Guoyuan Yang

SAIL aligns human vision and MLLM representations using sparse autoencoders, revealing semantic alignment along the ventral visual pathway and action-related semantics in specific brain regions.

This study identifies cortical atrophy patterns in cocaine use disorder by integrating structural connectome data with gene expression and behavioral maps, revealing key regions and biological processes involved.

This paper identifies data-driven spectral coordination modes in cortical dynamics, showing they are distinct from hierarchical gradients and reveal shared organizational patterns across scales.

The paper investigates ethnicity/race-related differences in brain functional connectivity, linking them to lifestyle factors and transcriptional patterns.

This paper uses MEG data to create cross-frequency neurophysiological gradients that represent cortical organization, showing alignment with known functional and structural axes and disruptions in Parkinson's disease.

The paper constructs individualized functional brain networks in autism using normative models and identifies language network expansion as a key deviation.

This study examines how genetic risk for bipolar disorder affects cortical thickness and network topology in adolescents using PRS and neuroimaging data from the ABCD cohort.

The paper develops and validates age- and sex-specific normative models of brain morphometry across diverse ethnoracial groups, showing high accuracy in multiple populations.

The paper evaluates factors affecting brain-age prediction models using structural neuroimaging data from 35,683 individuals, finding optimal model performance with no site harmonization, age-binning, and a sample size of over 1,600.