This random-effects model meta-analysis of double-blind, randomized placebo-controlled trials compared recurrence rates in bipolar disorder (BD) patients between antipsychotic/mood stabilizer discontinuation and maintenance groups.

We conducted systematic literature search of Embase, PubMed, and CENTRAL databases without language restriction from inception until 22 May 2020. Independent investigators assessed studies and extracted data. We calculated risk ratios (RRs) and numbers needed to benefit or harm (NNTB/NNTH). Primary outcome was the recurrence rate of any mood episode at 6 months. Secondary outcomes were recurrence rates of depressive episodes and manic/hypomanic/mixed episodes and all-cause discontinuation at 6 months. We also investigated these outcomes at 1, 3, 9, 12, 18, and 24 months.

We identified 22 studies (n = 5462) receiving aripiprazole, asenapine, divalproex, long-acting injectable (LAI)-aripiprazole, LAI-risperidone, lamotrigine, lithium, olanzapine, paliperidone, or quetiapine. Mean study duration was 64.50 ± 69.35 weeks. The maintenance group demonstrated lower recurrence rates of any mood episode, depressive episodes, and manic/hypomanic/mixed episodes as well as reduced all-cause discontinuation at every observational point. The RRs (95% confidence interval, NNTB/NNTH) of recurrence rate at 6 months were 0.61 (0.54–0.70, 5) for any mood episode, 0.72 (0.60–0.87, 13) for depressive episodes, and 0.45 (0.36–0.57, 6) for manic/hypomanic/mixed episodes. The RR for all-cause discontinuation at 6 months was 0.71 (0.61–0.82, 6).

Maintaining drug treatment during clinically stable BD prevented recurrence for up to 24 months. Discontinuation of medications for ⩾1 month significantly increased recurrence risk. However, 47.3% of patients who discontinued drugs for 6 months did not experience recurrence.

Impairments in social cognition contribute significantly to disability in schizophrenia patients (SzP). Perception of facial expressions is critical for social cognition. Intact perception requires an individual to visually scan a complex dynamic social scene for transiently moving facial expressions that may be relevant for understanding the scene. The relationship of visual scanning for these facial expressions and social cognition remains unknown.

In 39 SzP and 27 healthy controls (HC), we used eye-tracking to examine the relationship between performance on The Awareness of Social Inference Test (TASIT), which tests social cognition using naturalistic video clips of social situations, and visual scanning, measuring each individual's relative to the mean of HC. We then examined the relationship of visual scanning to the specific visual features (motion, contrast, luminance, faces) within the video clips.

TASIT performance was significantly impaired in SzP for trials involving sarcasm (p < 10−5). Visual scanning was significantly more variable in SzP than HC (p < 10−6), and predicted TASIT performance in HC (p = 0.02) but not SzP (p = 0.91), differing significantly between groups (p = 0.04). During the visual scanning, SzP were less likely to be viewing faces (p = 0.0001) and less likely to saccade to facial motion in peripheral vision (p = 0.008).

SzP show highly significant deficits in the use of visual scanning of naturalistic social scenes to inform social cognition. Alterations in visual scanning patterns may originate from impaired processing of facial motion within peripheral vision. Overall, these results highlight the utility of naturalistic stimuli in the study of social cognition deficits in schizophrenia.

Depression is commonly associated with fronto-amygdala dysfunction during the processing of emotional face expressions. Interactions between these regions are hypothesized to contribute to negative emotional processing biases and as such have been highlighted as potential biomarkers of treatment response. This study aimed to investigate depression associated alterations to directional connectivity and assess the utility of these parameters as predictors of treatment response.

Ninety-two unmedicated adolescents and young adults (mean age 20.1; 56.5% female) with moderate-to-severe major depressive disorder and 88 healthy controls (mean age 19.8; 61.4% female) completed an implicit emotional face processing fMRI task. Patients were randomized to receive cognitive behavioral therapy for 12 weeks, plus either fluoxetine or placebo. Using dynamic causal modelling, we examined functional relationships between six brain regions implicated in emotional face processing, comparing both patients and controls and treatment responders and non-responders.

Depressed patients demonstrated reduced inhibition from the dlPFC to vmPFC and reduced excitation from the dlPFC to amygdala during sad expression processing. During fearful expression processing patients showed reduced inhibition from the vmPFC to amygdala and reduced excitation from the amygdala to dlPFC. Response was associated with connectivity from the amygdala to dlPFC during sad expression processing and amygdala to vmPFC connectivity during fearful expression processing.

Our study clarifies the nature of face processing network alterations in adolescents and young adults with depression, highlighting key interactions between the amygdala and prefrontal cortex. Moreover, these findings highlight the potential utility of these interactions in predicting treatment response.