ArticleHuman brain mapping2020
Longitudinal functional brain network reconfiguration in healthy aging.
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 28 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
28 citing papers in PubMed.
- Diurnal dynamics of multilayer brain networks predict cognitive trajectories in aging.GeroScience · 2026Article
- Network-specific metabolic cost of functional connectivity in the human brain.bioRxiv : the preprint server for biology · 2026Article
- Elevation in network dynamics amplifies amyloid-dependent tau pathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Correspondence of large-scale functional brain network decline across aging mice and humans.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Sub-Regional Motor-Somatosensory Connectivity and Lifespan Plasticity in Functional Networks.Neurosciences (Riyadh, Saudi Arabia) · 2026Article
- Loneliness exacerbates age differences in the -allostatic-interoceptive system during induced affect.Social cognitive and affective neuroscience · 2026Article
- Modelling cognitive outcomes in the UK Biobank: Education, noradrenaline and frontoparietal networks.PloS one · 2026Article
- Functional Importance Backbones of the Brain at Rest, Wakefulness, and Sleep.Brain sciences · 2025Article
- Impaired brain ability of older adults to transit and persist to latent states with well-organized structures at wakeful rest.GeroScience · 2025Article
- Whole-brain modular dynamics at rest predict sensorimotor learning performance.Network neuroscience (Cambridge, Mass.) · 2025Article
- Age-related changes of node degree in the multiple-demand network predict fluid intelligence.IBRO neuroscience reports · 2024Article
- Dynamic multilayer functional connectivity detects preclinical and clinical Alzheimer's disease.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Influence of atlas-choice on age and time effects in large-scale brain networks in the context of healthy aging.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Altered Relationship between Functional Connectivity and Fiber-Bundle Structure in High-Functioning Male Adults with Autism Spectrum Disorder.Brain sciences · 2023Article
- The relationship between resting-state amplitude fluctuations and memory-related deactivations of the default mode network in young and older adults.Human brain mapping · 2023Article
- Article
- Functional networks in prolonged disorders of consciousness.Frontiers in neuroscience · 2023Review
- Dynamic network model reveals distinct tau spreading patterns in early- and late-onset Alzheimer disease.Alzheimer's research & therapy · 2022Article
- Identification of individual subjects based on neuroanatomical measures obtained 7 years earlier.The European journal of neuroscience · 2022Article
- Changes in pairwise functional connectivity associated with changes in cognitive performance in cognitively normal older individuals: A two-year observational study.Neuroscience letters · 2022Observational
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Healthy aging is associated with changes in cognitive performance and functional brain organization. In fact, cross-sectional studies imply lower modularity and significant heterogeneity in modular architecture across older subjects. Here, we used a longitudinal dataset consisting of four occasions of resting-state-fMRI and cognitive testing (spanning 4 years) in 150 healthy older adults. We applied a graph-theoretic analysis to investigate the time-evolving modular structure of the whole-brain network, by maximizing the multilayer modularity across four time points. Global flexibility, which reflects the tendency of brain nodes to switch between modules across time, was significantly higher in healthy elderly than in a temporal null model. Further, global flexibility, as well as network-specific flexibility of the default mode, frontoparietal control, and somatomotor networks, were significantly associated with age at baseline. These results indicate that older age is related to higher variability in modular organization. The temporal metrics were not associated with simultaneous changes in processing speed or learning performance in the context of memory encoding. Finally, this approach provides global indices for longitudinal change across a given time span and it may contribute to uncovering patterns of modular variability in healthy and clinical aging populations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.