ArticleHuman brain mapping2016
Enhanced brain signal variability in children with autism spectrum disorder during early childhood.
Article in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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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
27 citing papers in PubMed, 51 citations in OpenAlex.
- Atypical Age-Related Patterns of Neural Signal Complexity in Autism Spectrum Disorder.CNS neuroscience & therapeutics · 2026Article
- Linking Connectivity Dynamics to Symptom Severity and Cognitive Abilities in Children with Autism Spectrum Disorder: An FNIRS Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Infra-slow scale-free dynamics modulate the connection of neural and behavioral variability during attention.Communications biology · 2025Article
- Brain Complexity and Parametrization of Power Spectral Density in Children with Specific Language Impairment.Entropy (Basel, Switzerland) · 2025Article
- Abnormalities in brain complexity in children with autism spectrum disorder: a sleeping state functional MRI study.BMC psychiatry · 2025Article
- Identifying Distinct Developmental Patterns of Brain Complexity in Autism: A Cross-Sectional Cohort Analysis Using the Autism Brain Imaging Data Exchange.Psychiatry and clinical neurosciences · 2025Article
- Exploring EEG resting state differences in autism: sparse findings from a large cohort.Molecular autism · 2025Article
- Specific EEG resting state biomarkers in FXS and ASD.Journal of neurodevelopmental disorders · 2024Article
- Heterogeneity and convergence across seven neuroimaging modalities: a review of the autism spectrum disorder literature.Frontiers in psychiatry · 2024Review
- 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
- Enhanced temporal complexity of EEG signals in older individuals with high cognitive functions.Frontiers in neuroscience · 2022Article
- Alteration of Neural Network Activity With Aging Focusing on Temporal Complexity and Functional Connectivity Within Electroencephalography.Frontiers in aging neuroscience · 2022Article
- Differences in Performance of ASD and ADHD Subjects Facing Cognitive Loads in an Innovative Reasoning Experiment.Brain sciences · 2021Article
- Signal complexity indicators of health status in clinical EEG.Scientific reports · 2021Article
- Article
- Atypical neural processing during the execution of complex sensorimotor behavior in autism.Behavioural brain research · 2021Article
- Reciprocity and alignment: quantifying coupling in dynamic interactions.Royal Society open science · 2021Review
- Disrupted signal variability of spontaneous neural activity in children with attention-deficit/hyperactivity disorder.Biomedical optics express · 2021Article
- Deterministic characteristics of spontaneous activity detected by multi-fractal analysis in a spiking neural network with long-tailed distributions of synaptic weights.Cognitive neurodynamics · 2020Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extensive evidence shows that a core neurobiological mechanism of autism spectrum disorder (ASD) involves aberrant neural connectivity. Recent advances in the investigation of brain signal variability have yielded important information about neural network mechanisms. That information has been applied fruitfully to the assessment of aging and mental disorders. Multiscale entropy (MSE) analysis can characterize the complexity inherent in brain signal dynamics over multiple temporal scales in the dynamics of neural networks. For this investigation, we sought to characterize the magnetoencephalography (MEG) signal variability during free watching of videos without sound using MSE in 43 children with ASD and 72 typically developing controls (TD), emphasizing early childhood to older childhood: a critical period of neural network maturation. Results revealed an age-related increase of brain signal variability in a specific timescale in TD children, whereas atypical age-related alteration was observed in the ASD group. Additionally, enhanced brain signal variability was observed in children with ASD, and was confirmed particularly for younger children. In the ASD group, symptom severity was associated region-specifically and timescale-specifically with reduced brain signal variability. These results agree well with a recently reported theory of increased brain signal variability during development and aberrant neural connectivity in ASD, especially during early childhood. Results of this study suggest that MSE analytic method might serve as a useful approach for characterizing neurophysiological mechanisms of typical-developing and its alterations in ASD through the detection of MEG signal variability at multiple timescales.
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Registered trials
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.