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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.

1
Straka I, Minár M, Gažová A, et al. Clinical aspects of adherence to pharmacotherapy in Parkinson disease: A PRISMA-compliant systematic review[J]. Medicine (Baltimore), 2018, 97(23): e10962. DOI: 10.1097/MD.0000000000010962.
2
Sveinbjornsdottir S. The clinical symptoms of Parkinson's disease[J]. J Neurochem, 2016, 139(Suppl 1): 318-324. DOI: 10.1111/jnc.13691.
3
Ogawa S. Finding the BOLD effect in brain images[J]. Neuroimage, 2012, 62(2): 608-609. DOI: 10.1016/j.neuroimage.2012.01.091.
4
McKeown MJ, Makeig S, Brown GG, et al. Analysis of fMRI data by blind separation into independent spatial components[J]. Hum Brain Mapp, 1998, 6(3): 160-188.
5
Demirci O, Stevens MC, Andreasen NC, et al. Investigation of relationships between fMRI brain networks in the spectral domain using ICA and Granger causality reveals distinct differences between schizophrenia patients and healthy controls[J]. Neuroimage, 2009, 46(2): 419-431. DOI: 10.1016/j.neuroimage.2009.02.014.
6
Di X, Biswal BB. Dynamic brain functional connectivity modulated by resting-state networks[J]. Brain Struct Funct, 2015, 220(1): 37-46. DOI: 10.1007/s00429-013-0634-3.
7
Assaf M, Jagannathan K, Calhoun V, et al. Temporal sequence of hemispheric network activation during semantic processing: a functional network connectivity analysis[J]. Brain Cogn, 2009, 70(2): 238-246. DOI: 10.1016/j.bandc.2009.02.007.
8
Rubbert C, Mathys C, Jockwitz C, et al. Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivity[J]. Br J Radiol, 2019, 92(1101): 20180886. DOI: 10.1259/bjr.20180886.
9
Filippi M, Elisabetta S, Piramide N, et al. Functional MRI in Idiopathic Parkinson's Disease[J]. Int Rev Neurobiol, 2018, 141(1): 439-467. DOI: 10.1016/bs.irn.2018.08.005.
10
Putcha D, Ross RS, Cronin-Golomb A, et al. Salience and default mode network coupling predicts cognition in aging and Parkinson's disease[J]. J Int Neuropsychol Soc, 2016, 22(2): 205-215. DOI: 10.1017/S1355617715000892.
11
Kim J, Criaud M, Cho SS, et al. Abnormal intrinsic brain functional network dynamics in Parkinson's disease[J]. Brain, 2017, 140(11): 2955-2967. DOI: 10.1093/brain/awx233.
12
Defer GL, Widner H, Marié RM, et al. Core assessment program for surgical interventional therapies in Parkinson's disease (CAPSIT-PD)[J]. Mov Disord, 1999, 14(4): 572-584. DOI: 10.1002/1531-8257(199907)14:4<572::aid-mds1005>3.0.co;2-c.
13
Goetz CG, Tilley BC, Shaftman SR, et al. Movement disorder society-sponsored revision of the unified Parkinson's disease rating scale (MDS-UPDRS): scale presentation and clinimetric testing results[J]. Mov Disord, 2008, 23(15): 2129-2170. DOI: 10.1002/mds.22340.
14
Rachakonda S, Silva RF, Liu J, et al. Memory efficient PCA methods for large group ICA[J]. Front Neurosci, 2016, 10(2): 17. DOI: 10.3389/fnins.2016.00017.
15
Shirer WR, Ryali S, Rykhlevskaia E, et al. Decoding subject-driven cognitive states with whole-brain connectivity patterns[J]. Cereb Cortex, 2012, 22(1): 158-165. DOI: 10.1093/cercor/bhr099.
16
Espinoza FA, Anderson NE, Vergara VM, et al. Resting-state fMRI dynamic functional network connectivity and associations with psychopathy traits[J]. Neuroimage Clin, 2019, 24(1): 101970. DOI: 10.1016/j.nicl.2019.101970.
17
Allen EA, Erhardt EB, Damaraju E, et al. A baseline for the multivariate comparison of resting-state networks[J]. Front Syst Neurosci, 2011, 5(1): 2. DOI: 10.3389/fnsys.2011.00002.
