• Journal of Biomedical Engineering Research
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• v.43 no.4
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• pp.185-192
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• 2022

Early detection of mild cognitive impairment can help prevent the progression of dementia. The purpose of this study was to design and validate a machine learning model that automatically differential diagnosed patients with mild cognitive impairment and identified cognitive decline characteristics compared to a control group with normal cognition using resting-state quantitative electroencephalogram (qEEG) with eyes closed. In the first step, a rectified signal was obtained through a preprocessing process that receives a quantitative EEG signal as an input and removes noise through a filter and independent component analysis (ICA). Frequency analysis and non-linear features were extracted from the rectified signal, and the 3067 extracted features were used as input of a linear support vector machine (SVM), a representative algorithm among machine learning algorithms, and classified into mild cognitive impairment patients and normal cognitive adults. As a result of classification analysis of 58 normal cognitive group and 80 patients in mild cognitive impairment, the accuracy of SVM was 86.2%. In patients with mild cognitive impairment, alpha band power was decreased in the frontal lobe, and high beta band power was increased in the frontal lobe compared to the normal cognitive group. Also, the gamma band power of the occipital-parietal lobe was decreased in mild cognitive impairment. These results represented that quantitative EEG can be used as a meaningful biomarker to discriminate cognitive decline.

• Journal of Oriental Neuropsychiatry
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• v.30 no.1
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• pp.31-38
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• 2019

Objectives: To identify the cost effectiveness of early dementia diagnosis using the 2014 Health Insurance Review & Assessment Service-National Patients Sample (HIRA-NPS). Methods: The medical costs of dementia between Western medical care and Korean medical care were compared through the reimbursement and non-reimbursement item code for dementia examination. In addition, the medical expenses of patients with dementia and mild cognitive impairment were compared and analyzed with respect to Western and Korean medical care. Results: There were 87,434 claims, of which 16,101 patients were diagnosed with dementia and 38,680,789,560 won was found to be the medical expenses. 12,881 patients (80.0%) with dementia, 3,144 patients (19.5%) with mild cognitive impairment, and 76 patients (0.5%) progressing from mild cognitive impairment to dementia. The proportion of medical expenses was 97.6% for dementia patients, 2.3% for mild cognitive impairment, and 1% for patients progressing from mild cognitive impairment to dementia. 86,070 claims (98.4%) were from Western medical care, with16,824 patients (98.2%), and the medical expenses was 38,546,895,400 won (99.7%). 1,361 claims (1.6%) were from Korean medical care, with 303 patients (1.8%), and the medical expenses was 133,894,160 won (0.3%). Conclusions: This study compared and analyzed the medical costs of dementia patients and the diagnosis of both Korean and Western medical care. The results of this study are expected to be used as basic research data for investigating cost effectiveness of developing early diagnosis of dementia.

• Journal of Integrative Natural Science
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• v.11 no.3
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• pp.139-147
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• 2018

Hippocampal atrophy is a well-established imaging biomarker of Alzheimer disease (AD). However, hippocampus is a non-homogenous structure with cytoarchitecturally and functionally distinct sub-regions or subfield, with each region performing distinct functions. Certain regions of the subfield have shown selective vulnerability to AD. Here, we are interested in studying the effects of normal aging and mild cognitive impairment on these sub-regional volumes. With a reliable automated segmentation technique, we segmented these subregions of the hippocampus in 101 cognitively normal (CN), 135 early mild cognitive impairment (EMCI), 67 late mild cognitive impairment (LMCI) and 48 AD subjects. Thereby, dividing the hippocampus into hippocampal tail (tail), subiculum (SUB), cornu ammonis 1 (CA1), hippocampal fissure (fissure), presubiculum (PSUB), parasubiculum (ParaSUB), molecular layer (ML), granule cells/molecular layer/dentate gyrus (GCMLDG), cornu ammonis 3(CA3), cornu ammonis 4(CA4), fimbria and hippocampal-amygdala transition area (HATA). In this cross sectional study of 351 ADNI subjects, no differences in terms of age, gender, and years of education were observed among the groups. Though, the groups had statistically significant differences (p < 0.05 after the multiple comparison correction) in the Mini-Mental State Examination (MMSE) scores. There was asymmetrical volume loss in the early stages of AD with the left hemisphere showing volume loss in regions that were unaffected in the right hemisphere. Bilateral parasubiculum, right cornu ammonis 1, 3 and 4, right fimbria and right HATA regions did not show any volume loss till the late MCI stages. Our findings suggest that the hippocampal subfield regions are selectively vulnerable to AD and also that these vulnerabilities are asymmetrical especially during the early stages of AD.

