A Multimodal Framework for Understanding Perceptual Segmentation of Natural Scenes In Autism.

ABSTRACT: Understanding how individuals segment complex natural scenes into perceptual segments is essential for explaining both typical and atypical sensory processing. In Autism Spectrum Disorder (ASD), differences in visual segmentation and integration are widely documented. However, existing paradigms often rely on simplified stimuli and do not capture the dynamic, naturalistic processes underlying real world scene segmentation. To overcome those limitations, in this work we present a novel, multimodal experimental framework. The framework combines precisely timed, trial-based perceptual measurements with electroencephalography (EEG) to examine how neural activity aligns temporally with segmentation decisions and with eyetracking to examine visual exploration strategies and attention allocation.

SUBMITTER: Williams DKA 

PROVIDER: S-EPMC12724402 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature