Tianzi Jiang

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 identifies energy inefficiency as a mechanism underlying brain state dysregulation in major depressive disorder, linking it to specific brain regions and biological factors.

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.

The paper creates a spatially-resolved human brain proteome atlas, revealing protein diversity and functional specialization, and identifies therapeutic targets in epilepsy.

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

The paper develops population-specific brain charts for Chinese individuals, revealing distinct neurodevelopmental patterns compared to Western populations and showing better performance in predicting brain phenotypes.

This paper demonstrates that the Digital Twin Brain can predict rTMS effects on brain state dynamics in chronic tinnitus patients with high accuracy.

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

The paper shows that neurons in the premotor cortex of macaques have position fields that encode hand position during reaching, similar to spatial representations in the hippocampus.

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.

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

This study investigates structural brain network changes in methamphetamine users during long-term abstinence and links them to craving mechanisms using network control theory and multimodal analyses.

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 a convolutional neural network with face identity recognition experience generates brain-like neural representations of personality traits, unlike networks without such experience.

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.

This paper introduces a shape-changing electrode array for minimally invasive large-scale ECoG mapping, demonstrating its biocompatibility and high-resolution brain activity recording in rodents and canines.

This paper introduces FFCM-MRF, a cerebrovascular segmentation method for humans and rhesus monkeys, showing improved accuracy and generalizability across datasets and scanners.

The paper develops a diffusion model to explain delipidation in biological sample clearing using detergents and organic solvents, showing that certain organic solvents can achieve faster clearing than detergents.

This study shows that deep brain stimulation of the medial lateral habenula in rats rapidly alleviates depressive-like symptoms and correlates with fMRI activation patterns.

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.

The paper uses machine learning and intracranial EEG to show that theta-band connectivity between hippocampus and entorhinal cortex supports working memory maintenance through specific directional patterns.

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.

The paper shows that pairwise gene interactions can predict whole-genome transcription patterns in human brain areas and the entire brain, revealing a simple structure underlying transcriptome complexity.

The paper identifies reproducible functional gradient abnormalities in schizophrenia that correlate with clinical and cognitive symptom severity using resting-state fMRI data.

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