Topological turning points across the human lifespan

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.

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Publication Details

Journal
Nature Communications
Published
2025-11-25
DOI
https://doi.org/10.1038/s41467-025-65974-8
Citations
19
Primary Topic
Topological and Geometric Data Analysis
Type
article
Field-Weighted Citation Impact
28.58

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article

Topological turning points across the human lifespan

Richard A. I. Bethlehem, Duncan Edward Astle, Alexa L. S. Mousley, Fang‐Cheng Yeh
19 citations
Nature Communications
Topological and Geometric Data Analysis
28.58
article

Topological turning points across the human lifespan

Richard A. I. Bethlehem, Duncan Edward Astle, Alexa L. S. Mousley, Fang‐Cheng Yeh
article en
19 citations

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.

Nature CommunicationsVol. 16(1)
University of Pittsburgh (US), MRC Cognition and Brain Sciences Unit (GB), University of Cambridge (GB), Neurological Surgery (US)
National Science Foundation, James S. McDonnell Foundation, University of Minnesota, National Institute for Health and Care Research, European Commission, Templeton World Charity Foundation, Directorate for Biological Sciences, Medical Research Council, Engineering and Physical Sciences Research Council, NIHR Cambridge Biomedical Research Centre, Centre For Medical Engineering, King’s College London
Openalex Percentile: Top 0%
Topological and Geometric Data Analysis
28.58
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