• Journal of the Korea Convergence Society
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• v.11 no.5
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• pp.153-158
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• 2020

The present study identify the predictive power of confrontational naming and generative naming as screening tests for normal and early cognitive impairment. The subjects were analyzed for 203 healthy elderly, 106 mild cognitive impairment (MCI), 31 mild dementia. The confrontational naming was measured by the short-term Korean Boston Name Waiting Test, and the generative naming was measured by the Control Associative Word Test. As a result of polynomial logistic regression, both confrontational naming and generative naming had a significant effect on discriminating cognitive impairment (MCI, mild dementia) in general elderly (p<0.05). On the other hand, when distinguishing mild dementia from mild cognitive impairment, the generative naming-phonetic test had no significant odds ratio. The results of this study suggest that when discriminating mild dementia in mild cognitive impairment group, it is not meaningful to look only at the total score of generative naming test.

• Korean Journal of Radiology
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• v.25 no.2
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• pp.212-213
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• 2024

• Journal of Ginseng Research
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• v.48 no.3
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• pp.245-252
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• 2024

Ginseng is a traditional herbal medicine used for prevention and treatment of various diseases as a tonic. Recent scientific cohort studies on life prolongation with ginseng consumption support this record, as those who consumed ginseng for more than 5 years had reduced mortality and cognitive decline compared to those who did not. Clinical studies have also shown that acute or long-term intake of ginseng total extract improves acute working memory performance or cognitive function in healthy individuals and those with subjective memory impairment (SMI), mild cognitive impairment (MCI), or early Alzheimer's disease (AD) dementia who are taking AD medication(s). Ginseng contains various components ranging from classical ginsenosides and polysaccharides to more recently described gintonin. However, it is unclear which ginseng component(s) might be the main candidate that contribute to memory or cognitive improvements or prevent cognitive decline in older individuals. This review describes recent clinical contributors to ginseng components in clinical tests and introduces emerging evidence that ginseng components could be novel candidates for cognitive improvement in older individuals, as ginseng components improve SMI cognition and exhibits add-on effects when coadministered with early AD dementia drugs. The mechanism behind the beneficial effects of ginseng components and how it improves cognition are presented. Additionally, this review shows how ginseng components can contribute to SMI, MCI, or early AD dementia when used as a supplementary food and/or medicine, and proposes a novel combination therapy of current AD medicines with ginseng component(s).

• Journal of the Korea Convergence Society
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• v.9 no.8
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• pp.77-85
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• 2018

Dementia among the diseases occurring in the old age is recognized as a disease to be solved at the national level and systematic management is being carried out. However, the awareness and response of the mild cognitive disorder, which is the middle stage of normal aging and dementia, are insufficient and social costs are increasing every year. The subjects of the study were 303 hospitalized patients whose primary diagnosis was mild cognitive impairment (F067) in a nursing hospital located in one district in 2016. The number of days of hospitalization was shorter in autumn and longer in winter or in hospital discharge. The cost of treatment for patients with mild cognitive impairment is lower in autumn and higher in winter or in 'discharge' of medical treatment results. The total cost of medical treatment was high in the winter by season in the ADL 6-12 and ADL 13-20 groups. Difference in the cost of medical treatment according to the characteristics of medical treatment, the medical expenses were the highest when the number of corporal disease was 5 ~ 8. In the medical treatment results, the ADL 6-12 point group and the ADL 13-20 point group had high medical expenses in 'continue'. Considering the clinical characteristics of mild cognitive impairment and considering that 10-15% of the patients with mild cognitive impairment progress to dementia every year, early detection and treatment of mild cognitive impairment is an effective and potentially important task for reducing potential social and dementia patients.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.283-292
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• 2019

