Depressed Mood, Rumination, and Heart Rate Variability in At-Risk University Students

openBackground: Substantial evidence supports the association between rumination and depressive symptoms. Furthermore, autonomic dysregulation, as indexed by low levels of heart rate variability (HRV) is related to both maladaptive emotional regulation (e.g., rumination) and depressive symptoms. Aim of the study: The purpose of this study was to investigate the interplay between heart rate variability, rumination, and depressive symptoms. Specifically, this study focused on the possible moderating role of heart rate variability in the association between rumination and depression. Methods: 31 individuals took part in the study (10 males, 21 females). Self-report questionnaires were used to assess rumination and depressive symptoms (Ruminative Response Scale and Beck Depression Inventory-II, respectively). A time-domain measure of vagally mediated heart rate variability (rMSSD) was computed from short electrocardiogram recordings obtained through a smartphone-based photoelectric volumetric pulse wave assay. Results and conclusions: The findings of this study indicate that both rumination and vagally mediated HRV (as measured by rMSSD) are significantly associated with depressive symptoms. Specifically, those with greater rumination and those with lower heart rate variability exhibited higher levels of depressive symptoms. Additionally, the results demonstrate that the association between rumination and depression is moderated by heart rate variability: among individuals with greater rumination, those with reduced HRV had higher levels of depression. These findings highlight the complex interplay between autonomic dysregulation and cognitive dysfunctions involved in depressive symptoms. The study suggests the importance of considering both cognitive-affective (i.e., rumination) and autonomic (HRV) factors to improve the understanding of depression and develop targeted interventions for its management. Limitations of this study include its cross-sectional design, which restricts causal inferences and the assessment of predictive relationships, and the potential limitations introduced by conducting the study remotely, suggesting the need for future longitudinal research and replication in controlled laboratory settings

Eye quietness and quiet eye in expert and novice golf performance: an electrooculographic analysis

Quiet eye (QE) is the final ocular fixation on the target of an action (e.g., the ball in golf putting). Camerabased eye-tracking studies have consistently found longer QE durations in experts than novices; however, mechanisms underlying QE are not known. To offer a new perspective we examined the feasibility of measuring the QE using electrooculography (EOG) and developed an index to assess ocular activity across time: eye quietness (EQ). Ten expert and ten novice golfers putted 60 balls to a 2.4 m distant hole. Horizontal EOG (2ms resolution) was recorded from two electrodes placed on the outer sides of the eyes. QE duration was measured using a EOG voltage threshold and comprised the sum of the pre-movement and post-movement initiation components. EQ was computed as the standard deviation of the EOG in 0.5 s bins from –4 to +2 s, relative to backswing initiation: lower values indicate less movement of the eyes, hence greater quietness. Finally, we measured club-ball address and swing durations. T-tests showed that total QE did not differ between groups (p = .31); however, experts had marginally shorter pre-movement QE (p = .08) and longer post-movement QE (p < .001) than novices. A group × time ANOVA revealed that experts had less EQ before backswing initiation and greater EQ after backswing initiation (p = .002). QE durations were inversely correlated with EQ from –1.5 to 1 s (rs = –.48 - –.90, ps = .03 - .001). Experts had longer swing durations than novices (p = .01) and, importantly, swing durations correlated positively with post-movement QE (r = .52, p = .02) and negatively with EQ from 0.5 to 1s (r = –.63, p = .003). This study demonstrates the feasibility of measuring ocular activity using EOG and validates EQ as an index of ocular activity. Its findings challenge the dominant perspective on QE and provide new evidence that expert-novice differences in ocular activity may reflect differences in the kinematics of how experts and novices execute skills

Compassion for the Self and Well-Being: Psychological and Biological Correlates of a New Concept

