Recent advances in the genetics of emotion regulation: a review

Hawn, Sage E.; Overstreet, Cassie; Stewart, Karen; Amstadter, Ananda B.

doi:10.1016/j.copsyc.2014.12.014

Cited by 34 publications

(26 citation statements)

References 42 publications

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“…Although ESCQ is a self-reported measure, as TEI instruments are, it is also based on an AEI framework. In this same direction, others studies using AEI performance measures in male-and-female adolescents have pointed out how girls prefer to use emotional regulation abilities to improve their social functioning and positive states while male adolescents prefer to use them to achieve goals (Mestre et al, 2006;Lopes et al, 2012;Billings et al, 2014;Hawn et al, 2015;Fernandez-Berrocal and Extremera, 2016).…”

Section: Discussionmentioning

confidence: 92%

Do Trait Emotional Intelligence and Dispositional Mindfulness Have a Complementary Effect on the Children’s and Adolescents’ Emotional States?

et al. 2019

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Mindfulness is both a non-judgmental and present-centered awareness, which has been applied to reduce negative emotions. On the other hand, Trait Emotional Intelligence (TEI) is the way of how good people perceive their emotional intelligence abilities (perceiving, expressing, understanding, and regulating emotions), which are involved in people's social functioning. This empirical study was designed to analyze whether dispositional mindfulness (DM) and TEI have a potential combined role for children and adolescent's emotional states. In a sample of primary school students (N = 318), age ranged from 8 to 16 years old (M = 11.25, SD = 2.20), participants filled a TEI measure (ESCQ, Emotional skills and competence questionnaire) and two measures of DM (CAMM, Child and Adolescent Mindfulness Measure and AFQ-Y, Avoidance and Fusion Questionnaire for Youth). Measures selected included: PANAS (Positive affect and negative affect schedule), White Bear Suppression Inventory (a thought suppression inventory), and STAIC (State-Trait Anxiety for Children). Findings pointed out that TEI measures (labeling and expression, understanding, and managing emotions) were positively and significantly related to positive emotional states (especially, positive affect and balance) and negatively with a lower association with state anxiety. However, DM measures were both negatively and strongly associated with negative emotional states (thought suppression, negative affect, and anxiety). Conclusions indicate that a combined effect of both TEI skills and DM based interventions would be more complete than each one separately for better social functioning of children and teenagers.

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Section: Discussionmentioning

confidence: 92%

Do Trait Emotional Intelligence and Dispositional Mindfulness Have a Complementary Effect on the Children’s and Adolescents’ Emotional States?

et al. 2019

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“…For comparison purpose, one could apply HMC or MCMC for statistical inferences (Sidén et al, 2017;Teng et al, 2017). Based on literature, the genetic factors have influence on emotion regulation (Hawn, Overstreet, Stewart, & Amstadter, 2015); accordingly, in addition to fMRI data, by collecting genetic information, additional researches could be done for assessing emotional and cognitive process by modifying genetic factors.…”

Section: Discussionmentioning

confidence: 99%

Functional Brain Response to Emotional Musical Stimuli in Depression, Using INLA Approach for Approximate Bayesian Inference

Naseri

Majd

Tabatabaei

et al. 2019

Basic Clin. Neurosci. J.

