Major depressive disorder (MDD) was previously associated with negative affective biases. Evidence from larger population-based studies, however, is lacking, including whether biases normalise with remission. We investigated associations between affective bias measures and depressive symptom severity across a large community-based sample, followed by examining differences between remitted individuals and controls.

Participants from Generation Scotland (N = 1109) completed the: (i) Bristol Emotion Recognition Task (BERT), (ii) Face Affective Go/No-go (FAGN), and (iii) Cambridge Gambling Task (CGT). Individuals were classified as MDD-current (n = 43), MDD-remitted (n = 282), or controls (n = 784). Analyses included using affective bias summary measures (primary analyses), followed by detailed emotion/condition analyses of BERT and FAGN (secondary analyses).

For summary measures, the only significant finding was an association between greater symptoms and lower risk adjustment for CGT across the sample (individuals with greater symptoms were less likely to bet more, despite increasingly favourable conditions). This was no longer significant when controlling for non-affective cognition. No differences were found for remitted-MDD v. controls. Detailed analysis of BERT and FAGN indicated subtle negative biases across multiple measures of affective cognition with increasing symptom severity, that were independent of non-effective cognition [e.g. greater tendency to rate faces as angry (BERT), and lower accuracy for happy/neutral conditions (FAGN)]. Results for remitted-MDD were inconsistent.

This suggests the presence of subtle negative affective biases at the level of emotion/condition in association with depressive symptoms across the sample, over and above those accounted for by non-affective cognition, with no evidence for affective biases in remitted individuals.

The ability to decode emotional information from facial expressions is crucial for successful social interaction. Borderline personality disorder (BPD) is characterized by serious problems in interpersonal relationships and emotional functioning. Empirical research on facial emotion recognition in BPD has been sparsely published and results are inconsistent. To specify emotion recognition deficits in BPD more closely, the present study implemented two emotion recognition tasks differing in response format.

Nineteen patients with BPD and 19 healthy subjects were asked to evaluate the emotional content of visually presented stimuli (emotional and neutral faces). The first task, the Fear Anger Neutral (FAN) Test, required a rapid discrimination between negative or neutral facial expressions whereas in the second task, the Emotion Recognition (ER) Test, a precise decision regarding default emotions (sadness, happiness, anger, fear and neutral) had to be achieved without a time limit.

In comparison to healthy subjects, BPD patients showed a deficit in emotion recognition only in the fast discrimination of negative and neutral facial expressions (FAN Test). Consistent with earlier findings, patients demonstrated a negative bias in the evaluation of neutral facial expressions. When processing time was unlimited (ER Test), BPD patients performed as well as healthy subjects in the recognition of specific emotions. In addition, an association between performance in the fast discrimination task (FAN Test) and post-traumatic stress disorder (PTSD) co-morbidity was indicated.

Our data suggest a selective deficit of BPD patients in rapid and direct discrimination of negative and neutral emotional expressions that may underlie difficulties in social interactions.