This thesis applied a triangulation of behavioural and physiological methods to explore potential psychological and biological correlates accompanying the short-term cultivation of self-compassion in both healthy and clinical samples. Drawing on theory and previous research on self-compassion, the aim of this thesis was to investigate if the cultivation of self-compassion enhances positive affiliative affect and a greater tendency to prefer positively valenced information about the self. It was hypothesised that increased positive affiliative affect would be accompanied by the activation of the soothing and contentment system, a system characterised by the dynamic balancing of the sympathetic and parasympathetic nervous systems. A series of four experimental psychophysiological studies in healthy individuals and those with a history of recurrent depression was conducted. The results of these broadly supported this hypothesis. Detailed exploration of the results indicated that the proposed protective effects of self-compassion via the stimulation of the soothing and contentment affect system and access to a more positive perception of the self may rely on important individual differences in levels of self-criticism, insecure attachment, and history of childhood adversity and might be made more challenging when there is an underlying psychopathology such as recurrent depression. In this context, the results of this thesis indicate that more indirect approaches to cultivate self-compassion like the compassionate body-scan or mindfulness-based cognitive therapy (MBCT) might enable these individuals to access and activate the soothing and contentment system. Taken together, this research suggests that the cultivation of self-compassion might contribute to resilience in the face of negative thoughts, memories, feelings and depressive symptoms, because it is accompanied by psychophysiological response patterns that are suggested to be associated with adaptive emotion regulation and self-soothing in times of distress

The emergence of team resilience: A multilevel conceptual model of facilitating factors

With empirical research on team resilience on the rise, there is a need for an integrative conceptual model that delineates the essential elements of this concept and offers a heuristic for the integration of findings across studies. To address this need, we propose a multilevel model of team resilience that originates in the resources of individual team members and emerges as a team-level construct through dynamic person–situation interactions that are triggered by adverse events. In so doing, we define team resilience as an emergent outcome characterized by the trajectory of a team's functioning, following adversity exposure, as one that is largely unaffected or returns to normal levels after some degree of deterioration in functioning. This conceptual model offers a departure point for future work on team resilience and reinforces the need to incorporate inputs and process mechanisms inherent within dynamic interactions among individual members of a team. Of particular, importance is the examination of these inputs, process mechanisms and emergent states, and outcomes over time, and in the context of task demands, objectives, and adverse events. Practitioner points: Team resilience as a dynamic, multilevel phenomenon requires clarity on the individual- and team-level factors that foster its emergence within occupational and organizational settings. An understanding of the nature (e.g., timing, chronicity) of adverse events is key to studying and intervening to foster team resilience within occupational and organizational settings

Cost‐effectiveness and cost‐utility evaluation of individual vs. group transdiagnostic psychological treatment for emotional disorders in primary care (PsicAP‐Costs): a multicentre randomized controlled trial protocol

Background: Emotional disorders are common, and they have become more prevalent since the COVID‐19 pan‐ demic. Due to a high attendance burden at the specialized level, most emotional disorders in Spain are treated in primary care, where they are usually misdiagnosed and treated using psychotropic drugs. This contributes to perpetu‐ ate their illness and increase health care costs. Following the IAPT programme and the transdiagnostic approach, the PsicAP project developed a brief group transdiagnostic cognitive‐behavioural therapy (tCBT) as a cost‐effective alternative. However, it is not suitable for everyone; in some cases, one‐on‐one sessions may be more effective. The objective of the present study is to compare, in cost‐benefit terms, group and individual tCBT with the treatment usu‐ ally administered in Spanish primary care (TAU). Methods: A randomized, controlled, multicentre, and single‐blinded trial will be performed. Adults with mild to moderate emotional disorders will be recruited and placed in one of three arms: group tCBT, individual tCBT, or TAU. Medical data and outcomes regarding emotional symptoms, disability, quality of life, and emotion regulation biases will be collected at baseline, immediately after treatment, and 6 and 12 months later. The data will be used to calcu‐ late incremental cost‐effectiveness and cost‐utility ratios. Discussion: This trial aims to contribute to clinical practice research. The involvement of psychologists in primary care and the implementation of a stepped‐care model for mental disorders are recommended. Group therapy and a transdiagnostic approach may help optimize health system resources and unblock waiting lists so that people can spend less time experiencing mental health problems. Trial registration: ClinicalTrials.gov: NCT04847310; Protocols.io: bx2npqde. (April 19, 2021

Modelling human emotions using immersive virtual reality, physiological signals and behavioural responses

