Share：
Share this content in WeChat
X
[Chinese][PDF]84191
• Review •
Research progress of resting-state fMRI on drug addition
XIE Lei  MA Ye  MA Shu-hua  XU Ke  HU Zhi-guo 

DOI:10.12015/issn.1674-8034.2016.03.013.


[Abstract] Drug addiction is a chronic and recurrent brain disease, which has become a serious threat to the health of people's physical and mental health.Its related brain mechanism has not been fully elucidated. Resting state functional magnetic resonance imaging (rs-fMRI) is a kind of new neuroimaging technologies and developing rapidly, it has diversity analysis methods, and also has an unique advantage in the study of brain function integration of neural network, it has been wildly used to study the neural mechanism of drug addiction. This article aims to make an overview of the research and application of rs-fMRI and its diversity analysis methods in drug addiction.
[Keywords] Brain；Magnetic resonance imaging；Drug addition；Neuromechanism；Default network

XIE Lei Department of Radiology, the First Affiliated Hospital of Shantou University Medical School, Shantou 515041, China; Guangdong Key Laboratory of Medical Molecular Imaging, Shantou 515041, China

MA Ye Graduate School of Beijing Normal University, Zhuhai 519087, China

MA Shu-hua* Department of Radiology, the First Affiliated Hospital of Shantou University Medical School, Shantou 515041, China; Guangdong Key Laboratory of Medical Molecular Imaging, Shantou 515041, China

XU Ke Department of Radiology, the First Affiliated Hospital of China Medical University, Shenyang 110001, China

HU Zhi-guo Cognitive and Brain Disease Research Center of Hangzhou Normal University, Hangzhou 311121, China

*Correspondence to: Ma SH, E-mail: shuhua6633@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  The National Natural Science Fund No. 81072905 The National Natural Science Fund No. 81373745 Natural Science Foundation of Guangdong Province No. 06301077 Science and technology project of Guangdong Province No. 2009B030801323 Science and technology project of Guangdong Province No. 2010B031600023
Received  2015-12-12
Accepted  2016-01-10
DOI: 10.12015/issn.1674-8034.2016.03.013
DOI:10.12015/issn.1674-8034.2016.03.013.

