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Clinical Article
Characteristics of function of left executive control network in heroin addicts during methadone maintenance treatment: a resting-state fMRI study
JIN Long  ZHANG Wei  HUANG Yufang  WANG Lei  WEI Yixin  LI Yongbin  LIU Wei  LI Qiang  WANG Wei  WEI Longxiao 

Cite this article as: Jin L, Zhang W, Huang YF, et al. Characteristics of function of left executive control network in heroin addicts during methadone maintenance treatment: a resting-state fMRI study. Chin J Magn Reson Imaging, 2020, 11(3): 166-170. DOI:10.12015/issn.1674-8034.2020.03.002.


[Abstract] Objective: To investigate the characteristics of functional connectivity of left executive control network in heroin addicts during methadone maintenance treatment (MMT).Materials and Methods: Twenty-one heroin addicts during MMT (MMT group) and 20 healthy control subjects matched with age, sex and education level (HC group) were included in the resting-state functional magnetic resonance imaging (fMRI) study using 3.0 T magnetic resonance equipment. First of all, the functional connectivity of the whole brain were calculated based on the region of interest of the left executive control network, and the differences in functional connectivity of the left executive control network between the MMT group and HC group were analyzed. The correlation between the functional connectivity value of the different area and the history of heroin use and methadone treatment was further analyzed in MMT group.Results: The functional connectivity of the left executive control network of heroin addicts in MMT was stronger than that of the healthy subjects. The functional connectivity between the left dorsolateral prefrontal cortex and bilateral dorsolateral prefrontal cortex was enhanced (P< 0.05, corrected with GRF), and the functional connectivity between the left posterior parietal cortex and the left postcentral gyrus was enhanced. (P<0.05, corrected with GRF). The functional connectivity strength in the above areas was not correlated with the history of heroin use and methadone treatment in MMT group (P>0.05 respectively).Conclusions: The enhanced functional connectivity between the left lateral dorsal prefrontal cortex and bilateral dorsal lateral prefrontal cortex of heroin addicts during MMT may suggest that methadone can help improve the brain's executive control function and reduce the risk of relapse in heroin addicts. The enhanced functional connectivity between the left posterior parietal cortex and the postcentral gyrus might be a sign of abnormal adaptation to drug related cues due to long-term use of heroin.
[Keywords] heroin dependence;methadone maintenance treatment;executive control network;magnetic resonance imaging;functional connectivity

JIN Long Nuclear Medicine Department of Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, China

ZHANG Wei Nuclear Medicine Department of Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, China

HUANG Yufang Radiology Department of The First Naval Hospital of Southern Theater Command, Zhanjiang 524009, China

WANG Lei Nuclear Medicine Department of Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, China

WEI Yixin Nuclear Medicine Department of Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, China

LI Yongbin Radiology Department of The Second Affliated Hospital of Xi'an Medical College, Xi'an, 710038, China

LIU Wei Radiology Department of Tangdu Hospital, Air Force Military Medical University, Xi'an 710038, China

LI Qiang Radiology Department of Tangdu Hospital, Air Force Military Medical University, Xi'an 710038, China

WANG Wei Nuclear Medicine Department of Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, China

WEI Longxiao* Nuclear Medicine Department of Tangdu Hospital, Air Force Military Medical University, Xi'an, 710038, China

*Correspondence to: Wei LX, E-mail: weilx3245@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of National Natural Science Foundation of China No. 81671661
Received  2019-12-10
Accepted  2020-02-12
DOI: 10.12015/issn.1674-8034.2020.03.002
Cite this article as: Jin L, Zhang W, Huang YF, et al. Characteristics of function of left executive control network in heroin addicts during methadone maintenance treatment: a resting-state fMRI study. Chin J Magn Reson Imaging, 2020, 11(3): 166-170. DOI:10.12015/issn.1674-8034.2020.03.002.

