设为首页 | 加入收藏
网站首页 本刊简介 编委会 投稿指南 过刊浏览 广告合作 网上订购 下载专区 联系我们  
重性抑郁症负性信息注意偏向的神经影像学研究进展
作者:武成莉  龚慧  蒲唯丹 
单位:1. 西安电子科技大学心理健康教育中心  西安 710076  2. 西安电子科技大学马克思主义学院  西安 710076  3. 中南大学湘雅二医院医学心理中心  长沙 410011 
关键词:重性抑郁症 注意偏向 神经影像学 
分类号:R395.1
出版年,卷(期):页码:2018,26(2):234-238
摘要:

重性抑郁障碍(Major Depressive Disorder,MDD)是一种极易复发的严重精神疾病,但MDD易复发的病因学及神经病理学机制至今依然是一个谜。负性情绪信息注意偏向被认为与抑郁的发生、发展与维持有着紧密联系,近期研究证明其无法被药物治疗完全治愈,并始终保持在MDD缓解期,提示其可能是MDD复发的重要影响因素。然而,注意偏向及其神经病理机制如何影响MDD复发仍处于国内外研究的起步阶段。本文对近期的MDD负性信息注意偏向的神经影像学研究进展进行回顾,以期能为理解负性信息注意偏向影响MDD复发的神经病理学机制提供线索与启示。

Major depressive disorder(MDD) is a severe mental disorder with extremely high recurrence, however, the eti-ology and neurophysiopathological mechanism of the MDD recurrence still remains as an enigma. Attentional biases to-wards negative information(ABNI) have been demonstrated as closely related to the occurrence, development and mainte-nance of depression. Early researches mainly focus on the role of ABNI in the development of MDD, recent evidence has shown that the ABNI cannot be attenuated by the anti-depressive drugs and maintains in the remitted MDD patients, sug-gesting the ABNI is involved in the recurrence of MDD. However, it is unclear how the ABNI and its related neuropathologi-cal abnormalities contribute to the MDD recurrence. This study will review the published neuroimaging studies which focus on the ABNI in patients with MDD, hoping to help for understanding the neuropathological mechanism of ABNI involved in the recurrence of MDD.

基金项目:
本研究受中央高校基本科研业务基金项目(20101164755),国家自然科学基金项目(81401125)资助
作者简介:
参考文献:

