Publications by authors named "Eunice J Yuan"

Background: The brain of major depressive disorder (MDD) is associated with altered functional connectivity (FC) compared to that of healthy individuals when processing positive and negative visual stimuli. Building upon alterations in brain connectivity, some researchers have employed electroencephalography (EEG) to study FC in MDD, aiming to enhance both diagnosis and treatment; however, the results have been inconsistent and the studies involving FC during emotional recognition are limited. This study aims to 1) investigate the effects of MDD on EEG patterns during visual emotional processing, 2) explore the therapeutic effects of antidepressant treatment on brain FC within the first week, and assess whether these effects can be predictive of treatment outcomes four weeks later, and 3) study baseline FC parameter biomarkers that can be used to predict treatment responsiveness in MDD patients.

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Purpose: Coronavirus disease 2019 (COVID-19) has heavily impacted medical clinical education in Taiwan. Medical curricula have been altered to minimize exposure and limit transmission. This study investigated the effect of COVID-19 on Taiwanese medical students' clinical performance using online standardized evaluation systems and explored the factors influencing medical education during the pandemic.

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Background/aims: To avoid the negative impacts of the COVID-19 pandemic on clinical clerkship, supplemental teachings such as digital materials in the scenario-based distal simulations were implemented. This study utilized the OSCE (objective-structured clinical examination) to evaluate the impact of COVID-19 pandemic on the learning outcome of medical students from the regular group (class of 2020) and pandemic-impacted group (class of 2021).

Methods: All medical students serially took, firstly, the mock-OSCE, secondly, the mock-OSCE, and the national OSCE.

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Background: During pandemics, acquiring outpatients' travel, occupation, contact, and cluster histories is one of the most important measures in assessing the disease risk among incoming patients. Previous means of acquiring this information in the examination room have been insufficient in preventing disease spread.

Objective: This study aimed to demonstrate the deployment of an automatic system to triage outpatients over the internet.

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Background: Visitors to hospitalized patients during an epidemic might themselves be carriers and are therefore likely to spread the disease in wards. Although measures were taken to restrict hospital visits, traditional paper-based registration is insufficient to screen and monitor the numbers of visitors to a large hospital.

Methods: Throughout March 2020, during the coronavirus disease 2019 crisis, a computer system was deployed in the 2800-bed Taipei Veterans General Hospital (Taipei, Taiwan) to register, screen, and monitor inpatient visitors.

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Background: The coronavirus disease 2019 (COVID-19) had spread rapidly since late December 2019. Personal protective equipment was essential to prevent transmission. Owing to shortage of face masks, Taiwan government began to implement quasi rationing on February 6, 2020, by allowing each resident to purchase two masks in seven days.

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Article Synopsis
  • - A nationwide cohort study examined the risk of developing parkinsonism among new users of metoclopramide compared to non-users, revealing that metoclopramide use is associated with a higher risk of this condition, particularly among those with high exposure.
  • - Out of nearly 220,000 metoclopramide users, 0.06% developed parkinsonism, which is significantly higher than the 0.03% incidence in matched non-users, with the risk further increasing in individuals on high doses or for long durations.
  • - The findings suggest that while the overall risk is low, physicians should exercise caution when prescribing metoclopramide, especially in higher doses or for extended periods, due to
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