• The Korean Journal of Nuclear Medicine Technology
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• v.19 no.1
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• pp.12-16
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• 2015

Purpose Principal component analysis (PCA) is a method often used in the neuroimagre analysis as a multivariate analysis technique for describing the structure of high dimensional correlation as the structure of lower dimensional space. PCA is a statistical procedure that uses an orthogonal transformation to convert a set of observations of correlated variables into a set of values of linearly independent variables called principal components. In this study, in order to investigate the usefulness of PCA in the brain PET image analysis, we tried to analyze C[11]-PIB PET image as a representative case. Materials and Methods Nineteen subjects were included in this study (normal = 9, AD/MCI = 10). For C[11]-PIB, PET scan were acquired for 20 min starting 40 min after intravenous injection of 9.6 MBq/kg C[11]-PIB. All emission recordings were acquired with the Biograph 6 Hi-Rez (Siemens-CTI, Knoxville, TN) in three-dimensional acquisition mode. Transmission map for attenuation-correction was acquired using the CT emission scans (130 kVp, 240 mA). Standardized uptake values (SUVs) of C[11]-PIB calculated from PET/CT. In normal subjects, 3T MRI T1-weighted images were obtained to create a C[11]-PIB template. Spatial normalization and smoothing were conducted as a pre-processing for PCA using SPM8 and PCA was conducted using Matlab2012b. Results Through the PCA, we obtained linearly uncorrelated independent principal component images. Principal component images obtained through the PCA can simplify the variation of whole C[11]-PIB images into several principal components including the variation of neocortex and white matter and the variation of deep brain structure such as pons. Conclusion PCA is useful to analyze and extract the main pattern of C[11]-PIB image. PCA, as a method of multivariate analysis, might be useful for pattern recognition of neuroimages such as FDG-PET or fMRI as well as C[11]-PIB image.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.11
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• pp.4234-4243
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• 2010

Dementia such as poor concentration, anxiety and tension makes it hard to continue exercise in reality. For this, intermediate exercise is suggested in this study. And the study investigates the effects on senior fitness, cognitive function(MMSE-K) and daily living activity(ADL) by continuous exercise and intermittent exercise, which helps to provide proper exercise treatment to them. For this, female elderly patients at A dementia hospital in B Metropolitan city are selected and they have been diagnosed with possible Alzheimer's disease according to DSM-IV. Among them, six(6) are grouped for continuous exercise and five(5) for intermediate exercise, total 11 people are finally tested. They are given hand&foot exercise, Korean folk dance and band exercise three times a week for the total 12 weeks. The continuous exercise group does their exercise one time of 30 minutes a day while the intermediate exercise group for three times of each 10 minute a day. For the result, SPSS Ver. 18.0 is used to get mean value(M) and standard deviation(SD) and in order to verify the interaction effect between exercise group and time, two-way repeated ANOVA is applied and statistical significance level is set at .05. The result shows that there is significant difference in time between senior fitness and cognitive function. But there is no significant difference in group and time${\times}$group. And there is no significant difference in time, group and time${\times}$group for daily living activity. Continuous exercise group and intermediate exercise group both have the similar effects. That does not mean that intermediate exercise is the best for all people with dementia, but in terms of exercise time, intermittent exercise may be effective for patients of light dementia.

• Food Science and Preservation
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• v.15 no.5
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• pp.743-748
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• 2008

Amyloid $\beta$ peptide ($A{\beta}$) is known to increase oxidative stress in nerve cells, leading to apoptosis that is characterized by free radical formation and lipid peroxidation. Neurodegenerative diseases such as Alzheimer's disease (AD) are characterized by large deposits of $A{\beta}$ in the brain. In our study, neuronal protective effects of green tea, along with water activity (0.813), and leaf storage periods (fresh leaf, or leaf stored for up to 4 weeks) were investigated. We measured protective effects against $A{\beta}$-induced cytotoxicity in neuron-like PC12 cells. Powdered green tea was extracted with distilled water at $70^{\circ}C$ for 5 min, and this extract was freeze-dried and stored at $-20^{\circ}C$ until use. In cell viability assays using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT), the fresh extract, and that obtained after 1 week of leaf storage, showed the best protective effects against $A{\beta}$-induced neurotoxicity. As oxidative stress causes membrane breakdown, the protective effect of green tea extracts was investigated using lactate dehydrogenase (LDH) and trypan blue exclusion assays. LDH release into the medium was inhibited (by 20-25%) in all tests. In addition, all green tea extracts (fresh, or stored before extraction for up to 4 weeks) showed better cell protective effects ($93.3{\pm}1.8-96.2{\pm}2.4$) than did vitamin C ($91.0{\pm}1.6$), used as a positive control. The results suggest that effectiveness of green tea extracts falls with prolonged leaf storage.

