Keywords: Brain Connectivity, fMRI (resting state), Major depressive disorder, edge-centric functional connectivity, gene expressionThis study aims to use the combination of the edge-centric functional network (eFC) model with transcribed gene datasets to explore the molecular basis of depression. In our study, we for the first time reported the correlation between eFC and transcriptional profiles in MDD patients. These findings revealed eFC phenotypes in MDD and bridged the gap between transcriptome and neuroimaging. It advanced our understanding of the neurobiological mechanism underlying depression and provided potential biomarkers for the evaluation of MDD treatment.
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