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Area of Science:

  • Neuroscience
  • Developmental Biology
  • Network Science

Background:

  • Brain structural topology evolves non-linearly across the human lifespan.
  • This development is closely linked to cognitive trajectories.
  • Understanding these changes requires a population-level, multivariate perspective.

Purpose of the Study:

  • To analyze age-related changes in brain structural topology across the entire lifespan.
  • To identify distinct epochs and turning points in human topological development.
  • To elucidate the relationship between age, brain organization, and cognitive development.

Main Methods:

  • Utilized diffusion imaging data from 4,216 individuals aged 0-90 years.
  • Applied 12 graph theory metrics to assess brain organization.
  • Employed Uniform Manifold Approximation and Projection (UMAP) to visualize topological changes in manifold spaces.

Main Results:

  • Identified four significant topological turning points at approximately ages 9, 32, 66, and 83 years.
  • Defined five distinct epochs of topological development across the lifespan.
  • Each epoch exhibited unique age-related topological changes and organizational properties.

Conclusions:

  • Human topological development is complex and non-linear, characterized by distinct maturation phases.
  • A multivariate, lifespan, population-level approach is crucial for understanding these developmental dynamics.
  • These findings provide insights into the neurobiological underpinnings of cognitive aging and development.