原发性失眠患者大脑额顶网络的异常功能连接
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摘要
目的:利用功能磁共振成像技术研究原发性失眠患者大脑异常功能连接,及其与病程和临床指标的相关性。方法:采集40例原发性失眠患者及35例在年龄、性别和受教育程度均匹配的健康被试在静息状态下的功能磁共振图像,从静息态功能磁共振数据中利用独立成分分析确定出10个静息态网络。利用FSL非参数置换检验进行双回归分析,从而检测10个静息态网络中基于体素的组间差异。利用皮尔逊相关分析检测异常的功能连接与各项临床指标的关系。结果:原发性失眠患者与正常对照组相比,在静息状态下大脑右侧额顶网络中的顶上回和额上回与网络内其他脑区的功能连接出现降低。进一步的相关分析发现,原发性失眠患者中异常的功能连接与临床指标无相关性。结论:证明在静息状态下原发性失眠患者大脑右侧额顶网络功能连接出现异常。本结果有利于理解原发性失眠患者大脑神经活动的改变。
Objective To investigate the abnormal functional connectivity in patients with primary insomnia via functional magnetic resonance imaging(f MRI) technology and discuss its relationships with the disease duration and clinical features of primary insomnia. Methods Forty patients with primary insomnia and 35 age-, gender-and education-matched healthy controls were selected to undergo a resting-state f MRI scan. Independent component analysis was used to identify 10 resting-state networks from resting-state f MRI data. FSL randomise non-parametric permutation test was used to carry out dual regression analysis for testing the voxel-based differences in 10 resting-state networks between two groups. Relationships between the abnormal functional connectivity and the clinical variables were investigated with Pearson correlation analysis. Results In the resting state,compared with normal controls, patients with primary insomnia showed that the superior parietal lobule and superior frontal gyrus in the right frontoparietal network had decreased functional connectivity with other brain regions in the network. Moreover, no significant correlations between abnormal functional connectivity and clinical indicators were found in patients with primary insomnia. Conclusion In the resting state, patients with primary insomnia are characterized by abnormal right frontoparietal network connectivity, and the finding in this study is conducive to the understanding of neural activity in patients with primary insomnia.
Objective To investigate the abnormal functional connectivity in patients with primary insomnia via functional magnetic resonance imaging(f MRI) technology and discuss its relationships with the disease duration and clinical features of primary insomnia. Methods Forty patients with primary insomnia and 35 age-, gender-and education-matched healthy controls were selected to undergo a resting-state f MRI scan. Independent component analysis was used to identify 10 resting-state networks from resting-state f MRI data. FSL randomise non-parametric permutation test was used to carry out dual regression analysis for testing the voxel-based differences in 10 resting-state networks between two groups. Relationships between the abnormal functional connectivity and the clinical variables were investigated with Pearson correlation analysis. Results In the resting state,compared with normal controls, patients with primary insomnia showed that the superior parietal lobule and superior frontal gyrus in the right frontoparietal network had decreased functional connectivity with other brain regions in the network. Moreover, no significant correlations between abnormal functional connectivity and clinical indicators were found in patients with primary insomnia. Conclusion In the resting state, patients with primary insomnia are characterized by abnormal right frontoparietal network connectivity, and the finding in this study is conducive to the understanding of neural activity in patients with primary insomnia.
引文
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[2]LI Y,WANG E,ZHANG H,et al.Functional connectivity changes between parietal and prefrontal cortices in primary insomnia patients:evidence from resting-state f MRI[J].Eur J Med Res,2014,19(1):32.
[3]HUANG Z,LIANG P,JIA X,et al.Abnormal amygdala connectivity in patients with primary insomnia:evidence from resting state f MRI[J].Eur J Radiol,2012,81(6):1288-1295.
[4]JOO E Y,NOH H J,KIM J S,et al.Brain gray matter deficits in patients with chronic primary insomnia[J].Sleep,2013,36(7):999-1007.
[5]ALTENA E,VRENKEN H,VAN DER WERF Y D,et al.Reduced orbitofrontal and parietal gray matter in chronic insomnia:a voxelbased morphometric study[J].Biol Psychiatry,2010,67(2):182-185.
[6]BECKMANN C F,DELUCA M,DEVLIN J T,et al.Investigations into resting-state connectivity using independent component analysis[J].Philos Trans R Soc Biol Sci,2005,360(1457):1001-1013.
[7]FOX M D,SNYDER A Z,VINCENT J L,et al.The human brain is intrinsically organized into dynamic,anticorrelated functional networks[J].Proc Natl Acad Sci U S A,2005,102(27):9673-9678.
[8]SMITH S M,FOX P T,MILLER K L,et al.Correspondence of the brain's functional architecture during activation and rest[J].Proc Natl Acad Sci U S A,2009,106(31):13040-13045.
[9]JENKINSON M,BANNISTER P,BRADY M,et al.Improved optimization for the robust and accurate linear registration and motion correction of brain images[J].Neuroimage,2002,17(2):825-841.
[10]SMITH S M.Fast robust automated brain extraction[J].Hum Brain Mapp,2002,17(3):143-155.
[11]JENKINSON M,SMITH S.A global optimisation method for robust affine registration of brain images[J].Med Image Anal,2001,5(2):143-156.
[12]GRIFFANTI L,SALIMI-KHORSHIDI G,BECKMANN C F,et al.ICA-based artefact removal and accelerated f MRI acquisition for improved resting state network imaging[J].Neuroimage,2014,95(4):232-247.
[13]SALIMI-KHORSHIDI G,DOUAUD G,BECKMANN C F,et al.Automatic denoising of functional MRI data:combining independent component analysis and hierarchical fusion of classifiers[J].Neuroimage,2014,90:449-468.
[14]CORBETTA M,SHULMAN G L.Control of goal-directed and stimulus-driven attention in the brain[J].Nat Rev Neurosci,2002,3(3):201-215.
[15]SEELEY W W,MENON V,SCHATZBERG A F,et al.Dissociable intrinsic connectivity networks for salience processing and executive control[J].J Neurosci,2007,27(9):2349-2356.
[16]WANG T,LI S,JIANG G,et al.Regional homogeneity changes in patients with primary insomnia[J].Eur Radiol,2016,26(5):1292-1300.
[17]COVASSIN N,DE ZAMBOTTI M,SARLO M,et al.Cognitive performance and cardiovascular markers of hyperarousal in primary insomnia[J].Int J Psychophysiol,2011,80(1):79-86.
[18]DRUMMOND S P,WALKER M,ALMKLOV E,et al.Neural correlates of working memory performance in primary insomnia[J].Sleep,2013,36(9):1307-1316.