• 제목/요약/키워드: Whole Brain Model

검색결과 41건 처리시간 0.027초

전뇌 방사선치료 시 Optimold에 따른 수정체의 흡수선량 평가 (The evaluation of lens absorbed dose according to the Optimold for whole brain radiation therapy)

  • 양용모;박병석;안종호;송기원
    • 대한방사선치료학회지
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    • 제26권1호
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    • pp.77-81
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    • 2014
  • 목 적 : 현재 전뇌 방사선 치료 시 두부의 고정을 위하여 Optimold가 사용되고 있다. 하지만 Optimold로 인한 산란선에 의해 피부선량이 약 22% 증가하게 된다. 백내장을 일으키는 최소선량이 2 Gy 이므로 특히 수정체에서는 영향이 크다고 볼 수 있다. 이에 전뇌 방사선 치료 시 Optimold 안구 부분의 유무에 따른 수정체에 흡수되는 선량을 비교평가 하고자 한다. 대상 및 방법 : 안구 부분의 Optimold의 유무에 따른 수정체에 흡수되는 선량을 비교평가 하고자 인체모형팬텀(Anderson Rando Phantom, USA)의 수정체 부분에 5mm bolus를 올려 Optimold mask를 만들었다. 모의치료 시 수정체의 선량측정을 위해 bolus 밑에 GAFCHROMIC EBT3 film을 위치시켜 모의치료를 진행하고 전산화치료계획시스템(Pinnacle, PHILIPS, USA)을 통해 치료계획을 수립한 후 치료도 동일하게 진행하여 3회 반복측정 하였다. 안구 부분의 Optimold mask를 제거하고 위와 동일한 방법으로 측정하였다. 디지털 평판 스캐너(Expression 10000XL, EPSON, USA)를 이용하여 film을 스캔한 후 선량을 측정하여 안구 부분의 Optimold mask의 유무에 따른 선량을 비교평가 하였다. 결 과 : 안구 부분의 Optimold mask가 있을 때 모의치료 시 $10.2cGy{\pm}1.5$, 치료 시 $24.8cGy{\pm}2.7$, 안구 부분의 Optimold mask를 제거하였을 때 모의치료 시 $12.9cGy{\pm}2.2$, 치료 시 $17.6cGy{\pm}1.5$로 측정 되었다. 결 론 : 안구 부분의 Optimold mask를 제거하였을 경우 제거하지 않았을 경우에 비하여 모의치료 시 약 3 cGy의 선량이 증가하였고 치료 시 약 7 cGy의 선량이 감소하였다. 전 치료과정 중 수정체의 흡수선량이 약 27%감소되어 방사선감수성이 높은 수정체에 흡수되는 선량이 줄어 백내장을 일으킬 확률과 부작용을 감소시킬 수 있을 것으로 사료된다.

Transcriptomic Analysis of Rat Brain Tissue Following Gamma Knife Surgery: Early and Distinct Bilateral Effects in the Un-Irradiated Striatum

  • Hirano, Misato;Shibato, Junko;Rakwal, Randeep;Kouyama, Nobuo;Katayama, Yoko;Hayashi, Motohiro;Masuo, Yoshinori
    • Molecules and Cells
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    • 제27권2호
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    • pp.263-268
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    • 2009
  • Gamma knife surgery (GKS) is used for the treatment of various human brain disorders. However, the biological effects of gamma ray irradiation on both the target area, and the surrounding tissues are not well studied. The effects of gamma ray exposure to both targeted and untargeted regions were therefore evaluated by monitoring gene expression changes in the unilateral irradiated (60 Gy) and contralateral un-irradiated striata in the rat. Striata of irradiated and control brains were dissected 16 hours post-irradiation for analysis using a whole genome 44K DNA oligo microarray approach. The results revealed 230 induced and 144 repressed genes in the irradiated striatum and 432 induced and 239 repressed genes in the unirradiated striatum. Out of these altered genes 39 of the induced and 16 of the reduced genes were common to both irradiated and un-irradiated tissue. Results of semiquantitative, confirmatory RT-PCR and western blot analyses suggested that ${\gamma}$-irradiation caused cellular damage, including oxidative stress, in the striata of both hemispheres of the brains of treated animals.

