ArticleMolecular autism2022
Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis.
Article in Molecular autism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06817746 (Fostering Infant Responsivity and Reciprocity - Support to Thrive. A Multisite Randomized Control Trial of a Preemptive Telehealth Intervention for Infants With Early Signs of Autism Spectrum Disorders), which is not on this map. Cited by 39 papers, 2 of them syntheses that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Fostering Infant Responsivity and Reciprocity - Support to Thrive. A Multisite Randomized Control Trial of a Preemptive Telehealth Intervention for Infants With Early Signs of Autism Spectrum Disorders
Who cites it
39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.
- Machine learning and deep learning applied to EEG and fNIRS for early autism spectrum disorder diagnosis: a systematic review.Frontiers in psychiatry · 2026Pooled it
- The development of peak alpha frequency from infancy to adolescence and its role in visual temporal processing: A meta-analysis.Developmental cognitive neuroscience · 2022Pooled it
- Exploring the Neural Mechanisms of Acupuncture Stimulation in Autism Spectrum Disorder: Protocol for a Randomized, Sham-Controlled, Multimodal Neuroimaging Trial.JMIR research protocols · 2026Article
- Dual Mechanisms of Impaired Visual Processing in Glaucoma: Insights From Resting-State and Task-Related EEG.Investigative ophthalmology & visual science · 2026Article
- Widespread Hyper-Coupling and Frequency-Specific Dysregulation of Phase-Amplitude Coupling in Young Children with Autism Spectrum Disorder.Brain sciences · 2026Article
- Atypical Resting-State EEG Graph Metrics of Network Efficiency Across Development in Autism and Their Association with Social Cognition: Results from the LEAP Study.Journal of autism and developmental disorders · 2026Article
- From Breath to Brain: NICU respiratory interventions and bedside brain signal entropy predict later autism risk.Developmental cognitive neuroscience · 2026Article
- The Emerging Role of Explainable Artificial Intelligence in EEG-Based Autism Research: A Systematic Review.NeuroSci · 2026Review
- Quantitative electroencephalography as a next-generation tool in neurodiagnostics: significance, clinical applications, and practical interpretative frameworks.Frontiers in neuroscience · 2026Review
- Diagnostic classification of children and adolescents with high-functioning autism spectrum disorder based on brain functional network characteristics of the dense individualized and common connectivity-based cortical landmark model.Frontiers in psychiatry · 2026Article
- Autism spectrum disorder disrupts brain network connectivity maturation during childhood development.Scientific reports · 2025Article
- Harnessing Trial-to-Trial Variability of EEG Spectral Characteristics to Understand Autism.Journal of autism and developmental disorders · 2025Article
- Evaluating the Severity of Autism Spectrum Disorder from EEG: A Multidisciplinary Approach Using Statistical and Artificial Intelligence Frameworks.Bioengineering (Basel, Switzerland) · 2025Article
- Benchmarking the utility of dry-electrode electroencephalography for clinical trials.Scientific reports · 2025Article
- Resting-State Electroencephalogram (EEG) as a Biomarker of Learning Disabilities in Children-A Systematic Review.Journal of clinical medicine · 2025Review
- Leveraging AI-Driven Neuroimaging Biomarkers for Early Detection and Social Function Prediction in Autism Spectrum Disorders: A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- White matter microstructure as a potential contributor to differences in resting state alpha activity between neurotypical and autistic children: a longitudinal multimodal imaging study.Molecular autism · 2025Article
- Exploring EEG resting state differences in autism: sparse findings from a large cohort.Molecular autism · 2025Article
- EEG during dynamic facial emotion processing reveals neural activity patterns associated with autistic traits in children.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Zero-phase-delay synchrony between interacting neural populations: implications for functional connectivity-derived biomarkers.Imaging neuroscience (Cambridge, Mass.) · 2025Article
Corrections and comments
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Authors and funding
27 authors at 13 institutions in 8 countries.
Funding
Abstract
backgroundUnderstanding the development of the neuronal circuitry underlying autism spectrum disorder (ASD) is critical to shed light into its etiology and for the development of treatment options. Resting state EEG provides a window into spontaneous local and long-range neuronal synchronization and has been investigated in many ASD studies, but results are inconsistent. Unbiased investigation in large and comprehensive samples focusing on replicability is needed.
methodsWe quantified resting state EEG alpha peak metrics, power spectrum (PS, 2-32 Hz) and functional connectivity (FC) in 411 children, adolescents and adults (n = 212 ASD, n = 199 neurotypicals [NT], all with IQ > 75). We performed analyses in source-space using individual head models derived from the participants' MRIs. We tested for differences in mean and variance between the ASD and NT groups for both PS and FC using linear mixed effects models accounting for age, sex, IQ and site effects. Then, we used machine learning to assess whether a multivariate combination of EEG features could better separate ASD and NT participants. All analyses were embedded within a train-validation approach (70%-30% split).
resultsIn the training dataset, we found an interaction between age and group for the reactivity to eye opening (p = .042 uncorrected), and a significant but weak multivariate ASD vs. NT classification performance for PS and FC (sensitivity 0.52-0.62, specificity 0.59-0.73). None of these findings replicated significantly in the validation dataset, although the effect size in the validation dataset overlapped with the prediction interval from the training dataset. LIMITATIONS: The statistical power to detect weak effects-of the magnitude of those found in the training dataset-in the validation dataset is small, and we cannot fully conclude on the reproducibility of the training dataset's effects.
conclusionsThis suggests that PS and FC values in ASD and NT have a strong overlap, and that differences between both groups (in both mean and variance) have, at best, a small effect size. Larger studies would be needed to investigate and replicate such potential effects.
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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.