Yin Wang

This study systematically reviews and meta-analyzes social functioning in autism, identifying developmental patterns and domain interdependencies across 2,622 studies.

This paper introduces a deep learning framework for predicting whole-brain neural responses to naturalistic stimuli by integrating visual and linguistic features, achieving better accuracy than unimodal and static multimodal baselines.

The paper analyzes longitudinal neuroimaging data to show that global cortical entropy decreases with aging, with cohort effects and varying rates across cortical networks.

This study investigates the cerebellum's role in mentalizing using multimodal neuroimaging, finding domain-specific organization and left hemisphere lateralization in connectivity.

This study maps the structural and functional connectome of mentalizing in humans using multimodal neuroimaging data, revealing its distinct architecture and relationship with the default mode network.