Weiyang Shi

This study uses fMRI data to show that neural response divergence in adolescents with depression occurs in specific prefrontal regions during naturalistic experiences, linked to symptom severity and tied to narrative moments.

This study identifies energy inefficiency as a mechanism underlying brain state dysregulation in major depressive disorder, linking it to specific brain regions and biological factors.

This study identifies developmental differences between dorsomedial and dorsolateral prefrontal cortex using multimodal data and transcriptomics, revealing a medial-lateral topographic division.

This study identifies a structural connectivity pattern shared between physical activity and depressive mood using UK Biobank data, linking it to neurotransmitter receptors and pathways.

The paper identifies genetic and connectivity gradients that organize cortical patterning along three topographic axes.

The paper creates a macaque brain atlas using diffusion MRI data to map connectivity, parcellation, and histology, revealing structural differences between macaque and human brains.

BAI-Net improves individualized brain mapping by integrating topological priors and connectivity data, showing better performance than traditional clustering methods.

This study identifies sexually dimorphic transcriptomes in mouse β cells and sex-dependent type 2 diabetes genes using scRNA-seq, highlighting sex differences in diabetes pathogenesis.