• 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.

• 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.

• BMB Reports
• /
• v.49 no.6
• /
• pp.337-343
• /
• 2016

Understanding of trafficking, processing, and degradation mechanisms of amyloid precursor protein (APP) is important because APP can be processed to produce β-amyloid (Aβ), a key pathogenic molecule in Alzheimer's disease (AD). Here, we found that APP contains KFERQ motif at its C-terminus, a consensus sequence for chaperone-mediated autophagy (CMA) or microautophagy which are another types of autophagy for degradation of pathogenic molecules in neurodegenerative diseases. Deletion of KFERQ in APP increased C-terminal fragments (CTFs) and secreted N-terminal fragments of APP and kept it away from lysosomes. KFERQ deletion did not abolish the interaction of APP or its cleaved products with heat shock cognate protein 70 (Hsc70), a protein necessary for CMA or microautophagy. These findings suggest that KFERQ motif is important for normal processing and degradation of APP to preclude the accumulation of APP-CTFs although it may not be important for CMA or microautophagy.

• Journal of Oriental Neuropsychiatry
• /
• v.17 no.2
• /
• pp.91-122
• /
• 2006

Objective : This research investigates the effect of the Jangwon-Dan,(JWD) on Alzheimer's disease. Method : The effects of the JWN extract on (1) $IL-1{\beta}$, IL-6, and $TNF-{\alpha}$ mRNA of PC-12 cells treated with LPS; (2) amyloid precursor proteins(APP), acetylcholinesterase(AChE), and glial fibrillary acidic protein(GFAP) mRNA, the AChE activity and the APP production of PC-12 cell treated with CT-105; (3) the behavior; (4) expression of $IL-1{\beta}$, $TNF-{\alpha}$, MDA, $IL-1{\beta}$ mRNA, and $TNF-{\alpha}$ mRNA, (5) the infarction area of the hippocampus, and brain tissue injury in Alzheimer's diseased mice induced with ${\beta}A$ were investigated. Result : 1. The JWN extract suppressed the expression of $IL-1{\beta}$, IL-6 and $TNF-{\alpha}$ mRNA in THP-1 cells treated with LPS. 2. The JWN extract suppressed the expression of APP, AChE, and GFAP mRNA in PC-12 cells treated with CT-105. 3. The JWN extract suppressed the AChE activity, and the production of APP significantly in PC-12 cells treated with CT-105. 4. For the JWN extract group 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. 5. The JWN extract suppressed the over-expression of $IL-1{\beta}$ protein, $TNF-{\alpha}$ protein, MDA, $IL-1{\beta}$ mRNA, $TNF-{\alpha}$ mRNA, and CD68/GFAP, in the mice with Alzheimer's disease induced by ${\beta}A$. 6. The JWN extract reduced the infarction area of hippocampus, and controlled the injury of brain tissue in the mice with Alzheimer's disease induced by ${\beta}A$. Conclusion : These results suggest that the JWN extract may be effective for the prevention and treatment of Alzheimer's disease. Investigation into the clinical use of the JWN extract for Alzheimer's disease is suggested for future research.

• Journal of Oriental Neuropsychiatry
• /
• v.17 no.1
• /
• pp.37-57
• /
• 2006

Objective : This research investigates the effect of the CMT and MCMT on Alzheimer‘s disease. Methods : The effects of the CMT and MCMT extract on (1) amyloid precursor proteins(APP), acetylcholinesterase(AChE) mRNA of PC-12 cells treated with CT-105; (2) the AChE activity and the APP production of PC-12 cell treated with CT-105; (3) the behavior; (4) expression of $IL-1{\beta}$, $TNF-{\alpha}$, MDA, GFAP, CD68 abd CD11b; (5) the infarction area of the hippocampus in Alzheimer's diseased mice induced with ${\beta}A$ were investigated. Results : 1. The CMT and MCMT extract suppressed the expression of APP, AChE, and mRNA in PC-12 cells treated with CT-105. 2. The CMT and MCMT extract suppressed the AChE activity, and the production of APP significantly in PC-12 cells treated with CT-105. 3. For the CMT and MCMT extract group 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. 4. The CMT and MCMT extract suppressed the over-expression of $IL-1{\beta}$, $TNF-{\alpha}$, MDA, GFAP, CD68 abd CD11bCD68/GFAP, in the mice with Alzheimer's disease induced by ${\beta}A$. 5. The CMT and MCMT extract reduced the infarction area of hippocampus with Alzheimer's disease induced by ${\beta}A$ 6. The MCMT showed more excellent effects than CMT in the every experiments except PC-12 cells. Conclusions : These results suggest that the CMT and MCMT extract may be effective for the prevention and treatment of Alzheimer's disease. Investigation into the clinical use of the CMT and MCMT extract for Alzheimer's disease is suggested for future research.

• The Journal of Korean Medicine
• /
• v.28 no.2 s.70
• /
• pp.137-154
• /
• 2007

Objective : This experiment was designed to investigate the effect of the GYZB hot water extract & ultra-fine powder on the Alzheimer's disease model induced by amyloid ${\beta}$ protein (${\beta}A$). Method : We measured the effects of the GYZB hot water extract on expression of $IL-1{\beta}$, IL-6 mRNA and production of IL-6, $TNF-{\alpha}$ in the BV2 microglial cell line treated with lipopolysaccharide (LPS). The effects of the GYZB hot water extract & ultra-fine powder on (1) the behavior, (2) expression of $IL-1{\beta}$ and $TNF-{\alpha}$, (3) glucose in serum, (4) the infarction area of the hippocampus, and brain tissue injury in mice induced with Alzheimer's diseased by ${\beta}A$ were investigated. Results : The GYZB hot water extract suppressed the expression of $IL-1{\beta}$ and IL-6 mRNA and significantly suppressed the production of IL-6 and $TNF-{\alpha}$ in the BV2 microglial cell line treated with LPS. The GYZB hot water extract & ultra-fine powder showed a significant inhibitory effect on the memory deficit of 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. The GYZB ultra-fine powder significantly suppressed the expression of $IL-1{\beta}$ and $TNF-{\alpha}$ protein, and the GYZB hot water extract significantly suppressed the expression of $TNF-{\alpha}$ protein in the microglial cell of mice with Alzheimer's disease induced by ${\beta}A$. The GYZB hot water extract & ultra-fine powder reduced the infarction area of hippocampus in the mice with Alzheimer's disease induced by ${\beta}A$. Conclusions : These results suggest that GYZB hot water extract & ultra-fine powder may be effective for the prevention and treatment of Alzheimer's disease. Investigation into the clinical use of GYZB for Alzheimer's disease is suggested for future research.