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COVID-19 was declared a pandemic in March 2020, resulting in many countries worldwide calling for lockdowns. This study aimed to review the existing literature on the effects of the lockdown measures established as a response to the COVID-19 pandemic on the mental health of children and adolescents. Embase, Ovid, Global Health, PsycINFO, Web of Science, and pre-print databases were searched in this PRISMA-compliant systematic review (PROSPERO: CRD42021225604). We included individual studies reporting on a wide range of mental health outcomes, including risk and protective factors, conducted in children and adolescents (aged ≤ 19 years), exposed to COVID-19 lockdown. Data extraction and quality appraisal were conducted by independent researchers, and results were synthesised by core themes. 61 articles with 54,999 children and adolescents were included (mean age = 11.3 years, 49.7% female). Anxiety symptoms and depression symptoms were common in the included studies and ranged 1.8–49.5% and 2.2–63.8%, respectively. Irritability (range = 16.7–73.2%) and anger (range = 30.0–51.3%), were also frequently reported by children and adolescents. Special needs and the presence of mental disorders before the lockdown, alongside excessive media exposure, were significant risk factors for anxiety. Parent–child communication was protective for anxiety and depression. The COVID-19 lockdown has resulted in psychological distress and highlighted vulnerable groups such as those with previous or current mental health difficulties. Supporting the mental health needs of children and adolescents at risk is key. Clinical guidelines to alleviate the negative effects of COVID-19 lockdown and public health strategies to support this population need to be developed.

Survey of postzygotic mosaic mutations (PZMs) in 5,947 trios with autism spectrum disorders (ASD) discovers differences in mutational properties between germline mutations and PZMs. Spatiotemporal analyses of the PZMs also revealed the association of the amygdala with ASD and implicated risk genes, including recurrent potential gain-of-function mutations in SMARCA4 . We systematically analyzed postzygotic mutations (PZMs) in whole-exome sequences from the largest collection of trios (5,947) with autism spectrum disorder (ASD) available, including 282 unpublished trios, and performed resequencing using multiple independent technologies. We identified 7.5% of de novo mutations as PZMs, 83.3% of which were not described in previous studies. Damaging, nonsynonymous PZMs within critical exons of prenatally expressed genes were more common in ASD probands than controls ( P < 1 × 10 −6 ), and genes carrying these PZMs were enriched for expression in the amygdala ( P = 5.4 × 10 −3 ). Two genes ( KLF16 and MSANTD2 ) were significantly enriched for PZMs genome-wide, and other PZMs involved genes ( SCN2A , HNRNPU and SMARCA4 ) whose mutation is known to cause ASD or other neurodevelopmental disorders. PZMs constitute a significant proportion of de novo mutations and contribute importantly to ASD risk.

Despite mixed findings, increasing evidence suggests that people with first-episode psychosis (FEP) show increased pro-inflammatory and pro-oxidative status. We used the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines to conduct a systematic literature search of cross-sectional studies comparing in vivo inflammatory and oxidative blood markers between FEP patients and healthy controls. We analyzed 61 independent samples from 59 publications, including 3002 patients with FEP (ie, patients with FEP, early psychosis, first-episode schizophrenia or early schizophrenia) and 2806 controls. After controlling for multiple comparisons, our meta-analysis showed that total antioxidant status and docosahexaenoic acid levels were significantly lower in FEP patients than in controls, whereas levels of homocysteine, interleukin-6 and tumor necrosis factor alpha were significantly higher in FEP patients than in controls. This suggests that FEP patients had reduced antioxidant status and a pro-inflammatory imbalance, and that these biological processes may be targets for managing FEP.

Previous research suggests an association of loneliness and social isolation (LNL-ISO) with schizophrenia. Here, we demonstrate a LNL-ISO polygenic score contribution to schizophrenia risk in an independent case-control sample (N = 3,488). We then subset schizophrenia predisposing variation based on its effect on LNL-ISO. We find that genetic variation with concordant effects in both phenotypes shows significant SNP-based heritability enrichment, higher polygenic contribution in females, and positive covariance with mental disorders such as depression, anxiety, attention-deficit hyperactivity disorder, alcohol dependence, and autism. Conversely, genetic variation with discordant effects only contributes to schizophrenia risk in males and is negatively correlated with those disorders. Mendelian randomization analyses demonstrate a plausible bi-directional causal relationship between LNL-ISO and schizophrenia, with a greater effect of LNL-ISO liability on schizophrenia than vice versa. These results illustrate the genetic footprint of LNL-ISO on schizophrenia.

