Libo Zhang

The paper shows that higher-intensity sensory stimulation expands neural activation topography across multiple modalities, challenging the assumption of fixed neural populations.

The paper identifies replicable fMRI correlates of pain sensitivity across multiple pain types and develops a machine learning model to predict pain sensitivity and intervention outcomes.

The paper investigates how neural variability relates to pain discriminability across EEG datasets and finds it is a reliable and selective indicator.

This study identifies four genome-wide significant SNPs shared across alcoholism, heroin, and methamphetamine dependence and links them to gene expression and brain structure.