Please wait a minute...
 首页  About Journal Qun Xue Subscription Contact us English
 
最新录用  |  当期目录  |  过刊浏览  |  热点文章  |  阅读排行  |  下载排行  |  引用排行
临床转化神经科学  2017, Vol. 3 Issue (4): 246-256    DOI: 10.18679/CN11-6030/R.2017.036
  Review Article 本期目录 | 过刊浏览 | 高级检索 |
Neural matrix and its role in preoperative evaluation of partial epilepsy
Jingzhan Wu1, Mingming Zhou2
1. Department of Neurosurgery, the Second Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning 530007, China;
2. The Second People's Hospital of Qin Zhou, Qinzhou 535000, China
Neural matrix and its role in preoperative evaluation of partial epilepsy
Jingzhan Wu1, Mingming Zhou2
1. Department of Neurosurgery, the Second Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning 530007, China;
2. The Second People's Hospital of Qin Zhou, Qinzhou 535000, China
下载:  PDF (921KB) 
输出:  BibTeX | EndNote (RIS)      
摘要 The network characteristic of the central neural system has been widely accepted as a basic fabric form. However, the matrix characteristics of neural network are still not fully understood. If we ignore the matrix characteristics of the neural networks and just pay close attention to its connection mode, we are likely to fall into the theory of mechanical reductionism. This can lead to a problem in representing consciousness in a disadvantageous situation. It can also be a barrier to further improving the global workspace theory. Incomplete elucidation of the mechanisms of consciousness representation can also affect the assessment of the surgical outcome of partial epilepsy with conscious injury. Therefore, this paper reviews the epistemological development of neuroscience. We will initially describe the matrix characteristics of the neural system and their significance to the information processing mechanism, and further explore the role of neural matrix in identifying cases of partial epilepsy with little effect on the resection of the lesion.
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
关键词:  neural matrix  neural circuit  neural network  partial epilepsy consciousness    
Abstract: The network characteristic of the central neural system has been widely accepted as a basic fabric form. However, the matrix characteristics of neural network are still not fully understood. If we ignore the matrix characteristics of the neural networks and just pay close attention to its connection mode, we are likely to fall into the theory of mechanical reductionism. This can lead to a problem in representing consciousness in a disadvantageous situation. It can also be a barrier to further improving the global workspace theory. Incomplete elucidation of the mechanisms of consciousness representation can also affect the assessment of the surgical outcome of partial epilepsy with conscious injury. Therefore, this paper reviews the epistemological development of neuroscience. We will initially describe the matrix characteristics of the neural system and their significance to the information processing mechanism, and further explore the role of neural matrix in identifying cases of partial epilepsy with little effect on the resection of the lesion.
Key words:  neural matrix    neural circuit    neural network    partial epilepsy consciousness
收稿日期:  2017-09-25      修回日期:  2017-11-01           出版日期:  2017-12-30      发布日期:  2017-12-30      期的出版日期:  2017-12-30
引用本文:    
Jingzhan Wu, Mingming Zhou. Neural matrix and its role in preoperative evaluation of partial epilepsy[J]. 临床转化神经科学, 2017, 3(4): 246-256.
Jingzhan Wu, Mingming Zhou. Neural matrix and its role in preoperative evaluation of partial epilepsy. Translational Neuroscience and Clinics, 2017, 3(4): 246-256.
链接本文:  
http://tnc.tsinghuajournals.com/CN/10.18679/CN11-6030/R.2017.036  或          http://tnc.tsinghuajournals.com/CN/Y2017/V3/I4/246
[1] Johnson DM, Gruber HE, Barrett PH. Darwin on man: a psychological study of scientific creativity. Am J Psychol 1975, 88(3): 523-524.
[2] Guo XQ. A pioneer in neural impulse-Andrew Huxley. Prog Physiol Sci 2013, 44(4): 314-320.
