• The Journal of the Society of Stroke on Korean Medicine
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• v.10 no.1
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• pp.54-61
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• 2009

Arteriosclerosis is a pathologic term that contains hardening of arterial wall, loss of arterial elasticity and stenosis of artery. To diagnose this disease, conventional angiography, MRA, transcranial doppler ultrasonography are commonly used. And it causes various clinical phases by a region of the disease. In oriental medicine, arteriosclerosis is classified into congested fluids(痰飮), blood stasis(瘀血), stagnation of Gi(氣滯) and treated by Herb-Med, acupuncture, cupping, moxibustion, and the like. The purpose of this study was to investigate the effect of oriental medical therapy on cerebral arteriosclerosis. A patient with cerebrovascular disease admitted due to dizziness, mild dysarthria, tinnitus, anxiety disorder and his Brain MRA showed severe arteriosclerosis in right anterior cerebral artery(ACA) and middle cerebral artery(MCA). Every day, we administered to patient Herb Med and Herb pills. Also, acupuncture, moxibustion were done, too. As a result of the treatment, the patient's follow up Brain MRA showed improved state of ACA stenosis.

• Korean Journal of Biological Psychiatry
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• v.30 no.1
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• pp.24-30
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• 2023

Objectives Alzheimer's disease (AD) is the most common form of dementia in older adults, damaging the brain and resulting in impaired memory, thinking, and behavior. The identification of differentially expressed genes and related pathways among affected brain regions can provide more information on the mechanisms of AD. The aim of our study was to identify differentially expressed genes associated with AD and combined biomarkers among them to improve AD risk prediction accuracy. Methods Machine learning methods were used to compare the performance of the identified combined biomarkers. In this study, three publicly available gene expression datasets from the hippocampal brain region were used. Results We detected 31 significant common genes from two different microarray datasets using the limma package. Some of them belonged to 11 biological pathways. Combined biomarkers were identified in two microarray datasets and were evaluated in a different dataset. The performance of the predictive models using the combined biomarkers was superior to those of models using a single gene. When two genes were combined, the most predictive gene set in the evaluation dataset was ATR and PRKCB when linear discriminant analysis was applied. Conclusions Combined biomarkers showed good performance in predicting the risk of AD. The constructed predictive nomogram using combined biomarkers could easily be used by clinicians to identify high-risk individuals so that more efficient trials could be designed to reduce the incidence of AD.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.183-189
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• 2023

A stroke is a medical disease where a blood vessel in the brain ruptures, causes damage to the brain. If the flow of blood and different nutrients to the brain is intermittent, symptoms may occur. Stroke is other reason for loss of life and widespread disorder. The prevalence of stroke is high in growing countries, with ischemic stroke being the high usual category. Many of the forewarning signs of stroke can be recognized the seriousness of a stroke can be reduced. Most of the earlier stroke detections and prediction models uses image examination tools like CT (Computed Tomography) scan or MRI (Magnetic Resonance Imaging) which are costly and difficult to use for actual-time recognition. Machine learning (ML) is a part of artificial intelligence (AI) that makes software applications to gain the exact accuracy to predict the end results not having to be directly involved to get the work done. In recent times ML algorithms have gained lot of attention due to their accurate results in medical fields. Hence in this work, Stroke disease identification system by using Machine Learning algorithm is presented. The ML algorithm used in this work is Artificial Neural Network (ANN). The result analysis of presented ML algorithm is compared with different ML algorithms. The performance of the presented approach is compared to find the better algorithm for stroke identification.

• Journal of Acupuncture Research
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• v.20 no.2
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• pp.29-41
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• 2003

Clinical observation was made on 52 cases of Stroke that were confined through brain CT, MRI scan. The Stroke cases wee classified into the following kinds cerebral infarction, cerebral hemorrhage, cerebellar or brain stem infarction, cerebellar or brain stem hemorrhage. And among the 52 cases of Stroke cerebral infarction was noticed in 75.00%, cerebral hemorrhage in 11.54%, cerebellar or brain stem infarction in 9.52%, cerebellar or brain stem hemorrhage in 3.85%. The ratio between males and females was 1.74:1 in the whole groups of Stroke and most cases were over 60 of age. As the time of hospitalization, most patients hospitalized from 1 day after stroke to 7 days after stroke. And as the course of hospitalization, most patients hospitalized first. Among the preceding disease at the onset of Stroke hypertention was noted in 32.69%, and deabetes mellitus or heart problem was noted frequently(15.39%). Electrocardiography findings were as follows: The normal was noted in 53.85%, the abnormal in 46.15%. And as the abnormal, left ventricular hypertrophy was noted in 17.54%. The predisposing factors or conditions at the onset of brain infarction were usually initiated during the time of sleeping and those of brain hemorrhage chiefly during the time of exercising like overwork or walking etc. It was noted that smoking a pack of cigarette showed highest disease rate(33.33%) among the average of smoking amount of one day in case of man. Prior to attack, the most chiefly complain was dyspnea or discomfort on chest region. And 30.70% of patients had no previous sign. There were a large number of recurrent cases. The first attack was noted in 71.15%, the 2nd attack in 23.08%, the 3rd attack in 5.77%.

