Xindi Wang

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

The paper introduces the ChineseEEG dataset, a high-density EEG dataset with Chinese linguistic stimuli, for semantic alignment and neural decoding research.

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

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

The paper extends the CIVET pipeline for human MRI to process macaque brains, using the NMT template and anatomical parcellations, and reports results on 126 macaques.

The paper introduces PRIME-RE, a collaborative platform for sharing NHP neuroimaging resources, tools, and data.

The paper develops a transfer-learning U-Net model for brain extraction in non-human primates using human data, achieving better performance than traditional methods and popular MRI packages.

The paper tests if heritability of cortical structure reflects a plasticity gradient, finding that sensory areas have higher heritability than limbic/heteromodal areas.

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