Non-Helium Magnetoencephalography for Identifying Neurobiological Features and Functional Biomarkers in Children With Autism Spectrum Disorder: An Observational Cohort Study
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 80
- 试验地点
- 1
- 主要终点
- Identification of Neural Oscillation Characteristics in Children with Autism Spectrum Disorder
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 6 Years 至 12 Years（Child）
- 性别
- Male
- 接受健康志愿者
- 是
入选标准
- •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.
排除标准
- •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.
结局指标
主要结局
Identification of Neural Oscillation Characteristics in Children with Autism Spectrum Disorder
时间窗: 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.
次要结局
未报告次要终点