This network meta-analysis assessed the efficacy and tolerability of lurasidone versus other oral atypical antipsychotic monotherapies in adolescent schizophrenia. A systematic literature review identified 13 randomized controlled trials of antipsychotics in adolescents with schizophrenia-spectrum disorders. A Bayesian network meta-analysis compared lurasidone to aripiprazole, asenapine, clozapine, olanzapine, paliperidone extended-release (ER), quetiapine, risperidone, and ziprasidone. Outcomes included Positive and Negative Syndrome Scale (PANSS), Clinical Global Impressions-Severity (CGI-S), weight gain, all-cause discontinuation, extrapyramidal symptoms (EPS), and akathisia. Results were reported as median differences for continuous outcomes and odds ratios (ORs) for binary outcomes, along with 95% credible intervals (95% CrI). Lurasidone was significantly more efficacious than placebo on the PANSS (− 7.95, 95% CrI − 11.76 to − 4.16) and CGI-S (− 0.44, 95% CrI − 0.67 to − 0.22) scores. Lurasidone was associated with similar weight gain to placebo and statistically significantly less weight gain versus olanzapine (− 3.62 kg, 95% CrI − 4.84 kg to − 2.41 kg), quetiapine (− 2.13 kg, 95% CrI − 3.20 kg to − 1.08 kg), risperidone (− 1.16 kg, 95% CrI − 2.14 kg to − 0.17 kg), asenapine (− 0.98 kg, 95% CrI − 1.71 kg to − 0.24 kg), and paliperidone ER (− 0.85 kg, 95% CrI − 1.57 kg to − 0.14 kg). The odds of all-cause discontinuation were significantly lower for lurasidone than aripiprazole (OR = 0.28, 95% CrI 0.10–0.76) and paliperidone ER (OR = 0.25, 95% CrI 0.08–0.81) and comparable to other antipsychotics. Rates of EPS and akathisia were similar for lurasidone and other atypical antipsychotics. In this network meta-analysis of atypical antipsychotics in adolescent schizophrenia, lurasidone was associated with similar efficacy, less weight gain, and lower risk of all-cause discontinuation compared to other oral atypical antipsychotics.

Numerous risk factors for mental disorders have been identified. However, we do not know how many disorders we could prevent and to what extent by modifying these risk factors. This study quantifies the Population Attributable Fraction (PAF) of potentially modifiable risk factors for mental disorders. We conducted a PRISMA 2020-compliant (Protocol: https://osf.io/hk2ag) meta-umbrella systematic review (Web of Science/PubMed/Cochrane Central Register of Reviews/Ovid/PsycINFO, until 05/12/2021) of umbrella reviews reporting associations between potentially modifiable risk factors and ICD/DSM mental disorders, restricted to highly convincing (class I) and convincing (class II) evidence from prospective cohorts. The primary outcome was the global meta-analytical PAF, complemented by sensitivity analyses across different settings, the meta-analytical Generalised Impact Fraction (GIF), and study quality assessment (AMSTAR). Seven umbrella reviews (including 295 meta-analyses and 547 associations) identified 28 class I–II risk associations (23 risk factors; AMSTAR: 45.0% high-, 35.0% medium-, 20.0% low quality). The largest global PAFs not confounded by indication were 37.84% (95% CI = 26.77–48.40%) for childhood adversities and schizophrenia spectrum disorders, 24.76% (95% CI = 13.98–36.49%) for tobacco smoking and opioid use disorders, 17.88% (95% CI = not available) for job strain and depression, 14.60% (95% CI = 9.46–20.52%) for insufficient physical activity and Alzheimer’s disease, 13.40% (95% CI = 7.75–20.15%) for childhood sexual abuse and depressive disorders, 12.37% (95% CI = 5.37–25.34%) for clinical high-risk state for psychosis and any non-organic psychotic disorders, 10.00% (95% CI = 5.62–15.95%) for three metabolic factors and depression, 9.73% (95% CI = 4.50–17.30%) for cannabis use and schizophrenia spectrum disorders, and 9.30% (95% CI = 7.36–11.38%) for maternal pre-pregnancy obesity and ADHD. The GIFs confirmed the preventive capacity for these factors. Addressing several potentially modifiable risk factors, particularly childhood adversities, can reduce the global population-level incidence of mental disorders.

