Relevant bibliographies by topics / Emotional processing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Emotional processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 March 2023

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Journal articles on the topic "Emotional processing"

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Reyes-Aguilar, Azalea, and Fernando A. Barrios. "A Preliminary Study of Sex Differences in Emotional Experience." Psychological Reports 118, no. 2 (2016): 337–52. http://dx.doi.org/10.1177/0033294116633350.

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Evolutionary approaches have proposed that women possess an advantage over men in emotional functioning to promote attachment for child-rearing. Likewise, sex differences have been reported in traits such as personality and empathy, traits that likely modulate emotional processing. In this preliminary study, sex differences in emotional processing were analyzed, including empathy as a social emotion and personality traits, as well as whether there exist relationships between those measures. Young volunteers ( N = 105) indicated the emotional valence, activation, and dominance that they experience in situations categorized as emotionally positive, negative, or neutral. The results of comparison between sexes supported the approach that women showed more sensitivity to high activation and dominance for positive emotions and empathy, and men were more sensitive to negative situations. Correlation analysis showed only one positive relationship between scores of Self-transcendence, a subscale of Temperament and Character Inventory, with activation scores of neutral situations, but not with emotionally charged situations, perhaps because emotions are context-dependent processes while personality traits are considered context-independent descriptions of habits. These findings should be replicated to enrich knowledge about problems in emotional processing.
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Okubo, Chisa, and Toshiki Ogawa. "Unconscious and Conscious Processing of Negative Emotions Examined Through Affective Priming." Psychological Reports 112, no. 2 (2013): 607–25. http://dx.doi.org/10.2466/21.07.pr0.112.2.607-625.

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This study investigated unconscious and conscious processes by which negative emotions arise. Participants (26 men, 47 women; M age = 20.3 yr.) evaluated target words that were primed with subliminally or supraliminally presented emotional pictures. Stimulus onset asynchrony was either 200 or 800 msec. With subliminal presentations, reaction times to negative targets were longer than reaction times to positive targets after negative primes for the 200-msec. stimulus onset asynchrony. Reaction times to positive targets after negative or positive primes were shorter when the stimulus onset asynchrony was 800 msec. For supraliminal presentations, reaction times were longer when evaluating targets that followed emotionally opposite primes. When emotional stimuli were consciously distinguished, the evoked emotional states might lead to emotional conflicts, although the qualitatively different effects might be caused when subliminally presented emotion evoking stimulus was appraised unconsciously; that possibility was discussed.
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Cui, Zhongliang, and Jing Liu. "A Study on Two Conditions for the Realization of Artificial Empathy and Its Cognitive Foundation." Philosophies 7, no. 6 (2022): 135. http://dx.doi.org/10.3390/philosophies7060135.

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The realization of artificial empathy is conditional on the following: on the one hand, human emotions can be recognized by AI and, on the other hand, the emotions presented by artificial intelligence are consistent with human emotions. Faced with these two conditions, what we explored is how to identify emotions, and how to prove that AI has the ability to reflect on emotional consciousness in the process of cognitive processing, In order to explain the first question, this paper argues that emotion identification mainly includes the following three processes: emotional perception, emotional cognition and emotional reflection. It proposes that emotional display mainly includes the following three dimensions: basic emotions, secondary emotions and abstract emotions. On this basis, the paper proposes that the realization of artificial empathy needs to meet the following three cognitive processing capabilities: the integral processing ability of external emotions, the integral processing ability of proprioceptive emotions and the processing ability of integrating internal and external emotions. We are open to whether the second difficulty can be addressed. In order to gain the reflective ability of emotional consciousness for AI, the paper proposes that artificial intelligence should include consistency on identification of external emotions and emotional expression, processing of ontological emotions and external emotions, integration of internal and external emotions and generation of proprioceptive emotions.
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Ohira, Hideki. "Predictive Processing of Interoception, Decision-Making, and Allostasis." Psihologijske teme 29, no. 1 (2020): 1–16. http://dx.doi.org/10.31820/pt.29.1.1.

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Emotional intelligence is composed of a set of emotional abilities, including recognition of emotional states in the self and others, the use of emotions to guide thoughts and behaviours, and emotion regulation. Previous studies have demonstrated that emotional intelligence is associated with mental health, social problem solving, interpersonal relationship quality, and academic and job performance. Although emotional intelligence has received much interest both in basic research fields and applied and clinical fields, the mechanisms underlying the functions of emotional intelligence remain unclear. The aim of the present article was to consider the mechanisms of emotional intelligence using a computational approach. Recent theories of emotion in psychology and neuroscience have emphasized the importance of predictive processing. It has been proposed that the brain createsinternal models that can provide predictions for sensation and motor movement, and perception and behaviors emerge from Bayesian computations rooted in these predictions. This theoretical framework has been expanded to include interoceptive perception of the internal body to explain affect and decision-making as phenomena based on interoception. This perspective has implications for understanding issues of emotional intelligence.
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Chaudhary, Shefali, Simon Zhornitsky, Herta H. Chao, Christopher H. van Dyck, and Chiang-Shan R. Li. "Emotion Processing Dysfunction in Alzheimer’s Disease: An Overview of Behavioral Findings, Systems Neural Correlates, and Underlying Neural Biology." American Journal of Alzheimer's Disease & Other Dementias® 37 (January 2022): 153331752210828. http://dx.doi.org/10.1177/15333175221082834.

