ArticleHuman brain mapping2020
Age-related structural and functional variations in 5,967 individuals across the adult lifespan.
Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.
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Who cites it
47 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Lower brain glucose metabolism in normal ageing is predominantly frontal and temporal: A systematic review and pooled effect size and activation likelihood estimates meta-analyses.Human brain mapping · 2023Pooled 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
- Using connectome-based models of working memory to predict emotion regulation in older adults.Social cognitive and affective neuroscience · 2023Trial
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- Developmental and aging changes in brain network switching dynamics revealed by EEG phase synchronization.PLoS computational biology · 2026Article
- Physical Activity and Depressive Mood Share the Structural Connectivity Between Motor and Reward Networks.Neuroscience bulletin · 2026Article
- Contributions of Gray Matter Microstructure to Differences in Fluid Cognition and Episodic Memory Across the Healthy Adult Lifespan.Human brain mapping · 2026Article
- Multilevel white matter degeneration associated cognitive dysfunction in mild cognitive impairment.Molecular psychiatry · 2026Article
- Lifespan dynamics of STN-based functional connectivity and network properties: Implications for motor dysfunction and circuit-based neuromodulation.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026Article
- Nonlinear Lifespan Trajectories of Memory and Fluid Reasoning: A Longitudinal GAMM Study.Research square · 2025Article
- Local homeostasis preserves global neural dynamics compensating for structural loss during human lifespan aging.Communications biology · 2025Article
- Lifespan investigation of brain volumetric changes associated with substance use disorders.Research square · 2025Article
- Flexible nonlinear modeling reveals age-related differences in resting-state functional brain connectivity in autistic males from childhood to mid-adulthood.Molecular autism · 2025Article
- Analysis of functional connectivity changes from childhood to old age: A study using HCP-D, HCP-YA, and HCP-A datasets.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Neuromark PET: A multivariate method for estimating whole brain fMRI guided intrinsic networks and connectomes from fMRI and PET data.bioRxiv : the preprint server for biology · 2025Article
- High-precision machine learning identifies a reproducible functional connectivity signature of autism spectrum diagnosis in a subset of individuals.GigaScience · 2025Article
- Obesity accelerates brain ageing: a multimodal imaging study.Brain communications · 2025Article
- High-resolution structural connectivity mediates age-related differences in functional connectivity and fluid cognition.Brain communications · 2025Article
- Common and unique brain aging patterns between females and males quantified by large-scale deep learning.Human brain mapping · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Exploring brain changes across the human lifespan is becoming an important topic in neuroscience. Though there are multiple studies which investigated the relationship between age and brain imaging, the results are heterogeneous due to small sample sizes and relatively narrow age ranges. Here, based on year-wise estimation of 5,967 subjects from 13 to 72 years old, we aimed to provide a more precise description of adult lifespan variation trajectories of gray matter volume (GMV), structural network correlation (SNC), and functional network connectivity (FNC) using independent component analysis and multivariate linear regression model. Our results revealed the following relationships: (a) GMV linearly declined with age in most regions, while parahippocampus showed an inverted U-shape quadratic relationship with age; SNC presented a U-shape quadratic relationship with age within cerebellum, and inverted U-shape relationship primarily in the default mode network (DMN) and frontoparietal (FP) related correlation. (b) FNC tended to linearly decrease within resting-state networks (RSNs), especially in the visual network and DMN. Early increase was revealed between RSNs, primarily in FP and DMN, which experienced a decrease at older ages. U-shape relationship was also revealed to compensate for the cognition deficit in attention and subcortical related connectivity at late years. (c) The link between middle occipital gyrus and insula, as well as precuneus and cerebellum, exhibited similar changing trends between SNC and FNC across the adult lifespan. Collectively, these results highlight the benefit of lifespan study and provide a precise description of age-related regional variation and SNC/FNC changes based on a large dataset.
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