Tesis por compendio[ES] El uso de la realidad virtual (RV) se ha incrementado notablemente en la comunidad científica para la investigación del comportamiento humano. En particular, la RV inmersiva ha crecido debido a la democratización de las gafas de realidad virtual o head mounted displays (HMD), que ofrecen un alto rendimiento con una inversión económica. Uno de los campos que ha emergido con fuerza en la última década es el Affective Computing, que combina psicofisiología, informática, ingeniería biomédica e inteligencia artificial, desarrollando sistemas que puedan reconocer emociones automáticamente. Su progreso es especialmente importante en el campo de la investigación del comportamiento humano, debido al papel fundamental que las emociones juegan en muchos procesos psicológicos como la percepción, la toma de decisiones, la creatividad, la memoria y la interacción social. Muchos estudios se han centrado en intentar obtener una metodología fiable para evocar y automáticamente identificar estados emocionales, usando medidas fisiológicas objetivas y métodos de aprendizaje automático. Sin embargo, la mayoría de los estudios previos utilizan imágenes, audios o vídeos para generar los estados emocionales y, hasta donde llega nuestro conocimiento, ninguno de ellos ha desarrollado un sistema de reconocimiento emocional usando RV inmersiva. Aunque algunos trabajos anteriores sí analizan las respuestas fisiológicas en RV inmersivas, estos no presentan modelos de aprendizaje automático para procesamiento y clasificación automática de bioseñales. Además, un concepto crucial cuando se usa la RV en investigación del comportamiento humano es la validez: la capacidad de evocar respuestas similares en un entorno virtual a las evocadas por el espacio físico. Aunque algunos estudios previos han usado dimensiones psicológicas y cognitivas para comparar respuestas entre entornos reales y virtuales, las investigaciones que analizan respuestas fisiológicas o comportamentales están mucho menos extendidas. Según nuestros conocimientos, este es el primer trabajo que compara entornos físicos con su réplica en RV, empleando respuestas fisiológicas y algoritmos de aprendizaje automático y analizando la capacidad de la RV de transferir y extrapolar las conclusiones obtenidas al entorno real que se está simulando. El objetivo principal de la tesis es validar el uso de la RV inmersiva como una herramienta de estimulación emocional usando respuestas psicofisiológicas y comportamentales en combinación con algoritmos de aprendizaje automático, así como realizar una comparación directa entre un entorno real y virtual. Para ello, se ha desarrollado un protocolo experimental que incluye entornos emocionales 360º, un museo real y una virtualización 3D altamente realista del mismo museo. La tesis presenta novedosas contribuciones del uso de la RV inmersiva en la investigación del comportamiento humano, en particular en lo relativo al estudio de las emociones. Esta ayudará a aplicar metodologías a estímulos más realistas para evaluar entornos y situaciones de la vida diaria, superando las actuales limitaciones de la estimulación emocional que clásicamente ha incluido imágenes, audios o vídeos. Además, en ella se analiza la validez de la RV realizando una comparación directa usando una simulación altamente realista. Creemos que la RV inmersiva va a revolucionar los métodos de estimulación emocional en entornos de laboratorio. Además, su sinergia junto a las medidas fisiológicas y las técnicas de aprendizaje automático, impactarán transversalmente en muchas áreas de investigación como la arquitectura, la salud, la evaluación psicológica, el entrenamiento, la educación, la conducción o el marketing, abriendo un nuevo horizonte de oportunidades para la comunidad científica. La presente tesis espera contribuir a caminar en esa senda.[EN] In recent years the scientific community has significantly increased its use of virtual reality (VR) technologies in human behaviour research. In particular, the use of immersive VR has grown due to the introduction of affordable, high performance head mounted displays (HMDs). Among the fields that has strongly emerged in the last decade is affective computing, which combines psychophysiology, computer science, biomedical engineering and artificial intelligence in the development of systems that can automatically recognize emotions. The progress of affective computing is especially important in human behaviour research due to the central role that emotions play in many background processes, such as perception, decision-making, creativity, memory and social interaction. Several studies have tried to develop a reliable methodology to evoke and automatically identify emotional states using objective physiological measures and machine learning methods. However, the majority of previous studies used images, audio or video to elicit emotional statements; to the best of our knowledge, no previous research has developed an emotion recognition system using immersive VR. Although some previous studies analysed physiological responses in immersive VR, they did not use machine learning techniques for biosignal processing and classification. Moreover, a crucial concept when using VR for human behaviour research is validity: the capacity to evoke a response from the user in a simulated environment similar to the response that might be evoked in a physical environment. Although some previous studies have used psychological and cognitive dimensions to compare responses in real and virtual environments, few have extended this research to analyse physiological or behavioural