• Journal of Korea Multimedia Society
• /
• v.23 no.2
• /
• pp.216-226
• /
• 2020

In this paper, a stacked convolutional autoencoder model is proposed in order to classify Alzheimer's disease with high accuracy in PET/CT images. The proposed model makes use of the latent space representation - which is also called the bottleneck, of the encoder-decoder architecture: The input image is sent through the pipeline and the encoder part, using stacked convolutional filters, extracts the most useful information. This information is in the bottleneck, which then uses Softmax classification operation to classify between Alzheimer's disease, Mild Cognitive Impairment, and Normal Control. Using the data from Dong-A University, the model performs classification in detecting Alzheimer's disease up to 98.54% accuracy.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.19 no.39
• /
• pp.129-142
• /
• 1996

The early diagnosis has an very important role in curing dementia. But there was not the effective method to diagnose it until now. In this paper we analyzed the EEG of Alzheimer's disease patients and normal groups by nonlinear methods. In the analysis we calculated the correlation dimensions $D_2$ and the largest Lyapunov exponent $L_1$. We found that patients with Alzheimer's disease have significantly lower $D_2$ and TEX>$L_1$ than normal groups. It means that brains injured by Alzheimer's disease have electrophysiological inactive elements and have decreased chaotic behaviour. We propose the nonlinear analysis of the EEG as a useful tool for the early diagnosis of Alzheimer's disease.

• ETRI Journal
• /
• v.46 no.1
• /
• pp.96-105
• /
• 2024

We propose a method to automatically predict Alzheimer's disease from speech data using the ChatGPT large language model. Alzheimer's disease patients often exhibit distinctive characteristics when describing images, such as difficulties in recalling words, grammar errors, repetitive language, and incoherent narratives. For prediction, we initially employ a speech recognition system to transcribe participants' speech into text. We then gather opinions by inputting the transcribed text into ChatGPT as well as a prompt designed to solicit fluency evaluations. Subsequently, we extract embeddings from the speech, text, and opinions by the pretrained models. Finally, we use a classifier consisting of transformer blocks and linear layers to identify participants with this type of dementia. Experiments are conducted using the extensively used ADReSSo dataset. The results yield a maximum accuracy of 87.3% when speech, text, and opinions are used in conjunction. This finding suggests the potential of leveraging evaluation feedback from language models to address challenges in Alzheimer's disease recognition.

• Journal of Oriental Neuropsychiatry
• /
• v.19 no.3
• /
• pp.69-84
• /
• 2008

Objective: This experiment was designed to investigate the effects of the KBHT hot water extract & ultra-fine powder on Alzheimer's Disease Model Induced by $\beta$A. Method: The effects of the KBHT hot water extract on expression of proinflammatory cytokine mRNA in BV2 microglial celll cell line treated by lipopolysacchaide(LPS). The effects of the KBHT hot water extract & ultra-fine powder on (1) the behavior (2) AChE in serum (3) the infarction area of the hippocampus, and brain tissue injury in Alzheimer's diseased mice induced with $\beta$A were investigated. Results: 1. The KBHT hot water extract suppressed the expression of proinflammatory cytokine mRNA in BV2 microglial cell line treated with LPS. 2. The KBHT hot water extract & ultra-fine powder a significant inhibitory effect on the memory deficit was shown for the mice with Alzheimer's disease induced by $\beta$A in the Morris water maze experiment, which measured stop-through latency and distance movement-through latency 3. The KBHT hot water extract & ultra-fine powder suppressed the over-expression of AChE activity in the serum of the mice with Alzheimer's disease induced by $\alpha$A. 4. The KBHT hot water extract & ultra-fine powder suppressed the expression of TNF-$\alpha$, IL-l$\beta$ protein significantly in the microglial cell of mice with Alzheimer's disease induced by 1$\beta$A. 5. The KBHT ultra-fine powder reduced infarction area of hippocampus significantly in the mice with Alzheimer's disease induced by $\beta$A. Conclusions: These results suggest that the KBHT hot water extract & ultra-fine powder may be effective for the prevention and treatment of Alzheimer's disease. Investigation into the clinical use of the PMCMT hot water extract & ultra-fine powder for Alzheimer's disease is suggested for future research.

