129 research outputs found

    Emotion regulation difficulties related to depression and anxiety : a network approach to model relations among symptoms, positive reappraisal, and repetitive negative thinking

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    Frequent repetitive negative thinking and infrequent positive reappraisal use are theorized to increase risk for depression and anxiety. Yet, research has studied these regulatory strategies at the disorder level, ignoring the clinical heterogeneity and differential relations among their individual symptoms. In this study, we examined the associations among repetitive negative thinking, positive reappraisal, and individual symptoms of depression and anxiety disorders. Models of regularized partial-correlation networks were estimated using cross-sectional data from 468 participants. Results showed that repetitive negative thinking and positive reappraisal were differentially related to affective, cognitive, and somatic symptoms of depression and anxiety. Moreover, repetitive negative thinking was more central than positive reappraisal with stronger connections to individual symptoms. Finally, repetitive negative thinking was more important than positive reappraisal in connecting clusters of depression and anxiety symptoms. These findings cast light on potential pathways through which repetitive negative thinking and positive reappraisal may operate within depression and anxiety

    Measuring facets of Worry: A LISREL analysis of the Worry Domains Questionnaire

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    In the development of the Worry Domains Questionnaire (WDQ) for the measurement of nonpathological worry, (Tallis, Eysenck & Mathews, 1992. A questionnaire for the measurement of nonpathological worry. Personality and Individual Differences, 13, 161–168) Tallis et al. had used cluster analytical procedures to establish the number of worry domains. The resulting structure of the WDQ, however, was never adequately tested. This study therefore examined the WDQ's structure by use of confirmatory factor analysis comparing models of different factor structures. In the first sample of 466 participants, a five-factor model yielded the best fit to the data, characterized by highly correlated yet distinct domains of everyday worrying as they were originally proposed. This model was cross-validated with a second sample of 503 participants, showing stable factor loadings across samples. Whereas these analyses displayed a good fit of the five-factor representation for the item-based models, overall fit of all models was more prominent when items were aggregated (subscale models). Implications of the results and suggestions for future research are discussed

    Somatic symptoms of generalized anxiety disorder from the DSM-IV: Associations with pathological worry and depression symptoms in a nonclinical sample

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    The present study investigates specificity of the six somatic symptoms that are associated with generalized anxiety disorder (GAD), according to the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders. A nonclinical sample of 183 students provided severity ratings for (a) restlessness, (b) easily fatigued, (c) difficulty concentrating, (d) irritability, (e) muscle tension, and (f) sleep disturbance. In addition, they responded to questionnaires assessing pathological worry and depression symptoms. Partial correlations and multiple regression analyses indicated that only muscle tension showed a unique relation to pathological worry. In contrast, difficulty concentrating was exclusively related to depression symptoms. Present findings corroborate psychophysiological findings that elevated muscle tension is a specific characteristic of pathological worriers. Moreover, they suggest that the problem of unclear boundaries between GAD and major depression may be reduced if future revisions of the somatic symptom list for GAD emphasize muscle tension while de-emphasizing difficulty concentrating

    Mapping dynamic interactions among cognitive biases in depression

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    Depression is theorized to be caused in part by biased cognitive processing of emotional information. Yet, prior research has adopted a reductionist approach that does not characterize how biases in cognitive processes such as attention and memory work together to confer risk for this complex multifactorial disorder. Grounded in affective and cognitive science, we highlight four mechanisms to understand how attention biases, working memory difficulties, and long-term memory biases interact and contribute to depression. We review evidence for each mechanism and highlight time- and context-dependent dynamics. We outline methodological considerations and recommendations for research in this area. We conclude with directions to advance the understanding of depression risk, cognitive training interventions, and transdiagnostic properties of cognitive biases and their interactions

    Attentional control in depression: a translational affective neuroscience approach

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    Translational research refers to the application of basic science to address clinical problems and acquire knowledge that can be used to guide and refine clinical practice. This special issue of Cognitive, Affective, & Behavioral Neuroscience seeks to explore and integrate some of the most promising findings offered by recent cognitive and affective neuroscience studies in hopes of filling the gap between basic and applied research, thereby heightening our understanding of vulnerability for depression. The studies presented in this special issue focus specifically on attentional processes. We solicited contributions from leading researchers involved in basic cognitive and neuroscience research investigating processes underlying depression-related disturbances in emotion processing. In this introductory article, we present an integrative overview to demonstrate how these specific contributions might be valuable for translational research

    Training the Forgetting of Negative Material: The Role of Active Suppression and the Relation to Stress Reactivity