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We described behavioral studies to highlight emotional processing deficits in Alzheimer’s disease (AD). The findings suggest prominent deficit in recognizing negative emotions, pronounced effect of positive emotion on enhancing memory, and a critical role of cognitive deficits in manifesting emotional processing dysfunction in AD. We reviewed imaging studies to highlight morphometric and functional markers of hippocampal circuit dysfunction in emotional processing deficits. Despite amygdala reactivity to emotional stimuli, hippocampal dysfunction conduces to deficits in emotional memory. Finally, the reviewed studies implicating major neurotransmitter systems in anxiety and depression in AD supported altered cholinergic and noradrenergic signaling in AD emotional disorders. Overall, the studies showed altered emotions early in the course of illness and suggest the need of multimodal imaging for further investigations. Particularly, longitudinal studies with multiple behavioral paradigms translatable between preclinical and clinical models would provide data to elucidate the time course and underlying neurobiology of emotion processing dysfunction in AD.
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Wagenbreth, Kuehne, Voges, Heinze, Galazky, and Zaehle. "Deep Brain Stimulation of the Subthalamic Nucleus Selectively Modulates Emotion Recognition of Facial Stimuli in Parkinson’s Patients." Journal of Clinical Medicine 8, no. 9 (2019): 1335. http://dx.doi.org/10.3390/jcm8091335.

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: Background: Diminished emotion recognition is a known symptom in Parkinson (PD) patients and subthalamic nucleus deep brain stimulation (STN-DBS) has been shown to further deteriorate the processing of especially negative emotions. While emotion recognition generally refers to both, implicit and explicit processing, demonstrations of DBS-influences on implicit processing are sparse. In the present study, we assessed the impact of STN-DBS on explicit and implicit processing for emotional stimuli. Methods: Under STN-DBS ON and OFF, fourteen PD patients performed an implicit as well as an explicit emotional processing task. To assess implicit emotional processing, patients were tested with a lexical decision task (LTD) combined with an affective priming paradigm, which provides emotional content through the facial eye region. To assess explicit emotional processing, patients additionally explicitly rated the emotional status of eyes and words used in the implicit task. Results: DBS affected explicit emotional processing more than implicit processing with a more pronounced effect on error rates than on reaction speed. STN-DBS generally worsened implicit and explicit processing for disgust stimulus material but improved explicit processing of fear stimuli. Conclusions: This is the first study demonstrating influences of STN-DBS on explicit and implicit emotion processing in PD patients. While STN stimulation impeded the processing of disgust stimuli, it improved explicit discrimination of fear stimuli.
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Castro, L. C., and M. Martins. "Emotional Processing in Eating Disorders." European Psychiatry 24, S1 (2009): 1. http://dx.doi.org/10.1016/s0924-9338(09)70974-5.

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Background:Patients with eating disorders are reported to show emotional processing deficits compared to healthy controls.Aim:To study and discuss the role of emotional processing in eating disorders.Methods:Review of the literature.Results:Several studies found a marked impairment in emotional processing in eating disorder patients. These emotion-processing deficits seem to be independent of affective symptoms. Different studies address different concepts as emotional awareness, alexithymia and facial or voice emotional recognition. The emotional processing and functioning of eating disorder patients highly impact their relational styles and behaviour.Discussion:The literature suggests global emotion-processing deficits in eating disorders. The emotion-processing deficits in eating disorder patients may contribute to the poor interpersonal communication, lack of social cognition and lack of empathy frequently seen in these patients. It is extremely important a better understanding of these complex relationships as they can act as maintenance factors of the eating disorder, contributing to social isolation and therapeutic failure. The prognostic implications of these findings, as well as potential therapeutical interventions are topics valuable for future research in this area.
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Förster, Katharina, Marcel Kurtz, Annika Konrad, and Philipp Kanske. "Emotional Reactivity, Emotion Regulation, and Social Emotions in Affective Disorders." Zeitschrift für Klinische Psychologie und Psychotherapie 51, no. 1 (2022): 11–25. http://dx.doi.org/10.1026/1616-3443/a000648.

