期刊文献+

桥脑梗死的磁共振静息态功能连接多模态应用研究 被引量:9

Multimodal f MRI resting-state functional connectivity in pontine infarction
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摘要 目的综合应用三种静息态f MRI功能连接类数据处理方法,探讨桥脑梗死患者脑功能的变化。方法应用静息态f MRI对10例亚急性期桥脑梗死患者及10例年龄、性别与患者匹配的健康正常志愿者进行扫描。首先采用度中心度(DC)和镜像组织功能连接(VMHC)对数据进行预分析,得到梗死患者脑功能的主要改变,然后利用预分析得到的结果作为感兴趣区(ROI),使用基于感兴趣区的功能连接(ROI-FC)分析梗死患者脑功能网络的改变。结果 DC未发现梗死患者脑功能的改变;VMHC发现梗死患者左右顶下小叶和角回交界部位之间的功能连接显著降低;以此为感兴趣区ROI-FC发现患者脑默认网络(DMN)和左额顶网络(FPN)功能紊乱。结论综合应用这三种静息态f MRI功能连接类数据处理方法,从不同角度分析桥脑梗死患者的脑功能改变,可以得到可靠且有临床针对性的信息。 Objective To investigate the brain function change of patients with pontine infarction with 3 fMRI resting-state functional connectivity measures, nethds The resting-state fMRI was acquired in 10 subacute pontine infarction patients and 10 normal controls. We firstly used degree centrality(DC) and voxel-mirrored homotopic connectivity (VMHC) to analyze the data, got the main brain function change of patients that was used as the region of interest (ROI), then, we used ROI-based functional connectivity (ROI-FC) to analyze the brain network change of patients. Results In DC, there is no effect, in VMHC, the patients have significant decrease in connectivity between bilateral border region of inferior parital lobule and angular gyrus. Taking it as the ROI, in ROI-FC, the patients have brain function disorder mainly in default mode network(DMN) and left frontoparietal network (FPN). Conclusion Combined with the application of different functional connectivity measures, the brain function of pontine infarction patients can be investigated at different levels, which can get reliable and clinically relevant information.
出处 《医学影像学杂志》 2016年第1期1-5,共5页 Journal of Medical Imaging
基金 "十二五"国家科技支撑计划(2012BAI10B04) 国家自然科学基金(81271556) 北京市自然科学基金(7113155) 北京市教委科研计划(KM201210025013)资助
关键词 桥脑 脑梗死 静息态功能磁共振成像 Pontine Infarction Resting-state functional MRI
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参考文献19

  • 1陈晓俊,徐立安,王飞.桥脑梗死临床与磁共振成像类型特点(附77例分析)[J].航空航天医学杂志,2012,23(1):1-5. 被引量:5
  • 2尼沙古丽.吐尔逊,朱沂.桥脑梗死的研究进展[J].神经损伤与功能重建,2014,9(1):59-60. 被引量:3
  • 3Xi-Nian Zuo, Ross Ehmke, Maarten Mennes, et al. Network centrality in the human functional connectome [ J ]. Cerebral Cortex, 2012, 22(8) : 1862-1875.
  • 4Xi-Nian Zuo, Clare Kelly, Adriana Di Martino, et al. Growing together and growing apart: regional and sex differences in the li- fespan developmental trajectories of functional homotopy [ J ]. J Neurosci, 2010, 30(45): 15034-15043.
  • 5Alex R, Carter, Gordon L. Shulman, Maurizio Corbetta, et al. Why use a connectivity-based approach to study stroke and recov- ery of function? [J]. Neuroimage, 2012, 62(4) : 2271-2280.
  • 6Hoshino H, Takagi M, Yamamoto Y, et al. Neurological progres- sion and clinical outcome of branch atheromatous disease ( results from the J-BAD registry) [J]. Rinsho Shinkeigaku, 2010, 50 (11) : 919-920.
  • 7Habas C, Kamdar N, Nguyen D, et al. Distinct cerebellar contri- butions to intrinsic connectivity networks [ J ]. J Neurosci, 2009, 29(6) :8586-8594.
  • 8Christian Grefkes, C, ereon R. Fink. Reorganization of cerebral networks after stroke: new insights from neuroimaging with con- nectivity approaches [ J ]. Brain, 2011, 134 (5) : 1264-1276.
  • 9Rehme AK, Grefkes C. Cerebral network disorders after stroke: evidence from imaging-based connectivity analyses of active and resting brain states in humans [ J]. J Physiol, 2013, 591 (Ptl) : 17-31.
  • 10王辉,卢洁,李坤成,张苗,王晓怡.静息态功能磁共振数据处理方法的应用[J].中国医学影像技术,2013,29(4):651-654. 被引量:17

二级参考文献25

  • 1叶辉,邵娇梅,蒋键刚,赵春霞,张帆,汪道文.血同型半胱氨酸与心脑血管疾病关系随访研究[J].心脏杂志,2006,18(1):60-61. 被引量:31
  • 2脑卒中患者临床神经功能缺损程度评分标准(1995)[J].中华神经科杂志,1996,29(6):381-383. 被引量:15767
  • 3白润涛,葛朝莉,韩漫夫,陈婷.桥脑梗死的临床分析[J].中国实用神经疾病杂志,2007,10(1):82-83. 被引量:4
  • 4韩伏莅,张贞浏,李作汉,钱敏.无定位体征的脑干腔隙性梗塞[J].中华神经科杂志,1996,29(2):71-74. 被引量:33
  • 5Zou QH, Zhu CZ, Yang Y, et al. An improved approach to de- tection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF. ] Neurosc Methods, 2008,172(1) : 137-141.
  • 6Zang Y, Jiang T, Lu Y, et al. Regional homogeneity approach to fMRI data analysis. Neuroimage, 2004,22 (1) : 394-400.
  • 7Fox MD, Snyder AZ, Vincent JL, et al. The human brain is in- trinsically organized into dynamic, anticorrelated functional net- works. Proc Natl Acad Sci U S A, 2005,102(27):9673-9678.
  • 8Cordes D, Haughton VM, Arfanakis K, et al. Frequencies con tributing to functional connectivity in the cerebral cortex in "rest ing-state" data. AJNR Am J Neuroradiol, 2001, 22 (7) : 1326 1333.
  • 9Niazy RK, Xie J, Miller K, et al. Spectral characteristics of rest- ing state networks. Prog Brain Res, 2011,193:259-276.
  • 10Cole DM, Smith SM, Beckmann CF. Advances and pitfalls in the analysis and interpretation of resting-state FMRI data. Front Syst Neurosci, 2010,4 : 8.

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