Negative interpretation bias connects to real-world daily affect: A multistudy approach

A More Connected Future: How Social Connection, Interdisciplinary Approaches, and New Technology Will Shape the Affective Science of Loneliness, a Commentary on the Special Issue

The recent Special Issue of Affective Science considered "The Future of Affective Science," offering new directions for the field. One recurring theme was the need to consider the social nature of emotional experiences. In this article, we take an interdisciplinary approach toward studies of social connection that builds upon current theoretical foundations to address an important public health issue - loneliness. Loneliness is an affective state that is characterized by feelings of isolation and has widespread adverse effects on mental and physical health. Recent studies have established links between loneliness, social connection, and well-being, but most of this work has been siloed in separate fields. We bridge these themes, leveraging advances in technology, such as artificial intelligence-based voice assistants (e.g., Alexa), to illuminate new avenues for detecting and intervening against loneliness "in the wild." Recognizing the power of connection among individuals as social beings and among researchers with shared goals, affective science can advance our understanding of loneliness and provide tangible benefits to society at large.

Proposing a model whereby negative valence bias increases the risk for more severe dysphoric posttraumatic stress disorder and depression symptomology

Experiencing trauma increases risk for posttraumatic stress disorder (PTSD) and depression, and individuals who experience psychopathology after a traumatic event often experience symptoms from both disorders. Because a tendency to view events in a more negative light and a propensity toward threat appraisals are risk factors for both PTSD and depression, negative valence bias-a tendency to appraise emotional ambiguity as having a more negative (less positive) meaning-may be a transdiagnostic risk factor. In other words, we expect individuals with a negative valence bias experience greater PTSD and depression symptoms. We measured valence bias and self-reported PTSD and depression symptoms in a sample of college students in 2021 (n = 287; 72.5% reported experiencing trauma). Although valence bias was not associated with PTSD symptoms as a whole, we found in our exploratory model that more negative bias was associated with greater dysphoria-related PTSD symptoms and greater depression symptoms (indirect effect p = .03). Thus, we propose a model whereby a more negative valence bias contributes to increased susceptibility for maladaptive stress responses, which may be associated with greater likelihood of symptoms of dysphoria-related PTSD and depression. These findings suggest that valence bias represents a transdiagnostic affective risk factor, warranting future research examining the impacts of bias-altering interventions (e.g., mindfulness-based treatments) as a means for managing symptoms in individuals with heightened dysphoria-related PTSD and/or depression symptoms. Additionally, in post hoc analyses it emerged that Latinx participants displayed a more negative valence bias, indicating the need for more research in diverse samples. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The role of trait reappraisal in response to emotional ambiguity: A systematic review and meta-analysis

Individuals exhibit a systematic valence bias-a specific form of interpretation bias-in response to emotional ambiguity. Accumulating evidence suggests most people initially respond to emotional ambiguity negatively and differ only in subsequent responses. We hypothesized that trait-level cognitive reappraisal-an emotion regulation strategy involving the reinterpretation of affective meaning of stimuli-might explain individual differences in valence bias. To answer this question, we conducted a random-effects meta-analysis of 14 effect sizes from 13 prior studies (n = 2,086), identified via Google Scholar searches. We excluded studies (a) in languages other than English, (b) from non-peer-reviewed sources, or (c) nonempirical sources. We included studies with (a) the Emotion Regulation Questionnaire, (b) a putative measure of valence bias prior to any study-specific manipulations, and (c) adult human participants (i.e., 17+). Supporting our prediction, we found individuals with higher trait reappraisal exhibited a less negative bias (r = -.18, z = -4.04, p < .001), whereas there was a smaller, opposite effect for trait expressive suppression (r = .10, z = 2.14, p = .03). The effects did, however, vary across tasks with stronger effects observed among studies using the scrambled sentences task compared to the valence bias task. Although trait reappraisal accounted for only a small amount of variance, reappraisal may be one mechanism contributing to variability in response to ambiguity. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

In the face of ambiguity: intrinsic brain organization in development predicts one's bias toward positivity or negativity

Exacerbated negativity bias, including in responses to ambiguity, represents a common phenotype of internalizing disorders. Individuals differ in their propensity toward positive or negative appraisals of ambiguity. This variability constitutes one's valence bias, a stable construct linked to mental health. Evidence suggests an initial negativity in response to ambiguity that updates via regulatory processes to support a more positive bias. Previous work implicates the amygdala and prefrontal cortex, and regions of the cingulo-opercular system, in this regulatory process. Nonetheless, the neurodevelopmental origins of valence bias remain unclear. The current study tests whether intrinsic brain organization predicts valence bias among 119 children and adolescents (6 to 17 years). Using whole-brain resting-state functional connectivity, a machine-learning model predicted valence bias (r = 0.20, P = 0.03), as did a model restricted to amygdala and cingulo-opercular system features (r = 0.19, P = 0.04). Disrupting connectivity revealed additional intra-system (e.g. fronto-parietal) and inter-system (e.g. amygdala to cingulo-opercular) connectivity important for prediction. The results highlight top-down control systems and bottom-up perceptual processes that influence valence bias in development. Thus, intrinsic brain organization informs the neurodevelopmental origins of valence bias, and directs future work aimed at explicating related internalizing symptomology.

Negative interpretation bias connects to real-world daily affect: A multistudy approach

Negative interpretation bias, the tendency to appraise ambiguous stimuli as threatening, shapes our emotional lives. Various laboratory tasks, which differ in stimuli features and task procedures, can quantify negative interpretation bias. However, it is unknown whether these tasks globally predict individual differences in real-world negative (NA) and positive (PA) affect. Across two studies, we tested whether different lab-based negative interpretation bias tasks predict daily NA and PA, measured via mobile phone across months. To quantify negative interpretation bias, Study 1 (N = 69) used a verbal, self-referential task whereas Study 2 (N = 110) used a perceptual, emotional image task with faces and scenes. Across tasks, negative interpretation bias was linked to heightened daily NA. However, only negative interpretation bias in response to ambiguous faces was related to decreased daily PA. These results illustrate the ecological validity of negative interpretation bias tasks and highlight converging and unique relationships between distinct tasks and naturalistic emotion. (PsycInfo Database Record (c) 2023 APA, all rights reserved).