This 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.
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Dong et al. (2024) studied this question.
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