Obsessive-compulsive disorder (OCD) is associated with brain abnormalities in the areas that regulate emotions, and it is postulated that people with OCD have difficulty downregulating ( = reducing) their negative emotions. This study recruited 20 participants with OCD and 20 controls to rate 294 emotional photos (emotional stimuli not related to OCD) for emotional valence. Participants were then asked to downregulate while they saw the 20 photos with the highest negative ratings and 20 photos with the highest positive ratings. Participants with OCD had more difficulty downregulating their negative emotions than controls. Evidence for that is that (1) participants with OCD gave significantly higher ratings to the affectively negative photos in the postregulation phase, after adjusting for their preregulation ratings and (2) participants with OCD took significantly more time to regulate both their negative and positive emotions. The findings suggest that individuals with OCD not only present with the symptoms that are specified in the OCD diagnostic criteria of DSM-IV TR (American Psychiatric Association, 2000), but also with difficulty downregulating their negative emotions to non obsessive-compulsive (nonOC) affectively negative stimuli. Clinicians may consider adding emotion regulation skills to psychological treatments of OCD. / published_or_final_version / Clinical Psychology / Doctoral / Doctor of Psychology

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Background: Emotion regulation has been identified as a major contributor to the development of psychopathology and, by extension, to understanding the positive effects of various psychotherapy mechanisms. Little work has been done, however, on the extent to which individual components of emotion regulation operate as prognostic factors in psychological treatment. Context sensitivity and reflective functioning are emerging as important aspects of adaptive emotion regulation capacity and may be related to a portion of patient therapy outcome when investigated as a patient characteristic. Design and Participants: A sample of 130 adults seeking treatment for depression and anxiety through a digital psychotherapy provider were recruited to participate. Individuals presenting with comorbid severe mental illness or psychosis, significant substance abuse concerns, active suicidal ideation, and active manic states were excluded from participation. Methods: Participants completed individual difference measures for Five-factor Personality, reflective functioning (i.e., Reflective Functioning Questionnaire; RFQ), and the context sensitivity (i.e., Context Sensitivity Index; CSI), and were followed over three months of psychotherapy. Clinical outcomes were measured with diagnosis-specific symptom measures such as the PHQ-9 for depression and the GAD-7 for anxiety at baseline and then every 3 weeks for the duration of treatment. Results: Participants reported significant improvement in depression and anxiety symptoms after three months of treatment (p < .001). CSI and RFQ scores were unassociated with baseline symptom severity. Certainty about others’ thoughts, an RFQ subscale, was inversely associated with outcome (p < .05). CSI scores were unassociated with treatment outcome at 3 months. Lack of insight, an RFQ subscale, significantly improved as a result of treatment when baseline symptoms were high (p < .05). Conclusions: Reflective functioning may be a promising patient characteristic for explaining a modest portion of treatment outcome. Lack of emotional insight improved meaningfully as a result of treatment for individuals with more severe depression and anxiety at baseline. Further research is needed to investigate aspects of emotion regulation as a route towards better understanding outcome in psychotherapy.

Previous research has shown that the intrapersonal characteristics (e.g., temperament) of children are associated closely with alterations in the functioning of the hypothalamic-pituitary–adrenal (HPA) stress axis. However, consistently capturing direct associations between these characteristics and stress reactivity of the HPA axis has, at times, yielded disparate findings. Thus, using the Rothbart model of temperament (Rothbart & Derryberry, 1981) as a guide, the main goal of this project was to investigate and identify intrapersonal characteristics that moderate associations between other intrapersonal characteristics of the child and stress reactivity during development (e.g., trait by trait interactions). Additionally, study variables were assessed for meaningful associations and, on average differences between those who responded to the stressor paradigm and those who did not. A sample of 45 male and 37 female students (n=82, M= 9.66 yrs.) from six, fourth and fifth grade classes partook in a mathematically based stressor paradigm administered in the classroom. Salivary cortisol and behavior measures were collected in two waves over a 7-week period. Several significant results emerged. Overall, children who responded to the stressor paradigm had significantly higher levels of traits associated with a more inhibited behavioral style. Further, several meaningful interactions surfaced in which intrapersonal characteristics of various categories, including reactive, regulatory, and ambiguous, interacted with one another to predict stress reactivity. Of note, the majority of the interactions involved self-regulation and surgency. These two intrapersonal characteristics interacted with several others, helping to elucidate the unique influences of these intrapersonal characteristics on each other and, subsequently, stress reactivity of the HPA axis. These results illustrate that interactions between multiple intrapersonal characteristics should be taken into consideration in the future when studying the relationships between intrapersonal characteristics and stress reactivity of the HPA axis. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2017. / FAU Electronic Theses and Dissertations Collection

