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Clinical Article
Imbalanced communication among brain networks in chronic pain disorder: Meta-analysis of resting-state functional connectivity
CHENG Jian  WU wen 

DOI:10.12015/issn.1674-8034.2017.01.007.


[Abstract] Objective: To describe the change of functional connectivity of resting-state brain in chronic pain status by Meta-analysis.Materials and Methods: A database search was performed in PubMed, EMBASE, Web of Science, and BrainMap for literature published from database establishment to September 2016. Based on inclusion and exclusion criteria, studies supporting fMRI analysis of the resting-state brain in chronic pain were collected. The Talairach coordinates are uniformly transformed into MNI coordinates using Icbm2tal software.Results: Twenty studies were identified with a total of 389 subjects. Meta-analysis showed that chronic pain causes abnormal functioning of the default network. We chose insula as seed, the hyperconnectivity consists between insula and regions of default mode network include anterior cingulate, posterior cingulate, precuneus, inferior parietal lobule and medial prefrontal cortex.Conclusions: Our results suggest that abnormal functional connectivity between insula and default mode networks, may reflect chronic pain towards cognitive control and emotion processing. These findings provide an empirical foundation for a neurocognitive model in which brain network underlies core cognitive and affective abnormalities in chronic pain.
[Keywords] Chronic pain;Functional connectivity;Magnetic resonance imaging;Meta-analysis

CHENG Jian Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China

WU wen* Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China

*Correspondence to: Wu W, E-mail: wuwen66@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was supported by Grants from the National Natural Science Foundation of China (NNSFC), China No. 81473769 and the Natural Science Foundation of Guangdong Province, China No. 2014A030313335
Received  2016-09-29
Accepted  2016-11-27
DOI: 10.12015/issn.1674-8034.2017.01.007
DOI:10.12015/issn.1674-8034.2017.01.007.

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