Objective Lockdown policies during COVID-19 pandemic have potential adverse psychological impacts on youth. However, little is known about their influence on the changes of psychotic-like experiences (PLEs) among adolescents, nor about the possible association between changes in PLEs and changes in anxiety/depression symptoms. We investigated these two questions through a longitudinal comparative study. Methods In total, 1825 adolescents were surveyed before COVID-19 and after the lockdown in China (T0, October 20th, 2019 and T1, May 18th, 2020). PLEs, anxiety, and depression were measured with paranoia, anxiety and depression subscales of the Mental Health Inventory of Middle school students (MMHI-60). Within-subjects Wilcoxon test, Spearman correlation test, and Kruskal-Wallis test were adopted. Results Significant increase in adolescent PLEs scores was observed after the lockdown (Wilcoxon's w = 9.302, p < 0.001). We also found positive correlation between changes of PLEs and changes of anxiety/depression (Spearman's rho = 0.59/0.53, both p < 0.001). Furthermore, four PLEs trajectories were identified based on the report of PLEs at two timepoints: 60.4% with no PLEs, 9.3% remitted PLEs, 16.7% new PLEs, and 13.6% persistent PLEs. Significant difference was found in changes of anxiety/depression among four groups (p < 0.001); notably, the group with new-onset PLEs had the greatest exacerbation in anxiety/depression symptoms (both p Bonferroni <0.001). Conclusions This work is the first to identify increases in adolescent PLEs across the COVID-19 pandemic and suggested a close longitudinal association between PLEs and anxiety/depression. Our findings have implications for adolescent mental health crisis interventions during the pandemic.

Background The COVID-19 pandemic has increased psychological stress among adolescents, and the relation between perceived stress (PS) and psychotic-like experiences (PLEs) has been well-established. However, little is known about the role of family functioning (FF) in this relation, especially when adolescents experienced the extended lockdown period with family members. Methods A total of 4807 adolescents completed this retrospective paper-and-pencil survey after school reopening between May 14th and June 6th, 2020 in Hunan Province, China. We measured PS with the Perceived stress scale (PSS-10), PLEs with the eight positive items from Community Assessment of Psychic Experiences (CAPE-8), and FF with the Family APGAR scale. We conducted subgroup analysis based on three FF levels (good, moderate, and poor) determined by previous studies. Finally, correlation and moderation analysis were performed to detect the effect of FF in the relation between PS and PLEs after adjusting for demographic variables. Results Adolescents with poor FF had higher levels of PS and higher prevalence of PLEs compared to those with good FF (both p < 0.001). FF was negatively associated with both PS ( r = −0.34, p < 0.001) and PLEs ( r = −0.29, p < 0.001). Higher FF significantly attenuated the effect of PS on PLEs after adjusting for sex and age (effect = −0.011, bootstrap 95% CI -0.018, −0.005). Conclusion Our findings indicate that well-functioned family could protect against stress-induced PLEs among adolescents during this crisis. Thus family system could be an early interventional target for distressing psychotic-like experiences in youngsters.

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Background: Working-memory deficit is associated with aberrant degree distribution of the brain connectome in schizophrenia. However, the brain neural mechanism underlying the degree redistribution pattern in schizophrenia is still uncertain. Methods: We examined the functional degree distribution of the connectome in 81 patients with schizophrenia and 77 healthy controls across different workingmemory loads during an n-back task. We tested the associations between altered degree distribution and clinical symptoms, and we conducted functional connectivity analyses to investigate the neural mechanism underlying altered degree distribution. We repeated these analyses in a second independent data set of 96 participants. In the second data set, we employed machine-learning analysis to study whether the degree distribution pattern of one data set could be used to discriminate between patients with schizophrenia and controls in the other data set. Results: Patients with schizophrenia showed decreased centrality in the dorsal posterior cingulate cortex (dPCC) for the "2-back versus 0-back" contrast compared to healthy controls. The dPCC centrality pattern across all working-memory loads was an inverted U shape, with a left shift of this pattern in patients with schizophrenia. This reduced centrality was correlated with the severity of delusions and related to reduced functional connectivity between the dPCC and the dorsal precuneus. We replicated these results with the second data set, and the machine-learning analyses achieved an accuracy level of 71%. Limitations: We used a limited n-back paradigm that precluded the examination of higher working-memory loads. Conclusion: Schizophrenia is characterized by a load-dependent reduction of centrality in the dPCC, related to the severity of delusions. We suggest that restoring dPCC centrality in the presence of cognitive demands might have a therapeutic effect on persistent delusions in people with schizophrenia.