Rôle du tempérament et de la conscience émotionnelle dans la prise de risque chez des adolescents

Bréjard, Vincent; Bonnet, Agnès; Pédinielli, Jean-Louis

doi:10.1016/j.encep.2011.04.005

Cited by 23 publications

(9 citation statements)

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“…This work is motivated to a large degree by the clinical relevance of emotion conceptualization abilities. In the literature on the construct of emotional awareness, for example, lower levels of conceptualization ability have been associated with several psychiatric disorders as well as poorer physical health (Levine et al, 1997;Berthoz et al, 2000;Bydlowski et al, 2005;Donges et al, 2005;Lackner, 2005;Subic-Wrana et al, 2005Frewen et al, 2008;Baslet et al, 2009;Consoli et al, 2010;Moeller et al, 2014); conversely, higher ability levels have been associated with a range of adaptive emotion-related traits and abilities (Lane et al, 1990(Lane et al, , 1996(Lane et al, , 2000Ciarrochi et al, 2003;Barchard and Hakstian, 2004;Bréjard et al, 2012). Multiple evidence-based psychotherapeutic modalities also aim to improve emotion understanding as a central part of psycho-education in psychotherapy (Hayes and Smith, 2005;Barlow et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Simulating Emotions: An Active Inference Model of Emotional State Inference and Emotion Concept Learning

2019

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The ability to conceptualize and understand one's own affective states and responsesor "Emotional awareness" (EA)-is reduced in multiple psychiatric populations; it is also positively correlated with a range of adaptive cognitive and emotional traits. While a growing body of work has investigated the neurocognitive basis of EA, the neurocomputational processes underlying this ability have received limited attention. Here, we present a formal Active Inference (AI) model of emotion conceptualization that can simulate the neurocomputational (Bayesian) processes associated with learning about emotion concepts and inferring the emotions one is feeling in a given moment. We validate the model and inherent constructs by showing (i) it can successfully acquire a repertoire of emotion concepts in its "childhood", as well as (ii) acquire new emotion concepts in synthetic "adulthood," and (iii) that these learning processes depend on early experiences, environmental stability, and habitual patterns of selective attention. These results offer a proof of principle that cognitive-emotional processes can be modeled formally, and highlight the potential for both theoretical and empirical extensions of this line of research on emotion and emotional disorders.

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Section: Introductionmentioning

confidence: 99%

Simulating Emotions: An Active Inference Model of Emotional State Inference and Emotion Concept Learning

2019

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“…It therefore appears plausible to suggest that EWM in individuals with lower tEA might primarily involve the maintenance of bodily percepts, whereas individuals with higher tEA might instead maintain concept-level emotion representations in WM to a greater degree. This individual difference may also be relevant to psychopathology, as lower tEA levels have been associated with both poorer physical health and multiple psychiatric disorders ( Levine et al, 1997 ; Berthoz et al, 2000 ; Bydlowski et al, 2005 ; Donges et al, 2005 ; Lackner, 2005 ; Subic-Wrana et al, 2005 , 2007 ; Frewen et al, 2008 ; Baslet et al, 2009 ; Consoli et al, 2010 ; Moeller et al, 2014 ); higher tEA levels have instead been associated with a range of adaptive emotion-related traits/abilities ( Lane et al, 1990 , 1996 , 2000 ; Ciarrochi et al, 2003 ; Barchard and Hakstian, 2004 ; Bréjard et al, 2012 ).…”

Section: Introductionmentioning

confidence: 99%

Common and Unique Neural Systems Underlying the Working Memory Maintenance of Emotional vs. Bodily Reactions to Affective Stimuli: The Moderating Role of Trait Emotional Awareness

Smith

Lane

Sanova

et al. 2018

Front. Hum. Neurosci.

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Many leading theories suggest that the neural processes underlying the experience of one’s own emotional reactions partially overlap with those underlying bodily perception (i.e., interoception, somatosensation, and proprioception). However, the goal-directed maintenance of one’s own emotions in working memory (EWM) has not yet been compared to WM maintenance of one’s own bodily reactions (BWM). In this study, we contrasted WM maintenance of emotional vs. bodily reactions to affective stimuli in 26 healthy individuals while they underwent functional magnetic resonance imaging. Specifically, we examined the a priori hypothesis that individual differences in trait emotional awareness (tEA) would lead to greater differences between these two WM conditions within medial prefrontal cortex (MPFC). We observed that MPFC activation during EWM (relative to BWM) was positively associated with tEA. Whole-brain analyses otherwise suggested considerable similarity in the neural activation patterns associated with EWM and BWM. In conjunction with previous literature, our findings not only support a central role of body state representation/maintenance in EWM, but also suggest greater engagement of MPFC-mediated conceptualization processes during EWM in those with higher tEA.

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“…However, even emotionally positive faces, if they are mismatched to the circumstances, sometimes evoke disinhibited impulsive responses that can lead to tragic consequences. While emotional expressions automatically affect sensori-perceptual processing [ 2 – 4 ], sensori-perceptual processing of emotional stimuli under attention may prevent response disinhibition [ 5 , 6 ]. On the other hand, sensori-perceptual processing under attention may depend on sensitivity to salient stimuli, such as emotional faces as a function of personality [ 7 ], and be associated with prefrontal-sensory functional connectivity responsible for top-down processing [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Neurophysiological modulation of rapid emotional face processing is associated with impulsivity traits

et al. 2015

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BackgroundSensori-perceptual processing of emotional stimuli under attentive conditions effectively prevents response disinhibition. This is observed saliently in low-impulsive people, because of their high sensitivity to warning signals, such as emotional faces. Results from human neurophysiological studies have been used to develop a dual detector model for early sensori-perceptual processing. A transient detector mechanism is related to automatic neurophysiological arousal in response to warning signals, which is reflected by early frontal event-related potential effects. The memory-based detector mechanism is associated with subsequent mismatch negativity (MMN), which reflects a short-term memory trace of signals. Based on previous findings, we predicted that impulsivity affects functional associations among the dual detector mechanisms, and modulates early frontal and/or MMN activities. In the present study, we recorded electroencephalograms for twenty-one healthy adults using a visual oddball paradigm with neutral faces as frequent stimuli, and angry and happy faces as infrequent stimuli. We measured the impulsivity traits by a self-report scale (the Barratt Impulsiveness Scale, 11th version).ResultsMain findings were that only happy faces increased early frontal negativity and subsequent occipital visual MMN (vMMN) for emotional change, and these neurophysiological effects positively correlated with each other in a temporally causal manner. However, an impulsivity sub-trait positively correlated selectively with vMMN for the happy faces.ConclusionThese findings demonstrate that higher impulsivity is associated with attenuated vMMN for emotional change detection in healthy populations, potentially because of weakened fronto-occipital functional connection that is responsible for the dual detector mechanism.Electronic supplementary materialThe online version of this article (doi:10.1186/s12868-015-0223-x) contains supplementary material, which is available to authorized users.

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Rôle du tempérament et de la conscience émotionnelle dans la prise de risque chez des adolescents

Cited by 23 publications

References 44 publications

Simulating Emotions: An Active Inference Model of Emotional State Inference and Emotion Concept Learning

Simulating Emotions: An Active Inference Model of Emotional State Inference and Emotion Concept Learning

Common and Unique Neural Systems Underlying the Working Memory Maintenance of Emotional vs. Bodily Reactions to Affective Stimuli: The Moderating Role of Trait Emotional Awareness

Neurophysiological modulation of rapid emotional face processing is associated with impulsivity traits

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