Exploring Attentional Bias toward Alcohol Content: Insights from Eye-Movement Activity.

INTRODUCTION: Attentional bias (AB) is an implicit selective attention toward processing disorder-significant information while neglecting other environmental cues. Considerable empirical evidence highlights the clinical implication of AB in the onset and maintenance of substance use disorder. An innovative method to explore direct measures of AB relies on the eye-movement activity using technologies like eye-tracking (ET). Despite the growing interest regarding the clinical relevance of AB in the spectrum of alcohol consumption, more research is needed to fully determine the AB patterns and its transfer from experimental to clinical applications. The current study consisted of three consecutive experiments. The first experiment aimed to design an ad-hoc visual attention task (VAT) consisting of alcohol-related and neutral images using a nonclinical sample (n = 15). The objective of the second and third experiments was to analyze whether the effect of type of image (alcohol-related vs. neutral images) on AB toward alcohol content using the VAT developed in the first experiment was different for type of drinker (light vs. heavy drinker in the second experiment [n = 30], and occasional social drinkers versus alcohol use disorder (AUD) patients in the third experiment [n = 48]). METHODS: Areas of interest (AOIs) within each type of image (neutral and alcohol-related) were designed and raw ET-based data were subsequently extracted through specific software analyses. For experiment 1, attention maps were created and processed for each image. For experiments 2 and 3, data on ET variables were gathered and subsequently analyzed through a two-way ANOVA with the aim of examining the effects of the type of image and drinker on eye-movement activity. RESULTS: There was a statistically significant interaction effect between type of image and type of drinker (light vs. heavy drinker in experiment 2, F(1, 56) = 13.578, p < 0.001, partial η2 = 0.195, and occasional social drinker versus AUD patients in the experiment 3, F(1, 92) = 35.806, p < 0.001, partial η2 = 0.280) for "first fixation" with large effect sizes, but not for "number of fixations" and "dwell time." The simple main effect of type of image on mean "first fixation" score for AUD patients was not statistically significant. CONCLUSION: The data derived from the experiments indicated the importance of AB in sub-clinical populations: heavy drinkers displayed an implicit preference for alcohol-related images compared to light drinkers. Nevertheless, AB fluctuations in patients with AUD compared to the control group were found. AUD patients displayed an early interest in alcohol images, followed by an avoidance attentional processing of alcohol-related images. The results are discussed in light of recent literature in the field.

A Self-Help Virtual Therapeutic Experience Intervention for Overcoming Psychological Distress Related to the COVID-19 Pandemic: Results From the European Multicentric COVID Feel Good Trial.

OBJECTIVE: The general objective of the current study was to investigate the efficacy of a novel self-help virtual therapeutic experience (specifically, the COVID Feel Good intervention) in lowering the psychological burden experienced during the COVID-19 lockdowns in four European countries. METHODS: We focused on participants recruited from June 2020 to May 2021 in the context of a European multicenter project including four university/academic sites. The total number of participants in the longitudinal studies was 107 (study 1, N = 40; study 2, N = 29; study 3, N = 38). The randomized controlled trial (study 4) included 31 participants in total, 16 in the intervention group and 15 in the control group. Primary outcome measures were depression, anxiety, stress symptoms, perceived stress level, and perceived hopelessness. The secondary outcome was experienced social connectedness. RESULTS: Using separate linear mixed-effects models, the most consistent result across countries was a reduction in perceived stress after the participation in the COVID Feel Good intervention. By pooling the results of the models using a random-effects meta-analysis, we found that after the COVID Feel Good intervention, participants reported a decrease in perceived general distress (mean standardized effect size for general distress in the treatment groups compared with the control conditions was -0.52 [ p = .008, 95% confidence interval = -0.89 to -0.14]) and an increase in the perceived social connection (mean standardized effect size for social connection using COVID Feel Good compared with the control conditions was 0.50 [ p ≤ .001, 95% confidence interval = 0.25 to 0.76]). CONCLUSIONS: Findings of this study indicate that a virtual self-help intervention is effective in reducing psychological distress. These results contribute to the growing literature supporting the use of digital psychological therapies to relieve psychological distress among the general population during the COVID-19 pandemic.Trial Registration : ISRCTN63887521.

