期刊文献+

抑郁症患者脑结构网络局部属性与疾病严重程度相关研究 被引量:7

A study on the correlation between the local topological properties of the brain structural networks in depression and the severity of the disease
原文传递
导出
摘要 目的 探讨抑郁症患者与正常人脑结构网络节点连接强度、聚类系数和局部效率属性的异同,分析抑郁症患者大脑各区域的局部连接模式和局部信息传递效率改变及其与疾病严重程度的相关性.方法 对24例抑郁症患者、25名正常人进行弥散张量成像扫描(Diffusion Tensor Imaging,DTI),利用解剖学自动标记模板(AAL)将整个大脑划分为90个区域,采用FACT(fiber assignment by continuous tracking)方法进行纤维跟踪,结合基于图论的复杂网络方法构建脑结构网络,并对所得抑郁症患者与正常人脑结构网络的节点局部属性值进行双样本t检验.结果 (1)抑郁症组局部效率属性值(左侧额中回眶部:0.64±0.30、左侧海马:0.57±0.07、右侧海马旁回:0.50±0.15)较对照组(0.88±0.10、0.64±0.06、0.66±0.13,P=0.00098、0.00039、0.00017,通过FDR校正)显著下降;(2)抑郁症组聚类系数属性值(左侧额中回眶部:0.14±0.07)较对照组(0.22±0.06,P=0.000030,通过FDR校正)显著下降;(3)抑郁症组左侧额中回眶部局部效率属性值与HAMD-17总分呈显著负相关(r=-0.48,P=0.02).结论 抑郁症患者大脑额叶相关脑区连接的集团化程度及局部信息传递效率均发生下降,海马结构的局部信息传递效率也发生下降;其中,额叶相关脑区的局部信息传递效率下降导致疾病严重程度增加. Objective To explore the differences of the connectivity strength,the clustering coefficient and the local efficiency of the nodes in the brain structural networks in the depression and healthy subjects and then analyze the mode of the local connections of the brain regions and their local efficiency of the transmission of information and their relationship with the severity of the disease in the depression.Methods The Diffusion Tensor Imaging data were obtained from 24 depression patients and 25 healthy controls.The whole cerebral cortex was parcellated into 90 regions by the anatomical label map.Tractography was performed in the whole cerebral cortex of each subject to reconstruct white matter tracts of the brain using the fiber assignment by continuous tracking (FACT) algorithm.And then the brain structural networks were constructed using the complex network theory.The local topological properties of the brain structural networks of the depression and healthy were examined by two sample t-test.Results The local efficiency of the nodes of the networks in depression decreased significantly (the left middle frontal gyrus (orbital part):0.64±0.30,the left hippocampus:0.57±0.07,the right parahippocampal gyrus:0.50±0.15) compared with the healthy (0.88±0.10,0.64±0.06,0.66±0.13 respectively,P=0.00098,0.00039,0.00017,survived critical FDR threshold for multiple comparisons) ; and the clustering coefficient of the nodes of the networks in depression (the left middle frontal gyrus (orbital part):0.14±0.07) decreased significantly when compared with the healthy (0.22±0.06,P=0.000030,survived critical FDR threshold for multiple comparisons).Significant negative correlation was found between the local efficiency of the left middle frontal gyrus (orbital part) and the total scores of HAMD-17 in the depression (r=-0.48,P=0.02).Conclusion The degree of the localization and the local efficiency of the information transmission of the frontal lobe are decreased.The local efficiency in the information transmission in the hippocampal is also decreased.And the local efficiency of the frontal lobe is negatively related with the severity of the disease in the depression.
出处 《中华行为医学与脑科学杂志》 CAS CSCD 北大核心 2014年第10期881-884,共4页 Chinese Journal of Behavioral Medicine and Brain Science
基金 国家自然科学基金项目(81371522,61372032),江苏省医学专项(BL2012052),江苏省自然科学基金项目(BK2012740,BK20131074),国家I临床重点专科建设项目(精神科,卫生部医政司2011-873),江苏省医学重点学科(精神病学,江苏省卫生厅2011-12)
关键词 抑郁症 弥散张量成像 脑结构网络 局部属性 Depression Diffusion Tensor Imaging Brain structural network Local topological properties
  • 相关文献

