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Background: Previous studies had shown that poor quality of early parental attachment is a risk factor for suicide, but few have focus on the mechanism between suicidal ideation and parental attachment. The aim of this study was to explore how parental attachment, anhedonia, and peer attachment were associated with suicidal ideation in adolescents.Method: Participants were enrolled in middle schools, in Hefei, Anhui, China. All participants completed socio-demographic characteristic and standard assessments on parental attachment, peer attachment, anhedonia, and suicidal ideation by paper surveys. The effect of parental attachment on suicidal ideation mediated by anhedonia and peer attachment was analyzed by a structural equation model (SEM) using SPSS AMOS 23.0.Results: The SEM analysis revealed that the standard total effect of parental attachment on suicidal ideation was −0.137 (Z=−27.00, 95% confidence interval [CI; −0.147, −0.127], p<0.001), with a direct effect of parental attachment on suicidal ideation of −0.107 (Z=−21.40, 95% CI [−0.117, −0.098], p<0.001), while the indirect effects were−0.002 (Z=−3.33, 95% CI [−0.003, −0.002], p<0.001) in the pathway of parental attachment-anhedonia-peer attachment-suicidal ideation, −0.019 (Z=−19.00, 95%CI [−0.022, −0.017], p<0.001) in the pathway of parental attachment-anhedonia-suicidal ideation, and−0.008 (Z=−7.00, 95% CI [−0.010, −0.007], p<0.001) in the pathway of parental attachment-peer attachment-suicidal ideation.Conclusion: The study suggested that parental attachment could directly influence suicidal ideation and indirectly influence suicidal ideation via anhedonia and peer attachment. The results emphasized the importance of attachment in infancy and verified the feasibility of intervention on anhedonia and peer attachment to prevent suicidal ideation.

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Background: Anhedonia is a key symptom of major depressive disorder (MDD) and other psychiatric diseases. The neural basis of anhedonia has been widely examined, yet the interindividual variability in neuroimaging biomarkers underlying individualspecific symptom severity is not well understood. Methods:To establish an individualized prediction model of anhedonia, we applied connectome-based predictive modeling (CPM) to whole-brain resting-state functional connectivity profiles of MDD patients. Results:The CPM can successfully and reliably predict individual consummatory but not anticipatory anhedonia. The predictive model mainly included salience network (SN), frontoparietal network (FPN), default mode network (DMN), and motor network.Importantly, subsequent computational lesion prediction and consummatory-specific model prediction revealed that connectivity of the SN with DMN and FPN is essential and specific for the prediction of consummatory anhedonia. Conclusions:This study shows that brain functional connectivity, especially the connectivity of SN-FPN and SN-DMN, can specifically predict individualized consummatory anhedonia in MDD. These findings suggest the potential of functional connectomes for the diagnosis and prognosis of anhedonia in MDD and other disorders.