The levonorgestrel-releasing intrauterine device is related to early emotional reactivity: An ERP study.

Despite the evidence of altered emotion processing in oral contraceptive (OC) users, the impact of hormonal intrauterine devices (IUD) on emotional processing remains unexplored. Our study aimed to investigate how behavioural performance and event-related potentials (ERPs) linked with emotion reactivity and its regulation are associated with hormonal profiles of women using different types of hormonal contraception and naturally cycling women. Women using OCs (n = 25), hormonal IUDs (n = 33), and naturally cycling women in their early follicular (NCF, n = 33) or mid-luteal (NCL, n = 28) phase of the menstrual cycle were instructed to view emotional pictures (neutral, low and high negativity) and use cognitive reappraisal to up- or down-regulate negative emotions, while their electroencephalogram was recorded. Participants rated perceived negativity after each picture and their emotional arousal throughout the task. Saliva samples were collected to assess levels of 17ß-estradiol, progesterone, and testosterone. As expected, emotional arousal increased throughout the task and correlated positively with perceived negativity. Perceived negativity and the amplitudes of the middle (N2/P3) and later (LPP) latency ERP components increased with increasing stimuli negativity. Emotion regulation modulated perceived negativity and the amplitudes of very late ERP components (parietal and frontal LPP). Moreover, IUD-users showed a higher negative amplitude of the frontal N2 in comparison to all three other groups, with the most consistent differences during up-regulation. Finally, testosterone correlated positively with the N2 peak in IUD-users and NCL women. Overall, our findings suggest that IUD-use and testosterone might be related to altered preconscious processing during the emotion regulation task requiring attention to the stimulus. The study underscores the need for additional research into how different hormonal contraceptives are linked to socio-emotional functioning.

Reappraising reappraisal: an expanded view.

Reappraisal is a frequently used and often successful emotion regulation strategy. However, its underlying cognitive mechanisms are not well understood. In this paper, we seek to clarify these mechanisms by expanding upon our recently proposed reAppraisal framework. According to this framework, reappraisal consists of appraisal shifts that arise from changes to the mental construal of a situation (reconstrual) or from changes to the goals that are used to evaluate the construal (repurposing). Here we propose that reappraisal can target both object-level construals and goals representing states in the environment as well as meta-level construals and goals about different states in the mind. We also propose that reappraisal can operate by facilitating decommitment from a dominant construal or goal as well as by facilitating commitment to alternative construals or goals. We demonstrate that the 2 × 2 × 2 matrix formed by crossing the three distinctions between reconstrual and repurposing, between object-level and meta-level representations, and between decommitment and commitment operations forms a useful map of different reappraisal tactics. We draw examples of each of the 8 reappraisal tactics from basic and clinical research. We conclude by considering future research inspired by the expanded reAppraisal framework.

Appraisal shifts during reappraisal.

How to model the processes involved in regulating emotions via reappraisal? In two studies, we tested whether reappraisal impacts emotions through shifts along appraisal dimensions. In a first experimental study, 437 students imagined reliving a recent distressing event and rated their appraisals and emotions before and after using reappraisal to feel less negative about the event. Between 19% and 49% of changes to different emotions were statistically mediated by shifts along 10 appraisal dimensions. Latent profile analyses suggested that the appraisal shifts reflected four distinct reappraisal tactics. These findings were conceptually replicated in an intensive longitudinal Study 2, where 168 participants rated their appraisals and emotions in relation to a maximum of three emotional events for 7 days, first within an hour of the event and again in the evening when they also reported on emotion regulation use (1142 observations). Between 22% and 46% of changes to different emotions accompanying reappraisal use were statistically mediated by shifts along appraisal dimensions. Appraisal shifts were less significant for unregulated and otherwise regulated emotion changes. Relative to Study 1, the latent profile analyses of Study 2 revealed two similar and four novel reappraisal tactics reflecting a broader range of events and feelings. Across both studies, all appraisal dimensions were involved in at least one tactic and no dimension in all of them, highlighting the suitability of multivariate profiles over univariate dimensions for modelling reappraisal. These findings suggest that appraisal shift profiles can be part of a useful model of cognitive processes underlying reappraisal. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The regulation of recurrent negative emotion in the aftermath of a lost election.

For some American voters, the news of Mr. Trump's victory in the 2016 presidential election caused recurrent emotions that were negative, persistent, and intense enough to elicit repeated attempts at emotion regulation. This afforded a rare opportunity to analyse the regulation of recurrent emotions in a natural, non-laboratory context. The regulation of recurrent emotion involves additional considerations relative to single-instance emotion, such as representations of past and future encounters with the emotion-eliciting variables, ongoing consequences of each regulatory episode, and a tendency to repeatedly deploy emotion regulation strategies that one is most familiar with in the context of the particular recurrent emotion. Despite the ubiquitous nature of recurrent emotions, its associated regulatory processes have been infrequently examined and are not well-understood. Over eight days (11/10/16-11/18/16), we administered four surveys to 202 participants who voted against Mr. Trump. We examined the determinants and outcomes of regulatory strategies in the context of recurrent emotion. We found that (1) reappraisal (compared to distraction and acceptance) was associated with greater decline in emotion intensity, (2) high-intensity emotions were more likely to be distracted, whereas low-intensity emotions were more likely to be reappraised, and (3) strategy variability was associated with greater affective adaptation.

