Whole-brain functional network analysis is an emerging methodology for the investigation of the pathophysiology of MHE. A nonparametric statistical approach, called “network-based statistics” (NBS), has also been used in the field of connectome analysis. However, few whole-brain NBS studies have been conducted on MHE patients, which limits the further clarification of the network pathophysiology of MHE. We performed NBS analysis to identify FC changes related to MHE at the whole-brain functional connectome level and indentified two subnetworks with significant differences in FC matrices between patients and controls. Correlation analyses revealed that the PHES score was significantly positively correlated with the strength of two FCs within the first subnetwork. In summary, our findings indicate that DMN dysfunction may be one of the core issues in the pathophysiology of MHE.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords