Xi-Han Zhang

This study shows that the cortical hierarchy dynamically organizes large-scale neural propagation, with a periodic timescale and adaptation to behavior and aging.

This study identifies two subtypes of psychosis using SNF, showing distinct cortical and cellular signatures linked to different clinical and neuroanatomical features.

The paper analyzes resting-state fMRI data from bipolar disorder patients across four episodes and healthy controls to identify shared and individual-specific neural patterns using edge-centric functional connectomes.

This study identifies genetic and cellular factors associated with age-related changes in white matter microstructure using GWAS and transcriptomic data from UK Biobank.

The paper develops a framework using optimal control theory to estimate brain structure-function interactions from MRI data, showing correlations between self-inhibition parameters and neural timescales across species.

This study identifies molecular and cellular asymmetries in the human brain that underpin lateralized functions like language and visuospatial attention using multimodal data integration.

This study identifies two subtypes of adolescent major depression based on sensory-association gradients, showing divergent information dynamics and clinical correlates.

The paper shows that cell type distributions in the cortex are spatially aligned with functional organization patterns from fMRI.

The paper predicts individual brain activity patterns during tasks using resting-state networks, showing task-specificity and relevance of cortical microstructure/morphology.

The paper links ventral attention network connectivity to cortical maturation and cognitive ability in children using independent datasets.

The paper shows that functional brain connectivity predicts psychiatric illness-linked behaviors differently in males and females, with shared and unique patterns across sexes.

The paper finds that higher scale-free dynamics in brain activity, measured by the Hurst exponent, correlate with greater practice-related performance improvements across three different tasks.

The paper shows that functional brain networks predict sustained attention and working memory in children and adults, with WM networks changing more from preadolescence to adulthood.