• Journal of Life Science
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• v.29 no.2
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• pp.173-180
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• 2019

Amyloid ${\beta}$-protein ($A{\beta}$) is the principal component of senile plaques characteristic of Alzheimer's disease (AD) and elicits a toxic effect on neurons in vitro and in vivo. Many environmental factors, including antioxidants and proteoglycans, modify $A{\beta}$ toxicity. It is worthwhile to isolate novel natural compounds that could prove therapeutic for patients with AD without causing detrimental side effects. In this study, we investigated the in vitro neuroprotective effects of the ethyl acetate fraction of methanol extract of Ophiophogon japonicas (OJEA fraction). We used an MTT reduction assay to detect protective effects of the OJEA fraction on $A{\beta}_{25-35}$-induced cytotoxicity to PC12 cells. We also used a cell-based ${\beta}$-secretase assay system to investigate the inhibitory effect of the OJEA fraction on ${\beta}$-secretase activity. In addition, we performed an in vitro lipid peroxidation assay to evaluate the protective effect of the OJEA fraction against oxidative stress induced by $A{\beta}_{25-35}$ in PC12 cells. The OJEA fraction had strong protective effects against $A{\beta}_{25-35}$-induced cytotoxicity to PC12 cells and was strongly inhibitory to ${\beta}$-secretase activity, which resulted in the attenuation of $A{\beta}$ generation. In addition, the OJEA fraction significantly decreased malondialdehyde (MDA) content, which is induced by the exposure of PC12 cells to $A{\beta}_{25-35}$. Our results suggested that the OJEA fraction contained active compounds exhibiting a neuroprotective effect on $A{\beta}$ toxicity.

• Korean Journal of Psychosomatic Medicine
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• v.29 no.2
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• pp.184-190
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• 2021

Objectives : Dementia is one of the most distressing mental health problems in the older population. Caregivers also experienced physical, psychological, and emotional stress from taking care of dementia patients. So, we developed program for supporting dementia caregiver and evaluated its efficacy on reducing caregiver burden. Methods : We provided 5 sessions of dementia caregiver supporting program to 30 caregivers who were taking care of dementia patient in their home. Program was held in Cheonan Center for Alzheimer's disease and other dementia that was established by Cheonan city government for supporting dementia patients and their caregivers. We evaluated caregiver burden using short Zarit burden inventory consisted of 12 items scoring 0 (no burden) to 4 (everyday burden) before and after program. We evaluated satisfaction of caregiver about program using satisfaction survey consisted of 10 items scoring 0 (very dissatisfy) to 4 (very satisfy) after program. Results : Mean age of caregiver was 61.9. 40.0% (n=12) of caregivers were spouse. 53.3% (n=16) of caregivers were son or daughter. Caregiver burden that was estimated by short Zarit burden inventory were significantly decreased after program (p<0.001). When each item was compared, 4 items (7, 10, 11 and 12) were significantly decreased after program (p=0.036, p=0.018, p=0.01, p=0.024). All mean scores of 10 items about satisfaction were over 3 meaning that participants generally satisfied to program. Conclusions : Our study suggested that dementia caregiver supporting program could reduce caregiver burden and provide satisfaction. Therefore, programs for supporting dementia caregivers might be important as well as treating dementia patients. So, we should be interested in developing and providing efficiently this kind of program to reduce caregiver burden.

• Journal of the Korean Society of Radiology
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• v.84 no.3
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• pp.638-652
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• 2023

Purpose To investigate the MRI markers for the prediction of amyloid β (Aβ)-positivity in mild cognitive impairment (MCI) and Alzheimer's disease (AD), and to evaluate the differences in MRI markers between Aβ-positive (Aβ [+]) and -negative groups using the machine learning (ML) method. Materials and Methods This study included 139 patients with MCI and AD who underwent amyloid PET-CT and brain MRI. Patients were divided into Aβ (+) (n = 84) and Aβ-negative (n = 55) groups. Visual analysis was performed with the Fazekas scale of white matter hyperintensity (WMH) and cerebral microbleeds (CMB) scores. The WMH volume and regional brain volume were quantitatively measured. The multivariable logistic regression and ML using support vector machine, and logistic regression were used to identify the best MRI predictors of Aβ-positivity. Results The Fazekas scale of WMH (p = 0.02) and CMB scores (p = 0.04) were higher in Aβ (+). The volumes of hippocampus, entorhinal cortex, and precuneus were smaller in Aβ (+) (p < 0.05). The third ventricle volume was larger in Aβ (+) (p = 0.002). The logistic regression of ML showed a good accuracy (81.1%) with mini-mental state examination (MMSE) and regional brain volumes. Conclusion The application of ML using the MMSE, third ventricle, and hippocampal volume is helpful in predicting Aβ-positivity with a good accuracy.