PDF(Pubmed)
Abstract：
Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by pervasive deficits in social interaction, communication impairments, and the presence of restricted and repetitive behaviors. This complex disorder is a significant public health concern due to its escalating incidence and detrimental impact on quality of life. Currently, extensive investigations are underway to identify prospective susceptibility or predictive biomarkers, employing a physiological biomarker-based framework. However, knowledge regarding physiological biomarkers in relation to Autism is sparse. We performed a scoping review to explore putative changes in physiological activities associated with behaviors in individuals with Autism. We identified studies published between January 2000 and June 2023 from online databases, and searched keywords included electroencephalography (EEG), magnetoencephalography (MEG), electrodermal activity markers (EDA), eye-tracking markers. We specifically detected social-related symptoms such as impaired social communication in ASD patients. Our results indicated that the EEG/ERP N170 signal has undergone the most rigorous testing as a potential biomarker, showing promise in identifying subgroups within ASD and displaying potential as an indicator of treatment response. By gathering current data from various physiological biomarkers, we can obtain a comprehensive understanding of the physiological profiles of individuals with ASD, offering potential for subgrouping and targeted intervention strategies.
摘要：
自闭症谱系障碍（ASD）是一种神经发育疾病，其特征是社交互动中普遍存在的缺陷，通信障碍，以及限制和重复行为的存在。这种复杂的疾病是一个重要的公共卫生问题，因为它的发病率不断上升，对生活质量产生了不利影响。目前,正在进行广泛的调查，以确定前瞻性易感性或预测性生物标志物，采用基于生理生物标志物的框架。然而,关于与自闭症相关的生理生物标志物的知识很少。我们进行了范围审查，以探索与自闭症患者行为相关的生理活动的推定变化。我们从在线数据库中确定了2000年1月至2023年6月之间发表的研究，搜索关键词包括脑电图（EEG），脑磁图（MEG），皮肤电活动标志物（EDA），眼睛跟踪标记。我们特别检测到ASD患者的社交相关症状，如社交障碍。我们的结果表明，EEG/ERPN170信号作为潜在的生物标志物进行了最严格的测试，在识别ASD中的亚组方面显示出希望，并显示出作为治疗反应指标的潜力。通过从各种生理生物标志物收集当前数据，我们可以全面了解ASD患者的生理状况，提供分组和有针对性的干预策略的潜力。