[3] Heywood C A, Cowey A. The role of the ‘face-cell’ area in the discrimination and recognition of faces by monkeys. Philosophical Transactions of the Royal Society of London 1992, 335(1273): 31.
[4] Gauthier I, Tarr M J, Anderson A W, Skudlarski P, Gore JC. Activation of the middle fusiform ‘face area’ increases with expertise in recognizing novel objects. Nature Neuroscience 1999, 2(6): 568.
[5] Burwick T. The binding problem. Wiley Interdiscip Rev Cogn Sci 2014, 5(3): 305-315.
[6] Hubel DH, Wiesel TN, Yeagle EM, Lafer-Sousa R, Conway BR. Binocular stereoscopy in visual areas V-2, V-3, and V-3A of the macaque monkey. Cereb Cortex 2015, 25(4): 959-971.
[7] Bear MF, Connors BW, Paradiso MA. Neuroscience: Exploring the Brain. Wang JJ, trans. 2nd ed. Beijing: Higher Education Press, 2004, pp 25. (in Chinese)
[8] Lüders HO, Comair YG. Epilepsy Surgery. Wang ZG, Wang CW, trans. 2nd ed Ji'nan: Shandong Science and Technology Press, 2003, pp 12. (in Chinese)
[9] Xiao ZJ, Bo L. The voice coding of the first spike timing of Auditory neuron. In Proceedings of the 5th Symposium for Chinese Neuroscientists Worldwide 2008, Changsha, China, 2008, pp 393-399.
[10] Nicholls JG, Martin AR, Wallace BG, Fuchs PA. From Neuron to Brain. Yang XL, trans. Beijing: Science Press, 2003, pp 450-452. (in Chinese)
[11] Wang QY, Shi X, Lu QS. The Synchronization Dynamics of the Coupled Neural System. Beijing: Science Press, 2008, pp 3. (in Chinese)
[12] Steinmetz PN, Roy A, Fitzgerald PJ, et al. Attention modulates synchronized neuronal firing in primate somatosensory cortex. Nature 2000, 404(6774): 187-190.
[13] Gray CM, König P, Engel AK, Singer W. Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties. Nature 1989, 338(6213): 334-337.
[14] Zhang X, Yuan P J, Wang Y, Jiang Y. Neural Entrainment and Perception. Prog Biochem Biophys 2016, 43(4): 308-315. (in Chinese)
[15] Izquierdo I, Medina JH. Correlation between the pharmacology of long-term potentiation and the pharmacology of memory. Neurobiol Learn Mem 1995, 63(1): 19-32.
[16] Hegde AN. Proteolysis, synaptic plasticity and memory. Neurobiol Learn Mem 2017, 138: 98-110.
[17] Elgersma Y, Silva AJ. Molecular mechanisms of synaptic plasticity and memory. Curr Opin Neurobiol 1999, 9(2): 209-213.
[18] Lledo PM, Zhang XY, Südhof TC, Malenka RC, Nicoll RA. Postsynaptic membrane fusion and long-term potentiation. Science 1998, 279(5349): 399-403.
[19] Kleschevnikov AM, Routtenberg A. Long-term potentiation recruits a trisynaptic excitatory associative network within the mouse dentate gyrus. Eur J Neurosci 2003, 17(12): 2690-2702.
[20] Camera D, Coleman HA, Parkington HC, Jenkins TA, Pow DV, Boase N, Kumar S, Poronnik P. Learning, memory and long-term potentiation are altered in Nedd4 heterozygous mice. Behav Brain Res 2016, 303: 176-181.
[21] Linden DJ, Connor JA. Long-term synaptic depression. Annu Rev Neurosci 1995, 18: 319-357.
[22] Dietz B, Manahan-Vaughan D. Hippocampal long-term depression is facilitated by the acquisition and updating of memory of spatial auditory content and requires mGlu5 activation. Neuropharmacology 2017, 115: 30-41.
[23] Ferster D. Spatially opponent excitation and inhibition in simple cells of the cat visual cortex. J Neurosci 1988, 8(4): 1172-1180.