1 Kessler RC, Berglund P, Demler O, et al. The epidemiology of major depressive disorder:results from the National Comorbidity Survey Replication(NCS-R). JAMA, 2003, 289(23):3095-3105
2 Mathers C, Fat DM, Boerma J. The global burden of disease:
2004 update:World Health Organization, 2008
3 Boland RJ, Keller MB, Gotlib I, Hammen C. Course and outcome of depression. Handbook of Depression, 2002. 43-60
4 Keller MB, Lavori PW, Mueller TI, et al. Time to recovery, chronicity, and levels of psychopathology in major depression. A 5-year prospective follow-up of 431 subjects. Arch Gen Psychiatry, 1992, 49(10):809-816
5 Holzel L, Harter M, Reese C, Kriston L. Risk factors for chronic depression——a systematic review. J Affect Disord, 2011, 129(1-3):1-13
6 Beck A. Cognitive therapy and the emotional disorders, 1976. American book, New-York, 1976
7 Clasen PC, Wells TT, Ellis AJ, Beevers CG. Attentional biases and the persistence of sad mood in major depressive disorder. J Abnorm Psychol, 2013, 122(1):74-85
8 Fritzsche A, Dahme B, Gotlib I, et al. Specificity of cognitive biases in patients with current depression and remitted depression and in patients with asthma. Psychol Med, 2010, 40 (5):815-826
9 Joormann J, Gotlib IH. Selective attention to emotional faces following recovery from depression. J Abnorm Psychol, 2007, 116(1):80-85
10 Beevers CG, Ellis AJ, Wells TT, McGeary JE. Serotonin transporter gene promoter region polymorphism and selective processing of emotional images. Biol Psychol, 2010, 83 (3):260-265
11 Gibb BE, Benas JS, Grassia M, McGeary J. Children's attentional biases and 5-HTTLPR genotype:potential mechanisms linking mother and child depression. J Clin Child Adolesc Psychol, 2009, 38(3):415-426
12 Browning M, Holmes EA, Harmer CJ. The modification of attentional bias to emotional information:A review of the techniques, mechanisms, and relevance to emotional disorders. Cogn Affect Behav Neurosci, 2010, 10(1):8-20
13 Baars BJ, Gage NM. Cognition, brain, and consciousness:Introduction to cognitive neuroscience:Academic Press, 2010
14 Phillips ML, Ladouceur CD, Drevets WC. A neural model of voluntary and automatic emotion regulation:implications for understanding the pathophysiology and neurodevelopment of bipolar disorder. Mol Psychiatry, 2008, 13(9):829, 833-857
15 Critchley HD, Wiens S, Rotshtein P, et al. Neural systems supporting interoceptive awareness. Nat Neurosci, 2004, 7 (2):189-195
16 Hamilton JP, Etkin A, Furman DJ, et al. Functional neuroimaging of major depressive disorder:a meta-analysis and new integration of baseline activation and neural response data. Am J Psychiatry, 2012, 169(7):693-703
17 Vuilleumier P. How brains beware:neural mechanisms of emotional attention. Trends Cogn Sci, 2005, 9(12):585-594
18 Disner SG, Beevers CG, Haigh EA, Beck AT. Neural mechanisms of the cognitive model of depression. Nat Rev Neurosci, 2011, 12(8):467-477
19 Kupfer DJ, Frank E, Phillips ML. Major depressive disorder:new clinical, neurobiological, and treatment perspectives. Lancet, 2012, 379(9820):1045-1055
20 Almeida JR, Versace A, Mechelli A, et al. Abnormal amygdala-prefrontal effective connectivity to happy faces differentiates bipolar from major depression. Biol Psychiatry, 2009, 66(5):451-459
21 Perlman G, Simmons AN, Wu J, et al. Amygdala response and functional connectivity during emotion regulation:a study of 14 depressed adolescents. J Affect Disord, 2012, 139(1):75-84
22 Siegle GJ, Thompson W, Carter CS, et al. Increased amygdala and decreased dorsolateral prefrontal BOLD responses in unipolar depression:related and independent features. Biol Psychiatry, 2007, 61(2):198-209
23 Strigo IA, Matthews SC, Simmons AN. Decreased frontal regulation during pain anticipation in unmedicated subjects with major depressive disorder. Transl Psychiatry, 2013, 3:e239
24 Menon V. Large-scale brain networks and psychopathology:a unifying triple network model. Trends Cogn Sci, 2011, 15 (10):483-506
25 Seeley WW, Menon V, Schatzberg AF, et al. Dissociable intrinsic connectivity networks for salience processing and executive control. J Neurosci, 2007, 27(9):2349-2356
26 Harrison BJ, Pujol J, Ortiz H, et al. Modulation of brain resting-state networks by sad mood induction. PLoS One, 2008, 3(3):e1794
27 Das P, Kemp AH, Liddell BJ, et al. Pathways for fear perception:modulation of amygdala activity by thalamo-cortical systems. Neuroimage, 2005, 26(1):141-148
28 Wang GJ, Volkow ND, Fowler JS, et al. Comparison of two pet radioligands for imaging extrastriatal dopamine transporters in human brain. Life Sci, 1995, 57(14):PL187-191
29 Prata DP, Mechelli A, Picchioni MM, et al. Altered effect of dopamine transporter 3'UTR VNTR genotype on prefrontal and striatal function in schizophrenia. Archives of General Psychiatry, 2009, 66(11):1162
30 Delaveau P, Jabourian M, Lemogne C, et al. Brain effects of antidepressants in major depression:a meta-analysis of emotional processing studies. J Affect Disord, 2011, 130(1):66-74
31 Thomas E, Elliott R, McKie S, et al. Interaction between a history of depression and rumination on neural response to emotional faces. Psychol Med, 2011, 41(9):1845-1855
32 Anand A, Li Y, Wang Y, et al. Antidepressant effect on connectivity of the mood-regulating circuit:an FMRI study. Neuropsychopharmacology, 2005, 30(7):1334-1344
33 Hamilton JP, Chen G, Thomason ME, et al. Investigating neural primacy in Major Depressive Disorder:multivariate Granger causality analysis of resting-state fMRI time-series data. Mol Psychiatry, 2011, 16(7):763-772
34 Tahmasian M, Knight DC, Manoliu A, et al. Aberrant intrinsic connectivity of hippocampus and amygdala overlap in the fronto-insular and dorsomedial-prefrontal cortex in major depressive disorder. Front Hum Neurosci, 2013. 7
35 Manoliu A, Riedl V, Doll A, et al. Insular dysfunction reflects altered between-network connectivity and severity of negative symptoms in schizophrenia during psychotic remission. Front Hum Neurosci, 2013. 7

服务与反馈:
文章下载】【加入收藏
您是第访问者

《中国临床心理学杂志》编辑部
地址:湖南省长沙市中南大学湘雅二医院内, 410011
电 话:0731-85292472    电子邮件:cjcp_china@163.com
本系统由北京博思汇文数字科技有限公司设计开发 技术服务电话:400-921-9838