ArticlePloS one2012
Decoding lifespan changes of the human brain using resting-state functional connectivity MRI.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.
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Who cites it
49 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The older adult brain is less modular, more integrated, and less efficient at rest: A systematic review of large-scale resting-state functional brain networks in aging.Psychophysiology · 2023Pooled it
- Developmental and aging changes in brain network switching dynamics revealed by EEG phase synchronization.PLoS computational biology · 2026Article
- The effective connectome over a century of human life.Communications biology · 2025Article
- Charting Decodability of Dynamic Facial Expressions in Young and Old Adults: Similarities and Differences.Experimental neurobiology · 2025Article
- Human lifespan changes in the brain's functional connectome.Nature neuroscience · 2025Article
- Lifespan brain age prediction based on multiple EEG oscillatory features and sparse group lasso.Frontiers in aging neuroscience · 2025Article
- Functional connectome through the human life span.bioRxiv : the preprint server for biology · 2024Article
- Age-related trajectories of the development of social cognition.Frontiers in psychology · 2024Article
- Parcellation-Based Connectivity Model of the Judgement Core.Journal of personalized medicine · 2023Article
- Evaluating methods for measuring background connectivity in slow event-related functional magnetic resonance imaging designs.Brain and behavior · 2023Article
- Distance Correlation-Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies.IEEE transactions on bio-medical engineering · 2022Article
- Unveiling whole-brain dynamics in normal aging through Hidden Markov Models.Human brain mapping · 2022Article
- Structural and Functional Trajectories of Middle Temporal Gyrus Sub-Regions During Life Span: A Potential Biomarker of Brain Development and Aging.Frontiers in aging neuroscience · 2022Article
- Brain Dynamics Underlying Cognitive Flexibility Across the Lifespan.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Article
- Connectome-Based Prediction of Optimal Weight Loss Six Months After Bariatric Surgery.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Relationship Between Age and Cerebral Hemodynamic Response to Breath Holding: A Functional Near-Infrared Spectroscopy Study.Brain topography · 2021Article
- Joint embedding: A scalable alignment to compare individuals in a connectivity space.NeuroImage · 2020Article
- Differences in directed functional brain connectivity related to age, sex and mental health.Human brain mapping · 2020Article
- Affect in the Aging Brain: A Neuroimaging Meta-Analysis of Older Vs. Younger Adult Affective Experience and Perception.Affective science · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of large-scale functional brain networks is a complex, lifelong process that can be investigated using resting-state functional connectivity MRI (rs-fcMRI). In this study, we aimed to decode the developmental dynamics of the whole-brain functional network in seven decades (8-79 years) of the human lifespan. We first used parametric curve fitting to examine linear and nonlinear age effect on the resting human brain, and then combined manifold learning and support vector machine methods to predict individuals' "brain ages" from rs-fcMRI data. We found that age-related changes in interregional functional connectivity exhibited spatially and temporally specific patterns. During brain development from childhood to senescence, functional connections tended to linearly increase in the emotion system and decrease in the sensorimotor system; while quadratic trajectories were observed in functional connections related to higher-order cognitive functions. The complex patterns of age effect on the whole-brain functional network could be effectively represented by a low-dimensional, nonlinear manifold embedded in the functional connectivity space, which uncovered the inherent structure of brain maturation and aging. Regression of manifold coordinates with age further showed that the manifold representation extracted sufficient information from rs-fcMRI data to make prediction about individual brains' functional development levels. Our study not only gives insights into the neural substrates that underlie behavioral and cognitive changes over age, but also provides a possible way to quantitatively describe the typical and atypical developmental progression of human brain function using rs-fcMRI.
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