Suyu Zhong

This study introduces a deep learning framework for brain fingerprinting using fMRI data from adolescents, achieving high individual identification accuracy and linking fingerprints to cognitive and genetic factors.

The paper analyzes functional and structural MRI data from 33,250 individuals to map lifespan changes in the functional connectome, identifying key developmental stages and differences in neurological disorders.

This paper uses decoupled representation learning to analyze brain structural asymmetry, finding hemisphere-specific features linked to language and social behaviors.

The paper examines how fiber length scaling in the corpus callosum varies with brain size across two large cohorts, showing differences linked to functional lateralization, evolution, and development.