Brain-age prediction: Systematic evaluation of site effects, and sample age range and size.

Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain-age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain-age has highlighted the need for robust and publicly available brain-age models pre-trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain-age model. Here we expand this work to develop, empirically validate, and disseminate a pre-trained brain-age model to cover most of the human lifespan. To achieve this, we selected the best-performing model after systematically examining the impact of seven site harmonization strategies, age range, and sample size on brain-age prediction in a discovery sample of brain morphometric measures from 35,683 healthy individuals (age range: 5-90 years; 53.59% female). The pre-trained models were tested for cross-dataset generalizability in an independent sample comprising 2101 healthy individuals (age range: 8-80 years; 55.35% female) and for longitudinal consistency in a further sample comprising 377 healthy individuals (age range: 9-25 years; 49.87% female). This empirical examination yielded the following findings: (1) the accuracy of age prediction from morphometry data was higher when no site harmonization was applied; (2) dividing the discovery sample into two age-bins (5-40 and 40-90 years) provided a better balance between model accuracy and explained age variance than other alternatives; (3) model accuracy for brain-age prediction plateaued at a sample size exceeding 1600 participants. These findings have been incorporated into CentileBrain (https://centilebrain.org/#/brainAGE2), an open-science, web-based platform for individualized neuroimaging metrics.

Family accommodation in obsessive-compulsive disorder: An updated systematic review and meta-analysis.

Family accommodation might play a crucial role in obsessive-compulsive disorder (OCD). Previous systematic reviews on family accommodation in OCD have focused on specific populations or variables or are outdated. We conducted a preregistered systematic review and meta-analysis on family accommodation in adults, children, and adolescents with OCD (CRD42021264461). We searched PubMed, Scopus, and Web of Science using the keywords "family accommodation" and "obsessive-compulsive disorder. One hundred-eight studies involving 8928 individuals with OCD were included. Our results indicate that levels of family accommodation in OCD are moderate, that there is a significant positive correlation between family accommodation and OCD severity (r = 0.42), that baseline family accommodation does not predict pre- to post-treatment change in OCD severity (g = -0.03), and that family accommodation decreases as a result of both individual and family-focused cognitive behavioral therapy for OCD (g = 2.00 and g = 1.17, respectively). Our findings highlight the relevance of family accommodation in OCD and may help guide assessment and treatment.

Upward trends in eating disorders, self-harm, and suicide attempt emergency admissions in female adolescents after COVID-19 lockdown.

INTRODUCTION: Increased mental health problems have been reported in children and adolescents related to the COVID-19 lockdown and its immediate aftermath, especially among adolescent females. However, the longer-term impact of persistent quarantine measures and social restrictions on this population is yet to be further explored. MATERIALS AND METHODS: We compared the number of children/adolescents admissions to the psychiatric emergency department (ED) of Hospital Clínic de Barcelona during the COVID-19 lockdown and the following year with the numbers of admissions the year before lockdown, adjusting for variations in the population. We also conducted separate analyses by gender, age group, and diagnostic categories. Finally, we also repeated the analyses considering the cumulated deficit/excess since the start of the lockdown. Statistical significance was estimated using binomial tests with Bonferroni correction. RESULTS: A total of 2425 admissions were recorded. Globally, admission rates decreased during the lockdown (46%) and progressively increased during the one-year aftermath (43% by spring 2021). This increase was particularly high in adolescent females (85%) while unclear in children and/or males. The main diagnostic categories involved were anxiety, depressive, and eating disorders, as well as self-harm behavior, suicidal ideation, and suicide attempts. The increase in eating disorders, self-harm behavior, and suicide attempts admissions in female adolescents remained statistically significant when considering the cumulated deficit/excess. CONCLUSIONS: We found increased ED admissions during the aftermath of the COVID-19 lockdown among adolescent females. We recommend strengthening the attention to this population to provide adequate specialized care and prevention strategies.