Body-related attentional bias as mediator of the relationship between body mass index and body dissatisfaction.

Body image disturbance, consisting of an affective (body dissatisfaction) and perceptual (body distortion) component, is not only found in eating disorders, but is also present in healthy individuals, affecting their psychological well-being and everyday life. A higher body mass index is associated with higher body dissatisfaction, whereas results in relation to body distortion are mixed. Furthermore, body dissatisfaction is associated with a weight-related attentional bias. This study aimed to investigate the mediating role of a weight-related attentional bias in the relationship between body mass index and body image disturbance. Forty-one college women took part in a virtual reality and eye tracking procedure, in which the illusion of owning a virtual avatar with their body measurements was induced. During this procedure, body-related attentional bias was measured and afterwards body image disturbance was assessed. Mediation analysis revealed that weight-related attentional bias mediated the relationship between body mass index and body dissatisfaction (but not distortion). These findings suggest that modifying weight-related attentional bias would be a useful treatment target for improving body dissatisfaction. In addition, virtual reality technology could serve as an innovative method for modifying attentional bias in an ecologically valid way. HIGHLIGHTS: This Virtual Reality and Eye-Tracking study expands our knowledge about the relation between body mass index, body-related attention and body image disturbances. The results suggest that attentional bias towards weight-related body parts mediates the relation between BMI and body dissatisfaction. On the contrary, the relation between BMI and body distortion was not significant.

The influence of gender and body dissatisfaction on body-related attentional bias: An eye-tracking and virtual reality study.

OBJECTIVE: In the attentional bias (AB) phenomenon, eating disorder (ED) patients show a tendency to pay more attention to self-attributed unattractive body parts than to other body parts. However, little research has focused on gender differences in body-related attention, controlling for body dissatisfaction (BD). This study aimed to assess gender differences in AB toward specific weight- or nonweight-related body parts using a virtual reality (VR)-based embodiment technique and an eye-tracking AB assessment. METHOD: Forty-five women (23 with high BD and 22 with low BD) and 40 men (20 with high BD and 20 with low BD) were subsequently embodied in three virtual avatars, the first based on the participant's actual measurements, the second being larger than the participant, and the third being the same as the first avatar. The number of fixations and complete fixation time on weight-related areas of interest (W-AOIs) and nonweight-related areas of interest (NW-AOIs) were recorded for the three assessment time/avatars. RESULTS: The results showed a statistically significant interaction between gender and time for total fixation time and number of fixations (p < .05). BD levels did not significantly affect the results. Overall, women paid more attention to the W-AOIs than men, who in turn paid more attention to the NW-AOIs. Furthermore, preliminary evidence was found for an AB toward muscular-related AOIs among men. CONCLUSIONS: This study provides new information about gender differences and BD in gaze pattern behaviors. Future psychological ED assessments and treatments could take advantage of the possibilities of VR while real-time AB is objectively measured.

Immersive Virtual Reality Cognitive Training for Improving Cognition and Depressive Symptoms Among Older Adults. Current Evidence and Future Recommendations. A Systematic Review.

Older adults, particularly impacted by the pandemic, are anticipated to face considerable challenges to their cognitive and psychological health. Various cognitive training methods have been proposed to improve their cognitive decline through regular practice. Immersive virtual reality (IVR) offers a promising avenue to bolster cognitive and mental health care accessibility for older adults and has shown potential in augmenting traditional cognitive training methods. This systematic review aims to assess the efficacy of IVR-based cognitive training on improving cognitive impairments and depressive symptoms among older adults, irrespective of their level of cognitive decline. Systematic searches were conducted across MEDLINE-PubMed, EMBASE, and Web of Science databases from inception to December 2022. Only peer-reviewed articles reporting results from randomized controlled trials and pilot studies, focusing on the effects of VR-based cognitive training on adults aged 55 or older, were deemed eligible. Using the Cochrane Handbook for Systematic Reviews of Interventions, the risk of bias was appraised for each selected study. Out of 3,835 studies identified, 9 met the inclusion criteria. The qualitative analyses concluded that IVR cognitive training interventions enhanced certain cognitive functions and well-being among older adults, notably those with mild cognitive impairments. These interventions were particularly effective in boosting memory, visuospatial abilities, and measures related to depressive symptoms and overall well-being. However, enhancements were less pronounced for executive functions, attention, and global cognition. Based on these findings, we propose a set of tailored, inclusive, and evidence-based recommendations to adapt emerging technologies to better accommodate the needs of older adults.