responses. Moreover, to our knowledge, this is the first study to compare VR scenarios with their real-world equivalents using physiological measures coupled with machine learning algorithms, and to analyse the ability of VR to transfer and extrapolate insights obtained from VR environments to real environments. The main objective of this thesis is, using psycho-physiological and behavioural responses in combination with machine learning methods, and by performing a direct comparison between a real and virtual environment, to validate immersive VR as an emotion elicitation tool. To do so we develop an experimental protocol involving emotional 360º environments, an art exhibition in a real museum, and a highly-realistic 3D virtualization of the same art exhibition. This thesis provides novel contributions to the use of immersive VR in human behaviour research, particularly in relation to emotions. VR can help in the application of methodologies designed to present more realistic stimuli in the assessment of daily-life environments and situations, thus overcoming the current limitations of affective elicitation, which classically uses images, audio and video. Moreover, it analyses the validity of VR by performing a direct comparison using highly-realistic simulation. We believe that immersive VR will revolutionize laboratory-based emotion elicitation methods. Moreover, its synergy with physiological measurement and machine learning techniques will impact transversely in many other research areas, such as architecture, health, assessment, training, education, driving and marketing, and thus open new opportunities for the scientific community. The present dissertation aims to contribute to this progress.[CA] L'ús de la realitat virtual (RV) s'ha incrementat notablement en la comunitat científica per a la recerca del comportament humà. En particular, la RV immersiva ha crescut a causa de la democratització de les ulleres de realitat virtual o head mounted displays (HMD), que ofereixen un alt rendiment amb una reduïda inversió econòmica. Un dels camps que ha emergit amb força en l'última dècada és el Affective Computing, que combina psicofisiologia, informàtica, enginyeria biomèdica i intel·ligència artificial, desenvolupant sistemes que puguen reconéixer emocions automàticament. El seu progrés és especialment important en el camp de la recerca del comportament humà, a causa del paper fonamental que les emocions juguen en molts processos psicològics com la percepció, la presa de decisions, la creativitat, la memòria i la interacció social. Molts estudis s'han centrat en intentar obtenir una metodologia fiable per a evocar i automàticament identificar estats emocionals, utilitzant mesures fisiològiques objectives i mètodes d'aprenentatge automàtic. No obstant això, la major part dels estudis previs utilitzen imatges, àudios o vídeos per a generar els estats emocionals i, fins on arriba el nostre coneixement, cap d'ells ha desenvolupat un sistema de reconeixement emocional mitjançant l'ús de la RV immersiva. Encara que alguns treballs anteriors sí que analitzen les respostes fisiològiques en RV immersives, aquests no presenten models d'aprenentatge automàtic per a processament i classificació automàtica de biosenyals. A més, un concepte crucial quan s'utilitza la RV en la recerca del comportament humà és la validesa: la capacitat d'evocar respostes similars en un entorn virtual a les evocades per l'espai físic. Encara que alguns estudis previs han utilitzat dimensions psicològiques i cognitives per a comparar respostes entre entorns reals i virtuals, les recerques que analitzen respostes fisiològiques o comportamentals estan molt menys esteses. Segons els nostres coneixements, aquest és el primer treball que compara entorns físics amb la seua rèplica en RV, emprant respostes fisiològiques i algorismes d'aprenentatge automàtic i analitzant la capacitat de la RV de transferir i extrapolar les conclusions obtingudes a l'entorn real que s'està simulant. L'objectiu principal de la tesi és validar l'ús de la RV immersiva com una eina d'estimulació emocional usant respostes psicofisiològiques i comportamentals en combinació amb algorismes d'aprenentatge automàtic, així com realitzar una comparació directa entre un entorn real i virtual. Per a això, s'ha desenvolupat un protocol experimental que inclou entorns emocionals 360º, un museu real i una virtualització 3D altament realista del mateix museu. La tesi presenta noves contribucions de l'ús de la RV immersiva en la recerca del comportament humà, en particular quant a l'estudi de les emocions. Aquesta ajudarà a aplicar metodologies a estímuls més realistes per a avaluar entorns i situacions de la vida diària, superant les actuals limitacions de l'estimulació emocional que clàssicament ha inclòs imatges, àudios o vídeos. A més, en ella s'analitza la validesa de la RV realitzant una comparació directa usant una simulació altament realista. Creiem que la RV immersiva revolucionarà els mètodes d'estimulació emocional en entorns de laboratori. A més, la seua sinergia al costat de les mesures fisiològiques i les tècniques d'aprenentatge automàtic, impactaran transversalment en moltes àrees de recerca com l'arquitectura, la salut, l'avaluació psicològica, l'entrenament, l'educació, la conducció o el màrqueting, obrint un nou horitzó d'oportunitats per a la comunitat científica. La present tesi espera contribuir a caminar en aquesta senda.Marín Morales, J. (2020). Modelling human emotions using immersive virtual reality, physiological signals and behavioural responses [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/148717TESISCompendi