[24] Li YT, Liu BH, Chou XL, Zhang LI, Tao HW. Synaptic basis for differential orientation selectivity between complex and simple cells in mouse visual cortex. J Neurosci 2015, 35(31): 11081-11093.
[25] Hou XL, Hu Y, Li YQ, Xu XH. Rational structure of multi-layer artificial neural network. J Northeast Univ Nat Sci 2003, 24(1): 35-38. (in Chinese)
[26] Haider B, Krause MR, Duque A, Yu YG, Touryan J, Mazer JA, McCormick DA. Synaptic and network mechanisms of sparse and reliable visual cortical activity during nonclassical receptive field stimulation. Neuron 2010, 65(1): 107-121.
[27] Crair MC, Ruthazer ES, Gillespie DC, Stryker MP. Ocular dominance peaks at pinwheel center singularities of the orientation map in cat visual cortex. J Neurophysiol 1997, 77(6): 3381-3385.
[28] Ribot J, Romagnoni A, Milleret C, Bennequin D, Touboul J. Pinwheel-dipole configuration in cat early visual cortex. Neuroimage 2016, 128: 63-73.
[29] Obermayer K, Blasdel GG. Geometry of orientation and ocular dominance columns in monkey striate cortex. J Neurosci 1993, 13(10): 4114-4129.
[30] Hubel DH, Wiesel TN. Shape and arrangement of columns in cat's striate cortex. J Physiol 1963, 165(3): 559-568.
[31] Szentágothai J, Arbib MA. Conceptual models of neural organization. Neurosci Res Program Bull 1974, 12(3): 305-510.
[32] Li S, Qi X L, Hu H. The synchronous oscillation in neural network model of functional column. Sci China Ser C 2004, 34(4): 385-394.
[33] Pizarro RA. Estimating neural networks with state-of-the-art neuronal computational models. University of Wisconsin- Madison, Madison, USA, 2016.
[34] Jack JJ, Redman SJ, Wong K. The components of synaptic potentials evoked in cat spinal motoneurones by impulses in single group Ia afferents. J Physiol 1981, 321(1): 65-96.
[35] Jack JJ, Redman SJ, Wong K. Modifications to synaptic transmission at group Ia synapses on cat spinal motoneurones by 4-aminopyridine. J Physiol 1981, 321(1): 111-126.
[36] Korn H, Faber DS. Regulation and significance of probabilistic release mechanisms at central synapses. In: Synaptic Function. Edelman GM, Gall WE, Cowan WM, Eds. New York: John Wiley & Sons, 1987, pp 57-180.
[37] Li Z P, Liu S W. Clinical Anatomy of Central Neural System. 2nd ed. Beijing: Science Press, 2009. (in Chinese)
[38] Dai J H, Zhang H J, Zhang S M. Analysis of spikes spatiotemporal mode of rat motor cortex cluster. Sci China Ser C, 2009, 39(8): 736-745.
[39] Pfaff D. Brain Arousal and Information Theory, Neural and Genetic Mechanisms. Zheng R M, trans. Beijing: Peking University Medical Press, 2008. (in Chinese)
[40] Shang Y C. Animal Behavior. Beijing: Peking University Press, 2005. (in Chinese)
[41] Masland R H. The fundamental plan of the retina. Nat Neurosci 2001, 4(9): 877-886.
[42] Hubel D H, Wiesel T N. Integrative action in the cat's lateral geniculate body. J Physiol 1961, 155(2): 385-398.
[43] Livingstone M, Hubel D. Segregation of form, color, movement, and depth: anatomy, physiology, and perception. Science 1988, 240(4853): 740-749.
[44] Penfield W, Welch K. Instability of response to stimulation of the sensorimotor cortex of man.J. Physiol.1949, 109: 358-365.
