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Shuji Iritani 《Neuropathology》2007,27(6):604-608
The neuropathology of schizophrenia remains obscure despite the fact that many neuropathologists have investigated this area for over 100 years. While remarkable progress has been made in the neuropathological study of neurodegenerative diseases including Alzheimer's disease, progress in studying the neuropathological entity of schizophrenia has not kept pace; the phrase “schizophrenia is the graveyard of neuropathologists” has been stated in the field. Since the 1980s, the morphological or functional abnormalities in the brains of schizophrenia patients have been reported by means of CT or MRI and with advanced functional brain image technology such as positron emission tomography or single photon emission computed tomography. Results from such imaging studies have led to neuropathological examination of the post mortem brains of schizophrenia patients being undertaken again. These neuroimaging studies have influenced the neuropathological investigation of the schizophrenic brain. Not only the classical microscopic observation of neuropathology, but also measurement and statistical analysis using computer imaging software or using immunohistological techniques has been performed. Based on the neuropathological studies of schizophrenia over the last 20 years, it is clear that schizophrenia is not a pure functional disease without organic factors. Reports of neuropathological abnormalities in the post mortem schizophrenic brain indicated they were found in almost all areas of the brain, but there are more reports describing the temporal lobe and frontal lobe compared to those describing other areas of the brain. These observed neuropathological abnormalities are explained rationally by the hypothesis of a neurodevelopmental disorder in this disease. In recent molecular biology studies, several putative candidate genes were reported, and some of these genes might have the function of neurodevelopment or making neuronal networks. It is important to consider together these findings with morphometric studies in neuropathological observation, neuroimaging studies and genome studies to pursue the etiology of schizophrenia from various perspectives. 相似文献
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论网络化时代电视教材的重要性 总被引:7,自引:3,他引:4
郭玉军 《中国医学教育技术》2003,17(2):70-72
针对教学实践中重视计算机辅助教学忽视电视教材的倾向,本文通过对网络时代中电视教材的作用和地位的分析,阐述了加强计算机辅助教学的必要性和加强电视教材制作及应用的重要性以及二者间的关系。 相似文献
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基于无线网络及条形码技术的图书排架、定位系统 总被引:3,自引:2,他引:1
王海燕 《中华医学图书情报杂志》2005,15(4):50-52
利用无线网络与条形码技术,建立起图书排架、定位系统,可实现图书排架和图书的准确定位.该系统可有效地解决传统管理方法易产生的乱架和死书问题,提高图书借阅效率并降低管理人员的工作强度. 相似文献
17.
H. Condé 《Experimental brain research. Experimentelle Hirnforschung. Expérimentation cérébrale》1992,88(2):233-248
Summary A comprehensive review of the literature on the anatomy, electrophysiology and pharmacology of thesubstantia nigra is presented. A diagram is developed taking into account the interneuronal interactions of neurotransmitters and receptors that control firing rates and neurotransmitter releases. The central features of the diagram are a positive dopaminergic feedforward process and a positive feedback mechanism mediated by extrasynaptic substance P diffusing from striatal terminals to dopaminergic dendrites of thezona compacta neurons. This loop can enhance the transmission of information from thestriatum through thepars reticulata output neurons. The loop is controlled at the level of zona compacta neurons by a negative feedback supported by the dendritic release of dopamine and boosted by pedunculopontine activation mediated by muscarinic receptors. The output of the loop is controlled by two negative feedforward processes, both involving GABAergic striatonigral afferents. Application of the model to pharmacological studies of diverse behaviors including seizures, turning, and conditioned behaviors reveals unforseen relationships and may offer insights into, and directions for, further analysis of the mechanisms and functions involved. 相似文献
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BP神经网络是目前应用最广泛的人工神经网络模型,本文详细阐述了BP神经网络的原理和特点,并论述了其在药学研究中的应用。 相似文献
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QIN Jian LIU Hong-jian DENG Wei WU Guo-zhen CHEN Shu-qing JING Ming-hua 《中国生物医学工程学报(英文版)》2005,14(3):114-119
Based on the fuzzy characteristic of the pulse state and syndromes differentiation thinking mode of TCM, an information fusing recognition method of pulse states based on SFNN (Stochastic Fuzzy Neural Network) is presented in this paper. With the learning ability in parameters and structure, SFNN fuses the measurement information of three pulse-state sensors distributed in Cun, Guan, and Chi location of body for the pulse state recognition. The experimental results show that the percentage of correct recognition with new method is higher than that by single-data recognition one, with fewer off-line train numbers. 相似文献
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