MicroRNA super-resolution imaging in blood for Alzheimer's disease

  • Mirae Lee;Jiwon Woo;Sang Tae Kim;Minho Moon;Sang Yun Kim;Hanna Cho;Sujin Kim;Han-Kyeol Kim;Jeong-Yoon Park
    • BMB Reports
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    • 제56권3호
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    • pp.190-195
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    • 2023
  • We propose a novel blood biomarker detection method that uses miRNA super-resolution imaging to enable the early diagnosis of Alzheimer's disease (AD). Here, we report a single-molecule detection method for visualizing disease-specific miRNA in tissue from an AD mice model, and peripheral blood mononuclear cells (PBMCs) from AD patients. Using optimized Magnified Analysis of Proteome (MAPs), we confirmed that five miRNAs contribute to neurodegenerative disease in the brain hippocampi of 5XFAD and wild-type mice. We also assessed PBMCs isolated from the whole blood of AD patients and a healthy control group, and subsequently analyzed those samples using miRNA super-resolution imaging. We detected more miR-200a-3p expression in the cornu ammonis 1 and dentate gyrus regions of 3 month-old 5XFAD mice than in wild-type mice. Additionally, miRNA super-resolution imaging of blood provides AD diagnosis platform for studying miRNA regulation inside cells at the single molecule level. Our results present a potential liquid biopsy method that could improve the diagnosis of early stage AD and other diseases.

Brain Metabolic Network Redistribution in Patients with White Matter Hyperintensities on MRI Analyzed with an Individualized Index Derived from 18F-FDG-PET/MRI

  • Jie Ma;Xu-Yun Hua;Mou-Xiong Zheng;Jia-Jia Wu;Bei-Bei Huo;Xiang-Xin Xing;Xin Gao;Han Zhang;Jian-Guang Xu
    • Korean Journal of Radiology
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    • 제23권10호
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    • pp.986-997
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    • 2022
  • Objective: Whether metabolic redistribution occurs in patients with white matter hyperintensities (WMHs) on magnetic resonance imaging (MRI) is unknown. This study aimed 1) to propose a measure of the brain metabolic network for an individual patient and preliminarily apply it to identify impaired metabolic networks in patients with WMHs, and 2) to explore the clinical and imaging features of metabolic redistribution in patients with WMHs. Materials and Methods: This study included 50 patients with WMHs and 70 healthy controls (HCs) who underwent 18F-fluorodeoxyglucose-positron emission tomography/MRI. Various global property parameters according to graph theory and an individual parameter of brain metabolic network called "individual contribution index" were obtained. Parameter values were compared between the WMH and HC groups. The performance of the parameters in discriminating between the two groups was assessed using the area under the receiver operating characteristic curve (AUC). The correlation between the individual contribution index and Fazekas score was assessed, and the interaction between age and individual contribution index was determined. A generalized linear model was fitted with the individual contribution index as the dependent variable and the mean standardized uptake value (SUVmean) of nodes in the whole-brain network or seven classic functional networks as independent variables to determine their association. Results: The means ± standard deviations of the individual contribution index were (0.697 ± 10.9) × 10-3 and (0.0967 ± 0.0545) × 10-3 in the WMH and HC groups, respectively (p < 0.001). The AUC of the individual contribution index was 0.864 (95% confidence interval, 0.785-0.943). A positive correlation was identified between the individual contribution index and the Fazekas scores in patients with WMHs (r = 0.57, p < 0.001). Age and individual contribution index demonstrated a significant interaction effect on the Fazekas score. A significant direct association was observed between the individual contribution index and the SUVmean of the limbic network (p < 0.001). Conclusion: The individual contribution index may demonstrate the redistribution of the brain metabolic network in patients with WMHs.