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Abstract. Affective disorders, specifically Major Depressive Disorder and Bipolar Disorders, show high prevalence, relapse rates, and a high likelihood to develop a chronic course. For the past two decades, research has investigated the neural correlates of emotion processing and emotion regulation in patients with affective disorders. Putative underlying causal mechanisms of dysregulated affect have been informed by knowledge from the intersection of neuroimaging and clinical psychology. More recent investigations also consider processing the role of mostly negative, self-blaming social emotions, which have been linked to treatment resistance and, hence, provide a prolific target for intervention. Several psychotherapeutic treatment approaches already focus on emotion, and here specific knowledge about the mechanisms underlying persistent changes in affect bears the potential to improve the treatment of affective disorders. In this narrative review, we delineate why and how our insights into the neural correlates of emotion processing and regulation can be applied to the treatment of patients with affective disorders.
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Sander, David, and Sylvain Delplanque. "Unconscious emotional processing." Food Quality and Preference 92 (September 2021): 104177. http://dx.doi.org/10.1016/j.foodqual.2021.104177.

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Austin, Elizabeth J. "Emotional intelligence and emotional information processing." Personality and Individual Differences 39, no. 2 (2005): 403–14. http://dx.doi.org/10.1016/j.paid.2005.01.017.

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Dissertations / Theses on the topic "Emotional processing"

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Copestake, Sonja. "Emotional processing in psychopathic offenders." Thesis, Cardiff University, 2011. http://orca.cf.ac.uk/54451/.

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Psychopathy is a disorder that is characterised by significant emotional deficits. The aim of this thesis was therefore to continue to explore emotional processing in a sample of offenders who were assessed as having different levels of psychopathic traits using the PCL-R and a self-report measure the PPI-R. Central to Blair, Mitchell & Blair's (2005) neurocognitive theory of psychopathy is the idea that psychopathic individuals experience specific difficulty identifying fear and sadness in others. Kosson, Suchy, Mayer & Libby (2002) have made an interesting distinction between being able to recognise/label and demonstrate appropriate physiological responsiveness to emotional material. Kosson et al. (2002) concluded that psychopathic individuals do not appear to experience difficulty recognising and labelling fear but they may not experience appropriate physiological responses to such stimuli. One aim of this thesis was to test the theories of Blair et al. (2005) and Kosson et al. (2002). Two different measures of emotional intelligence were therefore administered during this study, an ability EI measure, the MSCEIT and a trait EI measure the TMMS. A facial recognition task (DEFT task) was administered to examine the idea that psychopathic individuals are impaired in their recognition of sad and fearful expressions. An emotional priming task (EPT) was also administered to measure participants' reactions to the emotional valence of slides. Overall, my results are mixed and appear to provide some support for both Blair et al.'s (2005) and Kosson et al.'s theories (2002). In support of Blair et al.'s (2005) theory I found that psychopathic individuals experience difficulty identifying sadness in others. In support of Kosson et al.'s theory (2002) I found no evidence at all that participants with high levels of psychopathy demonstrated poorer performance at detecting or labelling fear. I also found that participants with high scores on PPI-I of the PPI-R demonstrated superior performance at recognising and labelling anger. In the EPT, I also found that Factor 2 of the PCL-R was related to poor responsiveness to the emotional content of negative slides. One finding, which is of particular interest, is the significant negative correlation between MSCEIT and TMMS total scores. One possible explanation for these results is that they provide evidence that the TMMS and MSCEIT may be tapping different underlying constructs associated with EI. However, these results suggest that participants who rated themselves as having high levels of EI on the TMMS actually demonstrated poor performance on the MSCEIT. This result may reflect the fact that participants lacked insight into the difficulties they experienced in accurately identifying and managing emotions. These results also provide support for Patrick & Bernat (2009) and Patrick's (2010) ideas that the PPI and PCL-R are measuring different underlying constructs of psychopathy. I found that the underlying factors of the PCL-R were related but this was not the case for the PPI-R. I also found that Factor 1 of the PCL-R was related to the Coldheartedness scale of the PPI-R but not PPI-I. The PCL-R and PPI-R also demonstrated different relationships with the tasks used in this research.
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Rock, Philippa L. "Emotional processing and bipolar disorder." Thesis, University of Oxford, 2010. http://ora.ox.ac.uk/objects/uuid:f4a311fe-3bda-40cc-852a-11dbde8f436c.

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The aetiology of bipolar disorder remains unclear and investigation to date has focussed largely on bipolar patients. Whilst ultimately of huge value, such studies may also be confounded by current mood or experience of repeated illness episodes or current or past medication; using at-risk samples may bypass some of these problems. The current research therefore assessed the efficacy of the Mood Disorder Questionnaire (MDQ) as a screening tool for vulnerability to bipolar disorder. The MDQ was used with two sets of criteria to identify two sub-groups of medication-naïve young bipolar phenotype subjects who were at risk for bipolar disorder by virtue of experience of mood elevation. Analysis of data from the Student Stress Survey was carried out to characterise the bipolar phenotype. Compared to a control group with no experience of mood elevation, the two bipolar phenotype sub-groups showed a gradient of prevalence of bipolar diagnosis and associated co-morbidity. Behavioural and functional magnetic resonance imaging (fMRI) techniques were employed to investigate emotional processing, decision-making, and sleep and circadian rhythmicity in bipolar phenotype students. Analyses revealed that positive emotional processing biases, disrupted decision-making, and increased activity during sleep were associated with the bipolar phenotype and, therefore, may represent vulnerability markers for bipolar disorder. Finally, a psychopharmacological investigation of quetiapine, which stabilises mood, was carried out in healthy volunteers. One-week quetiapine administration resulted in biases away from both positive and negative emotional stimuli (i.e. a mood-stabilising effect), reduced discrimination between different magnitudes of gains and losses during risky decision-making (consistent with an antidepressant effect), and increased sleep duration. In sum, this research has developed our understanding of vulnerability markers associated with the bipolar phenotype and provided a first step towards uncovering the psychological mechanisms through which quetiapine’s clinical effects may be mediated.
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Howells, Glen. "Emotional processing and episodic memory." Thesis, Bournemouth University, 2013. http://eprints.bournemouth.ac.uk/20965/.

