Yong He A

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

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

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 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.

This study examines neonatal brain connectome dynamics using resting-state fMRI and finds that these dynamics predict cognitive and language outcomes at age 2.

This study identifies two distinct ADHD biotypes based on brain morphology, showing different treatment responses and genetic correlates.

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.

The paper shows that a sensorimotor-to-visual connectome gradient present at birth predicts cognitive outcomes at 2 years of age in preterm and term babies.

The paper identifies two neurophysiological subtypes of MDD using normative models of functional connectivity in a large multisite fMRI dataset.

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.

This study shows that growth mindset enhances working memory development through optimized cortico-striatal network dynamics that balance flexibility and stability.

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 paper introduces a deep learning framework to harmonize multisite neuroimaging data by removing site effects while preserving biological features, showing improved performance over traditional methods.

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.

This study identifies altered brain network dynamics and associated transcriptomic signatures in autism spectrum disorder using resting-state fMRI and postmortem gene expression data from the ABIDE dataset.

The paper identifies consistent and reproducible functional connectome hubs in the human brain using meta-connectomic analysis and links them to specific transcriptomic patterns.

This study maps the structural and functional connectome of mentalizing in humans using multimodal neuroimaging data, revealing its distinct architecture and relationship with the default mode network.

The paper examines the longitudinal development of brain network dynamics during childhood and adolescence, linking changes to gene expression profiles and ion transport-related genes.

This study identifies dysfunction in the principal connectome gradient in MDD and links it to gene expression profiles related to transsynaptic signaling and calcium ion binding.

This study identifies transcriptional signatures associated with the hierarchical organization of dynamic brain networks using fMRI and gene expression data.

This study investigates reproducibility of functional brain alterations in MDD using a large multisite R-fMRI dataset and finds consistent patterns across centers but notes influences from clinical factors.

The paper creates age-appropriate structural brain atlases for Chinese children using MRI data and shows they improve brain age prediction compared to Western-based atlases.