The longitudinal association between individual differences in recall of positive specific autobiographical memories and daily cortisol.

The present study examines the longitudinal association between cortisol (dys)regulation - mean cortisol awakening response (CAR) and area under the curve with respect to ground (AUCg) for total daily cortisol - and autobiographical memory. 135 participants (mean age at baseline = 16.1; Females = 78.5 %) provided cortisol samples (T1). Seven months later participants retrieved autobiographical memories cued by positive and negative words (T2). Four years subsequently, participants provided cortisol samples again (T3). The retrieval of more specific memories cued by positive words, but not negative words, was associated with higher AUCg four years later, independent of sex, recent life stressors and self-reported negative self-related cognitions. There were no associations between CAR and autobiographical memory. Neither AUC nor CAR at T1 predicted subsequent autobiographical memory abilities. People who retrieve more positive specific memories may be more likely to imagine and seek out positive experiences and this may be associated with higher cortisol levels.

Examining Positive and Negative Affect as Outcomes and Moderators of Cognitive-Behavioral Therapy and Acceptance and Commitment Therapy for Social Anxiety Disorder.

Traditional cognitive-behavioral therapy (CBT) for anxiety disorders has been designed to target reductions in negative affect (NA) associated with defense-related processes. However, a subset of anxiety disorders, including social anxiety disorder (SAD), are also characterized by low positive affect (PA) resulting from separate deficits in appetitive-related processes. In contrast to CBT, "third-wave" approaches, such as acceptance and commitment therapy (ACT), align more consistently with motivational processes and, as a result, PA. However, the differential effect of CBT and ACT on PA and NA has yet to be investigated. Using secondary data from a randomized controlled trial, the present study sought to compare CBT's (n = 45) and ACT's (n = 35) effect on PA and NA in SAD. Findings were compared to a wait-list (WL) control condition (n = 31), as well as normative data from a general adult sample. Baseline PA and NA were also examined as moderators and predictors of theory-relevant treatment outcomes. NA decreased significantly in both CBT and ACT from pre to posttreatment. Although ACT outperformed WL in reducing NA, this effect was not observed for CBT. PA increased significantly in both CBT and ACT from pre to posttreatment, with neither ACT nor CBT outperforming WL in increasing PA. Neither PA nor NA were found to moderate theoretically relevant treatment outcomes. Findings suggest that ACT and CBT share common treatment mechanisms, making them more similar than distinct. Further efforts should be focused on optimizing CBT's and ACT's influence on threat and reward learning, and elucidating common processes of change.

Positive Affect as a Buffer between Chronic Stress and Symptom Severity of Emotional Disorders.

Research has demonstrated that stressors play a critical role in the development of generalized anxiety disorder (GAD), social anxiety disorder (SAD), and major depressive disorder (MDD). Separately, deficits in positive affect (PA) have been identified in GAD, SAD, and MDD. While previous research has linked the buffering effects of PA in chronic illness, such effects have yet to be investigated for chronic stressors and emotional disorder-related symptom severity. The purpose of the present study was to examine PA as a moderator of chronic interpersonal and non-interpersonal stress on GAD, SAD, and MDD symptom severity. Using a multilevel statistical approach with a sample of adolescents and young adults (N=463), PA was found to significantly moderate the relationship between chronic interpersonal stress and symptom severity for MDD and SAD. Findings suggest that in times of chronic interpersonal stress, higher PA may serve as a buffer from development of SAD and MDD symptoms.

Detecting depression using a framework combining deep multimodal neural networks with a purpose-built automated evaluation.

Machine learning (ML) has been introduced into the medical field as a means to provide diagnostic tools capable of enhancing accuracy and precision while minimizing laborious tasks that require human intervention. There is mounting evidence that the technology fueled by ML has the potential to detect and substantially improve treatment of complex mental disorders such as depression. We developed a framework capable of detecting depression with minimal human intervention: artificial intelligence mental evaluation (AiME). This framework consists of a short human-computer interactive evaluation that utilizes artificial intelligence, namely deep learning, and can predict whether the participant is depressed or not with satisfactory performance. Because of its ease of use, this technology can offer a viable tool for mental health professionals to identify symptoms of depression, thus enabling a faster preventative intervention. Furthermore, it may alleviate the challenge of observing and interpreting highly nuanced physiological and behavioral biomarkers of depression by providing a more objective evaluation. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Sensing emotion in voices: Negativity bias and gender differences in a validation study of the Oxford Vocal ('OxVoc') sounds database.

Emotional expressions are an essential element of human interactions. Recent work has increasingly recognized that emotional vocalizations can color and shape interactions between individuals. Here we present data on the psychometric properties of a recently developed database of authentic nonlinguistic emotional vocalizations from human adults and infants (the Oxford Vocal 'OxVoc' Sounds Database; Parsons, Young, Craske, Stein, & Kringelbach, 2014). In a large sample (n = 562), we demonstrate that adults can reliably categorize these sounds (as 'positive,' 'negative,' or 'sounds with no emotion'), and rate valence in these sounds consistently over time. In an extended sample (n = 945, including the initial n = 562), we also investigated a number of individual difference factors in relation to valence ratings of these vocalizations. Results demonstrated small but significant effects of (a) symptoms of depression and anxiety with more negative ratings of adult neutral vocalizations (R2 = .011 and R2 = .008, respectively) and (b) gender differences in perceived valence such that female listeners rated adult neutral vocalizations more positively and infant cry vocalizations more negatively than male listeners (R2 = .021, R2 = .010, respectively). Of note, we did not find evidence of negativity bias among other affective vocalizations or gender differences in perceived valence of adult laughter, adult cries, infant laughter, or infant neutral vocalizations. Together, these findings largely converge with factors previously shown to impact processing of emotional facial expressions, suggesting a modality-independent impact of depression, anxiety, and listener gender, particularly among vocalizations with more ambiguous valence. (PsycINFO Database Record

DEFICITS IN DISENGAGING ATTENTION FROM THREAT PREDICT IMPROVED RESPONSE TO COGNITIVE BEHAVIORAL THERAPY FOR ANXIETY.

BACKGROUND: Pretreatment biases in attending toward threat have been shown to predict greater symptom reduction following cognitive behavioral therapy (CBT) for anxiety. Findings to date do not extend to clinical severity of diagnoses and they assess treatment response immediately posttreatment and not at follow-up. Research in this area has also not examined components of vigilance (e.g., engagement, disengagement) or whether these effects are confined to external attention and not attention to internal symptoms of anxiety. METHODS: In the present investigation, 96 adults with a range of anxiety disorders completed a dot probe task to assess threat-related attention biases before and after 12 sessions of CBT. RESULTS: Pretreatment deficits in disengaging attention from external and internal threats, and not the speed of engagement with threat, predicted reductions in clinical severity of diagnoses that were maintained 2 years later. The presence of posttreatment attention biases was not associated with increased clinical severity after treatment. CONCLUSIONS: Pretreatment deficits in disengaging attention from threat may promote better and more durable response to CBT for a range anxiety disorders.