[1]
Volkow ND, Wang G, Fowler JS, et al. Addiction: Beyond dopamine reward circuitry. Proc Natl Acad Sci U S A, 2011, 108(37): 15037-15042.
[2]
George O, Koob GF. Individual differences in prefrontal cortex function and the transition from drug use to drug dependence. Neurosci Biobehav Rev, 2010, 35(2): 232-247.
[3]
Li Q, Liu J, Wang W, et al. Disrupted coupling of large-scale networks is associated with relapse behaviour in heroin-dependent men. J Psychiatry Neurosci, 2018, 43(1): 48-57.
[4]
Ekhtiari H, Tavakoli H, Addolorato G, et al. Transcranial electrical and magnetic stimulation (tES and TMS) for addiction medicine: A consensus paper on the present state of the science and the road ahead. Neurosci Biobehav Rev, 2019, 104: 118-140.
[5]
Fareed A, Vayalapalli S, Stout S, et al. Effect of methadone maintenance treatment on heroin craving, a literature review. J Addict Dis, 2010, 30(1): 27-38.
[6]
卡米力江•艾尔肯,艾力克木•亚合甫,古丽博斯坦,等.美沙酮维持治疗150例海洛因依赖者对海洛因渴求度的变化及影响因素分析.中国药物依赖性杂志, 2013, 22(2): 122-127.
[7]
Yang L, Xu Q, Li S, et al. The effects of methadone maintenance treatment on heroin addicts with response inhibition function impairments: Evidence from event-related potentials. J Food Drug Analy, 2015, 23(2): 260-266.
[8]
Kriegler J, Wegener S, Richter F, et al. Decision making of individuals with heroin addiction receiving opioid maintenance treatment compared to early abstinent users. Drug Alcohol Depend, 2019, 205: 107593.
[9]
Biswal BB, Van Kylen J, Hyde JS. Simultaneous assessment of flow and BOLD signals in resting-state functional connectivity maps. NMR in Biomed, 1997, 10(4-5): 165-170.
[10]
Lu H, Jaime S, Yang Y. Origins of the Resting-State Functional MRI Signal: Potential Limitations of the "Neurocentric" Model. Front Neurosci, 2019, 13: 1136.
[11]
Li Q, Li Z, Li W, et al. Disrupted default mode network and basal craving in male heroin-dependent individuals: a resting-state fMRI study. J Clin Psychiatry, 2016, 77(10): e1211-e1217.
[12]
Kuo L, Lin P, Lin S, et al. Functional correlates of resting-state connectivity in the default mode network of heroin users on methadone treatment and medication-free therapeutic community program. Front Psychiatry, 2019, 10: 381.
[13]
Yan C, Wang X, Zuo X, et al. DPABI: data processing & analysis for (resting-state) brain imaging. Neuroinformatics, 2016, 14(3): 339-351.
[14]
Garavan H. Dissociable executive functions in the dynamic control of behavior: inhibition, error detection, and correction. Neuroimage, 2002, 17(4): 1820-1829.
[15]
Goldstein RZ, Volkow ND. Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications. Nat Rev Neurosci, 2011, 12(11): 652-669.
[16]
Shi J, Zhao L, Epstein DH, et al. Long-term methadone maintenance reduces protracted symptoms of heroin abstinence and cue-induced craving in Chinese heroin abusers. Pharmacol Biochem Behav, 2007, 87(1): 141-145.
[17]
Esterman M, Chiu Y, Tamber-Rosenau BJ, et al. Decoding cognitive control in human parietal cortex. Proc Natl Acad Sci U S A, 2009, 106(42): 17974-17979.
[18]
Kühn S, Gallinat J. Common biology of craving across legal and illegal drugs: a quantitative meta-analysis of cue-reactivity brain response. Eur J Neurosci, 2011, 33(7): 1318-1326.
[19]
Tian J, Wang W, Liu J, et al. Craving correlates with mesolimbic responses to heroin-related cues in short-term abstinence from heroin: an event-related fMRI study. Brain Res, 2012, 1469: 63-72.
[20]
Macaluso E, Frith C, Driver J. Selective spatial attention in vision and touch: unimodal and multimodal mechanisms revealed by PET. J Neurophysiolo, 2000, 83(5): 3062-3075.
[21]
Li Y, Cui Z, Liao Q, et al. Support vector machine: based multivariate pattern classification of methamphetamine dependence using arterial spin labeling. Addict Biol, 2018, 24(6): 1254-1262.
[22]
时宏,陈佳杰,王帆,等.海洛因成瘾者渴求任务对大型脑网络影响的功能磁共振研究.磁共振成像, 2019, 10(3): 161-168.
[23]
时宏,陈佳杰,刘为,等. fMRI观察强制戒断对海洛因成瘾者渴求任务下大型脑网络的影响.中国医学影像技术, 2019, 35(8): 1169-1174.

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