Assessing attentional task-related electroencephalogram signal variations by using mobile electroencephalogram technology: An experimental study

BACKGROUND

A better understanding of the network responses of cortical activities during rest and cognitive tasks is necessary. Therefore, in this study, we aimed to evaluate cerebral activities during attentional tasks by using mobile electroencephalography, identifying the types of attentional components and brain waves.

METHODS

In this experimental study, we enrolled 12 healthy young adults. The attentional tasks comprised parts A and B of the Trail-Making Test (TMT). Nineteen electroencephalography electrodes were placed over various brain regions. The Wilcoxon signed-rank test was used to examine the differences in power levels between the rest and TMT conditions.

RESULTS

During TMT part A, the electroencephalography power level of the delta waves was significantly higher in the right frontal, left central, left occipital, left inferior frontal, right mid-temporal, right posterior temporal, and middle parietal areas (P < .05) than those during the resting state; that of the alpha waves was significantly lower in the left posterior temporal area (P = .006); and that of the high gamma waves was significantly lower in the left parietal (P = .05) and left occipital (P = .002) areas. During TMT part B, the electroencephalography power level of the beta waves was significantly higher in the right frontal area (P = .041) than that during the resting state, and that of the low gamma waves was significantly higher in the left frontal pole, right frontal, and right inferior frontal areas (P < .05). During the focused attentional task, the power level of the delta waves increased and that of the alpha waves decreased, and during the alternating attentional task, those of both the beta and gamma waves increased. The delta waves were related to the whole brain, the alpha and high gamma waves to the left posterior lobe, and the beta and low gamma waves to both frontal lobes.

CONCLUSION

These findings contribute to the basic knowledge necessary to develop new attentional assessment methods for clinical situations.

Diagnostic model for preschool workers' unwillingness to continue working: Developed using machine-learning techniques

The turnover of kindergarten teachers has drastically increased in the past 10 years. Reducing the turnover rates among preschool workers has become an important issue worldwide. Parents have avoided enrolling children in preschools due to insufficient care, which affects their ability to work. Therefore, this study developed a diagnostic model to understand preschool workers' unwillingness to continue working. A total of 1002 full-time preschool workers were divided into 2 groups. Predictors were drawn from general questionnaires, including those for mental health. We compared 3 algorithms: the least absolute shrinkage and selection operator, eXtreme Gradient Boosting, and logistic regression. Additionally, the SHapley Additive exPlanation was used to visualize the relationship between years of work experience and intention to continue working. The logistic regression model was adopted as the diagnostic model, and the predictors were "not living with children," "human relation problems with boss," "high risk of mental distress," and "work experience." The developed risk score and the optimal cutoff value were 14 points. By using the diagnostic model to determine workers' unwillingness to continue working, supervisors can intervene with workers who are experiencing difficulties at work and can help resolve their problems.

Determinants of quality of life in elderly rehabilitation users at a day care service center

[Purpose] We investigated the relationship of quality of life (QOL) with cognitive function, physical function, and activity ability, and aimed to identify functions related to QOL improvement, among elderly people who use day-care rehabilitation. [Participants and Methods] The participants were 37 elderly rehabilitation users, whose QOL was assessed using the Health Organization QOL26 (WHOQOL26), which consists of a 26-item self-report questionnaire. Cognitive function was assessed using the Mini-Mental State Examination, while physical function was assessed with seated forward bending, knee extension, grip, 30-second chair stand test, timed up and go test, and gait speed. Activity ability was assessed using the Tokyo Metropolitan Institute of Gerontology Index of Competence (TMIG index). [Results] A positive correlation was found between five WHOQOL26 categories (psychological QOL, social QOL, environmental QOL, total QOL, and QOL average) and social role in the TMIG index. There was also a positive correlation between four WHOQOL26 categories (psychological QOL, social QOL, environmental QOL, and QOL average) and instrumental activity of daily living in the TMIG index. To identify factors influencing the QOL score, association with TMIG index was investigated. Social role in the TMIG index was a positive factor in psychological and social QOL. [Conclusion] Enhancing social role is important to improve QOL of elderly rehabilitation users.

Factors affecting the mental health of medical students during the COVID-19 pandemic: A cross-sectional study

The coronavirus disease 2019 outbreak has impacted many educational institutions by imposing restrictions on offline or in-person lessons. Many students were stressed by "the loss of everyday life" due to the pandemic, and it is important to examine the impact of this loss on adolescents' mental health. This study aimed to investigate the factors that affect students' mental health during the pandemic from various perspectives. A total of 166 medical students participated in this study. Participants completed questionnaires about their demographics, life stress, mental health, and stress factors during in-person and online lecture days. Participants were divided into 2 groups, those with low and high mental health. The researchers compared independent variables between the groups using the χ2 test or Fisher's exact test. Multiple logistic regression analysis was performed, with mental health as the dependent variable. The multiple logistic regression analysis indicated that increased time spent online was significantly associated with mental health (P < .05). Human relations and the inability to meet/talk with friends trended toward a significant association with mental health (P < .1). The students who were not stressed about the increased time spent online were at a risk of low mental health. The students who appreciated interacting with others experienced more stress during the lockdown. To reduce students' stress on online days, teachers should devise a lecture style with frequent breaks and introduce active learning. The findings of this study will contribute to addressing students' low mental health and reducing their stress during the coronavirus disease 2019 pandemic.

Use of the Tokyo Cognitive Assessment for mild cognitive impairment to characterize elderly people that use day care services in Japan

[Purpose] This study compared the motor skills and cognitive functions of elderly participants who required support with those who did not require support. We aimed to evaluate the characteristics of impairment in sub-items of cognitive function in patients who needed support to predict future clinical issues. [Participants and Methods] We surveyed 31 participants requiring support under the day care service insurance system for which they attended day care service centers in Japan (rehabilitation users) and 10 healthy participants who attended a university for lifelong learning (healthy elders). Data on personal attributes of the participants were collected, and the Cardio-Ankle Vascular Index and motor and cognitive functions were assessed. [Results] Although the participants undergoing rehabilitation were, on average, 6 years older than the healthy elders, we found no significant differences between the two groups in closed-eye, one-legged standing, grip strength, or quadriceps muscle strength. In terms of the Tokyo Cognitive Assessment for mild cognitive impairment, we found no significant differences between those undergoing rehabilitation and healthy elders in clock drawing performance, serial 7 task performance, or orientation; however, there were significant differences in erase character, copy of triangular pyramid, composition, read of digits, go/no-go, word recall, story reproduction, ToCA total score. [Conclusion] We believe that it is imperative for day care service centers to conduct programs that maintain cognitive function in addition to programs for improvement of physical function.