Scopolamine으로 유도된 콜린성 신경계 차단 동물모델에서 포공영(Taraxacum platycarpum) 추출물의 기억력 개선효과 (Ameliorating Effect of Taraxacum platycarpum Extract in the Scopolamine-induced Cholinergic Blockade Mouse Model)

  • 권유빈;박호재;신범영;류종훈
    • 생약학회지
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    • 제48권2호
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    • pp.119-124
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    • 2017
  • Taraxacum platycarpum H. Dahl. (Compositae) has been used as an anti-inflammatory or anti-cancer agent in the clinic. Although its antidepressant effect has been reported, however, its cognitive function is not investigated until yet. In the present study, we investigated whether the water extract of T. platycarpum (WETP) could improve cognitive function in cholinergic blockade-induced amnesia mouse model using the passive avoidance or Y-maze task. WETP (12.5, 25 or 50 mg/kg) significantly ameliorated the scopolamine-induced cognitive impairment both in the passive avoidance test and the Y-maze test. In addition, WETP significantly inhibited acetylcholinesterase (AChE) activity measured by an ex vivo study using the mouse whole brain. These results suggest that WETP alleviates the cognitive dysfunction caused by the cholinergic blockade, in part, via AChE inhibition, and that it may be a useful for treating cognitive dysfunction.

Multichannel Convolution Neural Network Classification for the Detection of Histological Pattern in Prostate Biopsy Images

  • Bhattacharjee, Subrata;Prakash, Deekshitha;Kim, Cho-Hee;Choi, Heung-Kook
    • 한국멀티미디어학회논문지
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    • 제23권12호
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    • pp.1486-1495
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    • 2020
  • The analysis of digital microscopy images plays a vital role in computer-aided diagnosis (CAD) and prognosis. The main purpose of this paper is to develop a machine learning technique to predict the histological grades in prostate biopsy. To perform a multiclass classification, an AI-based deep learning algorithm, a multichannel convolutional neural network (MCCNN) was developed by connecting layers with artificial neurons inspired by the human brain system. The histological grades that were used for the analysis are benign, grade 3, grade 4, and grade 5. The proposed approach aims to classify multiple patterns of images extracted from the whole slide image (WSI) of a prostate biopsy based on the Gleason grading system. The Multichannel Convolution Neural Network (MCCNN) model takes three input channels (Red, Green, and Blue) to extract the computational features from each channel and concatenate them for multiclass classification. Stain normalization was carried out for each histological grade to standardize the intensity and contrast level in the image. The proposed model has been trained, validated, and tested with the histopathological images and has achieved an average accuracy of 96.4%, 94.6%, and 95.1%, respectively.

Gamma Knife Radiosurgery for Brain Metastases from Breast Cancer

  • Jo, Kyung Il;Im, Young-Hyuck;Kong, Doo Sik;Seol, Ho Jun;Nam, Do-Hyun;Lee, Jung-Il
    • Journal of Korean Neurosurgical Society
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    • 제54권5호
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    • pp.399-404
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    • 2013
  • Objective : The authors conducted a retrospective cohort study to determine prognostic factors and treatment outcomes of brain metastases (BM) from breast cancer (BC) after Gamma Knife radiosurgery (GKS). Methods : Pathologic and clinical features, and outcomes were analyzed in a cohort of 62 patients with BM from BC treated by GKS. The Kaplan- Meier method, the log-rank test, and Cox's proportional hazards model were used to assess prognostic factors. Results : Median survival after GKS was 73.0 weeks (95% confidence interval, 46.0-100.1). HER2+ [hazard ratio (HR) 0.441; p=0.045], Karnofsky performance scale (KPS) ${\geq}70$ (RR 0.416; p=0.050) and systemic chemotherapy after GKS (RR 0.282; p=0.001) were found to be a favorable prognostic factor of overall survival. Actuarial local control (LC) rate were $89.5{\pm}4.5%$ and $70.5{\pm}6.9%$ at 6 and 12 months after GKS, respectively. No prognostic factors were found to affect LC rate. Uni- and multivariate analysis revealed that the distant control (DC) rate was higher in patients with; a small number (${\leq}3$) of metastasis (HR 0.300; p=0.045), no known extracranial metastasis (p=0.013, log-rank test), or the HER2+ subtype (HR 0.267; p=0.027). Additional whole brain radiation therapy and metastasis volume were not found to be significantly associated with LC, DC, or overall survival. Conclusion : The treatment outcomes of patients with newly diagnosed BM from BC treated with GKS could be affected primarily by intrinsic subtype, KPS, and systemic chemotherapy. Therapeutic strategy and prognosis scoring system should be individualized based on considerations of intrinsic subtype in addition to traditionally known parameters related to stereotactic radiosurgery.

