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• Clinical Article •
Study of functional connectivity of default mode network and frontoparietal network in neuromyelitis optica
HAN Yong-liang  LI Yong-mei  LUO Qi  ZENG Chun  WANG Jing-jie  DU Si-lin  ZHANG Xiao-hui  GUO You-you 

DOI:10.12015/issn.1674-8034.2017.02.006.


[Abstract] Objective: To evaluate the difference of brain default mode network (DMN) and frontoparietal network (FPN) connectivity of neuromyelitis optica (NMO) by using independent component analysis (ICA), and the correlation with clincal score.Materials and Methods: Twenty NMO patients (NMO group) and twenty healthy controls (control group) underwent rest-state fMRI. The fMRI data were analyzed by using GIFT software, and the differences of functional connectivity (FC) between the two groups were compared with SPM8. The correlation between altered parameters of FC and expanded disability status scale (EDSS) scores, disease duration were further explored using the Pearson correlation coefficients.Results: Compared with the control group, the FC score of DMN in NMO group significantly decreased in the right middle frontal cortex and right middle occipital cortex, while increased in bilateral lingual gyrus, extended to right superior parietal lobule and left supplementary motor area; the FC score of FPN decreased in bilateral cuneus cortex, while no FC score increased area. In addition, the FC score changes of right lingual gyrus correlated with disease duration.Conclusion: The FC abnormalities in DMN and FPN in NMO patients may beprovide an evidence that the spinal cord and optic neuritis caused not only corresponding clincal symptoms but also brain hidden and widespread damage. Altered functional changes in multiple brain regions may be caused by the secondary spinal cord lesions of retrograde sensorimotor cortex lesions, demonstrate that the brain functional network is a complex interconnected network with both the process of damage and compensation.
[Keywords] Neuromyelitis optica；Magnetic resonance imaging, functional；Brain network；Independent component analysis；Functional connectivity

HAN Yong-liang Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China

LI Yong-mei* Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China

LUO Qi Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China

ZENG Chun Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China

WANG Jing-jie Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China

DU Si-lin Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China

ZHANG Xiao-hui Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China

GUO You-you Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China

*Correspondence to: Li YM, E-mail: lymzhang70@aliyun.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of National Nature Science Foundation of China No. 81171309 National Key Clinical Specialist Program No. [2013]544 Key Medical Scientific Research Projects of Chongqing Municipal Commission of Health and Family Planning No. 2016ZDXM002 Key Project of Chongqing Municipal Commission of Health and Family Planning No. 2012-1-017
Received  2016-11-11
Accepted  2016-12-19
DOI: 10.12015/issn.1674-8034.2017.02.006
DOI:10.12015/issn.1674-8034.2017.02.006.

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