The loss of semantic knowledge and impairments in semantic associations by semantic category is gaining increasing attention, as indicators of early-stage cognitive decline. As such, we assigned semantic association task (SAT) to normal elderly (NE) and those with subjective memory impairment (SMI) or mild cognitive impairment (MCI) to examine their performance by semantic subcategories and the differences in error patterns. We found a significant difference in the number of correct response and reaction time under the SAT categories among the three groups, with the highest performance observed in 'function' and the lowest performance in 'superordinate' and 'part/whole'. Moreover, the error frequency was the lowest in NE, followed by those with SMI and MCI, with the latter two groups showing a significant increase in no-response. Our findings demonstrate the varying extent and process of impairments in the semantic network by category over different stages of cognitive decline. Thus, we proposed SAT performance as an indicator to detect and follow-up on cognitive decline in elderly with cognitive disorder.

• Journal of Korean Clinical Health Science
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• v.8 no.2
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• pp.1426-1435
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• 2020

Objective: This study aims to develop CFT, a screening test for dementia that can be conducted on patients with mild cognitive impairment or early dementia. Methods: This study was conducted on therapists working at occupational therapy hospital in Gyeongsangnam-do. The data collection period is two months from July to September 2020, and the research participants were briefed on the purpose, significance, and anonymity of the research in consideration of ethical issues. A total of 33 copies of the data were finally analyzed, excluding those containing insufficient answers and errors, by distributing 40 copies of the data. SPSS Data Access pack 8.0 was used for data analysis, Cronbach's α value was evaluated for internal consistency reliability of each item, and Pearson Correlation coeffient between the lower scales of the assessment tool was measured. Results: The Cronbach's α value of the CFT was shown as .892 and the reliability of the assessment paper was shown to be quite high. The Cronbach's α value for each item in the cognitive assessment tool was the highest at .899 in the subtraction item, with exercise control (mook Chi Pa) at 888, visual memory, plus .887. The correlation of each item of cognitive assessment tools was found to be most correlated with the number of sustained concentrates and word2 to .934; in the stop word-numeric item and visual memory to be .85; and in the addition to the auditory memory item .739. Conclusion: Therefore, this study developed cognitive evaluation tools that can distinguish the diversity and cognitive level of screening tests and clarify standards, which are different from the existing dementia screening tools in Korea. Furthermore, the cognitive assessment tools of this study can be verified by applying them to patients with mild cognitive impairment and early dementia, and the criteria for generalization can be established.

• Journal of Audiology & Otology
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• v.23 no.2
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• pp.83-88
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• 2019

Background and Objectives: Mild cognitive impairment (MCI) is a disorder that usually occurs in the elderly, leading to dementia in some progressive cases. The purpose of this study is to examine the utility of central auditory processing tests as early diagnostic tools for identifying the elderly with MCI. Subjects and Methods: This study was conducted on 20 elderly patients with MCI and 20 healthy matched peers. The speech perception ability in a quiet environment and in the presence of background noise and also temporal resolution were assessed by using Speech Perception in Noise (SPIN) and Gap in Noise (GIN) tests, respectively. Results: The results indicated that the ability to understand speech in a quiet environment did not differ significantly between the two groups. However, SPIN at the three signal-to-noise ratios and the temporal resolution scores were significantly different between the two groups (p<0.001). Conclusions: Individuals with MCI appear to have poorer speech comprehension in noise and a lower temporal resolution than those of the same age, but without cognitive defects. Considering the utility of these tests in identifying cognitive problems, we propose that since the GIN test seems to be less influenced by intervening factors, this test can therefore, be a useful tool for the early screening of elderly people with cognitive problems.