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Published on: June 13, 2025
Connectome-based mapping of gray matter abnormalities in hepatic encephalopathy
Li Chen1, Lei Xia2, Yaling Chen3
1Department of Hepatobiliary Disease, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
Frontiers in Medicine
|July 25, 2026
Summary
Gray matter abnormalities in hepatic encephalopathy (HE) are organized by structural connectivity, not brain network hubs. These changes are linked to prefrontal-centered networks, offering new insights into HE brain alterations.
Area of Science:
- Neuroscience
- Brain Imaging
- Connectomics
Background:
- Hepatic encephalopathy (HE) is associated with widespread gray matter abnormalities.
- The organization of these abnormalities within large-scale brain networks is not well understood.
Purpose of the Study:
- To investigate the spatial distribution of gray matter abnormalities in HE.
- To examine their relationship with brain network hubs, connectivity, and disease epicenters.
Main Methods:
- Cross-sectional MRI study of 45 HE patients and 45 controls.
- Analysis of cortical thickness and subcortical volumes.
- Connectome-based analyses using normative functional and structural connectomes.
Main Results:
- Widespread gray matter abnormalities in HE patients, particularly in prefrontal, motor, temporal, and limbic cortices, and basal ganglia/thalamus.
- Abnormalities did not align with normative functional or structural hubs.
- Structural neighborhood abnormalities correlated with cortical changes (r = 0.58, Pspin = 0.004).
- Functional and structural connectome epicenters identified, with prefrontal regions repeatedly implicated.
Conclusions:
- Gray matter abnormalities in HE are non-randomly organized and constrained by structural connectivity.
- Findings suggest prefrontal-centered disease epicenter networks are associated with HE brain changes.
- Provides connectome-based insights into the neurobiology of HE.
Keywords:
brain connectomedisease epicentergray matter abnormalitieshepatic encephalopathynetwork modelingstructural connectivity