Human brain structure changes throughout the lifespan. Altered brain growth or rates of decline are implicated in a vast range of psychiatric, developmental and neurodegenerative diseases. In this study, we identified common genetic variants that affect rates of brain growth or atrophy in what is, to our knowledge, the first genome-wide association meta-analysis of changes in brain morphology across the lifespan. Longitudinal magnetic resonance imaging data from 15,640 individuals were used to compute rates of change for 15 brain structures. The most robustly identified genes GPR139 , DACH1 and APOE are associated with metabolic processes. We demonstrate global genetic overlap with depression, schizophrenia, cognitive functioning, insomnia, height, body mass index and smoking. Gene set findings implicate both early brain development and neurodegenerative processes in the rates of brain changes. Identifying variants involved in structural brain changes may help to determine biological pathways underlying optimal and dysfunctional brain development and aging. Human brain structure changes throughout the lifespan. Brouwer et al. identified genetic variants that affect rates of brain growth and atrophy. The genes are linked to early brain development and neurodegeneration and suggest involvement of metabolic processes.

Psychosocial interventions are recommended in schizophrenia and first-episode psychosis/early psychosis (EP). Nevertheless, literature is heterogeneous and often contradictory. We conducted an umbrella review of (network) meta-analyses of randomized controlled trials (RCTs) comparing psychosocial interventions vs treatment as usual (TAU)/active interventions(ACTIVE)/MIXED controls. Primary outcome was total symptoms (TS); secondary outcomes were positive/negative/depressive symptoms (PS/NS/DS), cognition, functioning, relapse, hospitalization, quality of life (QoL), treatment discontinuation. Standardized mean difference (SMD)/odds ratio (OR)/risk ratio (RR) vs TAU/ACTIVE/MIXED were summarized at end-of-treatment (EoT)/follow-up (FU). Quality was rated as high/medium/low (AMSTAR-PLUS). Eighty-three meta-analyses were included (RCTs = 1246; n  = 84,925). Against TAU, regarding TS, Early Intervention Services (EIS) were superior EoT/FU in EP (SMD = −0.32/−0.21), cognitive behavioral therapy (CBT) in schizophrenia EoT/FU (SMD = −0.38/−0.19). Regarding secondary outcomes, in EP, EIS were superior for all outcomes EoT except cognition, and at FU for PS/NS/QoL, specific family interventions (FI-s) prevented relapse EoT; in schizophrenia, superiority emerged EoT for CBT for PS/NS/relapse/functioning/QoL; psychoeducation (EDU)/any FI for relapse; cognitive remediation therapy (CRT) for cognition/functioning; and hallucination-focused integrative treatment for PS. Against ACTIVE, in EP, mixed family interventions (FI-m) were superior at FU regarding TS (SMD = −0.61) and for functioning/relapse among secondary outcomes. In schizophrenia, regarding TS, mindfulness and social skills training (SST) were superior EoT, CBT at FU; regarding secondary outcomes superiority emerged at EoT for computerized cognitive drill-and-practice training for PS/DS, CRT for cognition/functioning, EDU for relapse, individual placement and support (IPS) for employment; and at FU CBT for PS/NS. Against MIXED, in schizophrenia, CRT/EDU were superior for TS EoT (d = −0.14/SMD = −0.33), CRT regarding secondary outcomes EoT for DS/social functioning, both EoT/FU for NS/cognition/global functioning; compensatory cognitive interventions for PS/functioning EoT/FU and NS EoT; CBT for PS at FU, and EDU/SST for relapse EoT. In conclusion, mental health services should consider prioritizing EIS/any FI in EP and CBT/CRT/any FI/IPS for schizophrenia, but other interventions may be helpful for specific outcomes.

Altered structural brain asymmetry in autism spectrum disorder (ASD) has been reported. However, findings have been inconsistent, likely due to limited sample sizes. Here we investigated 1,774 individuals with ASD and 1,809 controls, from 54 independent data sets of the ENIGMA consortium. ASD was significantly associated with alterations of cortical thickness asymmetry in mostly medial frontal, orbitofrontal, cingulate and inferior temporal areas, and also with asymmetry of orbitofrontal surface area. These differences generally involved reduced asymmetry in individuals with ASD compared to controls. Furthermore, putamen volume asymmetry was significantly increased in ASD. The largest case-control effect size was Cohen's d = −0.13, for asymmetry of superior frontal cortical thickness. Most effects did not depend on age, sex, IQ, severity or medication use. Altered lateralized neurodevelopment may therefore be a feature of ASD, affecting widespread brain regions with diverse functions. Large-scale analysis was necessary to quantify subtle alterations of brain structural asymmetry in ASD.