ArticleAutism research : official journal of the International Society for Autism Research2021
Association between spectral electroencephalography power and autism risk and diagnosis in early development.
Article in Autism research : official journal of the International Society for Autism Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.
- Presymptomatic Biological, Structural, and Functional Diagnostic Biomarkers of Autism Spectrum Disorder.Journal of neurochemistry · 2025Pooled it
- The Value of Brain Imaging and Electrophysiological Testing for Early Screening of Autism Spectrum Disorder: A Systematic Review.Frontiers in neuroscience · 2021Pooled it
- Sex differences in early brain development in a multi-site ASD likelihood cohort.Frontiers in computational neuroscience · 2026Article
- The Development of Lateralized Brain Oscillations in Infants: Lessons From Autism.Developmental psychobiology · 2025Article
- Leveraging AI-Driven Neuroimaging Biomarkers for Early Detection and Social Function Prediction in Autism Spectrum Disorders: A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- Changes in Early Aperiodic EEG Activity Are Linked to Autism Diagnosis and Language Development in Infants With Family History of Autism.Autism research : official journal of the International Society for Autism Research · 2025Article
- Eye-movement artifact correction in infant EEG: A systematic comparison between ICA and Artifact Blocking.Journal of neuroscience methods · 2025Article
- Changes in early aperiodic EEG activity are linked to autism diagnosis and language development in infants with family history of autism.medRxiv : the preprint server for health sciences · 2025Article
- Accelerated Infant Brain Rhythm Maturation in Autism.Developmental science · 2025Article
- Exploring neurodevelopment through oscillatory and aperiodic EEG activity: methodological and clinical consideration.Frontiers in human neuroscience · 2025Review
- Effect of Infra Low Frequency (ILF) neurofeedback training on EEG in children with autism spectrum disorders.Pakistan journal of medical sciences · 2024Article
- EEG Functional Connectivity Analysis for the Study of the Brain Maturation in the First Year of Life.Sensors (Basel, Switzerland) · 2024Article
- EEG Biomarkers for Autism: Rational, Support, and the Qualification Process.Advances in neurobiology · 2024Review
- EEG Correlates of Cognitive Functions in a Child with ASD and White Matter Signal Abnormalities: A Case Report with Two-and-a-Half-Year Follow-Up.Diagnostics (Basel, Switzerland) · 2023Article
- Linear and Non-linear Analyses of EEG in a Group of ASD Children During Resting State Condition.Brain topography · 2023Article
- Baseline EEG in the first year of life: Preliminary insights into the development of autism spectrum disorder and language impairments.iScience · 2023Article
- A comparison of resting-state eyes-closed and dark-room alpha-band activity in children.Psychophysiology · 2023Article
- Electroencephalographic (EEG) Biomarkers in Genetic Neurodevelopmental Disorders.Journal of child neurology · 2023Review
- Aperiodic electrophysiological activity in preterm infants is linked to subsequent autism risk.Developmental psychobiology · 2022Article
- Association between spectral electroencephalography power and autism risk and diagnosis in early development.Autism research : official journal of the International Society for Autism Research · 2021Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 3 countries.
Funding
Abstract
Autism spectrum disorder (ASD) has its origins in the atypical development of brain networks. Infants who are at high familial risk for, and later diagnosed with ASD, show atypical activity in multiple electroencephalography (EEG) oscillatory measures. However, infant-sibling studies are often constrained by small sample sizes. We used the International Infant EEG Data Integration Platform, a multi-site dataset with 432 participants, including 222 at high-risk for ASD, from whom repeated measurements of EEG were collected between the ages of 3-36 months. We applied a latent growth curve model to test whether familial risk status predicts developmental trajectories of spectral power across the first 3 years of life, and whether these trajectories predict ASD outcome. Change in spectral EEG power in all frequency bands occurred during the first 3 years of life. Familial risk, but not a later diagnosis of ASD, was associated with reduced power at 3 months, and a steeper developmental change between 3 and 36 months in nearly all absolute power bands. ASD outcome was not associated with absolute power intercept or slope. No associations were found between risk or outcome and relative power. This study applied an analytic approach not used in previous prospective biomarker studies of ASD, which was modeled to reflect the temporal relationship between genetic susceptibility, brain development, and ASD diagnosis. Trajectories of spectral power appear to be predicted by familial risk; however, spectral power does not predict diagnostic outcome above and beyond familial risk status. Discrepancies between current results and previous studies are discussed. LAY SUMMARY: Infants with an older sibling who is diagnosed with ASD are at increased risk of developing ASD themselves. This article tested whether EEG spectral power in the first year of life can predict whether these infants did or did not develop ASD.
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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.