18
Sarmiento AC, Bocanegra García Y, Ochoa Gómez JF. Active information storage in Parkinson's disease: a resting state fMRI study over the sensorimotor cortex[J]. Brain Imaging Behav, 2020, 14(4): 1143-1153.
19
Amboni M, Tessitore A, Esposito F, et al. Resting-state functional connectivity associated with mild cognitive impairment in Parkinson's disease[J]. J Neurol, 2015, 262(2): 425-434. DOI: 10.1007/s00415-014-7591-5.
20
Chen Y, Yu CX. Static and dynamic functional connectivity analysis based on resting state functional magnetic resonance imaging and its progress[J]. Chin J Magn Reson Imaging, 2019, 10(8): 637-640. DOI: 10.12015/issn.1674-8034.2019.08.017.
21
Postuma RB, Berg D, Stern M, et al. MDS clinical diagnostic criteria for Parkinson's disease[J]. Mov Disord, 2015, 30(12): 1591-1601. DOI: 10.1002/mds.26424.
22
Tessitore A, Giordano A, De Micco R, et al. Sensorimotor connectivity in Parkinson's disease: the role of functional neuroimaging[J]. Front Neurol, 2014, 5(1): 180. DOI: 10.3389/fneur.2014.00180.
23
Lewis GN, Byblow WD. Altered sensorimotor integration in Parkinson's disease[J]. Brain, 2002, 125(Pt 9): 2089-2099. DOI: 10.1093/brain/awf200.
24
Archibald NK, Clarke MP, Mosimann UP, et al. Visual symptoms in Parkinson's disease and Parkinson's disease dementia[J]. Mov Disord, 2011, 26(13): 2387-2395. DOI: 10.1002/mds.23891.
25
Wu T, Long X, Wang L, et al. Functional connectivity of cortical motor areas in the resting state in Parkinson's disease[J]. Hum Brain Mapp, 2011, 32(9): 1443-1457. DOI: 10.1002/hbm.21118.
26
Weil RS, Schrag AE, Warren JD, et al. Visual dysfunction in Parkinson's disease[J]. Brain, 2016, 139(11): 2827-2843. DOI: 10.1093/brain/aww175.
27
de Schipper LJ, Hafkemeijer A, van der Grond J, et al. Altered whole-brain and network-based functional connectivity in Parkinson's disease[J]. Front Neurol, 2018, 9(1): 419. DOI: 10.3389/fneur.2018.00419.
28
Hacker CD, Perlmutter JS, Criswell SR, et al. Resting state functional connectivity of the striatum in Parkinson's disease[J]. Brain, 2012, 135(Pt 12): 3699-3711. DOI: 10.1093/brain/aws281.
29
Glickstein M. How are visual areas of the brain connected to motor areas for the sensory guidance of movement?[J]. Trends Neurosci, 2000, 23(12): 613-617. DOI: 10.1016/s0166-2236(00)01681-7.
30
Tard C, Dujardin K, Bourriez JL, et al. Attention modulation during motor preparation in Parkinsonian freezers: A time-frequency EEG study[J]. Clin Neurophysiol, 2016, 127(12): 3506-3515. DOI: 10.1016/j.clinph.2016.09.014.
31
Wang SW, Lei JQ, Guo SL. Research of motor control and regulation functional network in Parkinson disease and clinical correlation analysis[J]. J Clin Radiol, 2020, 39(3): 435-439.
32
Prasad S, Saini J, Yadav R, et al. Motor asymmetry and neuromelanin imaging: Concordance in Parkinson's disease[J]. Parkinsonism Relat Disord, 2018, 53(1): 28-32. DOI: 10.1016/j.parkreldis.2018.04.022.
33
Tessitore A, Cirillo M, De Micco R. Functional connectivity signatures of Parkinson's disease[J]. J Parkinsons Dis, 2019, 9(4): 637-652. DOI: 10.3233/JPD-191592.
34
Buhmann C, Glauche V, Stürenburg HJ, et al. Pharmacologically modulated fMRI--cortical responsiveness to levodopa in drug-naive hemiparkinsonian patients[J]. Brain, 2003, 126(Pt 2): 451-461. DOI: 10.1093/brain/awg033.

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