ArticleNeuroImage. Clinical2018
Attenuation of long-range temporal correlations of neuronal oscillations in young children with autism spectrum disorder.
Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Cortical Region Reporting Patterns in Neurodevelopmental Disorders: A Systematic Review of fNIRS Studies.Biosensors · 2026Pooled it
- Time-Frequency, Complexity, and Fractal Analyses of Hemoglobin and Deoxyhemoglobin Responses to Quantify Mechanisms of Actions of Cupping Therapy.Entropy (Basel, Switzerland) · 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
- Critical biomarkers for responsive deep brain stimulation and responsive focal cortex stimulation in epilepsy field.Fundamental research · 2025Article
- Heterogeneity and convergence across seven neuroimaging modalities: a review of the autism spectrum disorder literature.Frontiers in psychiatry · 2024Review
- Abnormal spectral and scale-free properties of resting-state EEG in girls with Rett syndrome.Scientific reports · 2023Article
- A Potential Biomarker of Brain Activity in Autism Spectrum Disorders: A Pilot fNIRS Study in Female Preschoolers.Brain sciences · 2023Article
- Scale-Free Dynamics in Instantaneous Alpha Frequency Fluctuations: Validation, Test-Retest Reliability and Its Relationship with Task Manipulations.Brain topography · 2023Article
- The amplitude of fNIRS hemodynamic response in the visual cortex unmasks autistic traits in typically developing children.Translational psychiatry · 2022Article
- Looking for "fNIRS Signature" in Autism Spectrum: A Systematic Review Starting From Preschoolers.Frontiers in neuroscience · 2022Review
- Altered Temporal Structure of Neural Phase Synchrony in Patients With Autism Spectrum Disorder.Frontiers in psychiatry · 2021Article
- Why Brain Criticality Is Clinically Relevant: A Scoping Review.Frontiers in neural circuits · 2020Article
- Attenuated long-range temporal correlations of electrocortical oscillations in patients with autism spectrum disorder.Developmental cognitive neuroscience · 2019Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although autism spectrum disorder (ASD) was previously found to be associated with aberrant brain structure, neuronal amplitudes and spatial neuronal interactions, surprisingly little is known about the temporal dynamics of neuronal oscillations in this disease. Here, the hemoglobin concentration signals (i.e., oxy-Hb and deoxy-Hb) of young children with ASD and typically developing (TD) children were recorded via functional near infrared spectroscopy (fNIRS) when they were watching a cartoon. The long-range temporal correlations (LRTCs) of hemoglobin concentration signals were quantified using detrended fluctuation analysis (DFA). Compared with TD group, the DFA exponents of young children with ASD were significantly smaller over left temporal region for oxy-Hb signal, and over bilateral temporo-occipital regions for deoxy-Hb signals, indicating a shift-to-randomness of brain oscillations in the children with ASD. Testing the relationship between age and DFA exponents revealed that this association could be modulated by autism. The correlation coefficients between age and DFA exponents were significantly more positive in TD group, compared to those in ASD group over several brain regions. Furthermore, the DFA exponents of oxy-Hb in left temporal region were negatively correlated with autistic symptom severity. These results suggest that the decreased DFA exponent of hemoglobin concentration signals may be one of the pathologic changes in ASD, and studying the temporal structure of brain activity via fNIRS technique may provide physiological indicators for autism.
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