• Journal of Oriental Neuropsychiatry
• /
• v.19 no.2
• /
• pp.77-93
• /
• 2008

Objective : This experiment was designed to investigate the effect of the CBD hot water extract & ultra-fine Powder on Alzheimer's Disease Model Induced by ${\beta}A$. Method : The effects of the CBD hot water extract on expression of interleukin-1 beta($IL-1{\beta}$), $TNF-{\alpha}$ mRNA and production of IL-6, $TNF-{\alpha}$ in BV2 microglial cell line treated by lipopolysacchaide(LPS). The effects of the CBD hot water extract & ultra-fine powder on (1) the behavior (2) expression of $IL-1{\beta}$, tumor necrosis factor-alpha($TNF-{\alpha}$), (3) the infarction area of the hippocampus in Alzheimer's diseased mice induced with ${\beta}A$ were investigated. Result : The CBD hot water extract suppressed the expression of $IL-1{\beta}$, $TNF-{\alpha}$ mRNA in BV2 microglia cell line treated with LPS. The CBD hot water extract significantly suppressed the production of $IL-1{\beta}$, $TNF-{\alpha}$ in BV2 microglial cell line treated with LPS. The CBD hot water extract & ultra-fine powder a significant inhibitory effect on the memory deficit was shown for the mice with Alzheimer's disease induced by ${\beta}A$ in the Morris water maze experiment, which measured step-through latency and distance movement-through latency. The CBD hot water extract & ultra-fine powder significantly suppressed the expression of $IL-l{\beta}$ and $TNF-{\alpha}$ protein in the microglial cell of mice with Alzheimer's disease induced by ${\beta}A$. The CBD hot water extract & ultra-fine powder suppressed the over-expression of AChE activity in the serum of the mice with Alzheimer's disease induced by ${\beta}A$. The CBD hot water extract & ultra-fine powder reduced infarction area of hippocampus, in the mice with Alzheimer's disease induced by ${\beta}A$. Conclusions : These results suggest that the CBD hot water extract & ultra-fine powder may be effective for the prevention and treatment of Alzheimer's disease. Investigation into the clinical use of the CBD hot water extract & ultra-fine powder for Alzheimer's disease is suggested for future research.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.9
• /
• pp.3583-3597
• /
• 2020

In this paper, a parallel deep learning model using a convolutional neural network and a dilated convolutional neural network is proposed to classify Alzheimer's disease with high accuracy in PET/CT images. The developed model consists of two pipelines, a conventional CNN pipeline, and a dilated convolution pipeline. An input image is sent through both pipelines, and at the end of both pipelines, extracted features are concatenated and used for classifying Alzheimer's disease. Complimentary abilities of both networks provide better overall accuracy than single conventional CNNs in the dataset. Moreover, instead of performing binary classification, the proposed model performs three-class classification being Alzheimer's disease, mild cognitive impairment, and normal control. Using the data received from Dong-a University, the model performs classification detecting Alzheimer's disease with an accuracy of up to 95.51%.

• The Journal of Internal Korean Medicine
• /
• v.27 no.1
• /
• pp.253-264
• /
• 2006

Object: This research investigated effects of Jujadokseo-hwan on mice with Alzheimer's Disease induced by $amyloid-{\beta}$. According to Dongyibogam, Jujadokseo-hwan can cure amnesia. Amyloid-B is believed to induce oxidative stress and inflammation in the brain, postulated to play important roles in the pathogenesis of Alzheimer's disease. In this way $Amyloid-{\beta}$ induces Alzheimer's Disease. Methods : In order to make an efficient prescription and cope with dementia, learning and memory functions of mice were tested on passive avoidance test and V-maze task. $NF-{\kappa}B$ were measured from protein derived from the brain. RT-PCR was done for !gene analysis. Primers were protein kinase Band $NGF-{\alpha}$. Results : 1. Jujadokseo-hwan was effective for memory capacity on passive avoidance test. but noneffective for spatial memory capacity and locomotor activity on Y -maze task. 2. The measurement of $NF-{\kappa}B$ showed upward tendancies and the result of RT-PCR showed up-regulation when given Jujadokseo-hwan by mouth. Conclusion: Results suggest that Jujadokseo-hwan is effective on mice with Alzheimer's Disease induced by $amyloid-{\beta}$.

