Shuo Chen

The paper investigates the mitochondrial response to psychological stress using salivary cf-mtDNA and brain imaging, finding associations with brain metabolites and cortical thickness.

The paper introduces CAR-NET, a framework for inferring non-coding RNA regulatory networks using transcriptomic data and curated databases, showing its effectiveness in simulations and case studies.

The paper evaluates test-retest reliability of brain imaging metrics across multiple sites and scanners, finding significant differences in reliability between scanner types.

The paper introduces a method to analyze voxel-wise genome-wide associations and identifies genetic loci influencing white matter integrity in the corpus callosum.

The paper identifies pathological claustrum activity and its influence on cognitive network processing in chronic pain patients.

The paper analyzes brain functional connectomes in 40,000 individuals to identify aging-related network changes, finding two motor-related subnetworks with age-related declines in functional connectivity.

The paper examines how APOE4 modifies the effect of plasma LDL on white matter integrity in older adults, finding a significant moderation effect.

The paper identifies synaptic connections from the claustrum to multiple cortical regions, supporting network motifs involved in cognitive control.

This paper introduces a new Mendelian Randomization method to estimate causal effects of multivariable brain imaging exposures and finds it outperforms existing methods in sensitivity, bias, and false discovery rate.

This paper introduces an adaptive dense subgraph discovery method to identify disease-related connectomic subnetworks from brain connectome data, showing improved performance in detecting schizophrenia-related subnetworks.

This study shows prolonged pain slows peak alpha frequency by reducing fast alpha power, suggesting a potential therapeutic target for pain management.

The paper uses machine learning to predict brain age from diffusion tensor imaging in schizophrenia patients and finds accelerated white matter aging is associated with cognitive deficits.

This paper introduces a novel ℓ0 graph norm shrinkage algorithm for genetic fine-mapping, demonstrating improved sensitivity and reduced false positives in identifying causal variants for nicotine dependence.

The paper evaluates vertical and horizontal pleiotropy pathways linking genetic variants, white matter integrity, and nicotine dependence using UK Biobank data.

The paper proposes a data-driven Bayesian method to select an optimal primary threshold in cluster-wise fMRI analysis, improving statistical power while controlling false discovery rate.

The paper investigates whether resting alpha frequency is a reliable biomarker for predicting sensitivity to prolonged pain in healthy individuals.

The paper develops a graph combinatorics-based method for group-level network inference to identify phenotype-related brain subnetworks associated with schizophrenia.

The paper introduces a link prediction model using ERGM with outcome misclassification to handle incomplete network data, showing improved performance on social and brain networks.