• Korean Journal of Biological Psychiatry
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• v.14 no.1
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• pp.28-41
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• 2007

Virtual reality technology is now being used in neuropsychological assessment and real-world applications of many psychiatric disorders, including anxiety disorders, schizophrenia, child psychiatric disorders, dementia, and substance related disorders. These applications are growing rapidly due to recent evolution in both hardware and software of virtual reality. In this paper, we review these current applications and discuss the future work of clinical, ethical, and technological aspects needed to refine and expand these applications to psychiatry.

• Smart Media Journal
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• v.9 no.3
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• pp.9-17
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• 2020

Hippocampus is a complex brain structure embedded deep into the temporal lobe. Studies have shown that this structure gets affected by neurological and psychiatric disorders and it is a significant landmark for diagnosing neurodegenerative diseases. Hippocampus features play very significant roles in region-of-interest based analysis for disease diagnosis and prognosis. In this study, we have attempted to learn the embeddings of this important biomarker. As conventional metric learning methods for feature embedding is known to lacking in capturing semantic similarity among the data under study, we have trained deep Siamese convolutional neural network for learning metric of the hippocampus. We have exploited Gwangju Alzheimer's and Related Dementia cohort data set in our study. The input to the network was pairs of three-view patches (TVPs) of size 32 × 32 × 3. The positive samples were taken from the vicinity of a specified landmark for the hippocampus and negative samples were taken from random locations of the brain excluding hippocampi regions. We have achieved 98.72% accuracy in verifying hippocampus TVPs.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.220-222
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• 2002

지금까지 가상현실 기술은 진단적 도구로서 지금까지 다양한 분야에서 이용되어 왔다. 가상현실의 진단적 도구로써의 장점은 검사를 수행하고자 하는 실제 환경과 유사한 환경을 사용자에게 제공할 수 있다는 점과 편리성 및 안전성을 제공할 수 있다는 것이다. 본 논문에서는 가상현실 기술을 이용하여 보다 간단하고 흥미롭게 치매를 진단하고 이에 대처할 수 있는 방법을 제시하고자 한다. 치매는 사회 고령화 추세에 따라 점점 더 문제가 증가되고 있으나 이에 대한 확실한 치료법은 아직까지 발표되지 않고 있는 실정이기 때문에 조기에 발견하고 대처하기 위한 필요성이 증가되고 있다. 제안된 시스템을 통해 사용자는 실제생활과 유사한 가상환경 속에서의 상황들을 수행함으로써 자신의 치매여부를 진단받을 수 있다. 또한, 검사결과는 의사에게 보다 정확한 진단을 수행할 수 있도록 도와주는 역할을 하며 실제 생활의 어떤 부분에서 어려움을 겪을 지를 판단할 수 있는 자료를 제공한다.

• The Korean Journal of Rehabilitation Nursing
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• v.7 no.1
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• pp.7-14
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• 2004

To examine the cognitive function of elderly, the study examined the performance of Korean normal elderly population whose age over 65 using neuropsychological instruments. It was predicted that the performance of the Korean population would be different from the U, S. mainly due to their difference in language, culture, and education. Korean elderly people from the Chungchung and Daejeon Metropolitan city(n=97) participated. Two age scores were developed: below 74 years and over 75 years. The effect of age, gender and education was examined, which yield significant age, gender and education effect. The score of DSF, DSB, TMTA, and TMTB are expected to be utilized for research purposes, such as basic, clinical, epidemiological studies, as well as practice purposes such as diagnosis and assessment of the progression of cognitive decline and dementia with MMSE-K.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.636-638
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• 2022

This paper is a study to apply CNN(Convolution Neural Network) to fundus images for identifying glaucoma. Fundus images are evaluated in the field of medical diagnosis detection, which are diagnosing of blood vessels and nerve tissues, retina damage, various cardiovascular diseases and dementia. For the experiment, using normal image set and glaucoma image set, two types of image set are classifed by using AlexNet. The result performs that glaucoma with abnormalities are activated and characterized in feature map.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.332-336
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• 2023

In this paper, we design and implement an ADHD diagnostic rating scale algorithm and virtual reality- based digital treatment by combining virtual reality technology that enables multiple access based on specialized medical data. The VR ADHD digital treatment to be implemented is intended to be applied directly to diagnosis and treatment of child/adolescent ADHD by applying various psychiatric treatment technologies. In order to evaluate the usability of the digital therapeutic agent developed in this paper, an expert group consisting of 2 males and 12 females "targeted counseling psychology majors at the Asian Dementia Center once a day for 3 weeks, ADHD VR-based digital therapeutics for children Experienced and usability evaluation conducted. As a final result of this thesis, it was possible to develop attentional concentration ability, working memory improvement ability, and impulsive control ability in four games of digital therapy, and it was possible to confirm significant results that can be expected to have ADHD therapeutic effects.

