The autistic brain can process local but not global emotion regularities in facial and musical sequences.

Xu et al. (2022) showed short clips of faces and music to autistic and neurotypical adults. The clips had two kinds of emotion changes: quick local shifts and slow global patterns.

The team measured brain waves while people watched or listened. They looked for early brain spikes that catch local changes and late waves that track global patterns.

Autistic brains caught the quick local emotion changes just like typical brains. The early brain spikes showed up on time and strong.

But the late global waves never arrived. When the clips built a longer emotional story, the ASD group showed no brain response to the overall pattern.

Deruelle et al. (2004) and Beaumont et al. (2008) already saw that autistic kids study faces piece by piece, not as a whole. Jie's ERP data now show the brain timing behind that habit.

Torelli et al. (2023) seems to disagree: they found autistic people score just as accurate on emotion tests, only slower. The key is that N et al. measured answers you can see; Jie measured hidden brain steps. Accuracy can look fine while integration still fails.

Hamama et al. (2021) used the local advantage as a tool. They paired emotion-matching music with faces and boosted recognition scores. The intact local path Jie found gives us a way in for teaching.

When you assess emotional skills, expect clients to spot single cues but miss the bigger picture. Break complex social scenes into small labeled parts first, then chain them together. Use short emotion clips or songs that repeat the same feeling to build the missing global track.