• Journal of Ginseng Research
• /
• v.31 no.1
• /
• pp.51-53
• /
• 2007

Ginseng shows protective and trophic effects in neurodegenerative diseases in experimental models, and showed cognitive improvement in normal population. To investigate the efficacy of ginseng in patients with Alzheimer's disease, patients, who met NINDS-ADRDA criteria for AD were studied Subjects were randomly assigned to ginseng group and control group, and ginseng group was treated with Korean white ginseng powder (4.5 g/day) for 12 weeks. Efficacy variables included changes in mini-mental status exam (MMSE) and cognitive subscales of Alzheimer's disease assessment scale (ADAS-cog) at 4 weeks and 12 weeks. Baseline MMSE and ADAS scores showed no difference between the two groups. Results showed that ginseng improved ADAS-cog compared to the control group at 12 weeks (p<0.05). MMSE was also increased by ginseng treatment compared to the control at 12 weeks (p<0.01). This study suggests the symptomatic efficacy of ginseng in patients with Alzheimer's disease.

• Journal of Korean Academy of Rural Health Nursing
• /
• v.19 no.1
• /
• pp.1-11
• /
• 2024

Purpose: This study develops a health literacy instrument for Alzheimer's disease. Methods: Items were drawn from The Korean version of the Alzheimer's Disease Knowledge Scale (ADKS) and the Korean version of European Health Literacy Survey Questionnaire (HLS-EU-Q47 & HLS-EU-Q16). Content validity was tested by experts. To further refine the questionnaires and test their reliability and validity, data were collected from 324 older adults in the community. Results: Five significant items in the two subscales were derived from the factor analysis. The subscales were named access and understanding. Reliability was good at Cronbach's ⍺ .79, and validity through exploratory factor analysis was KMO .897, p<.001, which was found to be high and significant. Conclusion: The instrument demonstrated high reliability and validity. Therefore, this instrument can contribute to the evaluation of health literacy for Alzheimer's Disease in older adults and to any subsequent intervention, as well as to develop a theory for health literacy for Alzheimer's Disease.

• Journal of Dental Anesthesia and Pain Medicine
• /
• v.17 no.4
• /
• pp.271-280
• /
• 2017

Background: The number of patients with Alzheimer's disease is growing worldwide, and the proportion of patients requiring dental treatment under general anesthesia increases with increasing severity of the disease. However, outpatient anesthesia management for these patients involves great risks, as most patients with Alzheimer's disease are old and may show reduced cardiopulmonary functions and have cognitive disorders. Methods: This study retrospectively investigated 43 patients with Alzheimer's disease who received outpatient anesthesia for dental treatment between 2012-2017. Pre-anesthesia patient evaluation, dental treatment details, anesthetics dose, blood pressure, duration and procedure of anesthesia, and post-recovery management were analyzed and compared between patients who underwent general anesthesia or intravenous sedation. Results: Mean age of patients was about 70 years; mean duration of Alzheimer's disease since diagnosis was 6.3 years. Severity was assessed using the global deterioration scale; 62.8% of patients were in level ${\geq}6$. Mean duration of anesthesia was 178 minutes for general anesthesia and 85 minutes for intravenous sedation. Mean recovery time was 65 minutes. Eleven patients underwent intravenous sedation using propofol, and 22/32 cases involved total intravenous anesthesia using propofol and remifentanil. Anesthesia was maintained with desflurane for other patients. While maintaining anesthesia, inotropic and atropine were used for eight and four patients, respectively. No patient developed postoperative delirium. All patients were discharged without complications. Conclusion: With appropriate anesthetic management, outpatient anesthesia was successfully performed without complications for dental treatment for patients with severe Alzheimer's disease.