Nanbo Sun

Data-driven detection of latent atrophy factors related to phenotypical variants of posterior cortical atrophy

The paper identifies four latent atrophy factors in posterior cortical atrophy using Bayesian modeling, finding that most patients exhibit mixed profiles rather than distinct variants.

Reconciling Dimensional and Categorical Models of Autism Heterogeneity: a Brain Connectomics & Behavioral Study

The paper identifies three factors of ASD with distinct brain connectivity and symptom patterns, reconciling categorical and dimensional models of autism heterogeneity.

Somatosensory-Motor Dysconnectivity Spans Multiple Transdiagnostic Dimensions of Psychopathology

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

Multi-modal Latent Factor Exploration of Atrophy, Cognitive and Tau Heterogeneity in Alzheimer’s Disease

This paper identifies three atrophy-cognitive factors in Alzheimer’s disease using a hierarchical Bayesian model, showing they are stable across cohorts and associated with distinct Tau deposition patterns.

Global Signal Regression Strengthens Association between Resting-State Functional Connectivity and Behavior

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

Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality and Emotion

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.

Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer’s disease

This paper uses a Bayesian model to identify distinct atrophy factors in Alzheimer’s disease and links them to cognitive decline patterns.