NeuroImageNeurosciencePeer-reviewed journal article
Dispersion of functional gradients across the lifespan
Richard A. I. BethlehemiD, Casey PaquolaiD, Jakob SeidlitziD, Lisa RonaniD, Boris C. BernhardtiD, Kamen A. TsvetanoviD
Abstract
Ageing is commonly associated with changes to segregation and integration of functional brain networks, but, in isolation, current network-based approaches struggle to elucidate changes across the many axes of functional organisation. However, the advent of gradient mapping techniques to neuroimaging provides a new means of studying functional organisation in a multi-dimensional connectivity space. Here, we studied ageing and behaviourally-relevant differences in a three-dimensional connectivity space using the Cambridge Centre for Ageing Neuroscience cohort (n=643). Building on gradient mapping techniques, we developed a set of measures to quantify the dispersion within and between functional communities. We detected a strong shift of the visual network across the lifespan from an extreme to a more central position in the 3D gradient space. In contrast, the dispersion distance of transmodal communities (dorsal attention, ventral attention, frontoparietal and default mode) did not change. However, these communities were increasingly dispersed with increasing age, reflecting more dissimilar functional connectivity profiles within each community. Increasing dispersion of frontoparietal and ventral attention networks, in particular, was associated negatively with cognition, measured by fluid intelligence. By using a technique that explicitly captures the ordering of functional systems in a multi-dimensional hierarchical framework, we identified behaviorally-relevant age-related differences of within and between network organisation. We propose that the study of functional gradients across the lifespan could provide insights that may facilitate the development of new strategies to maintain cognitive ability across the lifespan in health and disease.
- Citations
- 219
- FWCI
- 13.02
- Field percentile
- top 1%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Targeting age-related differences in brain and cognition with multimodal imaging and connectome topography profiling
Alexander J. Lowe, Casey Paquola, … Boris C. Bernhardt·Human Brain MappingPeer-reviewed·Aug 24, 2019
- Age differences in the functional architecture of the human brain
Roni Setton, Laetitia Mwilambwe-Tshilobo, … R. Nathan Spreng·Cerebral CortexPeer-reviewed·Jan 28, 2022
- Individualized Mapping of Functional Brain Networks in Older Adulthood
Colleen S. Hughes, Anne C. Krendl, … Richard F. Betzel·Imaging NeurosciencePeer-reviewed·Jan 1, 2026
- Linking structural and functional changes during aging using multilayer brain network analysis
Gwendolyn Jauny, Mite Mijalkov, … Thomas Hinault·Communications BiologyPeer-reviewed·Feb 28, 2024
- Brain Network Architecture Constrains Age-related Cortical Thinning
Marvin Petersen, Felix Leonard Nägele, … Bastian Cheng·NeuroImagePeer-reviewed·Oct 29, 2022
- The independent influences of age and education on functional brain networks and cognition in healthy older adults
Alistair Perry, Wei Xiong Wen, … Michael J Breakspear·Human Brain MappingPeer-reviewed·Jul 7, 2017