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The research reported within this dissertation investigates how individuals’ capacity to assimilate emotionally disruptive events is associated with particular features of episodic and autobiographical memory formation. It is inspired by Rachman’s (1980, 2001) formulation of emotional processing, and his subsequent proposals to explore the general mechanisms by which emotional disruptions are overcome. The specific rationale is informed by multilevel emotion theories, theories of post-traumatic stress disorder, and models of emotional processing. The research considered whether individuals who exhibit signs of a poor emotional processing style tend to encode events generally in a sensory-perceptual manner, with comparative deficits in their capacity to conceptually process data. Methodologically, the studies identify poor and effective emotional processors by using Baker et al.’s (2009) emotional processing scale as a grouping measure. The studies explore differences between groups of poor and effective emotional processors’ performance over a range of memory tasks drawn from episodic and autobiographical memory studies to detect evidence for a sensory- perceptual style of event and stimulus processing which is presumed to be indicated by a surfeit of perceptual details, heightened reported vividness, and a relative lack in conceptual ordering, narrative coherence and verbal indexing. Three general categories of memory are explored: memory for experimentally presented item lists, memory for extended narrative presentations and memory for naturally occurring events retained in long-term autobiographical memory representations. The evidence suggests a tendency to process in a sensory-perceptual manner amongst poor emotional processors for both experimental item lists, as well as in long term autobiographical memory investigations, whereas few differences between groups emerged for the study of narrative recollection. There was little evidence, by contrast, that effective emotional processors were superior at the conceptual processing of events or data. These results are discussed in terms of providing confirmation for information processing accounts of emotional disruptions and disorders which stress the aetiological significance in psychopathological conditions of how events are encoded, rendering such events accessible to broader autobiographical memory bases and conceptual elaboration. Furthermore, the importance of establishing more robust and testable definitions of conceptual processing is stressed.
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Fox, John R. E. "Emotional processing in eating disorders." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/29107.

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Research into emotional processing in eating disorders (ED) is still very much in its infancy. Milligan and Waller (2000), Waller et al (2003) and others have shown that there is difficulty with the emotion of anger, especially in its expression. Whilst others (e.g. Troop et al, 2000) have demonstrated an increased sensitivity for disgust with an ED population. In recent years, there has been significant development in CBT models of eating disorders; in particular, bulimia nervosa and these models have started to suggest that eating disorder symptomatology acts as an emotional regulator (e.g. Cooper et al, 2004; Waller et al, 2007). Although these models are a useful start in understanding emotions in eating, there is a lack of a theoretical understanding of why people with eating disorders have particular difficulties with certain emotions. This thesis presented a detailed consideration of the literature that has attempted to understand the relationship between emotions and eating disorder symptomatology by proposing a new model of eating disorders that is based upon the recent theoretical developments in emotional processing (i.e. SPAARS model, Power and Dalgleish, 1997, 1999). This SPAARS-ED model was used as the theoretical backdrop for the thesis, and the data from the four studies were designed to test some of the key hypotheses stemming from the model. The first study was a grounded theory study that investigated perceptions of the basic emotions and the developmental histories of emotions within a group of 11 people with severe anorexia nervosa. The results highlighted themes of anger and sadness being suppressed, and were often regarded as being 'toxic'. Furthermore, themes were also explored that focused on metaemotional skills and participants recollections of how their parents, peers and caregivers used to respond to their emotions. The second study directly tested the theoretical idea of 'coupled emotions', and this study found data that demonstrated increased levels of disgust following an anger induction for people with bulimic symptoms, in comparison to control participants. The third study was a survey based study that quantitatively looked at both the predictive power of each of the basic emotions for disordered eating patterns, and also how certain emotion response styles from carers (e.g. punitive, dismissive, etc towards an emotion) were related to disorder eating. The results showed that anger and sadness predicted eating disorder symptoms, and the effect was large. However, there were no significant associations between emotion response styles and disordered eating. The final study was a hybrid study that was based on the two quantitative studies in this thesis. In a cross sectional study, a group of participants with anorexia nervosa were compared to control participants. This study had two parts, with the first part focusing on emotion regulation styles and core beliefs, whilst the second part repeated and developed the experimental methodology from study 2. The results showed that people with anorexia nervosa had significantly more internal dysfunctional emotion regulation style, and significantly more negative beliefs about the self and others when compared to controls. Interestingly these core beliefs patterns were significantly correlated with state emotions, with negative other beliefs being correlated to state anger, whilst negative internal beliefs were significantly correlated to state emotions of disgust and sadness. The second part of this study showed that, following an induced anger emotion, people with anorexia nervosa showed significantly higher levels of disgust, and estimation of body size. This was taken as further evidence of a potential coupled emotion effect, between anger and disgust within eating disorders. These findings were then discussed, in relation to both the SPAARS-ED model, and the general literature.
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Gray, Katie L. H. "Unconscious processing of emotional faces." Thesis, University of Southampton, 2011. https://eprints.soton.ac.uk/341583/.

