ArticleHuman brain mapping2022
Trajectories of brain entropy across lifetime estimated by resting state functional magnetic resonance imaging.
Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Same ages, different stages: Pubertal development in 9- and 10-year olds is associated with entropy of fMRI signals.Developmental cognitive neuroscience · 2026Article
- Lifespan trajectories of the brain's functional complexity characterized by multiscale sample entropy.NeuroImage · 2026Article
- Article
- Resting-State Functional MRI Analyses for Brain Activity Characterization: A Narrative Review of Features and Methods.The European journal of neuroscience · 2025Review
- Aging diminishes interlaminar functional connectivity in the mouse cortical V1 and CA1 hippocampal regions.bioRxiv : the preprint server for biology · 2025Article
- Normative Brain Entropy Across the Lifespan.bioRxiv : the preprint server for biology · 2025Article
- The lifelong nonlinear development of spatial variability of brain signals.Communications biology · 2025Article
- Brain network entropy, depression, and quality of life in people with traumatic brain injury and seizure disorders.Epilepsia open · 2024Article
- Abnormal activation patterns in MT+ during visual motion perception in major depressive disorder.Frontiers in psychiatry · 2024Article
- Trajectories of brain entropy across lifetime estimated by resting state functional magnetic resonance imaging.Human brain mapping · 2022Article
- Childhood trauma is linked to abnormal static-dynamic brain topology in adolescents with major depressive disorder.International journal of clinical and health psychology : IJCHPArticle
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The human brain is a complex system of interconnected brain regions that form functional networks with differing roles in cognition and behavior. However, the trajectories of these functional networks across development are unclear and designing a metric to track the complex trajectory of these characteristics throughout the lifespan is challenging. Here, permutation entropy (PE) was used to examine age-related variations in functional magnetic resonance imaging (fMRI) in healthy subjects aged 6-85 from global, network, and nodal perspectives. The global PE followed an inverted U-shaped trajectory that peaked at approximately age 40. The trajectory of the motor and somatosensory functional network was more consistent with a linear model and increased with age; other functional networks showed inverted U-shaped trajectories that peaked between 25 and 52 years of age. All nodes showed inverted U-shaped trajectories. Using cluster analysis, the peak ages of nodes were grouped into three clusters (at 24, 38, and 51 years). Overall, we characterized four aging trajectories: networks with a linear increase, early peak age, intermediate peak age, and older peak age. These findings suggest possible complexity in trajectories at critical age points regarding changes in related functional brain networks.
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