• The Journal of Internal Korean Medicine
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• v.42 no.5
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• pp.1082-1093
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• 2021

Objective: Alzheimer's disease is characterized by progressive, irreversible brain damage and cognitive decline. Although the diagnosis and treatment of the prodromal symptoms of dementia are important, no treatment for mild cognitive impairment has been currently established. Herein, we report the case of an 80-year-old female patient with memory complaints treated with Gugijihwang-tang, a traditional Korean medicine herbal formula, as an add-on medication. Case Presentation: The patient was diagnosed with mild cognitive impairment based on clinical examinations using the Mini-Mental State Examination (MMSE), the Consortium to Establish a Registry for Alzheimer's Disease (CERAD), Activities of Daily Living (ADL) Scale, Global Deterioration (GDR) Scale, and Clinical Dementia Rating (CDR) Scale. She was treated with Gugijihwang-tang bis in die for 12 months while continuing her original medications, including 5-mg donepezil and 590-mg acetyl-l-carnitine. The MMSE score in the Korean Version of the CERAD Assessment Packet increased from 21 to 27 during the 12-month treatment period, and the CERAD 2 score increased from 33 to 62. The instrumental ADL scale score improved from 11 to 5. Other clinical examination results also showed improvement. The patient was satisfied and experienced no significant adverse events related to the Gugijihwang-tang treatment. Conclusion: This case suggests that Gugijihwang-tang could be considered as a treatment method for patients with mild cognitive impairment.

• Dementia and Neurocognitive Disorders
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• v.17 no.3
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• pp.110-119
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• 2018

Background and Purpose: To analyze $^{18}F-THK5351$ positron emission tomography (PET) scans of patients with clinically diagnosed nonfluent/agrammatic variant primary progressive aphasia (navPPA). Methods: Thirty-one participants, including those with Alzheimer's disease (AD, n=13), navPPA (n=3), and those with normal control (NC, n=15) who completed 3 Tesla magnetic resonance imaging, $^{18}F-THK5351$ PET scans, and detailed neuropsychological tests, were included. Voxel-based and region of interest (ROI)-based analyses were performed to evaluate retention of $^{18}F-THK5351$ in navPPA patients. Results: In ROI-based analysis, patients with navPPA had higher levels of THK retention in the Broca's area, bilateral inferior frontal lobes, bilateral precentral gyri, and bilateral basal ganglia. Patients with navPPA showed higher levels of THK retention in bilateral frontal lobes (mainly left side) compared than NC in voxel-wise analysis. Conclusions: In our study, THK retention in navPPA patients was mainly distributed at the frontal region which was well correlated with functional-radiological distribution of navPPA. Our results suggest that tau PET imaging could be a supportive tool for diagnosis of navPPA in combination with a clinical history.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.248-253
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• 2019

Early diagnosis of mild cognitive impairment (MCI) can reduce the incidence of dementia. This study developed the MCI prediction model for the elderly in Korea. The subjects of this study were 3,240 elderly (1,502 men, 1,738 women) aged 65 and over who participated in the Korean Longitudinal Survey of Aging (KLoSA) in 2012. Outcome variables were defined as MCI prevalence. Explanatory variables were age, marital status, education level, income level, smoking, drinking, regular exercise more than once a week, average participation time of social activities, subjective health, hypertension, diabetes Respectively. The prediction model was developed using Restricted Boltzmann Machine (RBM) neural network. As a result, age, sex, final education, subjective health, marital status, income level, smoking, drinking, regular exercise were significant predictors of MCI prediction model of rural elderly people in Korea using RBM neural network. Based on these results, it is required to develop a customized dementia prevention program considering the characteristics of high risk group of MCI.

• Journal of the Korean Society of Radiology
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• v.10 no.5
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• pp.307-312
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• 2016

Alzheimer's disease is the most common degenerative brain diseases that causes dementia. ${\beta}$-amyloid neuritic plaque density that accumulates in the brain is difficult to perform daily living, such as memory loss, language ability deterioration. It is used to estimate ${\beta}$-amyloid neuritic plaque density in adult patients with cognitive impairment who are being evaluated for Alzheimer's disease and other causes of cognitive impairment. Using the $^{18}F$-Florbetaben with high sensitivity and specificity for the ${\beta}$-amyloid neuritic plaque density to evaluate the usefulness for the early diagnosis of Alzheimer's disease. In $^{18}F$-FDG Brain imaging shows no specific findings. And it appeared on the MR-Brain imaging without atrophy of the hippocampus. However, the intake of ${\beta}$-amyloid neuritic plaque density in $^{18}F$-Florbetaben informs that it is the progress of Alzheimer's disease. Therefore, $^{18}F$-Florobetaben is very useful for early diagnosis of Alzheimer's disease.