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帕金森病大脑运动控制及调节网络功能研究及临床相关性分析 被引量:9

Research of Motor Control and Regulation Functional Network in Parkinson Disease and Clinical Correlation Analysis
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摘要 目的通过运用独立成分分析法(ICA)对比帕金森病(PD)组与正常对照组(NC)之间大脑运动控制与调节功能区的差异性并分析网络内各独立成分(IC)功能连接(FC)强度变化与运动功能症状的相关性。方法采用Siemens Skyra 3.0 T磁共振扫描仪对30例PD患者及28名对照组受试者进行静息态功能磁共振成像扫描,通过软件将全脑分为33个IC,对双侧感觉运动功能网络、岛叶网络及双侧小脑网络各IC行双样本t检验比较(P<0.05),检验结果经FDR多重比较校正(P<0.05),观察两组间各成分功能区差异性,并将病例组存在统计学差异的功能网络信号强度与帕金森病统一评分量表(UPDRS)运动功能部分的评分做相关性分析。结果PD组较NC组在感觉运动脑区中的双侧补充运动脑区(SMA)、左侧中央前回、中央旁小叶及中央后回功能减低,双侧小脑半球功能减低,但在双侧岛叶发现岛叶后部局部功能升高;而在各功能网络与UPDRS运动评分之间相关性评价发现存在显著负相关性分别为感觉运动网络内的左侧中央后回IC1(r=-0.734)、运动感觉皮质IC21(r=-0.367)及小脑网络IC22(r=-0.416)。结论PD与NC之间功能网络的差异以及部分脑网络的IC与运动评分之间的显著负相关性或许能从脑功能成像解释疾病所致运动功能异常如运动迟缓、震颤、僵直、躯体平衡功能降低等症状的产生的原因。 Objective To compare the differences of brain motion control and regulatory function areas between Parkinson’s case group(PD)and normal control area(NC)by using independent component analysis method(ICA)and to analyze the functional connection strength of each independent component(IC)in the network with correlation between changes and motor function symptoms.Methods A Siemens Skyra 3.0 Tesla magnetic resonance scanner was used to perform resting state functional imaging scans on 30 PD patients and 28 control subjects,and the whole brain was divided into 33 independent components(IC)by software.Functional areas of the sensorimotor network,insula network and cerebellum network were compared by two-sample t test(P<0.05).Ultimately we evaluated the correlation between Z-scores in each independent component(IC)and Unified Parkinson’s Disease Rating Scale(UPDRS-Ⅲ)scores in PD patients.Results We identified significant increase in the bilateral posterior insula,but decrease in bilateral cerebellar hemisphere SMA and left postcentral lobe,precentral gyrus and paracentral lobule which were included in sensorimotor network by ICA.it was found that there was a significant negative correlation between UPDRS-Ⅲscores and the z-scores in sensorimotor network which include left central posterior gyrus(IC1 r=-0.734),motor sensory cortex(IC21 r=-0.367)and in cerebellar network(IC22 r=-0.416).Conclusion The differences of functional networks between PD and NC and the significant negative correlation between ICs in each brain network and UPDRS-Ⅲscores by fMRI may explain the causes of motor dysfunction in PD,such as bradykinesia,tremor,rigidity,decreased somatic balance control and other symptoms.
作者 王帅文 雷军强 郭顺林 WANG Shuaiwen;LEI Junqiang;GUO Shunlin(Radiology Department,The First Hospital of Lanzhou University,Lanzhou 730000,P.R.China)
出处 《临床放射学杂志》 CSCD 北大核心 2020年第3期435-439,共5页 Journal of Clinical Radiology
关键词 功能磁共振成像 功能连接 独立成分分析 帕金森病 fMRI Functional connectivity Independent component analysis Parkinson’s disease
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