ArticlePloS one2017
The modulation of EEG variability between internally- and externally-driven cognitive states varies with maturation and task performance.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 34 citations in OpenAlex.
- Cognitive Processing and EEG Complexity.Entropy (Basel, Switzerland) · 2026Review
- Age-Related Changes in EEG Signal Complexity and Behavioral Variability from Childhood to Adulthood: A Multiscale Entropy Approach.Entropy (Basel, Switzerland) · 2026Article
- Brain signal complexity tracks mind-wandering and visual perceptual learning.Scientific reports · 2025Article
- Brain Complexity and Parametrization of Power Spectral Density in Children with Specific Language Impairment.Entropy (Basel, Switzerland) · 2025Article
- Resting-state neural dynamics changes in older adults with post-COVID syndrome and the modulatory effect of cognitive training and sex.GeroScience · 2025Article
- The Problem with Time: Application of Partial Least Squares Analysis on Time-Frequency Plots to Account for Varying Time Intervals with Applied EEG Data.Brain sciences · 2025Article
- One size does not fit all: notable individual variation in brain activity correlates of antidepressant treatment response.Frontiers in psychiatry · 2024Article
- Linear and Non-linear Analyses of EEG in a Group of ASD Children During Resting State Condition.Brain topography · 2023Article
- Multiscale entropy of ADHD children during resting state condition.Cognitive neurodynamics · 2023Article
- Entropy, complexity, and maturity in children's neural responses to naturalistic video lessons.Cortex; a journal devoted to the study of the nervous system and behavior · 2023Article
- Electroencephalography complexity in resting and task states in adults with attention-deficit/hyperactivity disorder.Brain communications · 2022Article
- Signal complexity indicators of health status in clinical EEG.Scientific reports · 2021Article
- Behavioral and cognitive correlates of the aperiodic (1/f-like) exponent of the EEG power spectrum in adolescents with and without ADHD.Developmental cognitive neuroscience · 2021Article
- [Research progress on multiscale entropy algorithm and its application in neural signal analysis].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020Article
- Standard multiscale entropy reflects neural dynamics at mismatched temporal scales: What's signal irregularity got to do with it?PLoS computational biology · 2020Article
- Visual feedback during motor performance is associated with increased complexity and adaptability of motor and neural output.Behavioural brain research · 2019Article
- Task-evoked functional connectivity does not explain functional connectivity differences between rest and task conditions.Human brain mapping · 2018Article
- Pre-treatment EEG signal variability is associated with treatment success in depression.NeuroImage. Clinical · 2018Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increasing evidence suggests that brain signal variability is an important measure of brain function reflecting information processing capacity and functional integrity. In this study, we examined how maturation from childhood to adulthood affects the magnitude and spatial extent of state-to-state transitions in brain signal variability, and how this relates to cognitive performance. We looked at variability changes between resting-state and task (a symbol-matching task with three levels of difficulty), and within trial (fixation, post-stimulus, and post-response). We calculated variability with multiscale entropy (MSE), and additionally examined spectral power density (SPD) from electroencephalography (EEG) in children aged 8-14, and in adults aged 18-33. Our results suggest that maturation is characterized by increased local information processing (higher MSE at fine temporal scales) and decreased long-range interactions with other neural populations (lower MSE at coarse temporal scales). Children show MSE changes that are similar in magnitude, but greater in spatial extent when transitioning between internally- and externally-driven brain states. Additionally, we found that in children, greater changes in task difficulty were associated with greater magnitude of modulation in MSE. Our results suggest that the interplay between maturational and state-to-state changes in brain signal variability manifest across different spatial and temporal scales, and influence information processing capacity in the brain.
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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.