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Due to capacity limits, the brain must select important information for further processing. Evolutionary-based theories suggest that emotional (and specifically threat-relevant) information is prioritised in the competition for attention and awareness (e.g. Ohman & Mineka, 2001). A range of experimental paradigms have been used to investigate whether emotional visual stimuli (relative to neutral stimuli) are selectively processed without awareness, and attract visual attention (e.g. Yang et al., 2007). However, very few studies have used appropriate control conditions that help clarify the extent to which observed effects are driven by the extraction of emotional meaning from these stimuli, or their low-level visual characteristics (such as contrast, or luminance). The experiments in this thesis investigated whether emotional faces are granted preferential access to awareness and which properties of face stimuli drive these effects. A control stimulus was developed to help dissociate between the extraction of emotional information and low-level accounts of the data. It was shown that preferential processing of emotional information is better accounted for by low-level characteristics of the stimuli, rather than the extraction of emotional meaning per se. Additionally, a robust ‘face’ effect was found across several experiments. Investigation of this effect suggested that it may not be driven by the meaningfulness of the stimuli as it was also apparent in an individual that finds it difficult to extract information from faces. Together these findings suggest that high-level information can be extracted from visual stimuli outside of awareness, but the prioritisation afforded to emotional faces is driven by low-level characteristics. These results are particularly timely given continued high-profile debate surrounding the origins of emotion prioritisation (e.g. Tamettio & de Gelder, 2010; Pessoa & Adolphs, 2010).
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Le, Gal Patricia Margaret. "Cognitive aspects of emotional expression processing." Thesis, University of Stirling, 1999. http://hdl.handle.net/1893/1772.

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This thesis investigates the hypothesis that emotions play an influential role in cognition. Interference between facial emotional expression processing and selected tasks is measured using a variety of experimental methods. Prior to the main experimental chapters, the collection and assessment (Chapter 2, Exp. 1) of stimulus materials is described. Experiments 2-11 then concentrate on the likelihood of interference with other types of information from the face. Findings using a Garner design suggest that, although identity processing may be independent of expression variation, expression processing may be influenced by variation in identity (Exps. 2-4). Continued use of this design with sex (Exps. 6-7) and gaze direction (Exps. 9-10) information appears to support the (mutual) independence of these facial dimensions from expression. This is, however, in contrast to studies that indicate the modification of masculinity judgements by expression (Exp. 5), and the interaction of gaze direction and expression when participants rate how interesting they find a face (Exp. 8). Further to this, a search task (Exp. 11) shows that slower responses to an angry (cf. happy) face looking at us, may be due to the presence of an aversive mouth. Experiments 12-15 test for interference in the field of time perception: complex interactions between expression and encoder and decoder sex are indicated. Finally, Experiments 16-17 find that exposure to a sequence in which the majority of faces are angry depresses probability learning, and that prior exposure to varying quantities of angry and happy faces affects our later memory for them. Overall, there is evidence that exposure to emotional expressions may affect other (selected)c ognitive processesd ependingu pon which expressionsa re used and which experimental methods are chosen. It is suggested that future investigations would benefit from techniques that describe the temporal profile of an emotional response.
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Bradbury, Katherine E. "Information processing biases in emotional disorders." Thesis, University of Southampton, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368153.

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Chan, Stella Wing Yan. "Vulnerability to depression and emotional processing." Thesis, University of Oxford, 2008. http://ora.ox.ac.uk/objects/uuid:4d472e39-81f4-4b2d-a230-977425dd01d0.