[45] Bear MF, Connors BW, Paradiso MA. Neuroscience: Exploring the Brain. Wang JJ, trans. 2nd ed. Beijing: Higher Education Press, 2004, pp 306. (in Chinese)
[46] Baars BJ. A Cognitive Theory of Consciousness. An H, trans. Beijing: Science Press, 2014. (in Chinese)
[47] Jerath R, Crawford MW, Barnes VA. A unified 3D default space consciousness model combining neurological and physiological processes that underlie conscious experience. Front Psychol 2014, 6: 1204.
[48] Wu X. The brain mechanisms of information binding. Ph.D. Dissertation, University of Science and Technology of China, Anhui, China, 2007.
[49] Kwon CS, Neal J, Telléz-zenteno J, Metcalfe A, Fitzgerald K, Hernandez-Ronquillo L, Hader W, Wiebe S, Jetté N. Resective focal epilepsy surgery-Has selection of candidates changed? A systematic review. Epilepsy Res 2016, 122: 37-43.
[50] Wang SC, Gao JJ. Secondary operation for Recurrence of Intractable epilepsy. ChongQin Med J 2016, 45(8): 1107-1110.
[51] Castelvecchi D. Can we open the black box of AI? Nature 2016, 538(7623): 20-23.
No related articles found!
[1] Bangyong Keum, Yijun Liu. Analysis of 3-D Frictional Contact Mechanics Problems by a Boundary Element Method[J]. Tsinghua Science and Technology, 2005, 10(1): 16 -29 .
[2] Bangyong Keum, Yijun Liu. Analysis of 3-D Frictional Contact Mechanics Problems by a Boundary Element Method[J]. Tsinghua Science and Technology, 2005, 10(1): 16 -29 .
[3] Bangyong Keum, Yijun Liu. Analysis of 3-D Frictional Contact Mechanics Problems by a Boundary Element Method[J]. Tsinghua Science and Technology, 2005, 10(1): 16 -29 .
[4] Meng Junping,Dong Shoubin,Tang Liqun,Jiang Yi. A Hybrid Mathematical Model of Tumor-Induced Angiogenesis with Blood Perfusion[J]. Tsinghua Science and Technology, 2014, 19(6): 648 -657 .
[5] Meng Junping,Dong Shoubin,Tang Liqun,Jiang Yi. A Hybrid Mathematical Model of Tumor-Induced Angiogenesis with Blood Perfusion[J]. Tsinghua Science and Technology, 2014, 19(6): 648 -657 .
[6] Meng Junping,Dong Shoubin,Tang Liqun,Jiang Yi. A Hybrid Mathematical Model of Tumor-Induced Angiogenesis with Blood Perfusion[J]. Tsinghua Science and Technology, 2014, 19(6): 648 -657 .
[7] Jing Xi, Yuan Gao, Lijun Kong, Yandao Gong, Nanming Zhao, Xiufang Zhang. Behavior of MC3T3-E1 Osteoblast Cultured on Chitosan Modified with Polyvinylpyrrolidone[J]. Tsinghua Science and Technology, 2005, 10(4): 439 -444 .
[8] Jing Xi, Yuan Gao, Lijun Kong, Yandao Gong, Nanming Zhao, Xiufang Zhang. Behavior of MC3T3-E1 Osteoblast Cultured on Chitosan Modified with Polyvinylpyrrolidone[J]. Tsinghua Science and Technology, 2005, 10(4): 439 -444 .
[9] Jing Xi, Yuan Gao, Lijun Kong, Yandao Gong, Nanming Zhao, Xiufang Zhang. Behavior of MC3T3-E1 Osteoblast Cultured on Chitosan Modified with Polyvinylpyrrolidone[J]. Tsinghua Science and Technology, 2005, 10(4): 439 -444 .
[10] Kang Chen, Meiming Shen, Weimin Zheng. Resources Allocation Schemas for Web Information Monitoring[J]. Tsinghua Science and Technology, 2005, 10(3): 309 -315 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《临床转化神经科学》编辑部


本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn