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The methods and quality control of fMRI research on mechanism of heroin addiction
LIU Jie-rong  CHEN Jia-jie  YANG Ping  LI Wei  ZHU Jia  SHI Hong  WEI Xuan  LI Yong-bin  LI Qiang  WANG Wei 

DOI:10.12015/issn.1674-8034.2017.08.013.


[Abstract] Heroin addiction is a chronic recurrent functional disease of brain, and its mechanism is not clear. Functional magnetic resonance imaging (fMRI) plays an increasingly important role in revealing the mechanism of heroin addiction. Based on long-term research practice of the author's team, this paper focused on fMRI methods and quality control related with the study on mechanism of heroin addiction. We hope to provide some reference for people who plan to carry out fMRI studies on the mechanism of heroin addiction.
[Keywords] Heroin dependence；Magnetic resonance imaging, functional；Quality control

LIU Jie-rong Department of Radiology, Tangdu Hospital, the Fourth Military Medical University, Xi’an 710038, China

CHEN Jia-jie Department of Radiology, Tangdu Hospital, the Fourth Military Medical University, Xi’an 710038, China

YANG Ping School hospital of Xi'an University of Finance and Economics, Xi'an 710061, China

LI Wei Department of Radiology, Tangdu Hospital, the Fourth Military Medical University, Xi’an 710038, China

ZHU Jia Department of Radiology, Tangdu Hospital, the Fourth Military Medical University, Xi’an 710038, China

SHI Hong Department of Radiology, Tangdu Hospital, the Fourth Military Medical University, Xi’an 710038, China

WEI Xuan Department of Radiology, Tangdu Hospital, the Fourth Military Medical University, Xi’an 710038, China

LI Yong-bin Department of Radiology, Tangdu Hospital, the Fourth Military Medical University, Xi’an 710038, China

LI Qiang* Department of Radiology, Tangdu Hospital, the Fourth Military Medical University, Xi’an 710038, China

WANG Wei Department of Radiology, Tangdu Hospital, the Fourth Military Medical University, Xi’an 710038, China

*Correspondence to: Li Q, E-mail: tdqiangqiang@foxmail.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of National Natural Science Foundation No. 81671661, 81371532
Received  2017-03-31
Accepted  2017-06-12
DOI: 10.12015/issn.1674-8034.2017.08.013
DOI:10.12015/issn.1674-8034.2017.08.013.

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