Gray Matter Microstructural Alterations and their Correlation with Systemic Biomarkers in Hepatic Encephalopathy: A NODDI Study Using Gray-matter Based Spatial Statistics

Background Hepatic encephalopathy (HE) involves complex neurobiological changes that are often difficult to quantify using conventional MRI. This study aims to utilize Neurite Orientation Dispersion and Density Imaging (NODDI) combined with Gray-matter Based Spatial Statistics (GBSS) to characterize microstructural alterations in patients with HE and explore their relationship with clinical biochemical markers, specifically within the globus pallidus (GP). Methods Thirty-three patients with HE and 31 healthy controls underwent 3T MRI including a multi-shell diffusion protocol for NODDI. GBSS was performed to assess differences in the Neurite Density Index (NDI) and Orientation Dispersion Index (ODI). Pearson correlation analyzed relationships between GP NODDI parameters and blood biochemical indices. Results HE patients exhibited significantly decreased NDI across widespread cortical and subcortical regions (frontal, parietal, temporal, cingulate, insula, thalamus) and increased ODI in the posterior cerebellum/vermis. Crucially, the NDI of the right GP showed positive correlations with indirect bilirubin, prothrombin time, and INR (all p < 0.05), while the ODI of the left GP positively correlated with hemoglobin concentration (p = 0.046). Conclusion NODDI reveals extensive neurite loss and cerebellar disorganization in HE. The dissociated correlation patterns of GP NDI and ODI with distinct blood markers suggest a “double-hit” pathophysiological model: toxic metabolite accumulation may drive cellular swelling (increased NDI), while systemic factors like anemia may reduce structural complexity (decreased ODI). These findings highlight NODDI as a sensitive tool for monitoring the progression and metabolic impact of HE.