Junle Li

Connectivity allometry is a robust organizing principle of the human functional connectome

The paper identifies connectivity allometry as a robust principle organizing the human functional connectome, showing nonlinear scaling of regional connectivity with whole-brain strength across diverse conditions and populations.

Morphological brain networks of white matter: mapping, evaluation, characterization and application

This paper develops a method to construct morphological white matter networks from MRI data, showing they are reliable, heritable, and predictive of various brain features and diseases.

A systematic evaluation of dynamic functional connectivity methods using simulation data

This study evaluates seven dynamic functional connectivity methods using simulation data, finding that enhanced versions outperform originals based on spatiotemporal association.

A Multisite and Multimodal Comparative Study of Cerebellar Connectome Between Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorders

This study compares cerebellar connectome alterations between multiple sclerosis and neuromyelitis optica spectrum disorders using multimodal MRI data from multiple sites.

Towards understanding interindividual differences in cortical morphological brain networks

This study constructs and analyzes multiplex morphological brain networks from structural MRI data to explore interindividual differences in behavioral, cognitive, and genetic contexts.