ArticleNetwork neuroscience (Cambridge, Mass.)2024
Brain signal variability and executive functions across the life span.
Article in Network neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Lifespan trajectories of the brain's functional complexity characterized by multiscale sample entropy.NeuroImage · 2026Article
- Task and Resting-State Functional Magnetic Resonance Imaging Modeling of Brain-Behavior Relationships in Developmental Cohorts.Biological psychiatry · 2026Review
- Neural variability across the transition to motherhood: Enhanced moment-to-moment neural variability during mentalizing in first-time mothers.Journal of neuroendocrinology · 2026Article
- Regional BOLD variability reflects microstructural maturation and neuronal ensheathment in the preterm infant cortex.Nature communications · 2026Article
- Developmental and aging changes in brain network switching dynamics revealed by EEG phase synchronization.PLoS computational biology · 2026Article
- Transdiagnostic Profiles of BOLD Signal Variability in Autism and Schizophrenia Spectrum Disorders: Associations With Cognition and Functioning.Human brain mapping · 2026Article
- Distributed fMRI Patterns Coupled to Low-Frequency Cardiorespiratory Dynamics Provide Markers of Aging.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Brain glucodynamic variability is an essential feature of the metabolism-cognition relationship.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Distributed fMRI patterns coupled to low-frequency cardiorespiratory dynamics provide markers of aging.bioRxiv : the preprint server for biology · 2025Article
- Slower transitions between control states lead to reductions in cognitive flexibility over the lifespan.bioRxiv : the preprint server for biology · 2025Article
- Linking Individual Variability of Multi-modal Connectivity, Lifestyle, Psycho-Social Factors and Cognition in Older Adults.Aging and disease · 2025Article
- Age-related changes in brain signal variability in autism spectrum disorder.Molecular autism · 2025Article
- Moderation between resting-state connectivity and brain amyloid levels on speed of cognitive and physical function in older adults: Evidence for network-based cognitive reserve.Aperture neuro · 2025Article
- Reliability of variability and complexity measures for task and task-free BOLD fMRI.Human brain mapping · 2024Article
- Electroencephalography Spectral-power Volatility Predicts Problem-solving Outcomes.Journal of cognitive neuroscience · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Neural variability is thought to facilitate survival through flexible adaptation to changing environmental demands. In humans, such capacity for flexible adaptation may manifest as fluid reasoning, inhibition of automatic responses, and mental set-switching-skills falling under the broad domain of executive functions that fluctuate over the life span. Neural variability can be quantified via the BOLD signal in resting-state fMRI. Variability of large-scale brain networks is posited to underpin complex cognitive activities requiring interactions between multiple brain regions. Few studies have examined the extent to which network-level brain signal variability across the life span maps onto high-level processes under the umbrella of executive functions. The present study leveraged a large publicly available neuroimaging dataset to investigate the relationship between signal variability and executive functions across the life span. Associations between brain signal variability and executive functions shifted as a function of age. Limbic-specific variability was consistently associated with greater performance across subcomponents of executive functions. Associations between executive function subcomponents and network-level variability of the default mode and central executive networks, as well as whole-brain variability, varied across the life span. Findings suggest that brain signal variability may help to explain to age-related differences in executive functions across the life span.
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