参考文献20

  • 1Bullmore E,Sporns O.Complex brain networks:graph theoretical analysis of structural and functional systems[J].Nat Rev Neurosci,2009,10(3):186-198.
  • 2黄清玲,刘宏毅,丁尚文,钱志余,雷霆,曹轩.额叶低级别胶质瘤患者认知功能与手术前后小世界网络特性的fMRI研究[J].中华行为医学与脑科学杂志,2013,22(2):124-126. 被引量:7
  • 3van den Heuvel MP,Stam C J,Boersma M,et al.Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain[J].Neuroimage,2008,43(3):528-539.
  • 4Achard S,Salvador R,Whitcher B,et al.A resilient,low-frequency,small-world human brain functional network with highly connected association cortical hubs[J].J Neurosci,2006,26(1):63-72.
  • 5He Y,Chen Z J,Evans AC.Small-world anatomical networks in the human brain revealed by cortical thickness from MRI[J].Cereb Cortex,2007,17(10):2407-2419.
  • 6Lorenzetti V,Allen NB,Fornito A,et al.Structural brain abnormalities in major depressive disorder:a selective review of recent MRI studies[J].J Affect Disord,2009,117(1):1-17.
  • 7Koolschijn PC,van Haren NE,Lensvelt-Mulders GJ,et al.Brain volume abnormalities in major depressive disorder:A meta-analysis of magnetic resonance imaging studies[J].Hum Brain Mapp,2009,30(11):3719-3735.
  • 8Rubinov M,Spoms O.Complex network measures of brain connectivity:uses and interpretations[J].Neuroimage,2010,52(3):1059-1069.
  • 9Catani M,Dell' Acqua F,Vergani F,et al.Short frontal lobe connections of the human brain[J].Cortex,2012,48(2):273-291.
  • 10Wang L,LaBar KS,Smoski M,et al.Prefrontal mechanisms for executive control over emotional distraction are altered in major depression[J].Psychiatry Res,2008,163(2):143-155.

二级参考文献42

  • 1Gray JA, McNaughton N. Comparison between the behavioural effects of septal and hippocampal lesions: a review [ J ]. Neurosci Biobehav Rev, 1983,7 : 119-188.
  • 2Colla M, Kronenberg G, Deuschle M, et al. Hippocampal volume reduction and HPA - system activity in major depression [ J ]. J Psychiatr Res,2007,41:553-560.
  • 3MacQueen GM, Campbell S, McEwen BS, et al. Course of illness, hippocampal function, and hippocampal volume in major depression [ J]. Proc Natl Acad Sci USA,2003,100 : 1387-1392.
  • 4Rosene DL, Van Hoesen GW. The hippocampal formation of the primate brain :a review of some comparative aspects of cytoarchitecture and connections[ J]. Cerebral Cortex, 1987:345456.
  • 5Fox MD,Snyder AZ,Vincent JL,et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks [ J]. Proc Natl Acad Sci USA,2005,102:9673-9678.
  • 6Cabeza R,Prince SE,Daselaar SM,et al. Brain activity during episodic retrieval of autobiographical and laboratory events: an fMRI study using a novel photo paradigm[J].J Cogn Neurosci ,2004,16 : 1583-1594.
  • 7Austin MP, Mitchell P, Goodwin GM. Cognitive deficits in depression : possible implications for functional neuropathology [ J ]. Br J Psychiatry,2001,178:200-206.
  • 8Rogers MA, Kasai K, Koji M, et al. Executive and prefrontal dysfunction in unipolar depression:a review of neuropsychological and imaging evidence [ J ]. Neurosci Res,2004,50 : 1-11.
  • 9Frodl T, Schaub A, Banac S, et al. Reduced hippocampal volume correlates with executive dysfunctioning in major depression [ J ]. J Psychiatry Neurosci ,2006,31:316-323.
  • 10Raichle ME, MacLeod AM, Snyder AZ, et al. A default mode of brain function[J]. Pro0c Natl Acad Sci USA,2001,98:676-682.

共引文献58

同被引文献117

  • 1各类脑血管疾病诊断要点[J].中华神经科杂志,1996,29(6):379-380. 被引量:33008
  • 2Andreasen NC, Nopoulos P, Magnotta V, et al. Progressive brain change in schizophrenia:a prospective longitudinal study of first-epi- sode schizophrenia [ J ]. Biol Psychiatry ,2011,70 (7) : 672-679.
  • 3Barch DM, Ceaser A. Cognition in schizophrenia:core psychological and neural mechanisms[J]. Trends Cogn Sci,2012,16( 1 ) :27-34.
  • 4Fitzsimmons J, Kubicki M, Shenton ME. Review of functional and ana- tomical brain connectivity findings in schizophrenia [ J ]. CmT Opin Psychiatry,2013,26(2) : 172-187.
  • 5Camchong J, MacDonald AW, Bell C, et al. Altered functional and an- atomical connectivity in schizophrenia [ J ]. Schizophr Bull, 2011,37 ( 3 ) :640-650.
  • 6Wang Q, Su TP, Zhou Y, et al. Anatomical insights into disrupted small-world networks in schizophrenia [ J ]. Neuroimage, 2012, 59 (2) : 1085-1093.
  • 7Zhang Y, Lin L, Lin CP, et al. Abnormal topological organization of structural brain networks in schizophrenia[ J ]. Schizophr Res, 2012, 141(2) :109-118.
  • 8Lynall ME, Bassett DS, Kerwin R, et al. Functional connectivity and brain networks in schizophrenia [ J ]. J Neurosci, 2010, 30 ( 28 ) : 9477-9487.
  • 9Kay SR, Flszbein A, Opfer LA. The positive and negative syndrome scale (PANSS) for schizophrenia [ J ]. Schizophr Bull, 1987,13 (2) : 261-276.
  • 10Rubinov M ,Sporns O. Complex network measures of brain connectivi- ty : uses and interpretations [ J ]. Neuroimage, 2010, 52 ( 3 ) : 1059- 1069.

引证文献7

二级引证文献50

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