Autism Spectrum Disorder (ASD)
Conditions
Keywords
Autism Spectrum Disorder, Magnetoencephalography
Brief summary
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.
Interventions
DIAGNOSTIC_TESTMagnetoencephalography
Participants will undergo magnetoencephalography scan in both resting and tasking state.
Sponsors
Beijing X-Magtech Technology Limited
Guangzhou Women and Children's Medical Center
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
MALE
Age
6 Years to 12 Years
Healthy volunteers
Yes
Inclusion criteria
* 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.
Exclusion criteria
* 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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Identification of Neural Oscillation Characteristics in Children with Autism Spectrum Disorder | Baseline assessment (single time point, within 1 week of enrollment). | 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. |
Countries
China
Contacts
Primary ContactYe Song, Medical Doctor
Outcome results
None listed