Eye-tracking during free visual exploration of familiar dramatic character faces facilitates rapid and accurate stroke recognition.

ABSTRACT:

Background

Stroke patients often experience significant impairments, making rapid and accurate detection crucial for timely intervention and early warning. However, existing diagnostic methods such as advanced neuroimaging are often time-consuming, highly dependent on operator expertise, or costly and complex to deploy, limiting their scalability in resource-restricted settings. Eye movement patterns in stroke patients present a promising opportunity for efficient detection, given their close ties to underlying neurocognitive mechanisms and potential diagnostic sensitivity. Nevertheless, the lack of a feasible task paradigm and robust detection strategy has hindered the practical application of eye movement-based stroke identification. This study aimed to capture eye movement dysfu

SUBMITTER: Lu Q 

PROVIDER: S-EPMC12816275 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature