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• Clinical Article •
Functional network connectivity analysis in sensorimotor area of Parkinson's disease
PAN Yu  QU Hang  ZHAO Yi  WANG Wei  LIU Jiangbing 

Cite this article as: Pan Y, Qu H, Zhao Y, et al. Functional network connectivity analysis in sensorimotor area of Parkinson's disease[J]. Chin J Magn Reson Imaging, 2021, 12(4): 6-11. DOI:10.12015/issn.1674-8034.2021.04.002.


[Abstract] Objective To investigate the connectivity intensity differences of whole-brain network and the sensorimotor network between Parkinson's disease patients (PD) and healthy control subjects (HC) by using independent component analysis (ICA) and functional network connectivity (FNC) analysis. Materials andMethods We recruited 30 primary Parkinson's disease patients who have enrolled in the department of neurology, the affiliated Hospital of Yangzhou University, and 30 healthy control subjects from January to December 2019, and performed resting state functional imaging scans. The whole brain was divided into 53 independent components (IC) and classified into seven brain networks by GIFT software package. Functional networks of the whole brain were compared by two-sample t-test. The sensorimotor network was divided into 18 IC and classified into six subregions. Functional subregions of the sensorimotor network were compared by two-sample t-test. Ultimately, we evaluated the connectivity intensity and Parkinson's Disease Rating Scale (UPDRS-Ⅲ) Scores in PD patients.Results Compared with HC group, it was found that the connectivity intensity between sensorimotor network and high-level visual network, as well as attention network was decreased in PD group. Within the sensorimotor network, the connectivity intensity between left precentral gyrus and right precentral gyrus, as well as paracentral lobule was decreased, but the connectivity intensity was increased between left precentral gyrus and left postcentral gyrus. Correlation analysis showed that the connectivity intensity between paracentral lobule and left precentral gyrus and left postcentral gyrus was negatively correlated with UPDRS-Ⅲ Score.Conclusions Compared with the healthy control group, there are connectivity differences between the functional networks of whole brain, and between the subregions of sensorimotor network in Parkinson's disease patients. And most of the connectivity intensity in PD patients were weaker than HC. It was suggested that abnormal brain functional connections may be the cause of motor dysfunction in Parkinson's disease patients, such as resting tremor, myotonia, bradykinesia and so on.
[Keywords] Parkinson's disease；functional magnetic resonance imaging；independent component analysis；functional network connectivity；sensorimotor network

PAN Yu1   QU Hang1   ZHAO Yi1   WANG Wei1*   LIU Jiangbing2  

1 Department of Imaging, Affiliated Hospital of Yangzhou University, Yangzhou 225000, China

2 Department of Neurology, Affiliated Hospital of Yangzhou University, Yangzhou 225000, China

Wang W, E-mail: waywang@126.com

Conflicts of interest   None.

This work was part of Scientific Research Project of Jiangsu Health Committee (No. z201618); Science and Technology Innovation Cultivation Fund of Yangzhou University (No. 2019cxj206); Key Discipline Program of Strengthening Health Project by Science &Technology and Education of "Thirteenth Five-Year Plan" in Yangzhou City (No. ZDXK201806).
Received  2020-09-29
Accepted  2021-01-12
DOI: 10.12015/issn.1674-8034.2021.04.002
Cite this article as: Pan Y, Qu H, Zhao Y, et al. Functional network connectivity analysis in sensorimotor area of Parkinson's disease[J]. Chin J Magn Reson Imaging, 2021, 12(4): 6-11. DOI:10.12015/issn.1674-8034.2021.04.002.

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