ArticleCortex; a journal devoted to the study of the nervous system and behavior2022
Electrophysiological signatures of brain aging in autism spectrum disorder.
Article in Cortex; a journal devoted to the study of the nervous system and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cognitive and Cerebral Aging Research in Autism: A Systematic Review on an Emerging Topic.Autism research : official journal of the International Society for Autism Research · 2025Pooled it
- Review
- Autism spectrum disorder across the lifespan: Dynamic symptom trajectories and multidimensional support framework.Molecular psychiatry · 2026Review
- Spatial structure based deep feature fusion network for autism spectrum disorder classification.Scientific reports · 2026Article
- Qualitative EEG abnormalities in ASD reflect inhibition-dominated brain dynamics.Scientific reports · 2026Article
- Biomarker Discovery for Autism Prediction Using Massive Feature Extraction Based on EEG Signals.Sensors (Basel, Switzerland) · 2026Article
- Explainable AI uncovers novel EEG microstate candidate neurophysiological markers for autism spectrum disorder.Frontiers in computational neuroscience · 2026Article
- Intact corticostriatal function in aged system xTranslational psychiatry · 2025Article
- Leveraging AI-Driven Neuroimaging Biomarkers for Early Detection and Social Function Prediction in Autism Spectrum Disorders: A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- TFSNet: A Time-Frequency Synergy Network Based on EEG Signals for Autism Spectrum Disorder Classification.Brain sciences · 2025Article
- State-dependent changes in peak alpha frequency during visual engagement in children with and without autism spectrum disorder.Frontiers in psychiatry · 2025Article
- Autism Spectrum Disorder in adults: an integrative review about strategies for promotion and maintenance of quality of life.Sao Paulo medical journal = Revista paulista de medicina · 2025Review
- Blurred magnitude homology of functional connectome for ASD diagnosis.Frontiers in psychiatry · 2025Article
- Rodent Models for ASD Biomarker Development.Advances in neurobiology · 2024Review
- Relationships between peak alpha frequency, age, and autistic traits in young children with and without autism spectrum disorder.Frontiers in psychiatry · 2024Article
- A scoping review of physiological biomarkers in autism.Frontiers in neuroscience · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Recent evidence suggests that structural and functional brain aging is atypical in adults with autism spectrum disorder (ASD). However, it remains unclear if oscillatory slowing, a key marker of neurophysiological aging, follows an atypical trajectory in this population. This study examines patterns of age-related oscillatory slowing in adults with ASD, captured by reductions in the brain's peak alpha frequency (PAF). Resting-state electroencephalography (EEG) data from adults (18-70 years) with ASD (N = 93) and non-ASD controls (N = 87) were pooled from three independent datasets. A robust curve-fitting procedure quantified the peak frequency of alpha oscillations (7-13 Hz) across all brain regions. Associations between PAF and age were assessed and compared between groups. Consistent with characteristic patterns of oscillatory slowing, PAF was negatively associated with age across the entire sample (p < .0001). A significant group-by-age interaction revealed that this relationship was more pronounced in adults with ASD (p < .01). These findings invite further longitudinal investigations of PAF in adults with ASD to confirm if age-related oscillatory slowing is accelerated.
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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.