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抑郁症功能磁共振成像脑网络研究进展 被引量:14

Progress in the study of functional magnetic resonance imaging(fMRI) brain networks in the depression
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摘要 近年来,功能磁共振成像技术的发展使得研究者可以无创地研究活体脑组织结构和功能特点,结合多种脑成像技术研究大尺度的脑结构和功能网络,为研究某些疾病的发生和发展机制提供了可靠的方法。目前抑郁症患者的磁共振脑网络研究还处在初步探索阶段,脑网络的拓扑属性在某种程度上对抑郁症患者的早期诊断和鉴别诊断起到一定的辅助作用,同时也可以作为一个衡量抑郁症严重程度的生理指标。脑结构和功能的异常模式也可作为敏感特征用于诊断相关脑疾病,因此本文将从抑郁症层面综述几个主要的磁共振脑网络的结构和功能方面的研究成果。 In recent years,the development of functional magnetic resonance imaging technology has enabled researchers to study the structure and function of living brain tissue without invasive research,and the study of large scale brain structure and function network is necessary to study the occurrence and development mechanism of certain diseases.Currently,the study of brain network in patients with depression is still in the preliminary stage of exploration,the topological properties of brain network play an auxiliary role in early diagnosis and differential diagnosis of depressed patients,it can also be used as a measure of the severity of depression.Abnormal patterns of brain structure and function can also be used as sensitive features to diagnose related brain diseases,therefore,this paper will review the research results of brain structure and function of depressed patients from the perspective of brain network.
作者 张琪 王滨 ZHANG Qi;WANG Bin(Department of Medical Imaging,Clinical College of Binzhou Medical College,Department of Imaging of Yantai Affiliated Hospital,Yantai 264003,China)
出处 《磁共振成像》 CAS CSCD 2018年第4期289-293,共5页 Chinese Journal of Magnetic Resonance Imaging
基金 国家自然科学基金项目(编号:81641074) 山东省自然科学基金(编号:ZR2016HL40) 山东省科技成果重点推广计划(编号:2017GSF18121)~~
关键词 抑郁症 脑网络 磁共振成像 功能性 Depression Brain network Magnetic resonance imaging,functional
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  • 1赵庆柏,曹宸,薛绍伟,唐一源.抑郁症对大脑默认网络的影响[J].生物物理学报,2009,0(S1):266-267. 被引量:2
  • 2OWNBY R L, CROCCO E, ACEVEDO A, et al. Depression and risk for Alzheimer disease: systematic review, meta - analysis, and meta regression analysis[ J]. Arch Gen Psychiatry, 2006, 63 (5) : 530 -538.
  • 3GRIEVE S M, KORGAONKAR M S, KOSLOW S H, et al. Widespread reductions in gray matter volume in depression [ J ]. Neuroimage Clin, 2013, 3:332 -339.
  • 4LIANG M J, ZHOU Q, YANG K R, et al. Identify changes of brain regional homogeneity in bipolar disorder and unipolar depres- sion using resting - state FMRI [ J ]. PLoS One, 2013, 8 ( 12 ) : e79999.
  • 5DAVIDAM R J, IRWIN W, ANDERLE M J, et al. The neural substractes of affective processing in depressed patients treated with venlafaxine[ J ]. Am J Paychiatry, 2003, 160 ( 1 ) : 64 - 75.
  • 6BORA E, FORNITO A, PANTELIS C, et al. Gray matter abnor- malities in Major Depressive Disorder: a meta - analysis of voxel based morphometry studies[ J]. J Affect Disord, 2012, 138 ( 1/ 2) : 9 -18.
  • 7Dutta A, McKie S, Deakin JF. Resting state networks in ma- jor depressive disorder. Psychiatry Research, 2014, 224(3): 139-151.
  • 8Broyd SJ, Demanuele C, Debener S, et al. Defauh-mode brain dysfunction in mental disorders: a systematic review. Neuroscience and Biobehavioral Reviews, 2009, 33(3): 279- 296.
  • 9Zeng LL, Shen H, Liu L, et al. Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis. Brain, 2012, 135(5): 1498-1507.
  • 10Liu CH, Ma X, Song LP, et al. Alteration of spontaneous ne- uronal activity within the salience network in partially remit- ted depression. Brain Research, 2015, 1599:93-102.

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