期刊文献+

脑功能网络研究及其在颅脑肿瘤患者中的应用 被引量:2

下载PDF
导出
摘要 人脑是自然界最复杂的系统之一,对它的研究极具挑战性[1]。人脑功能具有信息整合和功能分化两大作用,使得大脑能够快速提取并处理信息。脑功能网络是分析空间上分离的脑区时间上的相关性,即脑区间是否存在连接关系以及连接关系的强弱[2],是对大脑结构网络中不同神经元、神经元集群或脑区之间动态活动的相关关系的直观描述。随着脑功能成像技术及相关设备的更新,统计物理学的发展,尤其是基于图论知识的复杂网络理论的发展为进一步研究脑功能网络提供了必要的条件和分析方法。
出处 《临床神经外科杂志》 CAS 2014年第4期313-314,共2页 Journal of Clinical Neurosurgery
基金 江苏省科技发展计划项目(BL2012041) 南京市医学科技发展项目(YKK12138)
  • 相关文献

参考文献4

二级参考文献116

  • 1刘宏毅,常义,邹元杰,吕著海,张岩松,陈宁,刘文.三维弥散张量成像在脑胶质瘤术前评价及术中神经导航中的应用[J].临床神经外科杂志,2004,1(4):146-148. 被引量:7
  • 2张卫东,李家尧,梁碧玲.弥散张量成像对颅脑肿瘤与相邻脑白质纤维束解剖关系的评价[J].中国医学影像学杂志,2007,15(1):1-4. 被引量:20
  • 3Cammoun L, Gigandet X, Sporns O, et al. Connectome alterations in schizophrenia. Neurolmage, 2009, 47:S157.
  • 4Vaessen M J, Jansen J F, Hofman P A, et al. Impaired small-world structural brain networks in chronic epilepsy. Neurolmage, 2009, 47: S113.
  • 5Friston K J, Frith C D, Liddle P F, et al. Functional connectivity: The principal component analysis of large (PET) data sets. J Cereb Blood Flow Metab, 1993, 13:5-14.
  • 6Stam C J. From synchronization to networks: Assessment of functional connectivity in the brain. In: Perez Velazquez J L, Richard W, eds. Coordinated Activity in the Brain, vol 2. Berlin Heidelberg: Springer-Verlag, 2009.91-115.
  • 7Stephan, Hilgetag K E, Burns C C, et al. Computational analysis of functional connectivity between areas of primate cerebral cortex. Philos Trans R Soc Lond B Biol Sci, 2000, 355:111-126.
  • 8Micheloyannis S, Pachou S, Stam C J, et al. Using graph theoretical analysis of multi channel EEG to evaluate the neural efficiency hypothesis. Neurosci Lett, 2006, 402:273-277.
  • 9Micheloyannis S, Vourkas S, Tsirka M, et al. The influence of ageing on complex brain networks: A graph theoretical analysis. Hum Brain Mapp, 2009, 30:200-208.
  • 10Ferri R, Rundo F, Bruni O, et al. Small-world network organization of functional connectivity of EEG slow-wave activity during sleep. Clin Neurophysiol, 2007, 118:449-456.

共引文献168

同被引文献16

  • 1邸新,饶恒毅.人脑功能连通性研究进展[J].生物化学与生物物理进展,2007,34(1):5-12. 被引量:18
  • 2Stefan H,Paulini-Ruf A,Hopfengartner R,et a/. Network characteristics of idiopathic generalized epilepsies in combined MEG/EEG [ J ]. Epilepsy Res,2009,85 : 187.
  • 3Smith SM, Miller KL, Salimi-Khorshidi G, et al. Network modelling methods for fMRI [ J ]. Neuroimage,2011,54 : 875.
  • 4Brookes M J, Hale JR, Zumer JM, et al. Measuring functionalconnectivity using MEG: methodology and comparison with fcMRI [ J ]. Neuroimage ,2011,56 : 1082.
  • 5Yang T, Ren J, Li Q,et al. Increased interhemispheric resting-state in idiopathic generalized epilepsy with generalized tonic-clonic seizures: A resting-state fMRI study [ J ]. Epilepsy Res, 2014, 108 : 1299.
  • 6Waites AB, Briellmann RS, Saling MM, et al. Functional conn- ectivity networks are disrupted in left temporal lobe epilepsy [ J 1. Ann Neuro1,2006,59:335.
  • 7Hagmann P, Cammoun L, Gigandet X, et al. Mapping the structural core of human cerebral cortex[ J]. PLoS Biol,2008,6 : 159.
  • 8Wu T, Ge S, Rui Z, et al. Neuromagnetic coherence of epileptic activity : An MEG study [ J], Seizure, 2014, 23:417.
  • 9Zhu H, Zhu J, Zhao T, et al. Alteration of interictal brain activity in patients with temporal lobe epilepsy in the left dominant hemisphere:a resting-state MEG study[ J]. Biomed Res Int,2014, 2014 : 171487.
  • 10柯铭,沈辉,胡德文.基于fMRI的静息状态脑功能复杂网络分析[J].国防科技大学学报,2010,32(1):147-151. 被引量:14

引证文献2

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部