Congying Chu

This paper identifies neuroanatomical biotypes in SCA3 patients using normative modeling, finding that Biotype 2, with anterior cerebellar atrophy, shows greater response to dTMS despite more severe ataxia.

MacaSurfer provides a unified framework for automated surface-volume mapping of the macaque brain across age and sites, showing high consistency and robustness.

This study uses fMRI data to show that neural response divergence in adolescents with depression occurs in specific prefrontal regions during naturalistic experiences, linked to symptom severity and tied to narrative moments.

This study shows that both human brains and self-supervised DNNs use visual regularities to form hierarchical object representations.

This study identifies developmental differences between dorsomedial and dorsolateral prefrontal cortex using multimodal data and transcriptomics, revealing a medial-lateral topographic division.

This study maps the coupling between cortical geometry and white matter tract connectivity, showing how these aspects jointly shape brain function.

The paper trains a CNN model for brain age prediction and uses network occlusion sensitivity analysis to identify brain regions contributing to age prediction across the lifespan.

This study maps cortical connectivity shifts in neonates using diffusion MRI, identifying age-dependent changes and their implications for brain development and disorders.

This study identifies an arcuate fasciculus homolog in marmosets, showing convergent evolution with humans in connectivity patterns and vocalization-related brain activation.

This study identifies a structural connectivity pattern shared between physical activity and depressive mood using UK Biobank data, linking it to neurotransmitter receptors and pathways.

The paper identifies genetic and connectivity gradients that organize cortical patterning along three topographic axes.

The paper develops models to predict chronological age in human and macaque brains and identifies a cross-species age gap linked to behavioral performance.

The paper identifies cerebellar damage patterns in children with brainstem tumors and links them to specific behavioral disorders using segmentation and predictive modeling.

This study identifies two cortical thickness subtypes in brainstem tumor patients using normative modeling, linking them to tumor growth patterns and clinical outcomes.

The paper builds a chimpanzee brain atlas and compares connectivity patterns between humans and chimpanzees, identifying genetic correlates of connectivity divergence.

This study shows that caffeine intake during chronic sleep restriction reduces grey matter volume, with effects modulated by A1 adenosine receptor availability.

This paper develops a deep learning method for individualized thalamic parcellation using diffusion MRI, combining group atlas guidance with single-subject data to improve accuracy and reproducibility.

The paper identifies 443 network-specific genes in the human cerebellum and links their co-expression patterns to intra-cerebellar functional connectivity, revealing gene subsets related to neurodevelopment and neurotransmission.

The paper predicts functional activity from anatomical connectivity across the human cortex, revealing a hierarchy of connectivity-function relationships correlated with functional and anatomical hierarchies.

The paper reports epigenome-wide meta-analyses of blood DNA methylation with subcortical brain volumes, identifying significant associations with hippocampal volume and potential biological mechanisms.

This paper introduces a functional diversity index to quantify brain region specialization using resting-state fMRI data and intrinsic connectivity networks.

This study identifies 46 novel genetic loci associated with alcohol consumption and suggests shared genetic mechanisms with neuropsychiatric disorders using GWAS and functional analyses.