Epidemiology for the clinical neurologist

Measurement of Empathy in Virtual Reality with Head-Mounted Displays: A Systematic Review

We present a systematic review of 111 papers that measure the impact of virtual experiences created through head-mounted displays (HMDs) on empathy. Our goal was to analyze the conditions and the extent to which virtual reality (VR) enhances empathy. To achieve this, we categorized the relevant literature according to measurement methods, correlated human factors, viewing experiences, topics, and participants. Meta-analysis was performed based on categorized themes, and under specified conditions, we found that VR can improve empathy. Emotional empathy increased temporarily after the VR experience and returned to its original level over time, whereas cognitive empathy remained enhanced. Furthermore, while VR did not surpass 2D video in improving emotional empathy, it did enhance cognitive empathy, which is associated with embodiment. Our results are consistent with existing research suggesting differentiation between cognitive empathy (influenced by environmental factors and learnable) and emotional empathy (highly heritable and less variable). Interactivity, target of empathy, and point of view were not found to significantly affect empathy, but participants' age and nationality were found to influence empathy levels. It can be concluded that VR enhances cognitive empathy by immersing individuals in the perspective of others and that storytelling and personal characteristics are more important than the composition of the VR scene. Our findings provide guiding information for creating empathy content in VR and designing experiments to measure empathy.

A training program for researchers in population neuroimaging: Early experiences

Recent advances in neuroimaging create groundbreaking opportunities to better understand human neurological and psychiatric diseases, but also bring new challenges. With the advent of more and more sophisticated and efficient multimodal image processing software, we can now study much larger populations and integrate information from multiple modalities. In consequence, investigators that use neuroimaging techniques must also understand and apply principles of population sampling and contemporary data analytic techniques. The next generation of neuroimaging researchers must be skilled in numerous previously distinct disciplines and so a new integrated model of training is needed. This tutorial presents the rationale for such a new training model and presents the results from the first years of the training program focused on population neuroimaging of Alzheimer's Disease. This approach is applicable to other areas of population neuroimaging.

Tutorials in population neuroimaging: Using epidemiology in neuroimaging research

Epidemiology is the foundation of all public health research and practice. Epidemiology confers many important uses for the advancement of neuroimaging research. Epidemiology serves as a framework to organize pieces of data and guide critical thinking in the research process from the early stages of study design to the end goal of reaching appropriate inferences. Epidemiology accounts for the profound heterogeneity in populations, thoroughly describes study samples, and identifies consequential threats to study validity. Finally, epidemiology is a discovery tool that can lead researchers to uncover new risk factors, disease states, and subpopulations. The neuroimaging investigator with a grasp of the principles of epidemiology is in a unique position to undertake valid clinical epidemiology and etiological research.

Continuing education activities improve dentists' self-efficacy to manage oral mucosal lesions and oral cancer

OBJECTIVES

This cross-sectional study aims to evaluate whether Continuing Education Activities (CEA) influence dentists' behaviour in relation to oral lesions. The secondary aim is to assess the association between dentists' perception of learning adequacy and self-efficacy for oral mucosal lesion management.

METHODS

A self-administered online questionnaire was conducted on dentists working at the public health system of Rio Grande do Sul State, Brazil. The questionnaire included questions pertaining to perception of adequacy for oral diagnosis classes upon graduation, participation in oral cancer CEA and self-efficacy in managing oral mucosal lesions.

RESULTS

221 dentists from 91 municipalities answered the questionnaire. Most participants were female (71.5%) with a mean age of 38.3 years. Perception of learning as adequate during undergraduate coursework was associated with self-efficacy to diagnose, biopsy, and treat oral mucosal lesions (P < .05, Chi-squared test). However, 83.3% of dentists considered the time devoted to these topics prior to graduation insufficient. The frequency of oral lesion detection was related to self-efficacy to treat oral lesions and detecting oral cancer (P < .05, Chi-squared test). Among dentists who detected oral lesions frequently, 88.9% had attended CEA, whereas 11.1% of them had never attended these activities.

CONCLUSIONS

CEA may improve awareness and efficacy of primary healthcare professional's detection of oral cancer.