Towards a deeper understanding of human emotions in marketing communication: the‘Slogan Validator’and self-reported measurement contrasted

Advertising has long been regarded as providing reasons for consumers to buy. However, in academic research, the significant role of emotion has generally been neglected. Neuroscience research has made considerable advances in the study of emotion and has resulted in a reconsideration of the rational view of decision-making behaviour. In addition, a review of the marketing literature reveals that there is a missing link between repetitive emotions, mixed emotions, continuous measures of emotions and the dominant emotion. This thesis provides this link and proposes a new theoretical research construct: the consumer’s emotional corridor Self-reported measurements have been widely used to measure consumers’ emotional responses to advertising stimuli or consumption-related experiences and have been a consistently popular method for practitioners and researchers. There is, however, a problem known as “cognitive bias” which often arises from self-reported measurements. Several researchers have highlighted the demand for the measurement of emotion to go beyond self-reported measurements and have called for collaboration with other research fields to advance consumer behaviour research in the study of emotion. This research collaborates with researchers in the field of human-computer interaction and suggests an alternative method: the Slogan Validator. This research adopts a multi-strategy approach in combining qualitative research (semi-structured interviews) and quantitative research (survey and experiment). The purpose of the first stage of the research is to assist in defining criteria of cognitive appraisals that consumers use for advertising slogans and on validating the research model. The second stage involves conducting a survey research, which is called study one in this thesis. The main purpose of study one is to test the proposed research model. The third stage of the research methodology involves the Slogan Validator and self-reported measurements (which is called study two in this research). The main purpose of study two is to compare the results of self-reported measurements and the Slogan Validator in measuring emotions. For study one, this research notes that there exist some differences in the types of determinants and their levels of influence on the attitude towards the advertisement, the attitude towards the brand and the purchase intention across four slogan cases. Nonetheless, the cognitive appraisal-outcome of desirability appears to be significant in all fourteen out of the sixteen models. In general, this factor plays the critical role in the advertising effectiveness. Moreover, the results of study one reveal that affective-related factors play the significant role in the advertising process in both the low and high involvement groups. For study two, the findings show that the results of the self-reported questionnaires and the Slogan Validator are almost completely different, except for the ‘happy’ emotion in the cases of McDonald’s and Kentucky. Implications, limitations and further research are discussed. The major contributions of this research are twofold. In terms of theoretical perspective, this research models consumers’ emotional responses to advertising slogans integrated with the new theoretical research construct, the consumer’s emotional corridor, and uncovers the determinants of advertising effectiveness from the consumers’ emotional responses to the advertising slogan standpoint. In terms of methodological perspective, this research initiates the employment of a novel method, namely, the Slogan Validator, which is the voice recognition study, in advertising literature

Transcranial electric stimulation as a neural interface to gain insight on human brain functions: current knowledge and future perspective

Abstract The use of brain stimulation approaches in social and affective science has greatly increased over the last two decades. The interest in social factors has grown along with technological advances in brain research. Transcranial electric stimulation (tES) is a research tool that allows scientists to establish contributory causality between brain functioning and social behaviour, therefore deepening our understanding of the social mind. Preliminary evidence is also starting to demonstrate that tES, either alone or in combination with pharmacological or behavioural interventions, can alleviate the symptomatology of individuals with affective or social cognition disorders. This review offers an overview of the application of tES in the field of social and affective neuroscience. We discuss the issues and challenges related to this application and suggest an avenue for future basic and translational research