Editorial: Cognitive-related and connectome-based biomarkers for depression: the application of state-of-the-art techniques and models to uncover

Depression, particularly major depressive disorder (MDD), is one of the key contributing to human 13 disability and suicide, with almost 800,000 for depression-related suicide per year (Moridi, Dowran & 14 Sepandi, 2021). In addition, economic burden MDD are increasing faster than ever across globe, 15 especially in unemployment, homelessness diagnostic/therapeutic costs (Greenberg et al.,16 2021; Shah al., Thus, these issues necessitate development validation low-cost, rapid, reliable, 17 interpretable biomarkers MDD. To do so, many efforts had been made probe into neuromarkers 18 from neuroimaging-related studies local neural features, which not only showed high measure 19 reliability interpretability but also provided tremendous insights neuropathological substrates 20 this psychiatric condition (Castanheira 2019). Despite promising biomarkers, connectome-based 21 architecture, conjunction state-of-the-art techniques groundbreaking conceptional models, 22 increasingly becoming a direction capture intrinsic brain pattern as novel 23 diagnostics (Gong He, 2015). 24Traditional based on strucutred interviews (i.e., Diagnostic Statistical Manual, DSM-5) 25 somewhat grounded subjective observations judgement clinicians (Vahia, 2013).