Stress events and Changes in Dysfunctional Attitudes and Automatic Thoughts Following Recovery from Depression in Inpatient Psychotherapy: Mediation Analyses with Longitudinal Data

Background Stressful event exposure, dysfunctional attitudes (DA), negative automatic thoughts (NAT), and declining positive automatic thoughts (PAT) have been associated with depressive relapse/recurrence. Few studies have investigated the course of these variables and their relevance for relapse/recurrence in remitted depression. Methods Following successful inpatient treatment, in 39 remitted depressive patients, stressful events, DA, NAT, PAT, and depressive relapse/recurrence were assessed five times during a 16-month follow-up. Data were analyzed with mixed effect models, and mediation effects were tested. Results Stressful events after discharge correlated with depressive relapse/recurrence. This association was mainly mediated by a stress-related decline of PAT within four months post discharge. Patients’ DA were relatively stable during the observation period and did not depend on stressful events, indicating DA as a risk trait for depressive relapse/recurrence. Mediation analyses revealed that independent of stress, DA were linked to depressive relapse/recurrence through more NAT. Conclusion Our findings suggest stressful events evoke relapse/recurrence in remitted depression through rapid deterioration of PAT after discharge from inpatient therapy. DA are expressed through NAT which additionally contribute to higher risk of depressive relapse/recurrence. Consequently, maintenance therapy requires techniques to promote the maintenance of PAT, and to effectively restructure DA and NAT.

Altered electroencephalography resting state network coherence in remitted MDD

Individuals with remitted depression are at greater risk for subsequent depression and therefore may provide a unique opportunity to understand the neurophysiological correlates underlying the risk of depression. Research has identified abnormal resting-state electroencephalography (EEG) power metrics and functional connectivity patterns associated with major depression, however little is known about these neural signatures in individuals with remitted depression. We investigate the spectral dynamics of 64-channel EEG surface power and source-estimated network connectivity during resting states in 37 individuals with depression, 56 with remitted depression, and 49 healthy adults that did not differ on age, education, and cognitive ability across theta, alpha, and beta frequencies. Average reference spectral EEG surface power analyses identified greater left and midfrontal theta in remitted depression compared to healthy adults. Using Network Based Statistics, we also demonstrate within and between network alterations in LORETA transformed EEG source-space coherence across the default mode, fronto-parietal, and salience networks where individuals with remitted depression exhibited enhanced coherence compared to those with depression, and healthy adults. This work builds upon our currently limited understanding of resting EEG connectivity in depression, and helps bridge the gap between aberrant EEG power and brain network connectivity dynamics in this disorder. Further, our unique examination of remitted depression relative to both healthy and depressed adults may be key to identifying brain-based biomarkers for those at high risk for future, or subsequent depression.

Metabolomics-based discrimination of patients with remitted depression from healthy controls using 1H-NMR spectroscopy

The aim of the study was to investigate differences in metabolic profiles between patients with major depressive disorder (MDD) with full remission (FR) and healthy controls (HCs). A total of 119 age-matched MDD patients with FR (n = 47) and HCs (n = 72) were enrolled and randomly split into training and testing sets. A 1H-nuclear magnetic resonance (NMR) spectroscopy-based metabolomics approach was used to identify differences in expressions of plasma metabolite biomarkers. Eight metabolites, including histidine, succinic acid, proline, acetic acid, creatine, glutamine, glycine, and pyruvic acid, were significantly differentially-expressed in the MDD patients with FR in comparison with the HCs. Metabolic pathway analysis revealed that pyruvate metabolism via the tricarboxylic acid cycle linked to amino acid metabolism was significantly associated with the MDD patients with FR. An algorithm based on these metabolites employing a linear support vector machine differentiated the MDD patients with FR from the HCs with a predictive accuracy, sensitivity, and specificity of nearly 0.85. A metabolomics-based approach could effectively differentiate MDD patients with FR from HCs. Metabolomic signatures might exist long-term in MDD patients, with metabolic impacts on physical health even in patients with FR.

Reduced Specificity and Increased Overgenerality of Autobiographical Memory Persist as Cognitive Vulnerabilities in Remitted Major Depression: A Meta-Analysis

Difficulty in accessing specific memories, referred to as reduced memory specificity or overgeneral memory, has been established as a marker of clinical depression. However, it is not clear if this deficit persists following the remission of depressive episodes. The current study involved a systematic review and meta-analysis of empirical studies with the aim of establishing whether remitted depression was associated with retrieving fewer specific and more overgeneral autobiographical memories. Seventeen studies were identified as eligible. The results indicated that people with remitted depression recalled fewer specific memories (k = 15; g = -0.314, 95% CI[-0.543; -0.085], z = -2.69, p = .007) and more categoric memories (k = 9; g = 0.254, 95% CI[0.007; 0.501], z = 2.02, p = .043) compared to people who had never been depressed. Given that these deficits have elsewhere been shown to be prognostic of future depressive symptoms, these findings provide further evidence that reduced memory specificity/overgeneral memory appears to be a risk factor for future episodes of depression in those that are in remission. The findings are discussed in terms of how this knowledge might influence clinical understanding of relapse prevention and maintenance of remission in those with a history of depression.

Emotion Regulation Diversity in Current and Remitted Depression

Depression is associated with reduced flexibility in emotion regulation (ER). Diversity in the use of ER strategies is crucial for ER flexibility. In this study, we examined associations between depression and ER diversity and proposed a novel measure: the ER diversity index. Currently depressed ( n = 58), remitted depressed ( n = 65), and healthy control participants ( n = 55) rated their use of nine ER strategies. Four ER measures were computed (diversity index, sum score, flexibility score, intraindividual standard deviation), and their association with diagnostic group was compared. The ER diversity index was associated with depression status more strongly than all other ER measures. Currently and remitted depressed individuals exhibited greater diversity in ER strategies overall and maladaptive ER strategies but less diversity in adaptive ER strategies compared with healthy individuals. Thus, the ER diversity index may be a valid measure of ER diversity, and ER diversity may have an important role in depression.

Is a Negative Attentional Bias in Individuals with Autism Spectrum Disorder Explained by Comorbid Depression? An Eye-Tracking Study

Heightened attention towards negative information is characteristic of depression. Evidence is emerging for a negative attentional bias in Autism spectrum disorder (ASD), perhaps driven by the high comorbidity between ASD and depression. We investigated whether ASD is characterised by a negative attentional bias and whether this can be explained by comorbid (sub) clinical depression. Participants (n = 116) with current (CD) or remitted depression (RD) and/or ASD, and 64 controls viewed positively and negatively valenced (non-)social pictures. Groups were compared on three components of visual attention using linear mixed models. Both CD individuals with and without ASD, but not remitted depressed and never-depressed ASD individuals showed a negative bias, suggesting that negative attentional bias might be a depressive state-specific marker for depression in ASD.