摘要
目的探索阿尔茨海默病疾病进程中大脑内在功能活动及结构改变的同步性。方法本研究纳入从2009年9月至2016年6月于宣武医院记忆门诊就诊受试,包括健康受试(HC)68名、主观认知下降(SCD)35例、遗忘型轻度认知障碍(aMCI)47例和阿尔茨海默病痴呆受试(AD)31例。所有受试者首先计算得到磁共振数据的低频振荡波幅(ALFF)图以及扩散张量成像数据的部分各向异性(FA)图,然后采用联合独立成分分析(Joint ICA)进行融合分析,最后利用单因素方差分析方法统计分析联合成分权值的组间差异,偏相关分析计算独立成分权值与认知测试结果的相关性。结果本研究结果显示HC比SCD组权值无组间差异,相较于HC、SCD及AD组(F=14.16,P<0.05),aMCI组ALFF成分在小脑、双侧楔前叶、双侧角回以及双侧额叶、颞叶、丘脑及左侧岛叶增高,AD组比HC组降低。FA成分在胼胝体及边缘系统亦表现出相同的趋势。经偏相关分析显示,独立成分的权值与简易智力状态量表(MMSE)得分呈正相关(r=0.29,P<0.01)。结论通过联合独立成分分析实现阿尔茨海默病的功能-结构改变同步评估,为AD早期预测及有效干预提供了可能。
Objective We utilized a joint independent component analysis (Joint ICA),a novel method that combined rs-fMRI and DTI information,to describe comprehensive characteristics of brain functional activities and microstructural changes in the continuum of AD.Methods We employed a Joint ICA to calculate ALFF maps of fMRI data and FA maps of DTI data and fuse them in healthy controls (n=68),SCD (n=35),amnesic MCI (n=47) and AD (n=31).Besides,we applied one way ANOVA to detect the significant differences of joint components among groups,while controlling the age,gender,education,head motion,volumes of gray matter,white matter and CSF.Partial correlation analysis was used to test the relationships between joint ICs and cognitive measures.Results The results showed that there was no inner-group difference in HC and SCD groups (F=14.16,P<0.05).Compared to HC,SCD and AD groups,the ALFF component of aMCI group showed higher values in the bilateral cerebellum,bilateral precuneus,bilateral angular gyrus,bilateral frontal gyrus,bilateral temporal areas,thalamus and left insula.And in these regions,the ALFF of AD group was lower than HC.For the FA component map,same differences were found in the corpus callosum and limbic system.Furthermore,positive partial correlation between the IC weights and Mini-Mental State Examination (MMSE) scores was also found (r=0.29,P<0.01).Conclusions Multi-modal evaluation of AD has been implemented by using Joint ICA analysis of fMRI-DTI,which would contribute to early prediction,diagnosis,and even effective intervention in AD.These findings could help to explain the underlying mechanism of the disease progression.
作者
于海阔
董立
杨昆
罗程
尧德中
韩璎
杜文莹
Yu Haikuo;Dong Li;Yang Kun;Luo Cheng;Yao Dezhong;Han Ying;Du Wenying(Department of Rehabilitation Medicine,Xuanwu Hospital of Capital Medical University,Beijing 100053,China;Key Laboratory for Neuroinformation of Ministry of Education,School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu 610054,China;Center for Evidence Based Medicine,Xuanwu Hospital of Capital Medical University,Beijing 100053,China;Department of Neurology,Xuanwu Hospital of Capital Medical University,Center of Alzheimer′s Disease,Beijing Institute for Brain Disorders,Beijing Institute of Geriatrics,National Clinical Research Center for Geriatric Disorders,Beijing 100053,China;Department of Neurology,Xuanwu Hospital of Capital Medical University,Beijing 100053,China)
出处
《中华放射学杂志》
CAS
CSCD
北大核心
2019年第8期642-646,647,共6页
Chinese Journal of Radiology
基金
国家重点研发计划(2016YFC1306300)
国家自然科学基金(61633018,81430037)
北京市自然科学基金重点项目(7161009)
北京市卫生和计划生育委员会专项基金(PXM2019_026283_000002).
关键词
阿尔茨海默病
磁共振成像
弥散张量成像
联合独立成分分析
Alzheimer disease
Magnetic resonance imaging
Diffusion tensor imaging
Joint independent component analysis