Flexibility in self-regulatory behaviors has proved to be essential for adjusting to stressful life events, and requires individuals to have a diverse repertoire of emotion regulation abilities. However, the most commonly used emotion regulation questionnaires assess frequency of behavior rather than ability, with little evidence linking these measures to observable capacity to enact a behavior. A laboratory paradigm has been developed to assess individual difference in expressive enhancement and suppression ability, but such lab-based measures are impractical or impossible to employ in the field research setting. The aim of the current investigation is to develop and validate a Flexible Expression Regulation Ability Scale (FERAS) that measures a person's ability to enhance and suppress displayed emotion across an array of hypothetical contexts. In Study 1, I investigate the factor structure of the FERAS in addition to convergent and discriminant validity. In Study 2, I compare the FERAS with a composite of traditional frequency-based indices of expressive regulation to predict performance in a previously validated experimental paradigm.

The ability to find positive meaning and in turn generate positive emotions in the face of negative life circumstances is a protective factor against the harmful effects of stress, and a critical pathway to resilience and growth. Despite its clear importance, little is known about the brain mechanisms that support this ability, the processes that underlie decisions to implement it, or the long-term effects it has on memories of negative life experiences. Study 1 shows that finding positive meaning in negative experiences engages the brain’s system for reward valuation, whereas minimizing negative emotions dampens activity in a region involved in generating emotional arousal. Study 2 shows that spontaneous brain responses to aversive stimuli can be used to prospectively predict decisions to regulate emotion, and the predictive value of these responses is comparable across finding positive meaning and minimizing negative emotions. Study 3 shows that finding positive meaning and minimizing negative feelings can bring about distinct lasting effects on the content and affective impact of memories of negative experiences.

University of Macau / Faculty of Social Sciences and Humanities / Department of Psychology

The emotions associated with initiating, maintaining, and reinforcing hairpulling disorder (trichotillomania) were studied. Studies conducted have only looked at small community or inpatient samples, and little is known about the interplay of hairpulling subtypes and emotions. For this study, 427 participants completed an online questionnaire around their hairpulling subtype, severity, emotions experienced by hairpulling, and comorbid anxiety and depression. Using the Milwaukee Inventory for Subtypes of Trichotillomania-Adult Version (MIST-A; Flessner, Woods, Franklin, Cashin, & Keuthen, 2008), this is the first study to address the regulation of emotions across subtypes. Participants were divided as either high- or low-focused and either high- or low automatic. Significant differences between hairpulling subtypes and hairpulling severity were reported. Subtypes differed in the severity they experienced emotions; individuals with high-focused pulling reported more intense negative emotions, and a greater number of emotions regulated by pulling. Positive emotions⎯happiness, relief, and calm⎯were also found to play a significant role in reinforcing hairpulling. For high-focused subtypes, negative emotions before- and after-pulling were associated with greater severity, indicating that altering negative emotions via pulling plays an important role for high-focused subtypes. High-focused subtypes also reported higher stress, depression and anxiety than either automatic subtypes or the general population, and were found to have anxiety and depression significantly associated with hairpulling severity and experiencing negative emotions that initiated hairpulling. Clinical and treatment implications, study limitations, and areas of future research are discussed / xviii, 227 leaves ; 29 cm

We constantly perceive and categorize internal signals, like our subjective affective state, and complex social signals, like the faces of the people around us. In this dissertation, I aim to characterize some of the ways in which we perceive and categorize affective and social stimuli, top-down influences on those processes, and individual differences in social & affective perception/categorization. First, in Chapter 2, I apply psychophysical methods to assess how individual differences in trait emotional expressivity arise from observers' subjective emotion reporting thresholds. Next, in Chapter 3, I characterize the perception and categorization of age from adult faces. Finally, in Chapter 4, I investigate whether the act of categorizing one's subjective emotional state changes the affective distance between neural representations of positive and negative affect states.

Aging has long been associated with a (i) systematic bias in both attention and in memory towards positive stimuli compared with negative, and (ii) a gradual increase in self-reported positive affect and decrease in negative affect in daily life. The findings are considered to be paradoxical, because as people get older, the neural mechanisms responsible for cognitive functioning undergo gradual decline in structure and function. This dissertation aims to break down the mechanisms of aging that allow for the age-related changes in emotion to prevail in the midst of other ongoing aging processes. Here, I present three papers that address age-related changes in emotional experience. Study 1 showed that age predicted feeling more positive and less negative when faced with a pandemic that disproportionality impacted older adults. Study 2 showed that while younger adults are better than older adults at regulating negative images, all participants rely on similar brain regions for accomplishing the same regulatory goals. Study 3 showed that when given the explicit goal to up or down-regulate positivity, older adults do not have an advantage over younger adults. One way to explain these results is that there are age-related distinctions between the way participants behave in lab-based studies and when they are observed in daily life, which account for inconsistencies between my three studies.