• Journal of Multimedia Information System
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• v.9 no.1
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• pp.21-32
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• 2022

Early-stage diagnosis of Alzheimer's Disease (AD) from Cognitively Normal (CN) patients is crucial because treatment at an early stage of AD can prevent further progress in the AD's severity in the future. Recently, computer-aided diagnosis using magnetic resonance image (MRI) has shown better performance in the classification of AD. However, these methods use a traditional machine learning algorithm that requires supervision and uses a combination of many complicated processes. In recent research, the performance of deep neural networks has outperformed the traditional machine learning algorithms. The ability to learn from the data and extract features on its own makes the neural networks less prone to errors. In this paper, a dense neural network is designed for binary classification of Alzheimer's disease. To create a classifier with better results, we studied result of different activation functions in the prediction. We obtained results from 5-folds validations with combinations of different activation functions and compared with each other, and the one with the best validation score is used to classify the test data. In this experiment, features used to train the model are obtained from the ADNI database after processing them using FreeSurfer software. For 5-folds validation, two groups: AD and CN are classified. The proposed DNN obtained better accuracy than the traditional machine learning algorithms and the compared previous studies for AD vs. CN, AD vs. Mild Cognitive Impairment (MCI), and MCI vs. CN classifications, respectively. This neural network is robust and better.

• Journal of Oriental Neuropsychiatry
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• v.28 no.4
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• pp.401-408
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• 2017

Objectives: The purpose of this study is to obtain the differential variable and learning effect of the serial position effect, targeting individuals aged 60 years and over. A total of 89 individuals were categorized into the following groups: Alzheimer's group, vascular dementia group, elderly depression group, and normal group. Methods: Considering the size of the groups used for comparison, of the total 89 participants, 28 were in the Alzheimer's group, 24 in the vascular dementia group, 16 in the elderly depression group, and 21 were randomly chosen for the normal group. In the CERAD-K word list memory test, 10 words were shown to the subjects. We then asked them to freely recall the words. After changing the order of the words three times, the same process was followed. Results: First, a significant difference was observed among the groups in terms of word recalling rate. The analysis conducted afterward showed that, as predicted, the depressed group showed significantly better performance in recalling the words. Second, the vascular dementia patients and the Alzheimer's patients showed, as predicted, better recall of the largest recency region of words shown. Third, the normal group and the elderly depressed group showed a high-performance rate, proving that the reiterative method can contribute to the recalling process. Thus, we demonstrated that the Alzheimer's group showed the deterioration of short memory recalling skills and the elderly depressed showed deteriorated output performance skill.

• Journal of Korea Entertainment Industry Association
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• v.15 no.1
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• pp.181-189
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• 2021

The purpose of this study is to investigate the relationship between "Mental Status and Dementia Tests" and "predictive diagnosis of severity of dementia". This is a descriptive research, analyze the data collected from Alzheimer's patients and identify which "Mental Status and Dementia Tests" has the most impact to determine the severity of dementia. For this study, Alzheimer's patient's CDR, MMSE-K, SGDS, NPI-Q, BADL and IADL were collected and analyzed. This study will provide a predictive factor to determine the severity of dementia when "Mental Status and Dementia Testss" are being used and also to provide the right treatment. For this study, a total of 617 cases of data from Alzheimer's patients were collected and analyzed with SPSS Statistics. In addition, effective "Mental Status and Dementia Tests" for evaluating the severity of dementia were CDR, ADL, MMSE-K, and SGDS whereas NPI-Q and IADL. Based on the findings of the study, it was recommended to implement more efficient diagnostic method by utilizing a standardized "Mental Status and Dementia Tests".

• The Journal of Internal Korean Medicine
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• v.45 no.2
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• pp.149-158
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• 2024

Introduction: In this case report, we describe the clinical effectiveness of Yigan-san-gami in improving symptoms in a patient with worsening Alzheimer's dementia after COVID-19 infection. Case presentation: Symptoms of dementia worsened in a patient with Alzheimer's disease after COVID-19 infection. Western medicines were added following neurological consultation. However, there was no medicinal effect. The patient was treated with Korean medicine (Yigan-san-gami) three times a day. We used daily charts, the Korean Mini-Mental State Examination-2 (K-MMSE-2), Clinical Dementia Rating (CDR), and Short Version Geriatric Depression Scale (SGDS) to assess the patient's symptoms. Cognitive decline and behavioral and psychological symptoms of dementia (BPSD) improved following the treatment with Yigan-san-gami. Conclusion: The results suggest that Yigan-san-gami may be effective in improving symptoms of Alzheimer's disease that worsen after COVID-19 infection.

• Journal of Oriental Neuropsychiatry
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• v.21 no.2
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• pp.171-189
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• 2010

Objectives : This research investigates the effect of the HBSBS on Alzheimer's disease. Specifically, the effects of the HBSBS extract on (1) the behavior (2) the infarction area of the hippocampus, and brain tissue injury in Alzheimer's disease mice induced with $\beta$A were investigated. Methods : The effects of the HBSBS extract suppressed the expression of IL-1$\beta$, IL-6, TNF-$\alpha$ and NOS-II mRNA in BV2 microglial cell line treated with LPS plus $\beta$A were investigated. The effects of the HBSBS extract on the behavior of the memory deficit mice induced by scopolamine were investigated. Results : 1. The HBSBS extract suppressed the expression of IL-1$\beta$, IL-6, TNF-$\alpha$ and NOS-II mRNA in BV2 microglial cell line treated with LPS plus $\beta$A. 2. The HBSBS extract suppressed the expression of $\beta$A protein production in BV2 microglial cell line treated with LPS plus $\beta$A. 3. The HBSBS extract showed significantly inhibitory effect on the scopolamine-induced impairment of memory in the experiment of Morris water maze. 4. The HBSBS group suppressed the over-expression of IL-1$\beta$ protein, TNF-$\alpha$ protein significantly in the mice with Alzheimer's disease induced by $\beta$A. 5. The HBSBS group reduced the infarction area of hippocampus, and controlled the injury of brain tissue in the mice with Alzheimer's disease induced by $\beta$A. 6. The HBSBS group reduced tau protein, and GFAP in the brain tissue of the mice with AD induced by $\beta$A. Conclusions : These results suggest that the HBSBS group may be effective for the treatment of AD. Thus, HBSBS could be considered among the future therapeutic drugs indicated for the treatment of AD.