Mental illness and well-being: an affect regulation perspective.

Mental health crucially depends upon affective states such as emotions, stress responses, impulses and moods. These states shape how we think, feel and behave. Often, they support adaptive functioning. At other times, however, they can become detrimental to mental health via maladaptive affect generation processes and/or maladaptive affect regulation processes. Here, we present an integrative framework for considering the role of affect generation and regulation in mental illness and well-being. Our model views affect generation as an iterative cycle of attending to, appraising and responding to situations. It views affect regulation as an iterative series of decisions aimed at altering affect generation. Affect regulation decisions include identifying what, if anything, should be changed about affect, selecting where to intervene in the affect generation cycle, choosing how to implement this intervention, and monitoring the regulation attempt to decide whether to maintain, switch or stop it. Difficulties with these decisions, often arising from biased inputs to them, can contribute to manifestations of mental illness such as clinical symptoms, syndromes and disorders. The model has a number of implications for clinical assessment and treatment. Specifically, it offers a common set of concepts for characterizing different affective states; it highlights interactions between affect generation and affect regulation; it identifies assessment and treatment targets among the component processes of affect regulation; and it is applicable to prevention and treatment of mental illness as well as to promotion and restoration of psychological well-being.

Attention biases in preoccupation with body image: An ERP study of the role of social comparison and automaticity when processing body size.

Appearance-related attention biases are thought to contribute to body image disturbances. We investigated how preoccupation with body image is associated with attention biases to body size, focusing on the role of social comparison processes and automaticity. Thirty-six women varying on self-reported preoccupation compared their actual body size to size-modified images of either themselves or a figure-matched peer. Amplification of earlier (N170, P2) and later (P3, LPP) ERP components recorded under low vs. high concurrent working memory load were analyzed. Women with high preoccupation exhibited an earlier bias to larger bodies of both self and peer. During later processing stages, they exhibited a stronger bias to enlarged as well as reduced self-images and a lack of sensitivity to size-modifications of the peer-image. Working memory load did not affect these biases systematically. Current findings suggest that preoccupation with body image involves an earlier attention bias to weight increase cues and later over-engagement with own figure.

Mechanisms of mindfulness: The dynamics of affective adaptation during open monitoring.

Mindfulness - the nonjudgmental awareness of the present experience - is thought to facilitate affective adaptation through increased exposure to emotions and faster extinction of habitual responses. To test this framework, the amplification of the Late Positive Potential (LPP) by negative relative to neutral images was analyzed across stimulus repetitions while 37 novices performed an open monitoring mindfulness exercise. Compared to two active control conditions where attention was either diverted to a distracting task or the stimuli were attended without mindfulness instructions, open monitoring enhanced the initial LPP response to negative stimuli, indicating increased emotional exposure. Across successive repetitions, mindfulness reduced and ultimately removed the affective LPP amplification, suggesting extinction of habitual emotional reactions. This effect arose from reduced negative as well enlarged neutral LPPs. Unlike stimuli from control conditions, the images previously viewed with mindfulness instructions did not elicit affective LPP amplification during subsequent re-exposure, suggesting reconsolidation of stimulus meaning.

Eye contact reveals a relationship between Neuroticism and anterior EEG asymmetry.

Although anterior functional brain asymmetry has been linked to individual differences in affect and motivation, its relations with the Five Factor Model personality traits remain unclear. We investigated anterior EEG alpha-activity asymmetry in response to variable degrees of social contact induced by different gaze directions of a "live" model. Neuroticism was negatively related to the anterior EEG asymmetry scores in response to direct gaze, indicating that higher levels of Neuroticism were associated with avoidance-related, relative right-sided functional brain asymmetry. Neuroticism was also related to behavioral direct gaze avoidance and subjective averted gaze preference. These relationships arose primarily from the Withdrawal aspect factor, suggesting that two subdomains of Neuroticism may be differentially related to approach-avoidance tendencies. These findings demonstrate that experimental manipulations of social contact can reveal personality related differences in anterior EEG asymmetry responsiveness, offering a motivationally salient alternative to resting state measures.

Personality cannot be predicted from the power of resting state EEG.

In the present study we asked whether it is possible to decode personality traits from resting state EEG data. EEG was recorded from a large sample of subjects (n = 289) who had answered questionnaires measuring personality trait scores of the five dimensions as well as the 10 subordinate aspects of the Big Five. Machine learning algorithms were used to build a classifier to predict each personality trait from power spectra of the resting state EEG data. The results indicate that the five dimensions as well as their subordinate aspects could not be predicted from the resting state EEG data. Finally, to demonstrate that this result is not due to systematic algorithmic or implementation mistakes the same methods were used to successfully classify whether the subject had eyes open or closed. These results indicate that the extraction of personality traits from the power spectra of resting state EEG is extremely noisy, if possible at all.