拓扑(电路)
歧管(流体力学)
图形
拓扑空间的范畴
投影(关系代数)
航程(航空)
计算机科学
拓扑数据分析
拓扑流形
图论
认知
非线性降维
物理中的拓扑熵
零维空间
拓扑量子数
进化生物学
拓扑空间
数学
扩散
作者
Alexa Mousley,Richard A.I. Bethlehem,Fang-Cheng Yeh,Duncan E. Astle,Alexa Mousley,Richard A.I. Bethlehem,Fang-Cheng Yeh,Duncan E. Astle
标识
DOI:10.1038/s41467-025-65974-8
摘要
Abstract Structural topology develops non-linearly across the lifespan and is strongly related to cognitive trajectories. We gathered diffusion imaging from datasets with a collective age range of zero to 90 years old ( N = 4,216). We analyzed how 12 graph theory metrics of organization change with age and projected these data into manifold spaces using Uniform Manifold Projection and Approximation. With these manifolds, we identified four major topological turning points across the lifespan – around nine, 32, 66, and 83 years old. These ages defined five major epochs of topological development, each with distinctive age-related changes in topology. These lifespan epochs each have a distinct direction of topological development and specific changes in the organizational properties driving the age-topology relationship. This study underscores the complex, non-linear nature of human development, with unique phases of topological maturation, which can only be illuminated with a multivariate, lifespan, population-level perspective.
科研通智能强力驱动
Strongly Powered by AbleSci AI