• Journal of Korea Multimedia Society
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• v.23 no.9
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• pp.1129-1138
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• 2020

The performance of convolutional deep learning networks is generally determined according to parameters of target dataset, structure of network, convolution kernel, activation function, and optimization algorithm. In this paper, a genetic algorithm is used to select the appropriate deep learning model and parameters for Alzheimer's classification and to compare the learning results with preliminary experiment. We compare and analyze the Alzheimer's disease classification performance of VGG-16, GoogLeNet, and ResNet to select an effective network for detecting AD and MCI. The simulation results show that the network structure is ResNet, the activation function is ReLU, the optimization algorithm is Adam, and the convolution kernel has a 3-dilated convolution filter for the accuracy of dementia medical images.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.391-397
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• 2018

The purpose of this study was to explore the effect of recreation therapy program on cognitive function and balance sensation of demented elderly patients. The subjects were 16 elderly patients diagnosed with Alzheimer's dementia, divided into experimental group and control group. Recreation therapy program was provided to experimental group for 6 months and the change of cognitive function and balance before and after treatment was analyzed in both groups. The research concluded that the recreation therapy program maintained or even enhanced cognitive function and balance in the elderly with Alzheimer's dementia. The development along with the verification of effectiveness of non-pharmacological methods such as recreational therapy contributed to the study of treatment for the elderly with dementia.

• Journal of The Korean Society of Integrative Medicine
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• v.2 no.3
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• pp.1-7
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• 2014

Purpose : The purpose of this study was to evaluate the influence of Lowenstein Occupational Therapy Cognitive Assessment(LOTCA) and Activities of Daily Living(ADL) by CogPack program in elderly with Alzheimer's dementia. Method : The subjects of this study, elderly diagnosed with Alzheimer's dementia, 8 patients were picked up, who were agreed with this research. Cognitive training for 6 weeks, which consisted of 3 times per week, 30 min of memory, attention and performance with cogpack program. Cognitive and ADL measured by LOTCA and FIM. The SPSS Ver. 14.0 statistical program was used for data processing. The significance level for statistical inspection was set as 0.05. Result : In comparison of LOTCA was significantly correlated in the pre and post test but FIM was not significantly correlated in the pre and post test. Conclusion : Therefore, the CogPack program is useful to improve the LOTCA in elderly with Alzheimer's dementia.

• Journal of Acupuncture Research
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• v.23 no.3
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• pp.117-127
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• 2006

Alzheimer's disease (AD) is the most prevalent form of neurodegenerative disease associated with aging in the human population. This disease is characterized by the following 4 structural changes : Atrophy of the Cortex, Parasympathetic, and other neural cells, the existence of Neurofibrillary tangles (NFTs), and the accumulation of Senile plaques. NFTs and Senile plaques is known to be the index of this disease. Senile plaques disturbs the neutro transmission and depletes of Acetylcholine. So, Recovery of Acetylcholine is the primal objective for treating Alzheimer's disease. So, Inhibiting the activity of Acetylcholine Esterase (AChE), which causes the hydrolysus of acetylcholine into choline and acetate, can be seen as a key role for treating Alzheimer's disease. Increasing body of evidence has been demonstrated that Bee Venom Acupuncture (BV) could compete with complex protein involving in multiple step of $NF-_{\kappa}B$ activation and exert the anti-inflammatory potential of combined inhibition of the prostanoid and nitric oxide synthesis systems by inhibition of IKK and $NF-_{\kappa}B$. BV dose-dependently attenuated Scopolamine-induced Acetylcholine esterase activities in cerebral cortex and hippocampus of the mice brain. This study therefore suggests that BV acupuncture method may be useful for prevention of development or progression of AD.

• Journal of the Korean Society of Physical Medicine
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• v.7 no.1
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• pp.37-47
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• 2012

Purpose : The purpose of this study is to examine the effects of training in exercise rehabilitation on depressive emotion, behavioral and psychological symptoms(BPSD) caused by Alzheimer's disease elders. Methods : The subjects of this study were 34 patients with Alzheimer's disease over 65 and assigned randomly into one of two groups, each with 17 people. The experimental group was treated by training in exercise rehabilitation executed 60 minutes, 3 times a week for 8 weeks. The results of the experiment were analyzed using samples t-test along with averages and standard deviations as the statistical methods for data analyses. Results : The results of this study were as follows. First, the experimental group showed statistically significant improvements in the areas of depressive emotion(SGDS) compared to control group. Second, the experimental group showed statistically significant improvements in the severity of behavioral and psychological symptoms and subjective degrees of pain of care givers(NPI-Q) compared to control group. Conclusion : Based on the results of this study, training in exercise rehabilitation have an effect on depressive mood and BPSD in elderly with Alzheimer's disease.