• Molecules and Cells
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• v.40 no.7
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• pp.450-456
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• 2017

Mammalian physiology and behavior are regulated by an internal time-keeping system, referred to as circadian rhythm. The circadian timing system has a hierarchical organization composed of the master clock in the suprachiasmatic nucleus (SCN) and local clocks in extra-SCN brain regions and peripheral organs. The circadian clock molecular mechanism involves a network of transcription-translation feedback loops. In addition to the clinical association between circadian rhythm disruption and mood disorders, recent studies have suggested a molecular link between mood regulation and circadian rhythm. Specifically, genetic deletion of the circadian nuclear receptor Rev-$erb{\alpha}$ induces mania-like behavior caused by increased midbrain dopaminergic (DAergic) tone at dusk. The association between circadian rhythm and emotion-related behaviors can be applied to pathological conditions, including neurodegenerative diseases. In Parkinson's disease (PD), DAergic neurons in the substantia nigra pars compacta progressively degenerate leading to motor dysfunction. Patients with PD also exhibit non-motor symptoms, including sleep disorder and neuropsychiatric disorders. Thus, it is important to understand the mechanisms that link the molecular circadian clock and brain machinery in the regulation of emotional behaviors and related midbrain DAergic neuronal circuits in healthy and pathological states. This review summarizes the current literature regarding the association between circadian rhythm and mood regulation from a chronobiological perspective, and may provide insight into therapeutic approaches to target psychiatric symptoms in neurodegenerative diseases involving circadian rhythm dysfunction.

• Biomedical Science Letters
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• v.24 no.4
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• pp.418-425
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• 2018

Amyloid brain positron emission tomography (PET) images are visually and subjectively analyzed by the physician with a lot of time and effort to determine the ${\beta}$-Amyloid ($A{\beta}$) deposition. We designed a convolutional neural network (CNN) model that predicts the $A{\beta}$-positive and $A{\beta}$-negative status. We performed 18F-florbetaben (FBB) brain PET on controls and patients (n=176) with mild cognitive impairment and Alzheimer's Disease (AD). We classified brain PET images visually as per the on the brain amyloid plaque load score. We designed the visual geometry group (VGG16) model for the visual assessment of slice-based samples. To evaluate only the gray matter and not the white matter, gray matter masking (GMM) was applied to the slice-based standard samples. All the performance metrics were higher with GMM than without GMM (accuracy 92.39 vs. 89.60, sensitivity 87.93 vs. 85.76, and specificity 98.94 vs. 95.32). For the patient-based standard, all the performance metrics were almost the same (accuracy 89.78 vs. 89.21), lower (sensitivity 93.97 vs. 99.14), and higher (specificity 81.67 vs. 70.00). The area under curve with the VGG16 model that observed the gray matter region only was slightly higher than the model that observed the whole brain for both slice-based and patient-based decision processes. Amyloid brain PET images can be appropriately analyzed using the CNN model for predicting the $A{\beta}$-positive and $A{\beta}$-negative status.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.1497-1498
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• 2013

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.987-988
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• 2013

• Toxicological Research
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• v.23 no.2
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• pp.107-114
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• 2007

Although there are some questions about the venues of adult neurogenesis, it is undoubtedly accepted that new neurons are born in adult brains. Adult neurogenesis is regulated by a wide array of factors. Insults harmful to brain, such as neurodegenerative diseases, seizure, ischemia and exposure to drugs of abuse, are intricately related to adult neurogenesis. Whereas neurodegenerative diseases are characterized by death or functional loss of specific neurons, recent studies report that they can be accompanied by neurogenesis. In addition, alcohol and drugs of abuse which have been reputed to cause irreversible damage to brain can also generate newly born cells in adult brain. As yet, however, we have little knowledge of the functional significance and roles of adult neurogenesis under pathological settings, not to mention under physiological settings. Accordingly, in this review we briefly summarize the results of studies which focus on adult neurogenesis in insulted brain, instead of trying to draw hurried conclusion regarding the relationship between adult neurogenesis and brain insults.

• Biomolecules & Therapeutics
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• v.10 no.4
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• pp.218-223
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• 2002

This study compared the blood-brain barrier permeability of [$^3H$] taurine in senescence-accelerated mouse (SAM) and normal mouse with common carotid artery perfusion (CCAP) method and intravenous injection technique to establish a possible relation between aging and changes in tissue levels of taurine. The SAM strains show senescence acceleration and age-associated pathological phenotypes similar to geriatric disorders seen in humans. In the result of this experiments, the plasma clearance of [$^3H$]taurine in SAM was almost comparable with that of normal mice by intravenous injection technique, but the brain volume of distribution ($V_{D brain}$) of [$^3H$]taurine in SAM by CCAP method reduced by 85% compared with that in normal mice. These results suggest that aging may have an effect on the brain transport activity of taurine in disease state model animal.