Department of Psychology, University of South Carolina, Columbia, SC, USA.
Carolina Autism and Neurodevelopmental Research Center, University of South Carolina, Columbia, SC, USA.
Adv Neurobiol. 2024;40:545-576. doi: 10.1007/978-3-031-69491-2_19.
In this chapter, we highlight the advantages, progress, and pending challenges of developing electroencephalography (EEG) and event-related potential (ERP) biomarkers for use in autism spectrum disorder (ASD). We describe reasons why global efforts towards precision treatment in ASD are utilizing EEG indices to quantify biological mechanisms. We overview common sensory processing and attention biomarkers and provide translational examples examining the genetic etiology of autism across animal models and human subgroups. We describe human-specific social biomarkers related to face perception, a complex social cognitive process that may prove informative of autistic social behaviors. Lastly, we discuss outstanding considerations for quantifying EEG biomarkers, the challenges associated with rigor and reproducibility, contexts of future use, and propose opportunities for combinatory multidimensional biomarkers.
在本章中，我们重点介绍了开发用于自闭症谱系障碍（ASD）的脑电图（EEG）和事件相关电位（ERP）生物标志物的优势、进展和待解决的挑战。我们描述了为什么全球针对 ASD 的精准治疗努力正在利用 EEG 指标来量化生物学机制。我们综述了常见的感觉处理和注意力生物标志物，并提供了转化研究的例子，以研究自闭症在动物模型和人类亚组中的遗传病因。我们描述了与面孔感知相关的人类特异性社会生物标志物，这是一个复杂的社会认知过程，可能为自闭症的社交行为提供信息。最后，我们讨论了量化 EEG 生物标志物的突出考虑因素、与严格性和可重复性相关的挑战、未来使用的背景，并提出了组合多维生物标志物的机会。
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