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Risk factors for depression have long been identified. However, it remains unclear what are the mechanisms whereby these risk factors lead to depression. Therefore the current research examined cognitive and neurophysiological functioning in a sample of high risk vs. low risk never-depressed young adults. Risk for depression was defined by high neuroticism (N) scores on the Eysenck Personality Questionnaire (EPQ). Results indicated that, compared to low N volunteers, high N volunteers show widespread negative biases across emotional processing tasks, including self-referent words categorization and memory, facial expression recognition, and emotion potentiated startle. The neural substrates of these negative biases were further illustrated by our brain-imaging experiments using fMRI. In these studies, high N is associated with increased neural signals for negative self-referent personality attributes and fearful facial expressions in a distributed network known to be involved in emotional processing, including the fusiform-amygdala circuitry, anterior cingulate, and the superior parietal cortex. By contrast, these neurocognitive biases did not seem to be accompanied by impairments in more global executive function or disturbances in biological response to stress measured by awakening salivary cortisol. Consistent with the idea that emotional processing biases represent key mechanisms underlying vulnerability to depression, our final longitudinal study showed that depression symptoms in high N volunteers were well predicted (up to 91%) at an 18 month follow up by a combination of these negative biases and stressful life events. Taken together, the current investigations therefore suggest that neurocognitive biases in emotional processing are trait vulnerability markers for depression prior to illness onset.
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Schafer, Molly Clark. "Emotional Processing Deficits in Parkinson's Disease." Thesis, The University of Sydney, 2008. http://hdl.handle.net/2123/3687.

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Introduction: Parkinson’s disease (PD) is known to cause detrimental effects to motor function and cognition. The motor effects of the disease in turn impact emotion expression in patients with PD. There is conflicting evidence in research, however, as to whether PD also affects emotion comprehension, and if so, what emotions in particular are affected and across what modalities. This study aimed to investigate the effects of PD on a broad range of skills involved in basic and complex emotion comprehension. Whether these effects extend into other areas associated with emotion processing, such as social cognition and autobiographical memory, was also explored. Methods: Sixteen patients with PD participated in the study along with sixteen control subjects who were matched for age, gender, education level and estimated premorbid intelligence. The PD participants, on average, were in the moderate phase of the disease and taking PD medication, including dopamine. Participants were tested on a range of recognition measures including prototypical and morphed facial expressions with reduced intensity (40 and 80%), emotion prosody, written emotion vignettes, emotional imagery, pictures of emotion, social cognition, and a cued autobiographical memory task. A mood inventory was given, and disease severity and duration were noted. Results: The PD group did not show pervasive deficits in emotion recognition overall. Deficits were demonstrated in prosody recognition, specifically with fearful tones, and in an incongruent prosody task, specifically with angry and neutral tones. The PD group was not able to recognise facial expressions of disgust (mixed intensities) as well as controls, with the result showing a trend toward significance. PD participants were also significantly worse in Theory of Mind (TOM) reasoning but not at another social cognition measure involving recognising social emotions through expressions from the eyes only. There were no differences between the groups across all other tests. Discussion: PD is thought to cause subtle deficits in emotion comprehension which are only elucidated through complex tasks. The effects of PD on complex processing also impact TOM performance, which relies on skills involved in complex emotion recognition. Effects of mood and disease factors on performance were circumscribed. Evidence suggested that the basal ganglia and fronto-striatal connections play a role in emotion comprehension.
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Schafer, Molly Clark. "Emotional Processing Deficits in Parkinson's Disease." University of Sydney, 2008. http://hdl.handle.net/2123/3687.

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Doctor of Clinical Neuropsychology/Master of Science<br>Introduction: Parkinson’s disease (PD) is known to cause detrimental effects to motor function and cognition. The motor effects of the disease in turn impact emotion expression in patients with PD. There is conflicting evidence in research, however, as to whether PD also affects emotion comprehension, and if so, what emotions in particular are affected and across what modalities. This study aimed to investigate the effects of PD on a broad range of skills involved in basic and complex emotion comprehension. Whether these effects extend into other areas associated with emotion processing, such as social cognition and autobiographical memory, was also explored. Methods: Sixteen patients with PD participated in the study along with sixteen control subjects who were matched for age, gender, education level and estimated premorbid intelligence. The PD participants, on average, were in the moderate phase of the disease and taking PD medication, including dopamine. Participants were tested on a range of recognition measures including prototypical and morphed facial expressions with reduced intensity (40 and 80%), emotion prosody, written emotion vignettes, emotional imagery, pictures of emotion, social cognition, and a cued autobiographical memory task. A mood inventory was given, and disease severity and duration were noted. Results: The PD group did not show pervasive deficits in emotion recognition overall. Deficits were demonstrated in prosody recognition, specifically with fearful tones, and in an incongruent prosody task, specifically with angry and neutral tones. The PD group was not able to recognise facial expressions of disgust (mixed intensities) as well as controls, with the result showing a trend toward significance. PD participants were also significantly worse in Theory of Mind (TOM) reasoning but not at another social cognition measure involving recognising social emotions through expressions from the eyes only. There were no differences between the groups across all other tests. Discussion: PD is thought to cause subtle deficits in emotion comprehension which are only elucidated through complex tasks. The effects of PD on complex processing also impact TOM performance, which relies on skills involved in complex emotion recognition. Effects of mood and disease factors on performance were circumscribed. Evidence suggested that the basal ganglia and fronto-striatal connections play a role in emotion comprehension.
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Books on the topic "Emotional processing"

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Timoney, Linden R., and Mark D. Holder. Emotional Processing Deficits and Happiness. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7177-2.

