期刊文献+

基于体素的静息态fMRI观察复发-缓解型多发性硬化患者全脑度中心度改变 被引量:4

Voxel-based resting state fMRI observation on changes of degree centrality of whole brain in patients with relapsing remitting multiple sclerosis
下载PDF
导出
摘要 目的采用基于体素的度中心度(DC)探讨复发-缓解型多发性硬化(RRMS)患者功能网络局部DC的变化特点。方法对28例RRMS患者(RRMS组)与28名年龄、性别相匹配的健康志愿者(正常对照组)行静息态fMRI(R-fMRI)扫描及扩展残疾量表(EDSS)、进步式听觉累加测试(PASAT)和修正的疲劳影响尺度(MFIS)评分,在Matlab平台上采用基于体素的DC(阈值为0.25)方法分析R-fMRI数据;采用t检验比较组内、组间参数,对RRMS组差异脑区的DC值分别与临床参数进行相关性检验。结果与正常对照组比较,RRMS组双侧楔前叶、双侧颞下回、双侧内侧前额叶、左侧额上回、小脑前叶DC值明显增高,双侧前扣带回、双侧顶下小叶、双侧楔叶、双侧尾状核DC值显著减低(P<0.05,AlphaSim校正);右侧顶下小叶DC值与PASAT评分呈负相关(r=-0.443,P=0.018),与MFIS评分呈正相关(r=0.557,P=0.002)。结论 RRMS患者存在DC异常改变,且右侧顶下小叶DC值与认知功能下降及易感疲劳相关,表明DC改变是导致临床症状的可能机制。 Objective To analyze functional network local centrality characteristics in patients with relapsing remitting multiple sclerosis (RRMS) by the utility of voxel-based degree centrality (DC). Methods Twenty-eight patients with RRMS (RRMS group) and 28 matched healthy controls (control group) were enrolled. All subjects underwent resting state fMRI (R-fMRI), and were evaluated by expanded disability status scale (EDSS), modified fatigue impact scale (MFIS) and paced auditory serial addition test (PASAT). Data of R-fMRI were measured on Matlab station by using degree cen- trality method (threshold value 0.25), and intraclass and interclass differences were analyzed. Correlation analysis was per- formed for regions with DC value statistically different in RRMS group with clinical parameters. Results Compared with control group, significantly increased DC was found in bilateral precuneus, inferior temporal gyrus, medial prefrontal cor- tex, left superior frontal gyrus and anterior lobe of cerebellum, as well as significantly decreased DC in bilateral anterior cingulated gyrus, inferior parietal lobule, cuneus and caudatum in RRMS group (P〈0.05, AlphaSirn correlation). DC value in right inferior parietal lobule negatively correlated with PASAT (r=-0. 443, P:0. 018) and positively correlated with MFIS (r=0. 557, P:0. 002). Conclusion Differentiation of DC value is found in RRMS, which is correlated with cognitive dysfunction as well as fatigue in right inferior parietal lobule, indicating tha't the changes of DC value might lead to clinical symptoms.
出处 《中国医学影像技术》 CSCD 北大核心 2014年第2期209-213,共5页 Chinese Journal of Medical Imaging Technology
基金 国家自然科学基金(81060116 81101041) 江西省科技支撑计划(20111BBG70028-1 2013BAB215008)
关键词 多发性硬化 度中心度 静息态 磁共振成像 Multiple sclerosis Degree centrality~ Resting-state Magnetic resonance imaging
  • 相关文献

参考文献17

  • 1Buckle GJ. Functional magnetic resonance imaging and multiple sclerosis: The evidence for neuronal plasticity. J Neuroimaging, 2005,15(4 Suppl) :82S-93S.
  • 2Polman CH, Reingold SC, Banwell B, et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol, 2011,69(2) :292-302.
  • 3Kurtzke JF. Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS), Neurology, 1983,33 (11) : 1444-1452.
  • 4Tilbery CP, Mendes MF, Thomaz RB, et al. Multiple sclerosis functional composite measure (MSFC) standardized in the Brazil ian population. Arq Neuropsiquiatr, 2005,63(1):127-132.
  • 5BucknerRL, Sepulcre J, Talukdar T, et al. Cortical hubs re- vealed by intrinsic functional connectivity: Mapping, assessment of stability, and relation to Alzheimer's disease. J Neurosci, 2009,29(6) : 1860-1873.
  • 6Tomasi D, Volkow ND. Functional connectivity density map ping. Proc Natl Acad Sci U S A, 2010, 107(21):9885-9890.
  • 7Tomasi D, Volkow ND. Association between functional connec-tivity hubs and brain networks. Cereb Cortex, 2011,21 (9) : 2003- 2013.
  • 8Hagmann P, Cammoun L, Gigandet X, et al. Mapping the struc- tural core of human cerebral cortex. PLoS Biol, 2008, 6 (7): e159.
  • 9Horovitz SG, Braun AR, Cart WS, et al. Decoupling of the brain's default mode network during deep sleep. Proc Natl Acad Sci U S A, 2009,106(27):11376-11381.
  • 10Andrews-Hanna JR, Reidler JS, Sepulcre J, et al. Functional- anatomic fractionation of the brain's default network. Neuron, 2010,65(4) : 550-562.

同被引文献32

  • 1孙厚亮,张新卿,王姮,于春水,秦文,刘一宁,陈彪,吴卫平,崔丽英,樊东升.多发性硬化患者的认知功能损害[J].中华神经科杂志,2005,38(10):604-608. 被引量:6
  • 2De Stefano N, Giorgio A, Battaglini M, et al. Assessing brain at rophy rates in a large population of untreated multiple sclerosis subtypes. Neurology, 2010,74(23):1868-1876.
  • 3Raz E, Bester M, Sigmund EE, spinal cord damage in multiple et al. A better characterization of sclerosis: A diffusional kurtosisimaging study. AJNR Am J Neuroradiol, 2013, 34 (9) 1846-1852.
  • 4Selchen D, Bhan V, Blevins G, et al. MS, MRI, and the 2010 McDonald criteria: A Canadian expert commentary. Neurology, 2012,79(23 Suppl 2) :S1-15.
  • 5Wingerchuk DM, Lennon VA, Pittock SJ, et al. Revised diag- nostic criteria for neuromyelitis optica. Neurology, 2006,66(10) : 1485-1489.
  • 6Beckmann CF, Deluca M, Devlin JT, et al. Investigations into resting-state connectivity using Independent component analysis. Philos Trans R Soc Lond B Biol Sci, 2005, 360 (1457): 1001-1013.
  • 7Tona F, Petsas N, Sbardella E, etal. Multiple sclerosls: Altered thalamic resting-state functional connectivity and its effect on cog- nitive function. Radiology, 2014,271(3):814-821.
  • 8Stoodley CJ, Schmahmann JD. Functional topography in the hu- man cerebellum: A meta-analysis of neuroimaging studies. Neu roimage, 2009,44(2) :489-501.
  • 9Tomasi D, Volkow ND. Functional connectivity density map- ping. Proc Natl Acad Sci U S A, 2010,107(21):9885-9890.
  • 10Basile B, Castelli M, Monteleone F, et al. Functional connectiv- ity changes within specific networks parallel the clinical evolution of multiple sclerosis. Mult Scler, 2013,20(8) : 1050-1057.

引证文献4

二级引证文献18

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