Event related potentials in the understanding of autism spectrum disorders: an analytical review.

The authors read every ERP study on autism up to 2009. They looked at how autistic brains react to sounds, pictures, and faces. They wanted to see if these brain waves could act as early warning signs.

The review pulled data from kids and adults with autism. No new tests were run. The team simply compared patterns across many labs.

Autistic brains showed clear, repeatable differences in three areas. First, sound responses were slower and smaller. Second, picture processing missed key details. Third, face cues triggered weaker social brain signals.

These ERP markers were stable across ages and IQ levels. That means they could serve as solid red flags before full symptoms appear.

Iosa et al. (2012) used PET scans and found high blood flow in limbic and cerebellar areas. This seems to clash with the ERP data, but the two tools measure different things. ERPs catch split-second timing issues. PET shows resting blood flow. Together they map both speed and fuel use.

Camodeca et al. (2020) reviewed brain lateralisation and linked language gaps to atypical wiring. The ERP review adds that these wiring gaps show up as tiny delays in sound and face tasks. The papers stack, not compete.

Huang et al. (2020) showed adult diagnosis is messy and emotional. The ERP findings hint at a fix: quick brain tests could give adults objective proof, cutting the long, stressful wait.

You can ask your local EEG lab to add a 15-minute ERP panel for kids with social delays. Look for the three red-flag patterns: small sound waves, weak face responses, and slow picture tagging. Early, objective data helps you start ABA sooner and track progress with hard numbers, not just parent reports.