A multimodal group-based immersive virtual reality intervention for improving cognition and mental health in patients with post-covid-19 condition. A quasi-experimental design study.

Introduction: Adults with Post-COVID-19 Condition (PCC) may show cognitive impairments in attention, processing speed, memory, and executive function. Multimodal programs that combine cognitive training, physical activity and emotional tasks, such as mindfulness-based interventions (MBIs), may offer a suitable alternative for improving PCC treatments. Immersive Virtual Reality (IVR) is a promising technology that can enhance traditional cognitive training, physical activity, and MBIs. The use of IVR technology may increase engagement with these interventions and potentially enhance the individual benefits of cognitive training, exercise and MBIs. The current study evaluated the impact of a multimodal IVR intervention, comparing this with a usual care intervention (control group), in order to assess changes in cognition and mental health in adults with PCC. We also aimed to assess user experience factors such as enjoyment, perceived improvement, and fatigue following each multimodal IVR session within the experimental group. Method: Thirty-one participants with PCC symptoms were assigned to either the experimental group (IVR, n = 15) or the control group (usual care intervention, n = 16) in a quasi-experimental design study. The multimodal IVR intervention consisted of MBI, cognitive training and physical exercise and was delivered in a 60-min group session with 5 participants, twice a week, for 8 weeks (16 sessions in total). Measures of global cognition, attention, processing speed, verbal episodic memory and subjective memory complaints (primary measures), and depressive and anxiety symptoms and fatigue (secondary measures) were assessed at baseline and also after 8 weeks (post-intervention). Results: Mixed between-group (group) and within-group (pre-post assessments) ANOVAs revealed significant group*time interactions in global cognition, simple attention, processing speed, memory and depressive symptoms, with large effect sizes (p < 0.05; partial η2 > 0.14). There was also a marginally significant group*time interaction for executive function (p = 0.05). Follow-up analyses comparing pre-and post-intervention outcomes for each group separately showed that the experimental group significantly improved in global cognition, processing speed, memory and depressive symptoms, while the control group showed no significant pre-post changes. Friedman tests showed a significant main effect of time (χ2(2) = 6.609, p = 0.04), with a gradual increase in enjoyment from the first, to the mid, and then to the final session. In addition, perceived improvement scores remained high throughout the intervention, and patient-reported fatigue levels did not fluctuate significantly throughout the intervention. Conclusion: To our knowledge, no previous research has combined cognitive training, physical exercise and MBI using an IVR paradigm in adults with PCC. Despite their inherent limitations, our findings mark a pioneering step toward improving cognition and mental health outcomes in PCC through the innovative use of new technology and multimodal approaches. This first study should be accompanied by more extensive, randomized clinical trials aimed at further exploring and refining these interventions.

VirtualPain. Preliminary findings from a group-based digital therapeutics intervention for fibromyalgia.

Introduction: Fibromyalgia (FM) is a disorder characterized by chronic pain, with significant medical, psychological, and socio-economic implications. Although there is limited evidence, cognitive-behavioral therapy (CBT) has shown to be effective in improving FM symptoms. An alternative to enhance CBT effectiveness is to incorporate digital therapeutics (DTx). Aim: We conducted a pilot study to investigate whether the addition of a DTx intervention (VirtualPain) to cognitive-behavioral group therapy (CBGT) can reduce pain perception and associated symptoms in patients with FM. Method: Ten patients with FM were initially recruited from a public hospital in Barcelona. The treatment consisted of 6 weeks of VirtualPain group sessions and 16 weeks of CBGT. Measures of catastrophizing, self-efficacy, and coping were recorded before, during, and after the protocol. In the DTx sessions, pain intensity was recorded before and after each session. Results: The program (DTx and CBGT) showed a significant improvement in pain-related self-efficacy and relaxation measures. Improvement in pain perception was observed only after the DTx intervention. Conclusions: This study provides preliminary results regarding the added value of DTx (VirtualPain) as part of a CBGT for FM. The use of the program has facilitated a significant reduction in pain perception in each of the VirtualPain sessions, which provides further evidence of how this technology can be beneficial for improving FM treatments.

