ArticleDevelopmental cognitive neuroscience2019
BOLD signal variability and complexity in children and adolescents with and without autism spectrum disorder.
Article in Developmental cognitive neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
- Transdiagnostic Profiles of BOLD Signal Variability in Autism and Schizophrenia Spectrum Disorders: Associations With Cognition and Functioning.Human brain mapping · 2026Article
- Revolutionizing Pediatric Neurophysiology With Magnetoencephalography.Psychophysiology · 2026Review
- Decreased BOLD Signal Variability in Middle-Aged and Older Adults on the Autism Spectrum.Autism research : official journal of the International Society for Autism Research · 2026Article
- Spontaneous brain regional dynamics contribute to generalizable brain-behaviour associations.Nature human behaviour · 2026Article
- The biological role of local and global fMRI BOLD signal variability in multiscale human brain organization.Nature communications · 2026Article
- The Philadelphia Theta Burst Project: A novel fMRI-guided electric field modeling dataset with reliability metrics.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Harnessing Trial-to-Trial Variability of EEG Spectral Characteristics to Understand Autism.Journal of autism and developmental disorders · 2025Article
- Abnormalities in brain complexity in children with autism spectrum disorder: a sleeping state functional MRI study.BMC psychiatry · 2025Article
- Network Mechanisms Underlying the Regional Diversity of Variance and Time Scales of the Brain's Spontaneous Activity Fluctuations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 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
- Age-related changes in brain signal variability in autism spectrum disorder.Molecular autism · 2025Article
- Extracting interpretable signatures of whole-brain dynamics through systematic comparison.PLoS computational biology · 2024Article
- Reliability of variability and complexity measures for task and task-free BOLD fMRI.Human brain mapping · 2024Article
- Extracting interpretable signatures of whole-brain dynamics through systematic comparison.bioRxiv : the preprint server for biology · 2024Article
- The biological role of local and global fMRI BOLD signal variability in human brain organization.bioRxiv : the preprint server for biology · 2023Article
- Multiscale entropy of ADHD children during resting state condition.Cognitive neurodynamics · 2023Article
- The Role of Blood Oxygen Level Dependent Signal Variability in Pediatric Neuroscience: A Systematic Review.Life (Basel, Switzerland) · 2023Review
- 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
- Simulating developmental diversity: Impact of neural stochasticity on atypical flexibility and hierarchy.Frontiers in psychiatry · 2023Article
- Brain entropy changes in classical trigeminal neuralgia.Frontiers in neurology · 2023Article
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Authors and funding
2 authors.
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Abstract
Variability of neural signaling is an important index of healthy brain functioning, as is signal complexity, which relates to information processing capacity. Alterations in variability and complexity may underlie certain brain dysfunctions. Here, resting-state fMRI was used to examine variability and complexity in children and adolescents with and without autism spectrum disorder (ASD). Variability was measured using the mean square successive difference (MSSD) of the time series, and complexity was assessed using sample entropy. A categorical approach was implemented to determine if the brain measures differed between diagnostic groups (ASD and controls). A dimensional approach was used to examine the continuum of relationships between each brain measure and behavioral severity, age, IQ, and the global efficiency (GE) of each participant's structural connectome, which reflects the structural capacity for information processing. Using the categorical approach, no significant group differences were found for neither MSSD nor entropy. The dimensional approach revealed significant positive correlations between each brain measure, GE, and age. Negative correlations were observed between each brain measure and the severity of ASD behaviors across all participants. These results reveal the nature of variability and complexity of BOLD signals in children and adolescents with and without ASD.
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