ArticleCerebral cortex (New York, N.Y. : 1991)2023
Stability of sensorimotor network sculpts the dynamic repertoire of resting state over lifespan.
Article in Cerebral cortex (New York, N.Y. : 1991), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 24 citations in OpenAlex.
- A generalized scaling law reveals synchrony-driven reorganization of brain dynamics across human lifespan.PLoS computational biology · 2026Article
- Fifteen years on: a review of the Cam-CAN study of the cognitive neuroscience of ageing.GeroScience · 2026Review
- Beyond networks: Toward adaptive models of biological complexity.Physics of life reviews · 2026Review
- Internet addiction is associated with differences in static and dynamic hippocampal functional connectivity in young adults: the mediating role of emotion regulation difficulties.Frontiers in psychiatry · 2026Article
- Local homeostasis preserves global neural dynamics compensating for structural loss during human lifespan aging.Communications biology · 2025Article
- Lifespan oscillatory dynamics in lexical production: A population-based MEG resting-state analysis.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Identifying dynamic reproducible brain states using a predictive modelling approach.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Characterization of the temporal stability of ToM and pain functional brain networks carry distinct developmental signatures during naturalistic viewing.Scientific reports · 2024Article
- Abnormal Dynamic Reconfiguration of Multilayer Temporal Networks in Patients with Bipolar Disorder.Brain sciences · 2024Article
- Dynamicity of brain network organization & their community architecture as characterizing features for classification of common mental disorders from whole-brain connectome.Translational psychiatry · 2024Article
- Syncing the brain's networks: dynamic functional connectivity shifts from temporal interference.Frontiers in human neuroscience · 2024Article
- White-matter degradation and dynamical compensation support age-related functional alterations in human brain.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Characterizing the spatiotemporal features of functional connectivity across the white matter and gray matter during the naturalistic condition.Frontiers in neuroscience · 2023Article
- Structural-and-dynamical similarity predicts compensatory brain areas driving the post-lesion functional recovery mechanism.Cerebral cortex communications · 2023Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Temporally stable patterns of neural coordination among distributed brain regions are crucial for survival. Recently, many studies highlight association between healthy aging and modifications in organization of functional brain networks, across various time-scales. Nonetheless, quantitative characterization of temporal stability of functional brain networks across healthy aging remains unexplored. This study introduces a data-driven unsupervised approach to capture high-dimensional dynamic functional connectivity (dFC) via low-dimensional patterns and subsequent estimation of temporal stability using quantitative metrics. Healthy aging related changes in temporal stability of dFC were characterized across resting-state, movie-viewing, and sensorimotor tasks (SMT) on a large (n = 645) healthy aging dataset (18-88 years). Prominent results reveal that (1) whole-brain temporal dynamics of dFC movie-watching task is closer to resting-state than to SMT with an overall trend of highest temporal stability observed during SMT followed by movie-watching and resting-state, invariant across lifespan aging, (2) in both tasks conditions stability of neurocognitive networks in young adults is higher than older adults, and (3) temporal stability of whole brain resting-state follows a U-shaped curve along lifespan-a pattern shared by sensorimotor network stability indicating their deeper relationship. Overall, the results can be applied generally for studying cohorts of neurological disorders using neuroimaging tools.
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