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Cortical Thickness and White Matter Hyperintensity Changes Are Associated With Sarcopenia in the Cognitively Normal Older Adults

Kim HJ, Chung JH, Eun Y, Kim SH

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Target Discovery Using Deep Learning-Based Molecular Docking and Predicted Protein Structures With AlphaFold for Novel Antipsychotics

Kim Y, Kim S

Objective New drugs are needed to treat antipsychotic-resistant schizophrenia, especially those with clozapine-resistant schizophrenia. Atypical antipsychotics have predominantly 5-HT2A and dopaminergic antagonism, but also require investigation of other receptors. Methods In...
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The Effectiveness of Game Coding Education on Problematic Internet Gaming

Chung S, Kim SI, Hwang H, Han DH

Objective Problematic internet gaming in adolescents is associated with various negative outcomes, such as low self-esteem, depression, anxiety, and attention problems. We hypothesized that game coding education, by improving adolescents’...
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Prolonged Unmet Mental Health Needs of the 2017 Pohang Earthquake Survivors

Joe S, Lee J, Klaus F, Ng HX, Eyler LT, Lee Y

Objective Two years after the 2017 Pohang earthquake, some people sought follow-up mental health support. The demographic and clinical characteristics of this unique group of people were investigated to identify...
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Prevalence and Correlates of Comorbid Posttraumatic Stress Disorder in Schizophrenia-Spectrum Disorder: A Systematic Review and Meta-Analysis

Seong A, Cho SE, Na KS

Objective Schizophrenia-spectrum disorders and posttraumatic stress disorder (PTSD) share common clinical manifestations, genetic vulnerability, and environmental risk factors. We aimed to conduct a systematic review and meta-analysis of the comorbid...
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The Relationship between Social Network Service Use Motives and Subjective Well-Being: The Mediating Effect of Online and Offline Social Capital

Hong IP, Bae SM

Objective The purpose of this study was to examine the mediating effect of social capital on the relationship between Social Media use motives and subjective well-being. Methods In the study, online...
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A Validation Study of Mental Health Monitoring Through a Mobile Application

Suh H, Moon E, Park JM, Lee BD, Lee YM, Jeong HJ, Kim K, Park J, Lim HJ

Objective Face-to-face evaluation is the most important in psychiatric evaluation, but smart healthcare, including non-face-to-face evaluation, can be beneficial considering the situation in which face-to-face evaluation is limited or the...
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Impact of Resilience and Viral Anxiety on Psychological Well-Being, Intrinsic Motivation, and Academic Stress in Medical Students During the COVID-19 Pandemic

Park M, Hong J, Park J, Chung S

Objective We aimed to explore the association between academic stress or motivation and the psychological well-being of medical students during the coronavirus disease-2019 (COVID-19) pandemic. We also explored the effects...
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Compromised Cerebello-Thalamic White Matter Integrity in Medication-Free Patients With Obsessive-Compulsive Disorder

Lee W, Park H, Moon SY, Oh S, Lee J, Kim M, Kwon JS

Objective The cerebello-thalamic tract is the only efferent white matter (WM) bundle of the cerebellum that connects the cerebellum to the thalamus and has recently attracted much attention in obsessive-compulsive...
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Influence of Sensory Impairments on Incidence of Dementia in the Korean Population

Oh Gh, Jhoo JH, Park Sa, Jang JW, Kim Y, Choe YM, Byeon G

Objective Previous studies have shown the influence of visual and auditory sensory impairment on dementia incidence. In this study, we tested the hypothesis that the incidence of dementia will increase...
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Efficacy and Safety of Pulse Magnetic Therapy System in Insomnia Disorder: A Multicenter, Randomized, Double-Blind, Placebo-Controlled Trial

Liao J, Wang S, Zhou B, Liang W, Ma P, Lin M, Lin W, Li C, Zhang X, Li H, Cui Y, Hu J, Qin Y, Deng Y, Fu A, Zhu T, Zhang S, Qu Y, Xing L, Li W, Feng F, Yao X, Zhang G, Pan J

Objective This study’s objective is to assess the efficacy and safety of Pulsed Magnetic Therapy System (PMTS) in improving insomnia disorder. Methods Participants with insomnia disorder were randomly assigned to receive...
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Relationships of Antidepressant Medication With Its Various Factors Including Nitrogen Dioxides Seasonality: Machine Learning Analysis Using National Health Insurance Data

Lee KS, Kim HI, Ham BJ

Objective This study employs machine learning and population-based data to examine major factors of antidepressant medication including nitrogen dioxides (NO2) seasonality. Methods Retrospective cohort data came from Korea National Health Insurance...
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