes brain dynamics. From neuroanatomy, the topology of the mammalian brain can be approximated by local connectivity, accurately described by an exponential distance rule (EDR). The compact, folded geometry of the cortex is shaped by this local connectivity, and the geometric harmonic modes can reconstruct much of the functional dynamics. However, this ignores the fundamental role of the rare long-range (LR) cortical connections, crucial for improving information processing in the mammalian brain, but not captured by local cortical folding and geometry. Here, we show the superiority of harmonic modes combining rare LR connectivity with EDR (EDR+LR) in capturing functional dynamics (specifically LR functional connectivity and task-evoked brain activity) compared to geometry and EDR representations. Importantly, the orchestration of dynamics is carried out by a more efficient manifold made up of a low number of fundamental EDR+LR modes. Our results show the importance of rare LR connectivity for capturing the complexity of functional brain activity through a low-dimensional manifold shaped by fundamental EDR+LR modes.
一个基本的拓扑学原理是,容器总是塑造着其中的内容。在神经科学中,这意味着大脑解剖结构如何塑造大脑动力学。从神经解剖学角度来看,哺乳动物大脑的拓扑结构可以通过局部连通性来近似,并用指数距离规则(EDR)精确描述。皮质紧凑、折叠的几何形状是由这种局部连通性塑造的,并且几何谐波模式可以重构大部分功能动力学。然而,这忽略了罕见的长程(LR)皮质连接的基本作用,这些连接对于改善哺乳动物大脑中的信息处理至关重要,但未被局部皮质折叠和几何形状所捕捉。在这里,我们展示了将罕见的LR连通性与EDR相结合的谐波模式(EDR+LR)在捕捉功能动力学(特别是LR功能连通性和任务诱发的大脑活动)方面,相较于几何形状和EDR表示的优越性。重要的是,动力学的编排是由一个由少量基本EDR+LR模式组成的更高效流形来执行的。我们的结果表明,罕见的LR连通性对于通过由基本EDR+LR模式塑造的低维流形来捕捉功能性大脑活动的复杂性具有重要意义。