Vulnerability and Protective Factors for PTSD and Depression Symptoms Among Healthcare Workers During COVID-19: A Machine Learning Approach

Background: Healthcare workers are at high risk for developing mental health problems during the COVID-19 pandemic. There is an urgent need to identify vulnerability and protective factors related to the severity of psychiatric symptoms among healthcare workers to implement targeted prevention and intervention programs to reduce the mental health burden worldwide during COVID-19. // Objective: The present study aimed to apply a machine learning approach to predict depression and PTSD symptoms based on psychometric questions that assessed: (1) the level of stress due to being isolated from one's family; (2) professional recognition before and during the pandemic; and (3) altruistic acceptance of risk during the COVID-19 pandemic among healthcare workers. // Methods: A total of 437 healthcare workers who experienced some level of isolation at the time of the pandemic participated in the study. Data were collected using a web survey conducted between June 12, 2020, and September 19, 2020. We trained two regression models to predict PTSD and depression symptoms. Pattern regression analyses consisted of a linear epsilon-insensitive support vector machine (ε-SVM). Predicted and actual clinical scores were compared using Pearson's correlation coefficient (r), the coefficient of determination (r2), and the normalized mean squared error (NMSE) to evaluate the model performance. A permutation test was applied to estimate significance levels. // Results: Results were significant using two different cross-validation strategies to significantly decode both PTSD and depression symptoms. For all of the models, the stress due to social isolation and professional recognition were the variables with the greatest contributions to the predictive function. Interestingly, professional recognition had a negative predictive value, indicating an inverse relationship with PTSD and depression symptoms. // Conclusions: Our findings emphasize the protective role of professional recognition and the vulnerability role of the level of stress due to social isolation in the severity of posttraumatic stress and depression symptoms. The insights gleaned from the current study will advance efforts in terms of intervention programs and public health messaging

The Neural Mechanism of Working Memory Training Improving Emotion Regulation

Thirty-six patients with high anxiety were recruited. The subjects were divided into working memory training group and control group in a voluntary and random manner, with 18 individuals in each group. The training group was trained for 21 days of working memory, and the control group was not trained for working memory. The subjective emotion ratings and the ERP indicator late positive potential (LPP) of the two groups of participants were recorded, under three experimental conditions (watching negative images, cognitive reappraisal, attentional distraction). It was found that the LPP amplitude reduction was significantly higher for training group than control group specifically in the condition of cognitive reappraisal. This study showed that working memory training can improve the ability cognitive reappraisal and can be a potential intervention for promoting the emotional regulation of individuals with high trait anxiety.</p

Evidências científicas das neurociências para a terapia cognitivo-comportamental

Os transtornos de ansiedade estão envolvidos com a incapacidade de controlar o medo e a dificuldade em regular emoções negativas. A terapia cognitivo-comportamental (TCC) abrange técnicas que permitem tanto a extinção do medo condicionado quanto a regulação cognitiva de emoções. Este artigo tem como objetivo apresentar resultados de estudos de regulação da emoção que podem ilustrar a associação e colaboração entre a TCC e as neurociências. Amparado nas pesquisas de regulação da emoção, este estudo corrobora os resultados dos ensaios clínicos com TCC revelando que as intervenções de distração, reestruturação cognitiva e exposição são eficazes para a regulação emocional

Measuring aesthetic emotions : a review of the literature and a new assessment tool

Aesthetic perception and judgement are not merely cognitive processes, but also involve feelings. Therefore, the empirical study of these experiences requires conceptualization and measurement of aesthetic emotions. Despite the long-standing interest in such emotions, we still lack an assessment tool to capture the broad range of emotions that occur in response to the perceived aesthetic appeal of stimuli. Elicitors of aesthetic emotions are not limited to the arts in the strict sense, but extend to design, built environments, and nature. In this article, we describe the development of a questionnaire that is applicable across many of these domains: the Aesthetic Emotions Scale (Aesthemos). Drawing on theoretical accounts of aesthetic emotions and an extensive review of extant measures of aesthetic emotions within specific domains such as music, literature, film, painting, advertisements, design, and architecture, we propose a framework for studying aesthetic emotions. The Aesthemos, which is based on this framework, contains 21 subscales with two items each, that are designed to assess the emotional signature of responses to stimuli’s perceived aesthetic appeal in a highly differentiated manner. These scales cover prototypical aesthetic emotions (e.g., the feeling of beauty, being moved, fascination, and awe), epistemic emotions (e.g., interest and insight), and emotions indicative of amusement (humor and joy). In addition, the Aesthemos subscales capture both the activating (energy and vitality) and the calming (relaxation) effects of aesthetic experiences, as well as negative emotions that may contribute to aesthetic displeasure (e.g., the feeling of ugliness, boredom, and confusion)