Microarray Analysis of Oxygen-Glucose-Deprivation Induced Gene Expression in Cultured Astrocytes

  • Joo, Dae-Hyun;Han, Hyung-Soo;Park, Jae-Sik
    • The Korean Journal of Physiology and Pharmacology
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    • 제10권5호
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    • pp.263-271
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    • 2006
  • Since astrocytes were shown to play a central role in maintaining neuronal viability both under normal conditions and during stress such as ischemia, studies of the astrocytic response to stress are essential to understand many types of brain pathology. The micro array system permitted screening of large numbers of genes in biological or pathological processes. Therefore, the gene expression patterns in the in vitro model of astrocytes following exposure to oxygen-glucose deprivation (OGD) were evaluated by using the micro array analysis. Primary astrocytic cultures were prepared from postnatal Swiss Webster mice. The cells were exposed to OGD for 4 hrs at $37^{\circ}C$ prior to cell harvesting. From the cultured cells, we isolated mRNA, synthesized cDNA, converted to biotinylated cRNA and then reacted with GeneChips. The data were normalized and analyzed using dChip and GenMAPP tools. After 4 hrs exposure to OGD, 4 genes were increased more than 2 folds and 51 genes were decreased more than 2 folds compared with the control condition. The data suggest that the OGD has general suppressive effect on the gene expression with the exception of some genes which are related with ischemic cell death directly or indirectly. These genes are mainly involved in apoptotic and protein translation pathways and gap junction component. These results suggest that microarray analysis of gene expression may be useful for screening novel molecular mediators of astrocyte response to ischemic injury and making profound understanding of the cellular mechanisms as a whole. Such a screening technique should provide insights into the molecular basis of brain disorders and help to identify potential targets for therapy.

4MAT System 학습방법이 초등학생의 창의력, 과학과 학업성취도 및 과학관련태도에 미치는 효과 (Effects of the 4MAT System on Creativity, Science Achievement and Science-related Attitudes of Elementary Students)

  • 최선영;강호감
    • 한국초등과학교육학회지:초등과학교육
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    • 제22권2호
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    • pp.156-162
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    • 2003
  • The purpose of this study was to explore effects of 4MAT system program on the creativity, science achievement and science-related attitudesof elementary school students. 4MAT learning program is a model based on the whole brain learning including the learning styles and the cognitive specialization of left and right hemispheres. The study was conducted for 10 weeks during the 1998 second semester in H elementary school which is located in Incheon. 4MAT learning program was applied to the 5th and 6th grade students. One hundred 5th grade students and eighty three 6th grade students are selected for this study. The experimental group was taught in applying the 4MAT system, and the control group was taught by the traditional manner. The results of this study were as follows: There was a significant difference on creativity between the instruction by applying 4MAT system and the traditional instruction. In the 6th grade, there was a statistically significant difference on science achievement and science-related attitude. In the 5th grade, there was slightly increased, but statistically onsignificant. In conclusion, the instruction by applying 4MAT system was more effective in developing student's creativity than the traditional instruction in both grades.

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Minimization of a Cogging Torque for an Interior Permanent Magnet Synchronous Machine using a Novel Hybrid Optimization Algorithm

  • Kim, Il-Woo;Woo, Dong-Kyun;Lim, Dong-Kuk;Jung, Sang-Yong;Lee, Cheol-Gyun;Ro, Jong-Suk;Jung, Hyun-Kyo
    • Journal of Electrical Engineering and Technology
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    • 제9권3호
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    • pp.859-865
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    • 2014
  • Optimization of an electric machine is mainly a nonlinear multi-modal problem. For the optimization of the multi-modal problem, many function calls are required with much consumption of time. To address this problem, this paper proposes a novel hybrid algorithm in which function calls are less than conventional methods. Specifically, the proposed method uses the kriging metamodel and the fill-blank technique to find an approximated solution in a whole problem region. To increase the convergence speed in local peaks, a parallel gradient assisted simplex method is proposed and combined with the kriging meta-model. The correctness and usefulness of the proposed hybrid algorithm is verified through a mathematical test function and applied into the practical optimization as the cogging torque minimization for an interior permanent magnet synchronous machine.