女性阿尔茨海默病患者静息态功能磁共振图像FC分析
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摘要
利用静息态功能磁共振对阿尔茨海默病(Alzheimer disease,AD)患者发病机制和病理过程的研究结果表明AD患者脑功能的改变早于脑结构的改变,女性患病率是男性的2倍.针对不同年龄段女性患者静息态功能磁共振成像(resting-state functional magnetic resonance imaging,rs-fMRI),基于SPM(statistical parametric mapping,SPM)对图像进行时间上的时间层校正以消除时间差;空间上的头动校正、归一化、平滑等操作降低个体间差异.采用独立分量分析(independent component analysis,ICA)及聚类等方法进行盲源分离和稳定性分析,通过统计检验及组间对比研究女性患者各脑区之间的连接关系及其强弱,进而判断功能连接(functional connectivity,FC)差异,为女性AD患者临床前期诊断提供参考.
The studies on the pathogenesis and pathological process of Alzheimer's disease by resting state functional magnetic resonance show that changes in brain function of AD patients are earlier than changes in brain structure,and the prevalence rate of females is twice than that of males.According to the rs-fMRI for females of different ages,time layer correction is performed on the image based on SPM to eliminate the elimination of time difference;Head motion correction,normalization and smooth skating in space reduces the difference between individuals.The blind source separation and stability analysis were carried out by the methods of independent component analysis(ICA)and clustering.The connection and strength of the brain regions of female patients were studied by statistical test and comparison,and then the difference of functional connectivity(FC)was judged,which provide reference for females AD patients in preclinical diagnosis.
The studies on the pathogenesis and pathological process of Alzheimer's disease by resting state functional magnetic resonance show that changes in brain function of AD patients are earlier than changes in brain structure,and the prevalence rate of females is twice than that of males.According to the rs-fMRI for females of different ages,time layer correction is performed on the image based on SPM to eliminate the elimination of time difference;Head motion correction,normalization and smooth skating in space reduces the difference between individuals.The blind source separation and stability analysis were carried out by the methods of independent component analysis(ICA)and clustering.The connection and strength of the brain regions of female patients were studied by statistical test and comparison,and then the difference of functional connectivity(FC)was judged,which provide reference for females AD patients in preclinical diagnosis.
引文
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[2]MARCO M,MENEGHELLO F,DUZZI D,et al.Cognitive stimulation of the default-mode network modulates functional connectivity in healthy ageing[J].Brain Research Bulletin,2016,121(7):26-41.DOI:10.1016/j.brainresbull.2015.12.001.
[3]陈庆华,张凤强,李立新,等.阿尔茨海默病发病机制和诊断技术研究进展[J].中华老年心脑血管病杂志,2018(1):108-110.DOI:10.3969/j.issn.1009-0126.2018.01.029.
[4]SKUP M,ZHU H,WANG Y,et al.Sex differences in grey matter atrophy patterns among AD and aMCI patients:results from ADNI[J].Neuroimage,2011,56(3):890-906.DOI:10.1016/j.neuroimage.2011.02.060.
[5]郑伟,李凯玄,张晶,等.基于改进蝙蝠算法的甲状腺SPECT-B超图像配准[J].河北大学学报(自然科学版),2015,35(5):520-525.DOI:10.3969/j.issn.1000-1565.2015.05.013.ZHENG W,LI K X,ZHANG J,et al.Registration of SPECT image and B-type ultrasound image based on improved bat algorithm[J].Journal of Hebei University(Natural Science Edition),2015,35(5):520-525.DOI:10.3969/j.issn.1000-1565.2015.05.013.
[6]郑伟,孟繁婧,田华,等.基于混合蛙跳算法的SPECT-B超甲状腺图像配准[J].河北大学学报(自然科学版),2013,33(3):305-311.DOI:10.3969/j.issn.1000-1565.2013.03.015.ZHENG W,MENG F J,TIAN H,et al.Registration of SPECT image and B-type ultrasound image based on shuffled frog leaping algorithm[J].Journal of Hebei University(Natural Science Edition),2013,33(3):305-311.DOI:10.3969/j.issn.1000-1565.2013.03.015.
[7]王光磊,许梦龙,刚芹果,等.虚拟血管介入手术中连续导丝模型[J].河北大学学报(自然科学版),2018,38(2):211-216.DOI:10.3969/j.issn.1000-1565.2018.02.014.WANG G L,XU M L,GANG Q G,et a.Guide wire modeling in virtual vascular interventional surgery system[J].Journal of Hebei University(Natural Science Edition),2018,38(2):211-216.DOI:10.3969/j.issn.1000-1565.2018.02.014.
[8]KLOBUSIAKOVA P,MARECEK R,REKTOROVA I.12-Distinct between-network functional connectivity changes in Parkinson’s disease related to cognition:A follow-up study[J].Clinical Neurophysiology,2018,129(4):e10.DOI:10.1016/j.clinph.2018.01.032.
[9]CHAOVALITWONGSE W A,WON D,SEREF O,et al.Network optimization of functional connectivity within cefault mode network regions to detect cognitive decline[J].IEEE Trans Neural Syst Rehabil Eng,2017,99:1079-1089.DOI:10.1109/TNSRE.2017.2679056.
[10]HAFKEMEIJER A,MLLER C,DOPPER E G,et al.A longitudinal study on resting state functional connectivity in behavioral variant frontotemporal dementia and alzheimer's disease[J].Journal of Alzheimers Disease Jad,2016,55(2):521.DOI:10.3233/JAD-150695.
[11]ABE O,TAKAO H,GONOI W,et al.Voxel-based analysis of the diffusion tensor[J].Neuroradiology,2010,52(8):699-710.DOI:10.1007/s00234-010-0716-3.
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[13]陈军,石玉虎,王倪传,等.基于有效检测准则的fMRI源信号数目的估计方法[J].安徽大学学报(自然科学版),2016,40(1):64-72.DOI:10.3969/j.issn.1000-2162.2016.01.011.CHEN J,SHI Y H,WANG N C,et al.A new method for estimating the number of sources in fMRI data based on the efficient detection criterion[J].Journal of Anhui University(Natural Science Edition),2016,40(1):64-72.DOI:10.3969/j.issn.1000-2162.2016.01.011.
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