Lingzhong Fan

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.

The paper develops a cross-species cortical alignment framework to analyze structural connectivity and cortical expansion across primates, revealing conserved geometric patterns and human-specific expansions.

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.

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

This paper introduces a framework for optimal TMS coil placement without segmentation or meshing, validated across multiple datasets showing consistent results.

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.

The paper creates a macaque brain atlas using diffusion MRI data to map connectivity, parcellation, and histology, revealing structural differences between macaque and human brains.

BAI-Net improves individualized brain mapping by integrating topological priors and connectivity data, showing better performance than traditional clustering methods.

This paper introduces biologically-constrained graph neural networks to decode cognitive processes, revealing functional gradients from sensation to cognition and showing improved inter-subject alignment and behavioral prediction.

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.

This study uses diffusion-weighted imaging to identify structural connectivity gradients and subdivisions in the macaque insular cortex, revealing a rostrocaudal organization and significant correlations with T1w/T2w and cortical thickness maps.

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 compares structural and connectional asymmetries of the inferior parietal lobule across humans, chimpanzees, and rhesus macaques, finding humans have more widespread asymmetric connections linked to hemispheric specialization.

This study compares structural connectivity differences between human and macaque nucleus accumbens shell and core regions, finding distinct patterns in prefrontal cortex connections.

This study identifies 45 structural-functional component maps across 9 functional domains using independent component analysis in two cohorts, showing varying S-F coherence in different brain regions.

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.

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

The paper compares anatomical and functional connectivity in predicting cortical functions and finds anatomical connectivity is generally comparable but less variable across individuals.