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    In this study, the authors investigated whether training participants to use cognitive strategies can aid forgetting in depression. Participants diagnosed with major depressive disorder (MDD) and never-depressed participants learned to associate neutral cue words with a positive or negative target word and were then instructed not to think about the negative targets when shown their cues. The authors compared 3 different conditions: an unaided condition, a positive-substitute condition, and a negative-substitute condition. In the substitute conditions, participants were instructed to use new targets to keep from thinking about the original targets. After the trainingphase, participants were instructed to recall all targets when presented with the cues. MDD participants, in contrast with control participants, did not exhibit forgetting of negative words in the unaided condition. In both the negative and positive substitute conditions, however, MDD participants showed successful forgetting of negative words and a clear practice effect. In contrast, negative substitute words did not aid forgetting by the control participants. These findings suggest that training depressed individuals to use cognitive strategies can increase forgetting of negative words

    Facing recovery: Emotional bias in working memory, rumination, relapse, and recurrence of major depression; an experimental paradigm conducted five years after first episode of major depression

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    Identifying vulnerability factors for relapse of depression is essential in planning preventive interventions. Emotional face processing in major depression (MDD) shows promise as a potential cognitive marker for depression. The current study investigates how working memory (WM) load in face processing relates to rumination and new episodes of MDD in a novel explorative paradigm. It was expected that history of MDD is associated with reduction of the ability to process sad stimuli in high WM load conditions and reduction of the ability to process happy stimuli in low WM conditions. It was further predicted that these relations are associated with rumination and risk for relapse. The experiment was included as a cross sectional part in a follow-up study of a population that previously experienced first episode (FE) depression. The FE (N = 23) and a healthy control group (N = 22) completed a WM face processing task. In the task, three happy or sad faces were presented, processed in either a high or low WM taxing manner, followed by a target stimulus consisting of one of the previous pictures. Response time and accuracy were dependent variables. Rumination and number of relapses or recurrences were measured. The FE group recalled the placement of significantly fewer happy faces in the low WM load condition, and significantly fewer sad faces in the high WM load condition compared to controls. Significantly different scores between groups predicted trait rumination. Poor accuracy in the sad high WM load condition correlated with high degree of rumination. Relapse or recurrence was predicted by rumination. The present study supports an emotional WM deficit in remitted MDD. This suggests that deficits in manipulation of sad faces could represent a trait bias related to rumination and depression.acceptedVersio

    Cognitive Bias Modification: Induced Interpretive Biases Affect Memory

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    Previous research has shown that it is possible to experimentally induce interpretive biases using ambiguous scenarios. This study extends past findings by examining the effects of manipulating interpretation on subsequent memory. Participants were trained to interpret emotionally ambiguous passages in either a positive or negative direction. Transfer of the training to novel scenarios was tested. Following training, participants were also asked to recall details from these novel scenarios. The results indicate that the training was effective in inducing the intended group differences in interpretive bias. Importantly, participants exhibited memory biases that corresponded to their training condition. These results suggest that manipulating interpretive biases can result in corresponding changes in memory. Findings from this study highlight the importance of future research on the relation among cognitive biases and on the possibility of modifying cognitive biases in emotional disorders

    Computerized Working Memory Training in Remission From Major Depressive Disorder: Effects on Emotional Working Memory, Processing Speed, Executive Functions, and Associations With Symptoms

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    Introduction: Remission from major depressive disorder (MDD) is associated with residual symptoms related to reduced functioning, quality of life, and relapse risk. Previous studies have raised questions about mechanisms involved-in and affected by cognitive training. This study investigated the associations and changes among depressive symptoms, rumination, processing speed (PS), executive functioning (EF), and emotional working memory (e-WM) pre- post computerized working memory training (CWMT). Method: Twenty-nine remitted participants were included in a pre- post pilot study of within-subject effects of online CWMT. A total of 20 participants completed the intervention and pre- post tests of EF and PS, e-WM, in addition to symptom and rumination measures. Associations between changes in symptoms and cognition were investigated pre- post. Associations between improvements in CWMT, depression history, and changes in cognition were explored. Hypotheses and statistics were preregistered before data were analyzed. Results: Manipulation of negatively valanced stimuli in e-WM showed an inverse association with rumination pre-intervention, but the association disappeared post-intervention. Cognitive functioning improved in most conditions with largest effects in EF. Symptoms did not change in the remitted sample. CWMT improvements were related to improvements in some aspects of EF and PS, but also to worse self-reported attention. Depression history was related to less improvement in EF. Limitations: Sample size was small and there was dropout from the study. There was no control group, thus precluding practice and placebo effects and causal relationships. Conclusions: Computerized WM training improves cognitive functions and could influence associations between e-WM and rumination. This could counteract functional impairment following MDD.publishedVersio
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