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Ruskan, John. Emotional clearing: The handbook of integrative processing. R. Wyler, 1993.

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Bąk, Halszka. Emotional Prosody Processing for Non-Native English Speakers. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44042-2.

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Olasov, Rothbaum Barbara, ed. Pathological anxiety: Emotional processing in etiology and treatment. Guilford Press, 2005.

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1966-, Bolls Paul David, ed. Psychophysiological measurement and meaning: Cognitive and emotional processing of media. Routledge, 2012.

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Hull, Timothy James. The role of the amygdala in social and emotional processing. University of Birmingham, 1997.

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Hull, Timothy James. The role of the amygdala in social and emotional processing. University of Birmingham, 1997.

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O'Donohue, Miriam. Cognitive processing of emotional information in non-clinical obsessional behaviour. The Author], 1997.

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Ann, Hembree Elizabeth, and Rothbaum Barbara Olasov, eds. Prolonged exposure therapy for PTSD: Emotional processing of traumatic experiences : therapist guide. Oxford University Press, 2007.

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Keightley, Michelle L. An fMRI study of amygdala activation during emotional processing of faces and picutres. National Library of Canada, 1999.

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Book chapters on the topic "Emotional processing"

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Peterson, James K. "Emotional Models." In BioInformation Processing. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-871-7_10.

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Chakraborty, Aruna, and Amit Konar. "Preliminaries on Image Processing." In Emotional Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-68609-5_3.

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Winkielman, Piotr, Norbert Schwarz, and Andrzej Nowak. "5. Affect and processing dynamics." In Emotional Cognition. John Benjamins Publishing Company, 2002. http://dx.doi.org/10.1075/aicr.44.05win.

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Baumann, Oliver, and Jason B. Mattingley. "Cerebellum and Emotion Processing." In The Emotional Cerebellum. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99550-8_3.

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Marques, Lucas Murrins, Patrícia Cabral, William Edgar Comfort, and Paulo Sérgio Boggio. "Development of Morality and Emotional Processing." In Social and Affective Neuroscience of Everyday Human Interaction. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08651-9_7.

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AbstractEmotions play a very important role in moral judgments. Hume argues that morality is determined by feelings that make us define whether an attitude is virtuous or criminal. This implies that an individual relies on their past experience to make a moral judgment, so that when the mind contemplates what it knows, it may trigger emotions such as disgust, contempt, affection, admiration, anger, shame, and guilt (Hume D. An enquiry concerning the principles of morals, 1777 ed. Sec. VI, Part I, para, 196, 1777). Thus, even so-called “basic” emotions can be considered as moral emotions. As Haidt (The moral emotions. In: Handbook of affective sciences, vol 11, 852–870, Oxford University Press, 2003) points out, all emotional processing that leads to the establishment and maintenance of the integrity of human social structures can be considered as moral emotion. Consequently, the construct of “morality” is often characterized by a summation of both emotion and cognitive elaboration (Haidt J. Psychol Rev, 108(4):814, 2001).
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Yin, Yanjun, Weiqing Tang, and Weiqing Li. "Modeling Group Emotion Based on Emotional Contagion." In Intelligent Information Processing VI. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32891-6_31.

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Schwartz, Sophie. "Emotional Processing in Narcolepsy." In Narcolepsy. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8390-9_24.

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Teh, Elizabeth J. "Emotional Processing in ASD." In Encyclopedia of Autism Spectrum Disorders. Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4614-6435-8_102316-1.

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Whitten, Shannon. "Emotional Processing of Art." In Psychology, Art and Creativity. Routledge, 2022. http://dx.doi.org/10.4324/9781003014362-9.

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Herrmann, Imke R., and Lars Auszra. "Facilitating optimal emotional processing." In Clinical handbook of emotion-focused therapy. American Psychological Association, 2019. http://dx.doi.org/10.1037/0000112-009.

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Conference papers on the topic "Emotional processing"

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Silva, Rogeria Cristina, Raquel Luíza Carvalho, and Marcia Cristina Dourado. "THE IMPACT OF ALZHEIMER’S DISEASE ON EMOTIONAL PROCESSING." In XIII Meeting of Researchers on Alzheimer's Disease and Related Disorders. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1980-5764.rpda053.