[1]
周平艳, 刘丹玮, 周仁来, 等. 药物成瘾对决策行为的损伤及戒断后的恢复. 中国临床心理学杂志, 2014, 22(6): 951-956, 963.
[2]
Koob GF, Volkow ND. Neurocircuitry of addiction. Neuropsychopharmacology, 2010, 35(1): 217-238.
[3]
Blanken P, Hendriks VM, Koeter MW, et al. Craving and illicit heroin use among patients in heroin-assisted treatment. Drug Alcohol Depend, 2012, 120(1-3): 74-80.
[4]
Xu HY, Li SJ, Bodurka J, et al. Heroin-induced neuronal activation in rat brain assessed by functional MRI. Neuron Report, 2000, 11: 1085-1092.
[5]
Lee TM, Zhou WH, Luo XJ, et al. Neural activity associated with cognitive regulation in heroin users: a fMRI study. Neurosci Lett, 2005, 382(3): 211-216.
[6]
Xiao Z, Lee T, Zhang J X, et al. Thirsty heroin addicts show different fMRI activations when exposed to water-related and drug-related cues. Drug Alcohol Depend, 2006, 83 (2): 157-162.
[7]
邓小湘, 蒋雯, 王君, 等. 利用静息态功能磁共振成像研究缺血性脑卒中患者康复治疗后运动功能网络连接的变化. 磁共振成像, 2010, 1(1): 11-14.
[8]
谢生辉, 牛广明, 韩晓东, 等. 抑郁症磁共振脑功能应用研究进展. 国际医学放射学杂志, 2013, 36(6): 520-524.
[9]
王波, 戴敏方. 帕金森病的MRI研究进展. 磁共振成像, 2013, 4(6): 459-462.
[10]
谢生辉, 牛广明, 高阳, 等. 首发抑郁症脑局部一致性静息态MRI对比研究. 磁共振成像, 2015, 6(1): 10-14.
[11]
Mazoyer B，Zago L，Mellet E，et al. Cortical network for working memory and executive function sustain the conscious resting state in man. Brain Res Bull, 2001, 54(3): 287-298.
[12]
Raichle ME, Mintun MA. Brain work and brain imaging. Annu Rev Neurosci, 2006, 29: 449-476.
[13]
Biswal B, Yetkin FZ, Haughton VM, et al. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Res Med, 1995, 34: 537-541.
[14]
Raichle ME, Macleod AM, Snyder AZ, et al. A default-mode of brain function. Proc Natl Acad Sci U S A, 2001, 98(2): 676-682.
[15]
Gusnard DA, Raichle ME. Searching for a baseline：functional imaging and the resting human brain. Nat Rev Neuro Sci, 2001, 2(10): 685-694.
[16]
Mckeown MJ, Makeig S, Brown GG, et al. Analysis of fMRI data by blind separation intoindependent spatial components. Hum Brain Mapp, 1998, 6(3): 160-188.
[17]
McKeown MJ, Sejnowski TJ. Independent component analysis of fMRI data: examing the assumptions. Hum Brain Mapp, 1998, 6(5-6): 368-372.
[18]
Arfanaksi K, Cordes D, Haughton VM, et al. Combining independent component analysis and orrelation analysis to probe interregional connectivity in fMRtask activation datasets. Mgan Reson Imaging, 2000, 18(8): 921-930.
[19]
Zang YF, Jiang TZ, Lu YL, et a1. Regional homogeneity approach to fMRI data analysis. Neuroimage, 2004, 22(1): 394-400.
[20]
Zang YF, He Y, Zhu CZ, et al. Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain Develop, 2007, 29(2): 83-91.
[21]
Hampson M, Tokoglu F, Sun Z, et al. Connectivity-behavior analysis reveals that functional connectivity between left BA39 and Broca's area varies with reading ability. Neuroimage, 2006, 31(2): 513-519.
[22]
Biswal B, Yetkin FZ, Haughton VM, et al. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med, 1995, 34 (4): 537-541.
[23]
Zhou Y, Shu N, Liu Y, et al. Altered resting-state functional connectivity and anatomical connectivity of hippocampus in schizophrenia. Schizophr Res, 2008, 100 (1-3): 120-132.
[24]
Ma N, Liu Y, Li N, et al. Addiction related alteration in resting-state brain connectivity. Neuroimage, 2010, 49(1): 738-744.
[25]
Liu J, Liang J, Qin W, et al. Dysfunctional connectivity patterns in chronic heroin users: an fMRI study. Neurosci Lett, 2009, 460(1): 72-77.
[26]
Yuan K, Qin W, Dong M, et al. Combining spatial and temporal information to explore resting-state networks changes in abstinent heroin-dependent individuals. Neurosci Lett, 2010, 475(1): 20-24.
[27]
Yuan K, Qin W, Dong M, et al. Gray matter deficits and resting-state abnormalities in abstinent heroin-dependent individuals. Neurosci Lett, 2010, 482(2): 101-105.
[28]
Gu H, Salmeron BJ, Ross TJ, et al. Mesocorticolimbic circuits are impaired in chronic cocaine users as demonstrated by resting-state functional connectivity. Neuroimage, 2010, 53 (2): 593-601.
[29]
Kelly C, de Zubicaray G, Di Martino A, et al. L-dopa modulates functional connectivity in striatal cognitive and motor networks: a double-blind placebo-controlled study. J Neurosci, 2009, 29(22): 7364-7378.
[30]
梅维，肖壮伟．海洛因成瘾者脑功能连接异常的功能磁共振研究. 汕头大学, 2011.
[31]
Ma N, Liu Y, Fu XM, et al. Abnormal brain default-mode network functional connectivity in drug addicts. PLoS One, 2011, 6 (1): e16560.
[32]
郑夏林, 钱若兵, 袁季, 林彬, 亢志强, 季学兵, 牛朝诗, 傅先明.基于独立成分分析法的海洛因成瘾者背侧注意网络的fMRI研究. 中华神经医学杂志, 2014, 13(10): 1024-1029.
[33]
廖艳辉, 唐劲松, 王绪轶, 等. 氯胺酮依赖者脑功能活动的局部一致性改变:静息态功能磁共振成像研究. 中国药物依赖性杂志, 2010, 19(5): 343-348.
[34]
Hong LE, Gu H, Yang Y, et al. Association of nicotine addiction and nicotine’s actions with separate cingulate cortex functional circuits. ArchGen Psychiatry, 2009, 66(4): 431-441.

PREV The research status of magnetic resonance imaging in Parkinson’s disease patients with depression
NEXT Advances in the diagnostic values of DCE-MRI and DWI for breast cancer
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn