EEG Biomarkers for Autism: Rational, Support, and the Qualification Process

Area of Science:

• Neuroscience
• Biomarker Development
• Autism Spectrum Disorder Research

Background:

• Autism Spectrum Disorder (ASD) research increasingly utilizes electroencephalography (EEG) and event-related potential (ERP) indices.
• Global efforts focus on precision treatment for ASD by quantifying underlying biological mechanisms.
• EEG biomarkers offer a quantifiable approach to understanding ASD's complex neurobiology.

Purpose of the Study:

• To highlight the advantages, progress, and challenges in developing EEG and ERP biomarkers for ASD.
• To explore the utility of EEG indices in precision medicine for ASD.
• To review common sensory, attention, and social cognitive biomarkers in ASD.

Main Methods:

• Overview of common sensory processing and attention EEG/ERP biomarkers.
• Description of translational research examining genetic etiology across species and human subgroups.
• Analysis of human-specific social biomarkers, particularly face perception.

Main Results:

• EEG and ERP biomarkers are advancing for ASD, with applications in understanding genetic factors and social cognition.
• Face perception biomarkers show potential for informing autistic social behaviors.
• Translational examples demonstrate the utility of EEG in diverse ASD research contexts.

Conclusions:

• Significant progress has been made in EEG/ERP biomarker development for ASD.
• Challenges remain in quantification, rigor, and reproducibility for widespread clinical use.
• Future opportunities lie in combinatory, multidimensional biomarker approaches for enhanced precision in ASD.