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Background: Emotional processing involves the ability of the individual to infer emotional information. There is no consensus about how Alzheimer’s disease (AD) affects emotional processing. Objective: We aim to systematically review the impact of AD on emotion processing Method: We conducted a search based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The literature search was performed using the electronic databases MEDLINE (Pubmed) and Science Citation Index (ISI). The following descriptors were used in the review process: emotion or emotional processing, cognition or cognitive functions and Alzheimer disease or Alzheimer’s disease. This systematic review was recorded in the International Prospective Register of Systematic Reviews (PROSPERO) under the number CRD42018115891. Results: We identified 425 articles, 19 of which met our criteria. Visual emotional stimuli were the most used among studies. Most studies used tasks of emotional naming, discrimination, identification and correspondence. The results were contradictory. Many studies reported that individuals with AD were impaired on emotional perception tasks, while others results reported preserved skills. The relationship between emotional processing and cognition is also unclear. Some studies suggested that general cognitive performance affects performance in emotional perception tasks among people with AD, but other studies have shown deficits in recognizing emotion, regardless cognitive performance. Conclusions: Studies are scarce, present contradictory results, and report impairment in emotional processing in relation to cognition. Moreover, analyzes of correlation between emotion processing and cognitive functioning failed to reveal clear relationships.
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Tato, Raquel, Rocío Santos, Ralf Kompe, and J. M. Pardo. "Emotional space improves emotion recognition." In 7th International Conference on Spoken Language Processing (ICSLP 2002). ISCA, 2002. http://dx.doi.org/10.21437/icslp.2002-557.

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Beffara, Brice, Marc Ouellet, Nicolas Vermeulen, Anamitra Basu, and Martial Mermillod. "Ambiguous Emotional Processing and Embodiment." In Annual International Conference on Cognitive and Behavioral Psychology. Global Science & technology Forum ( GSTF ), 2016. http://dx.doi.org/10.5176/2251-1865_cbp16.3.

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KERSSENS, C., G. H. LUBKE, R. H. PHAF, and B. BONKE. "EMOTIONAL PROCESSING DURING GENERAL ANAESTHESIA." In Proceedings of the Fourth International Symposium. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2000. http://dx.doi.org/10.1142/9781848160231_0035.

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Fan, Yangyu, Hansen Yang, Zuhe Li, and Shu Liu. "Predicting Image Emotion Distribution by Emotional Region." In 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2018. http://dx.doi.org/10.1109/cisp-bmei.2018.8633190.

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Wang, Zhen-hao, Yi Wang, Dong-ni Pan, and Xuebing Li. "Neural Correlates of Emotional Regulation Processing." In ICBCB 2018: 2018 6th International Conference on Bioinformatics and Computational Biology. ACM, 2018. http://dx.doi.org/10.1145/3194480.3194502.

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Chen, Xuhai, and Yufang Yang. "Precedence of Emotional Features in Emotional Prosody Processing: Behavioral and ERP Evidence." In 2010 International Conference on Asian Language Processing (IALP). IEEE, 2010. http://dx.doi.org/10.1109/ialp.2010.22.

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Pao, Tsang-Long, Charles S. Chien, Jun-Heng Yeh, Yu-Te Chen, and Yun-Maw Cheng. "Continuous Tracking of User Emotion in Mandarin Emotional Speech." In Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/iihmsp.2007.4457490.

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Oflazoglu, Caglar, and Serdar Yildirim. "Binary classification performances of emotion classes for Turkish Emotional Speech." In 2015 23th Signal Processing and Communications Applications Conference (SIU). IEEE, 2015. http://dx.doi.org/10.1109/siu.2015.7130352.

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Chuang, Ze-Jing, and Chung-Hsien Wu. "Emotion recognition from textual input using an emotional semantic network." In 7th International Conference on Spoken Language Processing (ICSLP 2002). ISCA, 2002. http://dx.doi.org/10.21437/icslp.2002-558.

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Reports on the topic "Emotional processing"

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Morphett, Jane, Alexandra Whittaker, Amy Reichelt, and Mark Hutchinson. Perineuronal net structure as a non-cellular mechanism of affective state, a scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.8.0075.

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Is the perineuronal net structure within emotional processing brain regions associated with changes in affective state? The objective of this scoping review is to bring together the literature on human and animal studies which have measured perineuronal net structure in brain regions associated with emotional processing (such as but not limited to amygdala, hippocampus and prefrontal cortex). Perineuronal nets are a specialised form of condensed extracellular matrix that enwrap and protect neurons (Suttkus et al., 2016), regulate synaptic plasticity (Celio and Blumcke, 1994) and ion homeostasis (Morawski et al., 2015). Perineuronal nets are dynamic structures that are influenced by external and internal environmental shifts – for example, increasing in intensity and number in response to stressors (Blanco and Conant, 2021) and pharmacological agents (Riga et al., 2017). This review’s objective is to generate a compilation of existing knowledge regarding the structural changes of perineuronal nets in experimental studies that manipulate affective state, including those that alter environmental stressors. The outcomes will inform future research directions by elucidating non-cellular central nervous system mechanisms that underpin positive and negative emotional states. These methods may also be targets for manipulation to manage conditions of depression or promote wellbeing. Population: human and animal Condition: affective state as determined through validated behavioural assessment methods or established biomarkers. This includes both positive and negative affective states. Context: PNN structure, measuringPNNs.
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In Conversation… Dr. Ramya Mohan. ACAMH, 2019. http://dx.doi.org/10.13056/acamh.9307.

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