ArticleNature communications2019
Longitudinal EEG power in the first postnatal year differentiates autism outcomes.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 7 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
91 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Early Identification of Autism Using Cry Analysis: A Systematic Review and Meta-analysis of Retrospective and Prospective Studies.Journal of autism and developmental disorders · 2026Pooled it
- Presymptomatic Biological, Structural, and Functional Diagnostic Biomarkers of Autism Spectrum Disorder.Journal of neurochemistry · 2025Pooled it
- Resting-state EEG power differences in autism spectrum disorder: a systematic review and meta-analysis.Translational psychiatry · 2023Pooled it
- Autism Spectrum Disorder and auditory sensory alterations: a systematic review on the integrity of cognitive and neuronal functions related to auditory processing.Journal of neural transmission (Vienna, Austria : 1996) · 2023Pooled it
- Parent-Mediated Interventions for Infants under 24 Months at Risk for Autism Spectrum Disorder: A Systematic Review of Randomized Controlled Trials.Journal of autism and developmental disorders · 2022Pooled it
- EEG signatures of cognitive and social development of preschool children-a systematic review.PloS one · 2021Pooled it
- The Value of Brain Imaging and Electrophysiological Testing for Early Screening of Autism Spectrum Disorder: A Systematic Review.Frontiers in neuroscience · 2021Pooled it
- Excitation/inhibition balance subtypes in autism and their genetic, neural, and clinical profiles.Journal of neural transmission (Vienna, Austria : 1996) · 2026Article
- Alterations in Early Alpha-band Connectivity emerge in Infancy among children later diagnosed with Autism.medRxiv : the preprint server for health sciences · 2026Article
- Protocol and Preliminary Findings from the BrainPALS Study in Very Preterm Children: A Randomized Controlled Trial of a Digital Parenting Program.Children (Basel, Switzerland) · 2026Article
- Theta Power at 10 Months of Age Predicts Developmental Change in Language in Infants With and Without an Elevated Likelihood for Autism.Developmental science · 2026Article
- Feasibility of Large-Scale Development-Focused EEG Research in a Hospital-Based Primary Care Setting.Academic pediatrics · 2026Article
- Continuity in social communication development among school-aged siblings of autistic children.Developmental psychology · 2026Article
- Conceptualizing the substrates and sequelae of decreased sound tolerance as a developmental cascade: A pilot study.Hearing research · 2026Article
- Theta activity as a marker of cognitive development in infancy: A longitudinal study across the first two years of life.Developmental cognitive neuroscience · 2025Article
- EEG neurosubtyping of infants predicts language trajectories.Journal of neural transmission (Vienna, Austria : 1996) · 2025Article
- Evaluating the Severity of Autism Spectrum Disorder from EEG: A Multidisciplinary Approach Using Statistical and Artificial Intelligence Frameworks.Bioengineering (Basel, Switzerland) · 2025Article
- The Development of Lateralized Brain Oscillations in Infants: Lessons From Autism.Developmental psychobiology · 2025Article
- Quantitative EEG Biomarkers in the Genetic Epilepsies and Associations With Neurologic Outcomes.Neurology · 2025Article
- Leveraging AI-Driven Neuroimaging Biomarkers for Early Detection and Social Function Prediction in Autism Spectrum Disorders: A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
31 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
An aim of autism spectrum disorder (ASD) research is to identify early biomarkers that inform ASD pathophysiology and expedite detection. Brain oscillations captured in electroencephalography (EEG) are thought to be disrupted as core ASD pathophysiology. We leverage longitudinal EEG power measurements from 3 to 36 months of age in infants at low- and high-risk for ASD to test how and when power distinguishes ASD risk and diagnosis by age 3-years. Power trajectories across the first year, second year, or first three years postnatally were submitted to data-driven modeling to differentiate ASD outcomes. Power dynamics during the first postnatal year best differentiate ASD diagnoses. Delta and gamma frequency power trajectories consistently distinguish infants with ASD diagnoses from others. There is also a developmental shift across timescales towards including higher-frequency power to differentiate outcomes. These findings reveal the importance of developmental timing and trajectory in understanding pathophysiology and classifying ASD outcomes.
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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.