About this trial
The goal of this observational study is to learn how brain activity in children with autism spectrum disorder (ASD) differs from typical developing children using magnetoencephalography (MEG).
The main questions this study aims to answer are:
Do children with ASD show different patterns of neural oscillation compared to typically developing children? Can MEG identify specific brain features that help ASD diagnosis?
Participants will undergo MEG scan in both resting and tasking state, and their brain activity will be analyzed for characteristic neural oscillations and connectivity patterns.
This study may help develop better tools for early ASD diagnosis.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Boys aged 6 to 12 years;
Diagnosis of Autism Spectrum Disorder meeting DSM-5 criteria;
Intelligence quotient (IQ) score > 70 (assessed via Wechsler Intelligence Scale for Children or other validated cognitive test);
Sufficient compliance to participate in MEG experiments.
Disqualifiers
Comorbid neurological disorders, genetic syndromes, or severe developmental disabilities;
Metallic implants that may interfere with MEG signal acquisition;
Current use of antipsychotic medications or sedatives.
Trial population
Pediatric patients of Guangzhou Women and Children's Medical Center
Trial design
Cohort
Prospective
Treatments tested in this trial
Magnetoencephalography
Diagnostic testParticipants will undergo magnetoencephalography scan in both resting and tasking state.
Treatment groups
Trial outcomes
Primary outcomes
Identification of Neural Oscillation Characteristics in Children with Autism Spectrum Disorder
The primary outcome will measure group differences in neural oscillation features (e.g., spectral power and spatial distribution) across frequency bands (alpha, beta, gamma) between children with Autism Spectrum Disorder and typically developing children during resting-state and task-based conditions. Quantified using time-frequency analysis of magnetoencephalography data. Statistical analysis will include independent t-tests (or Mann-Whitney U tests for non-normally distributed data) with false discovery rate (FDR) correction, using SPSS version 27.0.
Sponsors and contacts
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Guangzhou Women and Children's Medical Center
Lead sponsor
Beijing X-Magtech Technology Limited
Collaborator