Impairment of small world network and degree centrality in relapse-remitting multiple sclerosis patients
LIN Dan1 ZHOU Li1 TAN Zhongjian2 ZHOU Ying1 HAN Xiao1 CUI Fangyuan1
1.Department of Encephalopathy, Dongzhimen Hospital of Beijing University of Chinese Medicine, Beijing 100700, China;
2.Department of Radiology, Dongzhimen Hospital of Beijing University of Chinese Medicine, Beijing 100700, China
Abstract：Objective To investigate the small-world network impairment and changes of degree centrality in patients with relapsing-remitting multiple sclerosis (RRMS). Methods A total of 20 patients with RRMS who were admitted to Dongzhimen Hospital of Beijing University of Chinese Medicine from January 2014 to January 2020 were enrolled as the observation group, and 15 matched healthy volunteers were selected as the control group. NMR data and neural scale data of all subjects were collected, functional brain network was constructed by GRETNA software, and degree centrality (DC) was extracted by RESTPLUS software. Results Both groups of functional brain networks were consistent with small-world network properties. Compared with the control group, the global efficiency of shortest path length in the observation group was higher than that in the control group, and the difference was statistically significant (P＜0.05), the small world attribute, normalized cluster coefficient, and global efficiency were lower than those in the control group, and the differences were statistically significant (P＜0.05); in DC analysis, after FWEc correction, DC values in the middle frontal gyrus, precuneus, cuneus in the observation group were higher than those in the control group, and DC values in the inferior temporal gyrus, fusiform gyrus were lower than those in the control group, and the differences were highly statistically significant (P＜0.01). Conclusion Patients with RRMS show a decrease in small-world attributes and other network parameters, indicating a decrease in the efficiency of information transmission and interaction between brain regions, which provides objective imaging evidence for the neuropathological mechanism of RRMS patients.
林丹1 周莉1 谭中建2 周莹1 韩笑1 崔方圆1 . 复发缓解型多发性硬化患者小世界网络受损和度中心性分析[J]. 中国医药导报, 2023, 20(17): 73-77.
LIN Dan1 ZHOU Li1 TAN Zhongjian2 ZHOU Ying1 HAN Xiao1 CUI Fangyuan1. Impairment of small world network and degree centrality in relapse-remitting multiple sclerosis patients. 中国医药导报, 2023, 20(17): 73-77.
[1] Oh J，Vidal-Jordana A，Montalban X. Multiple sclerosis：clinical aspects [J]. Curr Opin Neurol，2018，31（6）：752-759.
[2] Kobelt G，Thompson A，Berg J，et al. MSCOI Study Group; European Multiple Sclerosis Platform. New insights into the burden and costs of multiple sclerosis in Europe [J]. Mult Scler，2017，23（8）：1123-1136.
[3] Kalincik T. Multiple Sclerosis Relapses： Epidemiology，Outcomes and Management. A Systematic Review [J]. Neuroepidemiology，2015，44（4）：199-214.
[4] Iannetti GD，Wise RG. BOLD functional MRI in disease and pharmacological studies： room for improvement? [J]. Magn Reson Imaging，2007 ，25（6）：978-988.
[5] Sporns O. Network attributes for segregation and integration in the human brain [J]. Curr Opin Neurobiol，2013，23（2）：162-171.
[6] Thompson AJ，Banwell BL，Barkhof F，et al. Diagnosis of multiple sclerosis： 2017 revisions of the McDonald criteria [J]. Lancet Neurol，2018，17（2）：162-173.
[7] Kurtzke JF. Rating neurologic impairment in multiple sclerosis： an expanded disability status scale （EDSS） [J]. Neurology，1983，33（11）：1444-1452.
[8] Vickrey BG，Hays RD，Harooni R，et al. A health-related qua- lity of life measure for multiple sclerosis [J].Qual Life Res，1995，4（3）：187-206.
[9] 梁夏，王金辉，贺永.人脑连接组研究：脑结构网络和脑功能网络[J].科学通报，2010，55（16）：1565-1583.
[10] Hawkins R，Shatil AS，Lee L，et al. Reduced Global Efficiency and Random Network Features in Patients with Relapsing-Remitting Multiple Sclerosis with Cognitive Impairment [J]. AJNR Am J Neuroradiol. 2020，41（3）：449-455.
[11] Zuo XN，Ehmke R，Mennes M，et al. Network centrality in the human functional connectome [J]. Cereb Cortex，2012， 22（8）：1862-1875.
[12] 郭油油，李咏梅，刘义，等.多发性硬化患者中枢听觉传导通路的扩散张量成像[J].中国医学影像技术，2016， 32（11）：1654-1658.
[13] Di Stadio A，Dipietro L，Ralli M，et al. Sudden hearing loss as an early detector of multiple sclerosis： a systematic review [J]. Eur Rev Med Pharmacol Sci，2018，22（14）：4611- 4624.
[14] Akbar N，Giorgio A，Till C，et al. Alterations in Functional and Structural Connectivity in Pediatric-Onset Multiple Sclerosis [J]. PLoS One，2016，11（1）：e0145906.
[15] Hawellek DJ，Hipp JF，Lewis CM，et al.Increased functional connectivity indicates the severity of cognitive impairment in multiple sclerosis [J]. Proc Natl Acad Sci USA，2011， 108（47）：19066-19071.
[16] Manson SC，Wegner C，Filippi M，et al. Impairment of mo- vement-associated brain deactivation in multiple sclerosis： further evidence for a functional pathology of interhemispheric neuronal inhibition [J]. Exp Brain Res，2008， 187（1）：25-31.
[17] Leech R，Sharp DJ. The role of the posterior cingulate cortex in cognition and disease [J]. Brain， 2014，137（Pt 1）：12- 32.
[18] Lansley J，Mataix-Cols D，Grau M，et al. Localized grey matter atrophy in multiple sclerosis： a meta-analysis of voxel-based morphometry studies and associations with functional disability [J]. Neurosci Biobehav Rev，2013，37（5）：819-830.
[19] Lemon RN. Descending pathways in motor control [J]. Annu Rev Neurosci，2008，31：195-218.
[20] Ruiz-Rizzo AL，Bublak P，Kluckow S，et al. Neural distinctiveness of fatigue and low sleep quality in multiple sclerosis [J]. Eur J Neurol，2022，29（10）：3017-3027.
[21] Stefancin P，Govindarajan ST，Krupp L，et al. Resting-state functional connectivity networks associated with fatigue in multiple sclerosis with early age onset [J]. Mult Scler Relat Disord，2019，31：101-105.
[22] White AT，Lee JN，Light AR，et al. Brain activation in multiple sclerosis： a BOLD fMRI study of the effects of fatiguing hand exercise [J]. Mult Scler，2009，15（5）：580-586.
[23] Filli L，Sutter T，Easthope CS，et al. Profiling walking dysfunction in multiple sclerosis： characterisation，classification and progression over time [J]. Sci Rep，2018，8（1）：4984.
[24] Kupfer DJ，Frank E，Phillips ML. Major depressive disorder： new clinical，neurobiological，and treatment perspectives [J]. Lancet，2012，379（9820）：1045-1055.
[25] Zhao P，Yan R，Wang X，et al. Reduced Resting State Neural Activity in the Right Orbital Part of Middle Frontal Gyrus in Anxious Depression [J]. Front Psychiatry，2020， 10：994.
京公网安备 11010502046598号