The Moderating Effect of Suggestibility on the Relationship between Body Mass Index and Body Dissatisfaction in Women.

Background: Body dissatisfaction (BD) has been consistently linked to adverse consequences on mental health and overall well-being, and is recognized as a significant contributing factor in the initiation and persistence of eating disorders (EDs). Empirical evidence has demonstrated that an elevated body mass index (BMI) and media influence and pressure about a thin ideal heighten the risk of subsequent BD. Moreover, suggestibility, a propensity to accept and act upon messages without critical evaluation, has been shown to be positively associated with greater susceptibility to the influence of sociocultural messages that endorse the thin ideal. This study aimed to assess whether suggestibility moderates the association between BMI and BD in women. Methods: A total of 117 women completed assessments using the Eating Disorder Inventory-3 (EDI-3) BD subscale and the Suggestibility Inventory, which encompasses a general suggestibility index and a subscale that evaluates susceptibility to influence by others. We conducted moderation analyses employing the PROCESS macro, with BMI as the central predictor, BD as the outcome variable, and suggestibility and its subscale as moderators. Results: The findings revealed statistically significant positive moderating interactions for both the general suggestibility index and susceptibility to influence by others. Specifically, women who exhibited high levels of suggestibility and susceptibility to influence by others demonstrated a more pronounced increase in BD as their BMI increased. Conclusions: These outcomes are in line with the sociocultural model of EDs, suggesting that greater susceptibility to external influences amplifies the impact of societal pressures to conform to thin ideals.

Body Dissatisfaction and Body-Related Attentional Bias: Is There a Causal Relationship?

Previous research has shown an association between body dissatisfaction and attentional biases toward the body, but the nature of this relationship is not clear. It is possible that dissatisfaction causes attentional bias or that dissatisfaction is a result of such bias. To clarify the causal relationship between these two variables, this study manipulated dissatisfaction in a sample of healthy women by exposing them to images of "ideal" bodies and observed whether this manipulation increased attentional biases toward different body parts. Fifty-seven women took part in a pre-post experimental design in which they observed an avatar representing themselves in a virtual mirror before and after being exposed to "thin ideal" photographs. Eye-tracking technology was employed to quantify the frequency and duration of fixations on weight-related and weight-unrelated body parts. The outcomes revealed a successful induction of body dissatisfaction, leading participants to display a heightened number of fixations and prolonged fixation durations on unrelated-weight body parts. These findings remained significant after controlling for the effects of trait body dissatisfaction and body mass index. The results imply that heightened body dissatisfaction fosters the aversion of attention from weight-related body parts, which may function as a protective mechanism for preserving self-esteem and promoting psychological well-being.

Attentional Bias Modification Training Based on Virtual Reality and Eye Tracking in Anorexia Nervosa Patients.

Anorexia nervosa (AN) patients exhibit attentional bias (AB) related to the body, which is the tendency to pay greater attention to weight-related body areas compared to non-weight-related ones. This phenomenon has been linked to elevated levels of body dissatisfaction (BD) and may potentially reduce the effectiveness of body exposure therapy. The purpose of this pilot study is to assess the efficacy of a single session of a new body-related AB modification task (ABMT) that combines virtual reality with eye tracking in patients with AN. The goals of the ABMT are to reduce body-related AB by balancing attention between weight and non-weight-related body areas and to reduce BD levels. Twenty-three adolescent patients with AN were embodied in a virtual avatar and immersed in a virtual environment where they completed the ABMT. Body-related AB measures and BD levels were assessed before and after the training. A paired samples t-test showed statistically significant differences between pre-assessment and post-assessment; the complete fixation time on weight-related body parts was reduced and BD levels decreased. The initial evidence of the efficacy of this ABMT has important clinical implications, since AB and BD are considered risk factors for developing and maintaining eating disorder symptomatology among patients with AN.