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Background: One of the vital skills which has impact on emotional health and well-being is regulation of emotions. In recent years, the neural basis of this process has been considered widely. One of the powerful tool for eliciting and regulating emotion is music. Anterior cingulate cortex (ACC) is part of the emotional neural circuitry involved in major depressive disorder (MDD). The current study uses functional magnetic resonance imaging (fMRI) to examine how neural processing of emotional musical auditory stimuli is changed within the ACC in depression. Statistical inference is conducted using a Bayesian Generalized Linear Model (GLM) approach with Integrated Nested Laplace Approximation (INLA) algorithm. Methods: A new proposed Bayesian approach was applied for assessing functional response to emotional musical auditory stimuli in a block design fMRI data with 105 scans of two healthy and depressed women. In this Bayesian approach, unweighted graph-Laplacian (UGL) prior was chosen for spatial dependency and AR (1) process was used for temporal correlation via preweighting residuals. Finally, inference was conducted using INLA algorithm in the R-INLA package. Results: The results revealed that positive music as compared to negative music elicits stronger activation within ACC area in both healthy and depressed subjects. In comparison of MDD and never-depressed (ND) individuals, significant difference was found between MDD and ND groups in response to positive music vs negative music stimuli. The activations increase from baseline to positive stimuli and decrease from baseline to negative stimuli in ND subject. Also, a significant decrease from baseline to positive stimuli was observed in MDD subject but there was not significant difference from baseline to negative stimuli. Conclusion: Assessing the pattern of activations within ACC in depressed individual may be useful in retraining the ACC and improving its function, and lead to more effective therapeutic interventions.

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“…In the last decades, the biological nature of emotion regulation is being unraveled by empirical studies, taking full advantage of the technological advances in research fields on physiology and neurobiology. Behavioral and molecular genetic studies demonstrate that processes involved in enabling emotion regulation are moderately heritable (estimates vary between 25-55%) and that specific genetic variation (more precisely, common variations in 5-HTT gene and COMT genes) might be involved in emotion regulation processes or brain activity in areas related to emotion regulation (Hawn, Overstreet, Stewart, & Amstadter, 2015). On a neurobiological level, emotion regulation is described as the result of the interplay between bottom-up processes -driven by subcortical brain networks that mature early in life and are involved in emotion activation, such as the amygdala -and top-down processes -driven by cortical brain networks which develop until early adulthood and are involved in regulatory processes, such as the prefrontal cortex (Thompson & Goodman, 2010).…”

Section: Biological Nature Of Emotion Regulationmentioning

confidence: 99%

Emotion Regulation

Kok¹

2017

Encyclopedia of Personality and Individual Differences

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Definition: Emotion regulation refers to the conscious or unconscious processes of monitoring, evaluating, modulating, and managing emotional experiences and expression of emotion in terms of intensity, form, and duration of feelings, emotionrelated physiological states and behaviors.2 Moreover, the current state of knowledge on the relevance of emotion regulation for human development and functioning is addressed, as well as the development of emotion regulation from infancy into adulthood. Defining emotion regulation Theories of emotion regulationSince the early 1990s, empirical interest in emotion regulation increased and different theories on emotion regulation processes emerged, of which the process model of emotion regulation has been most influential (Gross, 2015). In this model, emotion regulation refers to all the processes that are involved in changing the duration and intensity of feelings, and emotion-related physiological states and behaviors. These processes can be conscious and controlled, but also unconscious and automatic. The process model is closely connected to the modal model of emotions, which describes an emotional experience as the result of the nature of a situation, the attention that is paid to this situation, the appraisal of the meaning of this situation, and the emotional response tendency that determines the behavioral, physiological, and experiential component of the emotion.The process model builds on the modal model of emotions, by describing how emotion regulation processes can change the experience of emotion at every stage in this process; either by regulation processes activated before the emotion is triggered, referred to as antecedent-focused regulation, or by processes that change the emotional response after the emotion is already generated, summarized as response-focused regulation (John & Gross, 2004). Examples of antecedent-focused regulation are selecting or adjusting the emotion-eliciting situation -by avoiding a confrontation with a colleague -or adjusting one's focus of attention -by

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Recent advances in the genetics of emotion regulation: a review

Cited by 34 publications

References 42 publications

Do Trait Emotional Intelligence and Dispositional Mindfulness Have a Complementary Effect on the Children’s and Adolescents’ Emotional States?

Do Trait Emotional Intelligence and Dispositional Mindfulness Have a Complementary Effect on the Children’s and Adolescents’ Emotional States?

Functional Brain Response to Emotional Musical Stimuli in Depression, Using INLA Approach for Approximate Bayesian Inference

Emotion Regulation

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