Yuheng Lu

Anatomical connectivity profile development constrains medial-lateral topography in the dorsal prefrontal cortex

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

Evolutionary Convergence of the Arcuate Fasciculus in Marmosets and Humans

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

Physical Activity and Depressive Mood Shared the Structural Connectivity between Motor and Reward Network: a population-based study from the UK Biobank

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.

Converging Topographic Axes of Connectivity and Genetic Architectures Scaffold Cortical Patterning

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

TS-AI: A deep learning pipeline for multimodal subject-specific parcellation with task contrasts synthesis

TS-AI synthesizes task contrast maps and uses deep learning to individualize brain parcellation without requiring actual task fMRI scans, showing improved reliability and clinical relevance.

Comparative Analysis of Human-Chimpanzee Divergence in Brain Connectivity and its Genetic Correlates

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

Macaque Brainnetome Atlas: A Multifaceted Brain Map with Parcellation, Connection, and Histology

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: Individualized Anatomical Human Cerebral Cartography using Graph Convolutional Network

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

Structural connectivity gradient associated with a dichotomy reveals the topographic organization of the macaque insular cortex

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.

High-resolution in vivo identification of miRNA targets by Halo-Enhanced Ago2 Pulldown

This paper introduces a method to identify miRNA targets in vivo using Halo-Enhanced Ago2 Pulldown and demonstrates its application in mouse models.

BindSpace: decoding transcription factor binding signals by large-scale joint embedding

BindSpace is a model that embeds DNA sequences and TF labels into a shared space, achieving state-of-the-art binding prediction for hundreds of TFs.