Jingwei Li

This study identifies sleep-biopsychosocial profiles in healthy adults by linking sleep patterns to health, cognition, and lifestyle factors, revealing distinct brain network organization patterns.

The paper develops a computational tool to analyze CRISPR/Cas9-induced chromosomal rearrangements and identifies roles of DNA polymerases in deletion mechanisms and junctional repair.

This study identifies ZNF143's role in chromatin looping and 3D genome organization by showing its directional recognition of genomic sites and collaboration with CTCF.

This study investigates the relationship between prediction accuracy and feature importance reliability in neuroimaging data, showing that feature importance reliability can be high with sufficient sample size and is positively correlated with prediction accuracy.

This study compares the ability of anatomical, diffusion, and functional MRI to predict individual behavioral measures, finding that functional connectivity provides the best predictions, especially for cognition.

The paper shows lifespan changes in global signal topography in the human brain, with distinct patterns in subcortical and cortical regions, suggesting a dual-layer model of the signal.

This study shows that global signal fluctuation and functional connectivity in resting-state fMRI decrease throughout the day, contrary to expectations based on circadian arousal patterns.

This study identifies convergent molecular, cellular, and neural signatures of major depressive disorder across multiple datasets and modalities.

The paper identifies three latent components of psychopathology linked to whole-brain resting-state functional connectivity across healthy and psychiatric populations.

This study finds that global signal regression enhances the association between resting-state functional connectivity and behavioral measures in young healthy adults.

The paper improves behavioral prediction by removing common resting-state fMRI signals from individual-specific subspaces, resulting in an 11.7% average improvement across 58 behavioral measures.

The paper shows that CTCF-binding sites act as enhancer-blocking insulators and that tandem arrays of these sites balance promoter usage in gene clusters.

This paper evaluates methods for mapping between MNI152/Colin27 and fsaverage coordinate systems, finding that registration fusion with ANTs performs best for new subjects.

This study introduces a hierarchical Bayesian model to estimate individual-specific cortical networks and shows that their topography can predict human behavior with moderate accuracy.