Lianglong Sun

The paper identifies two distinct ADHD biotypes using brain imaging and transcriptomic data, showing different developmental, molecular, and treatment responses.

This paper constructs sex-specific lifespan brain charts using neuroimaging data from 59,915 individuals, revealing dynamic sex differences in brain development and improving detection of neuropsychiatric abnormalities.

This study identifies two distinct T2D biotypes using cortical network analysis, showing different brain-metabolic coupling patterns and cognitive consequences.

The paper quantifies spatiotemporal variability in functional parcellation and connectivity across development, finding distinct developmental trajectories and associations with brain structure and cognition.

This paper identifies a tripartite organization of the human ventromedial prefrontal cortex using multimodal analyses and shows its reproducibility and cross-species correspondence.

This paper introduces FOCA, a framework to analyze spatial coordination of functional brain networks, revealing convergent and divergent patterns and their developmental origins.

The paper maps personalized functional topography in the neonatal human brain using neuroimaging data and links it to neurocognitive outcomes in early childhood.

The paper develops population-specific brain charts for Chinese individuals, revealing distinct neurodevelopmental patterns compared to Western populations and showing better performance in predicting brain phenotypes.

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 study investigates how multiscale structural brain gradients develop from childhood to adolescence and links these changes to cortical morphology and functional specialization.

This study investigates how overlapping functional modules in the developing human brain change with age and their structural correlates using multimodal MRI data.

The paper maps cortical thinning patterns during childhood to adolescence, showing they are structurally constrained by white matter networks and linked to gene expression signatures.

The paper models the interdependent structural and functional connectome in the human brain, finding topographic heterogeneity and cognitive significance.

This paper identifies a dual long-axis organization in the human hippocampus during youth, showing its role in cortical hierarchy maturation and functional reorganization.

SACNet corrects susceptibility artifacts in dMRI scans using a registration network with neuroanatomical constraints, showing improved performance across diverse datasets.

This paper introduces 3D-MASNet, a 3D mixed-scale asymmetric convolutional network for segmenting infant brain MR images, achieving high Dice coefficients in GM, WM, and CSF.

The paper investigates how structural and functional brain connectome variability are structurally constrained and finds a hierarchical relationship between primary and heteromodal brain regions.

This study tracks the development of a primary-to-transmodal gradient in the brain from childhood to adolescence, linking it to cognitive functions and gene expression.