Bipolar disorder (BD) is associated with impairments in facial emotion recognition (FER), affecting social functioning and quality of life. Understanding FER deficits in BD is crucial for tailoring interventions and improving treatment outcomes. This systematic review and meta-analysis aims to evaluate FER differences among individuals with BD, unaffected first-degree relatives (FDRs), and healthy controls (HCs), exploring predictors related to patient and study characteristics.

We systematically searched PubMed/MEDLINE, Scopus, EMBASE, and PsycINFO databases from inception to March 28, 2024. Random-effects meta-analyses were conducted to explore differences in accuracy and reaction time during FER identification and discrimination tasks.

A total of 100 studies were included, comprising 4920 individuals with BD (females = 56%, mean age = 34.1 ± 9.1), 676 FDRs (females = 55%, mean age = 36.1 ± 12), and 4909 HCs (females = 53.2%, mean age = 32.5 ± 9.5). Compared to HCs, adults with BD exhibited significantly lower accuracy (SMD = −0.47; 95% CIs = −0.56, −0.38) and higher reaction time (SMD = 0.57; 95%CIs = 0.33, 0.81) during facial emotion identification tasks. During facial emotion discrimination tasks, adults with BD had significantly lower accuracy than HCs (SMD = −0.59; 95%CIs = −0.78, −0.4), but similar speed. No significant differences were observed between BD and FDRs. Meta-regressions identified several predictors of FER performance, including manic symptom severity, stimulus duration, and presence of practice before task.

FER deficits appear to be a core feature of BD and require specialized, systematic assessment. Identifying these deficits may help guide interventions aimed at improving affective cognition and social outcomes in individuals with BD.

Mental disorders affect nearly 970 million people worldwide, impacting individuals and healthcare systems. Large population databases offer insights often unattainable in smaller studies, but their findings may not always generalize across diverse regions. To address this, we introduce a European cohort from Catalonia, Spain, allowing for comparisons between individuals with mental disorders and the general population.

Data were obtained from the “Programa d’analítica de dades per a la recerca i la innovació en salut” (PADRIS). The cohort included all individuals who accessed public specialized mental health services between 2015 and 2019, with retrospective follow-up extending to 2010. These individuals, referred to as cases, were matched by age, sex, and health region with controls, individuals who had no interactions with mental health services during the same period. Sociodemographic and clinical characteristics, including psychiatric diagnoses, comorbidities, smoking status, healthcare utilization, and prescribed treatments, were analyzed.

The study included 1,421,510 individuals (mean age: 41.6±22.1; 53.6% female), with 473,812 cases and 947,698 controls. Cases were more likely to be exempt from income reporting, be ever-smokers, and have musculoskeletal comorbidities. A total of 1,547,374 psychiatric diagnoses were recorded, with anxiety (31.38%) and mood disorders (18.83%) being the most frequent. Over the follow-up, 76.2 million primary care visits and 67.1 million prescriptions were recorded.

This cohort enhances our understanding of mental health service use, diagnostic trends, and treatment patterns in Catalonia. The insights derived from this cohort have the potential to inform mental health policies, improving outcomes within and beyond the region.

There is a significant contribution of genetic factors to the etiology of bipolar disorder (BD). Unaffected first-degree relatives of patients (UR) with BD are at increased risk of developing mental disorders and may manifest cognitive impairments and alterations in brain functional and connective dynamics, akin to their affected relatives.

In this prospective longitudinal study, resting-state functional connectivity was used to explore stable and progressive markers of vulnerability i.e. abnormalities shared between UR and BD compared to healthy controls (HC) and resilience i.e. features unique to UR compared to HC and BD in full or partial remission (UR n = 72, mean age = 28.0 ± 7.2 years; HC n = 64, mean age = 30.0 ± 9.7 years; BD patients n = 91, mean age = 30.6 ± 7.7 years). Out of these, 34 UR, 48 BD, and 38 HC were investigated again following a mean time of 1.3 ± 0.4 years.

At baseline, the UR showed lower connectivity values within the default mode network (DMN), frontoparietal network, and the salience network (SN) compared to HC. This connectivity pattern in UR remained stable over the follow-up period and was not present in BD, suggesting a resilience trait. The UR further demonstrated less negative connectivity between the DMN and SN compared to HC, abnormality that remained stable over time and was also present in BD, suggesting a vulnerability marker.

Our findings indicate the coexistence of both vulnerability-related abnormalities in resting-state connectivity, as well as adaptive changes possibly promoting resilience to psychopathology in individual at familial risk.