AI Article Synopsis
- The chapter explores the benefits and advancements in using EEG and ERP biomarkers for autism spectrum disorder (ASD), focusing on the importance of these tools in precision treatment.
- It reviews sensory processing and attention biomarkers, alongside translational research connecting genetic factors in autism through studies on both humans and animal models.
- The text also addresses the challenges in quantifying EEG biomarkers, the need for scientific rigor, and suggests potential for using multidimensional biomarkers in future research.
Article Abstract
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.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/978-3-031-69491-2_19 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!